Engineering Fellowships for Growth: Materials by Design for Impact in Aerospace Engineering
Lead Research Organisation:
University of Bath
Department Name: Mechanical Engineering
Abstract
Policy makers and regulatory bodies are demanding the aerospace industry reduces CO2 emission by 50% and NOx emission by 80% by 2020. In order to meet these drastic demands and ensure affordable air travel in the future, it is essential to make lighter aircraft which will use minimum fuel. The aerospace research community recognises the need to make a dramatic performance improvement and is considering several new aircraft concepts that move away from the conventional two-wing-one-fuselage configuration. This brings new challenges to aircraft design. A wing is a highly complex structure to design as it needs to consider the complex interaction between aerodynamics and structural behaviour. The current design practice is therefore very much based on using the previous successful design data. The challenge of departing from the conventional aircraft is that there are limited successful historical design data that is applicable to new concept aircraft. Once we have a wing design, however, there are sophisticated computational methods that analyse how the wing behaves under external flight conditions.
In fact, there has been a significant level of development in computational analysis methods taking advantage of growing computational power. A prime example of this is the recent development in the computational modelling of materials. Using this technology, new advanced materials can be created in half the time that traditional material development takes and the return on investment in computational materials research has been estimated at between 300 - 900%.
This fellowship is at the heart of developing sophisticated computational methods to design aircraft configurations that have not been considered before. The majority of the current methods analyse how a given material or structure responds to the external environment such as in flight at speed Mach 0.8, 38000 ft. What is different about the methods in this research is that they are inverse of the analysis methods: They will determine the best combination of advanced material and structural configuration based on the external environment and hence design the optimum wing for the given flight conditions.
My research approach is to represent the design problem as a set of mathematical functions and develop computational methods to find the optimum solution. The methods will therefore, find the optimum design for both materials and structural configuration at the same time. The outcome of this fellowship will provide engineers with a sophisticated tool to design complex aircraft structures. The tools will be developed and disseminated in a way that they can be used on a range of other complex engineering problems.
The UK has 17% of the global aerospace market share with revenue of £24 billion and is responsible for 3.6% national employment. With the international civil aerospace market forecast to grow to $4 trillion by 2030, the UK market has the opportunity to grow to $352 billion by 2030. It is critical that the UK develops this unique capability to ensure we maintain the market share of these high value products and processes and its economy has the opportunity for growth. Furthermore, the weight savings which will be made from optimum use of materials lead to meeting the emission targets, thus ensuring sustainable environment for the future generations.
In fact, there has been a significant level of development in computational analysis methods taking advantage of growing computational power. A prime example of this is the recent development in the computational modelling of materials. Using this technology, new advanced materials can be created in half the time that traditional material development takes and the return on investment in computational materials research has been estimated at between 300 - 900%.
This fellowship is at the heart of developing sophisticated computational methods to design aircraft configurations that have not been considered before. The majority of the current methods analyse how a given material or structure responds to the external environment such as in flight at speed Mach 0.8, 38000 ft. What is different about the methods in this research is that they are inverse of the analysis methods: They will determine the best combination of advanced material and structural configuration based on the external environment and hence design the optimum wing for the given flight conditions.
My research approach is to represent the design problem as a set of mathematical functions and develop computational methods to find the optimum solution. The methods will therefore, find the optimum design for both materials and structural configuration at the same time. The outcome of this fellowship will provide engineers with a sophisticated tool to design complex aircraft structures. The tools will be developed and disseminated in a way that they can be used on a range of other complex engineering problems.
The UK has 17% of the global aerospace market share with revenue of £24 billion and is responsible for 3.6% national employment. With the international civil aerospace market forecast to grow to $4 trillion by 2030, the UK market has the opportunity to grow to $352 billion by 2030. It is critical that the UK develops this unique capability to ensure we maintain the market share of these high value products and processes and its economy has the opportunity for growth. Furthermore, the weight savings which will be made from optimum use of materials lead to meeting the emission targets, thus ensuring sustainable environment for the future generations.
Planned Impact
(1) Industry and Economy
This research has a significant societal and economic impact for growth. The material industry in the UK has an annual turnover of around £197 billion and export values at £50 billion. Tailoring advanced materials for specific applications will lead to more high value products and processes which have strong potential to bring sustainable growth and high economic value to the UK. A variety of case studies have shown that the use of computational modelling and optimisation in materials and structural design reduced lead time to product by 50-80%. Taking this a step further to develop computational methods of simultaneously optimising both materials and structures will strengthen the UK as a global leader and enhance the national economy. Material innovation has been identified as particularly critical to the aerospace sector. The aerospace industry employs over 84100 (3.6% of national employment) with the revenue of £24 billion, 17% of the global market share, second only to the USA. The international civil aerospace industry is forecast to grow and to be worth approximately $4 trillion by 2030 and the UK has the opportunity to grow its market to $352 billion by 2030. The aerospace industry in the UK therefore, is said to have a "tremendous opportunities for growth" and is considered to be of strategic importance for the future of the UK economy. The unique capability to design revolutionary aircraft concepts will grow the national economy by creating jobs and ensuring a globally leading market position for the UK. In addition, the use of engineering optimisation to produce the lightest and the most efficient aircraft provides a route to minimise the overall fuel burn and contribute to the sustainable future.
(2) People and Society
Maintaining global leadership in high value products and process through materials and aerospace structures will attract manufacturing industry and increase the global market share, thus growing the UK economy. This will create more jobs and wealth which will ultimately benefit people and the society. In addition, the advanced materials and optimisation methods developed within this research will lead to the lightest aircraft and to low operating and through-life costs. With the increasing risks and uncertainties of fuel prices, this effort is critical in ensuring that future air travel remains affordable. The research also addresses the sustainability of air travel via low emissions through low fuel burn and optimising existing aircraft for re-use. This work will therefore benefit the environment and the future generations.
(3) Investigator and researchers
The potential of high impact scientific research in this fellowship provides an opportunity for myself and my researchers to become world leaders at the interface of materials and structures. This research integrates materials and structures which have traditionally been considered two distinct disciplines. Therefore the integrated expertise of materials and structures from a design perspective is rare and this unique expertise will firmly place me at the forefront of the state of the art and make my researchers distinctive and highly employable. The fellowship will lead to the identification of new research challenges and open up new opportunities to secure future funding from industry and funding bodies. Working closely with industrial partners provides a route for the researchers to make a direct impact in engineering industry and society.
This research has a significant societal and economic impact for growth. The material industry in the UK has an annual turnover of around £197 billion and export values at £50 billion. Tailoring advanced materials for specific applications will lead to more high value products and processes which have strong potential to bring sustainable growth and high economic value to the UK. A variety of case studies have shown that the use of computational modelling and optimisation in materials and structural design reduced lead time to product by 50-80%. Taking this a step further to develop computational methods of simultaneously optimising both materials and structures will strengthen the UK as a global leader and enhance the national economy. Material innovation has been identified as particularly critical to the aerospace sector. The aerospace industry employs over 84100 (3.6% of national employment) with the revenue of £24 billion, 17% of the global market share, second only to the USA. The international civil aerospace industry is forecast to grow and to be worth approximately $4 trillion by 2030 and the UK has the opportunity to grow its market to $352 billion by 2030. The aerospace industry in the UK therefore, is said to have a "tremendous opportunities for growth" and is considered to be of strategic importance for the future of the UK economy. The unique capability to design revolutionary aircraft concepts will grow the national economy by creating jobs and ensuring a globally leading market position for the UK. In addition, the use of engineering optimisation to produce the lightest and the most efficient aircraft provides a route to minimise the overall fuel burn and contribute to the sustainable future.
(2) People and Society
Maintaining global leadership in high value products and process through materials and aerospace structures will attract manufacturing industry and increase the global market share, thus growing the UK economy. This will create more jobs and wealth which will ultimately benefit people and the society. In addition, the advanced materials and optimisation methods developed within this research will lead to the lightest aircraft and to low operating and through-life costs. With the increasing risks and uncertainties of fuel prices, this effort is critical in ensuring that future air travel remains affordable. The research also addresses the sustainability of air travel via low emissions through low fuel burn and optimising existing aircraft for re-use. This work will therefore benefit the environment and the future generations.
(3) Investigator and researchers
The potential of high impact scientific research in this fellowship provides an opportunity for myself and my researchers to become world leaders at the interface of materials and structures. This research integrates materials and structures which have traditionally been considered two distinct disciplines. Therefore the integrated expertise of materials and structures from a design perspective is rare and this unique expertise will firmly place me at the forefront of the state of the art and make my researchers distinctive and highly employable. The fellowship will lead to the identification of new research challenges and open up new opportunities to secure future funding from industry and funding bodies. Working closely with industrial partners provides a route for the researchers to make a direct impact in engineering industry and society.
Organisations
- University of Bath (Lead Research Organisation)
- Additive flow (Collaboration)
- Stirling Dynamics (Collaboration)
- Rolls Royce Group Plc (Collaboration)
- Cardiff University (Collaboration)
- Stanford University (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- SpaceX (Collaboration)
- University of Bristol (Collaboration)
- National Aeronautics and Space Administration (NASA) (Collaboration)
- Technion - Israel Institute of Technology (Collaboration)
- Honda Research Institute Europe GmbH (Collaboration)
- Purdue University (Collaboration)
- Airbus Group (Collaboration)
- UNIVERSITY OF EXETER (Collaboration)
- Youngyiel Precision (Collaboration)
- US National High Magnetic Field Laboratory (Collaboration)
- Rutherford Appleton Laboratory (Collaboration)
- University of Texas at Austin (Collaboration)
- Engineering and Physical Sciences Research Council (EPSRC) (Collaboration)
- Raytheon Technologies Corporation (Collaboration)
- Northwestern University (Collaboration)
- University of California, San Diego (UCSD) (Collaboration)
- Boeing (Collaboration)
- Texas A&M University (Collaboration)
- Stirling Dynamics (United Kingdom) (Project Partner)
- National Aeronautics and Space Administration (Project Partner)
- Stanford University (Project Partner)
- Engineering and Physical Sciences Research Council (Project Partner)
- Airbus (United Kingdom) (Project Partner)
- University of California, San Diego (Fellow)
People |
ORCID iD |
Hyunsun Kim (Principal Investigator / Fellow) |
Publications
Neofytou A
(2020)
Level set topology optimization for design-dependent pressure loads using the reproducing kernel particle method
in Structural and Multidisciplinary Optimization
Picelli R
(2017)
Stress Minimization Using The Level Set Topology Optimization
Saha S
(2021)
Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering
in Computer Methods in Applied Mechanics and Engineering
Sivapuram R
(2016)
Simultaneous material and structural optimization by multiscale topology optimization
in Structural and Multidisciplinary Optimization
Townsend S
(2019)
Topology optimization of vibrational piezoelectric energy harvesters for structural health monitoring applications
in Journal of Intelligent Material Systems and Structures
Tran Q
(2022)
Level Set-Based Structural Optimization With Uniform Wall Thickness for Wire-Fed Metal Additive Manufacturing
in Journal of Mechanical Design
Description | We have created and verified a generalised formulation for multiscale optimisation that simultaneously design a microscopic structure and architected material. It has been discovered that for a simple load carrying functionality, multiscale structures are not beneficial and solid materials are optimum. There are classes of problems that multisale optima are beneficial (e.g. compliant mechanism) and the true multiscale optimum solution can be missed if optimization takes place in two levels (e.g. macroscopic topology optimization then material optimization). Therefore, tight coupling is important to determine the true optimum in multiscale optimization. |
Exploitation Route | The multiscale design framework can be used to design other types of materials. |
Sectors | Aerospace Defence and Marine Energy Transport |
URL | http://m2do.ucsd.edu |
Description | The research is beginning to have impact already in inspiring new research ideas and directions. I have been invited to present the research at the major national laboratories (Sandia and Lawrence Livermore) and I have also been invited to several ICME events aiming to shape and direct future research (e.g. AIAA ICME panelist, new AIAA ICME program committee and NASA 2040 ICME vision and road-mapping). I have been approached by NASA Glenn to initiate a discussion group (international) to collect the experts views from the optimization perspective. I have also started teaching multiscale topology optimization at the University. |
Sector | Aerospace, Defence and Marine |
Description | AIAA ICME working group |
Geographic Reach | North America |
Policy Influence Type | Contribution to new or Improved professional practice |
Description | Chair of Female Researchers Chapter of International Association of Computational Mechanics |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Membership of a guideline committee |
Impact | *Influenced training if practitioners or researches *Effective solutions to societal problems |
Description | Deputy Chair of AIAA MDO Technical Committee |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Membership of a guideline committee |
Description | Elected member of USACM executive council |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Membership of a guideline committee |
Description | Founding chair, Female Researchers Chapter, International Association of Computational Mechanics |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Influenced training of practitioners or researchers |
Impact | Visibility of women in the research community is increasing. |
Description | International Paper Committee Chair for WCSMO-14 |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Membership of a guideline committee |
Description | professional review panel on integrated multiscale materials and structures modeling and simulation in the aerospace community |
Geographic Reach | North America |
Policy Influence Type | Membership of a guideline committee |
Description | EOARD research |
Amount | $73,500 (USD) |
Organisation | European Office of Aerospace Research & Development (EOARD) |
Sector | Public |
Country | United Kingdom |
Start | 07/2015 |
End | 08/2016 |
Description | GW4 accelerator |
Amount | £68,000 (GBP) |
Organisation | GW4 |
Sector | Academic/University |
Country | United Kingdom |
Start | 11/2014 |
End | 04/2015 |
Description | GW4 initiator |
Amount | £12,000 (GBP) |
Organisation | GW4 |
Sector | Academic/University |
Country | United Kingdom |
Start | 05/2014 |
End | 08/2014 |
Description | Seed funding |
Amount | £52,000 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Department | Centre for Innovative Manufacturing in Additive Manufacturing |
Sector | Academic/University |
Country | United Kingdom |
Start | 07/2014 |
End | 03/2015 |
Description | AIRBUS OPERATIONS LIMITED |
Organisation | Airbus Group |
Department | Airbus Operations |
Country | United Kingdom |
Sector | Private |
PI Contribution | development of topology optimisation for aircraft design |
Collaborator Contribution | expertise in aircraft design and requirements |
Impact | Industrial CASE award, further research collaborations in composites and optimisation |
Start Year | 2008 |
Description | Additive flow |
Organisation | Additive flow |
Country | United Kingdom |
Sector | Private |
PI Contribution | Level set topology optimization for buckling and stiffened panels. |
Collaborator Contribution | Advanced design and production software for materials and geometry. https://www.additiveflow.com |
Impact | Multiphysics topology optimization software |
Start Year | 2019 |
Description | Akin Keskin - RR Thermomechanics |
Organisation | Rolls Royce Group Plc |
Country | United Kingdom |
Sector | Private |
PI Contribution | Level set topology optimization and coupling physics |
Collaborator Contribution | Expertise and physics tools for engine performance analysis and design |
Impact | Multidisciplinary - design optimization, structural mechanics, heat transfer |
Start Year | 2018 |
Description | Boeing |
Organisation | Boeing |
Country | United States |
Sector | Private |
PI Contribution | Topology Optimization for thermal structures |
Collaborator Contribution | IGA |
Impact | Follow up funding awarded |
Start Year | 2021 |
Description | Bret Stanford (Nasa Langley) |
Organisation | National Aeronautics and Space Administration (NASA) |
Department | NASA Langley Research Centre |
Country | United States |
Sector | Public |
PI Contribution | Level set topology optimization |
Collaborator Contribution | Expertise on aeroelasticity |
Impact | Journal Publications: Dunning PD, Stanford BK, Kim HA (2015) "Coupled aerostructural topology optimization using a level set method for 3D aircraft wings", Structural and Multidisciplinary Optimization, 51(5), 1111-1132, DOI: 10.1007/s00158-014-1200-1; Townsend S, Picelli R, Stanford B, Kim HA (2018) "Structural Optimization of Plate-Like Aircraft Wings under Flutter & Divergence Constraints", AIAA Journal, 56(8), 3307-3319; Conferences: Townsend S, Stanford B, Kambampati S, Kim HA (2018) "Aeroelastic Optimization of Wing Skin using a Level Set Method," AIAA Aviation, GA USA, June |
Start Year | 2017 |
Description | Brian Hoyle |
Organisation | University of Leeds |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Topology optimization |
Collaborator Contribution | Sensing, imaging and manufacturing |
Impact | Multidisciplinary, EPSRC platform grant application |
Start Year | 2015 |
Description | Cardiff GW4 |
Organisation | Cardiff University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Discrete optimization extending the concept of topology optimization |
Collaborator Contribution | Sensor and energy harvesting network design problem |
Impact | GW4 proposals |
Start Year | 2015 |
Description | Cardiff GW4 |
Organisation | University of Bristol |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Discrete optimization extending the concept of topology optimization |
Collaborator Contribution | Sensor and energy harvesting network design problem |
Impact | GW4 proposals |
Start Year | 2015 |
Description | Cardiff GW4 |
Organisation | University of Exeter |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Discrete optimization extending the concept of topology optimization |
Collaborator Contribution | Sensor and energy harvesting network design problem |
Impact | GW4 proposals |
Start Year | 2015 |
Description | Carol Featherstone ( Cardiff University) |
Organisation | Cardiff University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Level set topology optimization and coupling physics. |
Collaborator Contribution | Mechanics, materials and advanced manufacturing. |
Impact | Journal Publications: Kim HA, Featherston CA, Ussel J, Williams PA (2008) "Introducing a discrete modelling technique for buckling of continuous panels under combined loading", Structural and Multidisciplinary Optimization, 36(1), 3-13; Picelli R, Townsend S, McCrory J, Grigg S, Featherston C, Kim HA (2018) "Strain Control via Level Set Topology Optimization: An Energy Harvesting Application," 13th World Congress on Computational Mechanics, NY USA, July; Townsend S, Grigg S, Picelli R, Featherston C, Kim HA (2019) "Topology Optimization of Vibrational Piezoelectric Energy Harvesters for Structural Health Monitoring Applications," Journal of Intelligent Materials and Structures, 30(18-19), 2894-2907; Chu, S., Townsend S., Featherston, C. & Kim, H.A. (2021) "Simultaneous layout and topology optimization for curved stiffened panels," AIAA J, accepted |
Start Year | 2018 |
Description | Carolyn Seepersad (UT Austin) |
Organisation | University of Texas at Austin |
Country | United States |
Sector | Academic/University |
PI Contribution | New optimization method for generating multiple concept designs |
Collaborator Contribution | Design and machine learning |
Impact | Collaborative project from DARPA awarded |
Start Year | 2020 |
Description | Colins Aerospace |
Organisation | Raytheon Technologies Corporation |
Department | Collins Aerospace |
Country | United States |
Sector | Private |
PI Contribution | Level set topology optimization and multiphysics. |
Collaborator Contribution | Optimization test cases and multiphysics design problems. |
Impact | Journal Publications Hyun, J., Barazanchy, D., Pandher, J., Mitrovic, M., van Tooren, M., Kim H.A. (2021) Optimization of an induction heating tool for thermoplastic composites, Composites Part A, submitted New customized design for composite manufacturing |
Start Year | 2019 |
Description | Honda Research Institute Europe |
Organisation | Honda Research Institute Europe GmbH |
Country | Germany |
Sector | Private |
PI Contribution | Modularized Level Set Topology Optimization and Automatic sensitivity computation |
Collaborator Contribution | Design specifications for eVTOL |
Impact | In-house software for Honda, publication |
Start Year | 2021 |
Description | JPL |
Organisation | National Aeronautics and Space Administration (NASA) |
Department | Jet Propulsion Laboratory |
Country | United States |
Sector | Public |
PI Contribution | Topology Optimization for thermal structures |
Collaborator Contribution | Thermal structure design specification |
Impact | Follow up funding Further investment in topoloy optimization |
Start Year | 2020 |
Description | JS Chen (UC San Diego) |
Organisation | University of California, San Diego (UCSD) |
Country | United States |
Sector | Academic/University |
PI Contribution | Level set topology optimization for design dependent pressure loads |
Collaborator Contribution | Expertise on meshfree reproducing kernel particle method |
Impact | Journal Publications: Neofytou, A., Picelli, R., Huang, T. H., Chen, J. S., & Kim, H. A. (2021) "Level set topology optimization for design-dependent pressure loads using the reproducing kernel particle method". Structural and Multidisciplinary Optimization; Conference Papers: Neofytou A, Picelli R, Chen JS, Kim HA (2019) "Stress-based level set topology optimization for design-dependent pressure loads using a meshfree approach," 13th World congress on Structural and Multidisciplinary Optimization, Beijing, China, May; Neofytou A, Picelli R, Chen JS, Kim HA (2019) "Level Set Topology Optimization for Design Dependent Pressure Loads: A Comparison Between FEM and RKPM," AIAA Aviation, Dallas TX USA, Jun; Neofytou A, Picelli R, Chen JS, Kim HA (2019). "Level set topology optimization for design dependent hydrostatic loading using the reproducing kernel particle method," In Proceedings of the ASME 2019 International Design Engineering Technical Conferences. LA, USA, Aug |
Start Year | 2018 |
Description | Jinhye Bae (UCSD) |
Organisation | University of California, San Diego (UCSD) |
Country | United States |
Sector | Academic/University |
PI Contribution | Level set topology optimization for new material and additive manufacturing |
Collaborator Contribution | New chemistry and additive manufacturing method |
Impact | Topologically optimized metamaterial is being printed in a new additive manufacturing method |
Start Year | 2020 |
Description | Justin Gray - Topology Optimization in OpenMDAO |
Organisation | National Aeronautics and Space Administration (NASA) |
Country | United States |
Sector | Public |
PI Contribution | My team is contributing our expertise in topology optimization to this collaboration. |
Collaborator Contribution | NASA Glenn is contributing their expertise in MDO on their OpenMDAO platform and the associated tools. |
Impact | Publication and presentation at AIAA SciTech conference, USA. |
Start Year | 2017 |
Description | Karen Willcox (Oden Institute) |
Organisation | University of Texas at Austin |
Department | Oden Institue |
Country | United States |
Sector | Academic/University |
PI Contribution | Topology optimization for additive manufacturing |
Collaborator Contribution | Physics informed surrogate learning models |
Impact | Collaborative project from NASA awarded |
Start Year | 2020 |
Description | Karen Willcox (Oden Institute) |
Organisation | University of Texas at Austin |
Department | Oden Institue |
Country | United States |
Sector | Academic/University |
PI Contribution | Topology optimization for additive manufacturing |
Collaborator Contribution | Physics informed surrogate learning models |
Impact | Collaborative project from NASA awarded |
Start Year | 2020 |
Description | Karen Willcox (UT Austin) |
Organisation | University of Texas at Austin |
Country | United States |
Sector | Academic/University |
PI Contribution | Topology optimization |
Collaborator Contribution | Reduced order modeling |
Impact | Proposal |
Start Year | 2019 |
Description | Ken Loh (UC San Diego) |
Organisation | University of California, San Diego (UCSD) |
Country | United States |
Sector | Academic/University |
PI Contribution | Level set topology optimization, multiscale and coupling physics. |
Collaborator Contribution | Expertise on designing, characterizing and implementing multifunctional material systems. |
Impact | Invited to give a keynote, Design with Topology Optimization, ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS), Snowbird Utah, 2017 Publication |
Start Year | 2018 |
Description | Ken Museth (Weta/SpaceX) |
Organisation | SpaceX |
Country | United States |
Sector | Private |
PI Contribution | Large scale level set topology optimization and coupling physics. |
Collaborator Contribution | Expertise on OpenVDB. |
Impact | Journal Publications: Kambampati, S., Jauregui, C., Museth, K., Kim, H. A. (2020) "Large-scale level set topology optimization for elasticity and heat conduction," Structural and Multidisciplinary Optimization, 61(1), 19-38; Kambampati S., Jauregui C., Museth K. and Kim H. A. (2020) "Geometry Design Using Function Representation on a Sparse Hierarchical Data Structure", Computer-Aided Design, 102989; Kambampati S, Jauregui C, Museth K, Kim HA (2018) "Fast Level Set Topology Optimization Using a Hierarchical Data Structure," AIAA Aviation, GA USA, June; Implemented in Additive Flow software (SME), being considered for software implementations in NASA, Boeing, PARC and AltAir Conferences: Kambampati S, Jauregui C, Museth K, Kim HA (2018) "Fast Level Set Topology Optimization Using a Hierarchical Data Structure," 13th World Congress on Computational Mechanics, NY USA, July |
Start Year | 2017 |
Description | LANL Antenna |
Organisation | US National High Magnetic Field Laboratory |
Country | United States |
Sector | Public |
PI Contribution | Developing a topology optimisation methodology to realise the full potential of superluminal, accelerated, polarisation currents in dielectrics antenna |
Collaborator Contribution | invention of superluminal, accelerated, polarisation currents in dielectrics antenna |
Impact | Multi-disciplinary: Physics |
Start Year | 2015 |
Description | NASA Composites |
Organisation | National Aeronautics and Space Administration (NASA) |
Department | NASA Langley Research Centre |
Country | United States |
Sector | Public |
PI Contribution | Level set composite fibre path optimization |
Collaborator Contribution | tow steered fibre composite manufacturing expertise |
Impact | fibre path optimization, journal and conference papers, best paper award |
Start Year | 2015 |
Description | NASA aeroelasticity |
Organisation | National Aeronautics and Space Administration (NASA) |
Department | NASA Langley Research Centre |
Country | United States |
Sector | Public |
PI Contribution | Topology optimisation for aeroelassticity |
Collaborator Contribution | Expertise in aeroelasticity and the research application, common research model |
Impact | Further collaboration in advanced fibre composites |
Start Year | 2015 |
Description | Nicholas Boechler (UCSD) |
Organisation | University of California, San Diego (UCSD) |
Country | United States |
Sector | Academic/University |
PI Contribution | Level set topology optimization for nonlinear metamaterial |
Collaborator Contribution | Nonlinear mechanics of metamaterial |
Impact | Journal Publications: Behrou, R., Abi Ghanem, M., Macnider, B., Verma, V., Alvey, A., Hong, J., Emery, A. F., Kim, H. A., & Boechler, N., (2021) "Topology optimization of nonlinear periodically microstructured materials for tailored homogenized constitutive properties", accepted |
Start Year | 2020 |
Description | Nick Boechler |
Organisation | University of California, San Diego (UCSD) |
Country | United States |
Sector | Academic/University |
PI Contribution | Topology optimization for nonlinear dynamic meta material |
Collaborator Contribution | Physical insight and manufacturing of nonlinear dynamic meta material |
Impact | Extramural funding and publications |
Start Year | 2018 |
Description | Nottingham |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Department | Centre for Innovative Manufacturing in Additive Manufacturing |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | topology optimization method |
Collaborator Contribution | additive manufacturing expertise |
Impact | topology optimization for additive manufacturing |
Start Year | 2015 |
Description | Oded Amir, Technion University |
Organisation | Technion - Israel Institute of Technology |
Country | Israel |
Sector | Academic/University |
PI Contribution | Level set topology optimization |
Collaborator Contribution | Nonlinear thermoelasticity |
Impact | Published works: Chung, H., Amir, O., Kim, H. A. (2020) "Level-set topology optimization considering nonlinear thermoelasticity," Computer Methods in Applied Mechanics and Engineering, 361, 112735; Chung H, Amir O, Kim HA (2019) "Nonlinear Thermoelastic Topology Optimization with Level-Set Method," AIAA SciTech, CA USA, Jan; Conferences Kambampati S, Li L, Amir O, Kim HA (2019) "Efficient Large-Scale Level Set Topology Optimization Using Reanalysis Concepts," 13th World congress on Structural and Multidisciplinary Optimization, Beijing, China, May; 121. |
Start Year | 2017 |
Description | Pete Theobald (Cardiff University) |
Organisation | Cardiff University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Level set topology optimization |
Collaborator Contribution | Expertise on energy absorbing materials and additive manufacturing. |
Impact | Several designs have been manufactured, which validate the predicted behavior. |
Start Year | 2018 |
Description | RAL |
Organisation | Rutherford Appleton Laboratory |
Department | Numerical Analysis Group |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Topology optimization for buckling |
Collaborator Contribution | Eigenvalue analysis solver |
Impact | Topology optimization for buckling, journal paper |
Start Year | 2015 |
Description | Richard Malak (Texas A&M University) |
Organisation | Texas A&M University |
Country | United States |
Sector | Academic/University |
PI Contribution | Topology optimization with multiple material. |
Collaborator Contribution | Metal alloy phase stability behaviour. |
Impact | Student training. |
Start Year | 2019 |
Description | Stanford |
Organisation | Stanford University |
Country | United States |
Sector | Academic/University |
PI Contribution | Topology optimization method |
Collaborator Contribution | Expertise in opensource software |
Impact | Currently working on developing the code towards open source publication |
Start Year | 2015 |
Description | Stirling |
Organisation | Stirling Dynamics |
Country | United Kingdom |
Sector | Private |
PI Contribution | Aeroelastic topology optimization |
Collaborator Contribution | Expertise in loads for aircraft design |
Impact | Aeroelastic wing optimization |
Start Year | 2015 |
Description | UCSD |
Organisation | University of California, San Diego (UCSD) |
Department | Department of Structural Engineering |
Country | United States |
Sector | Academic/University |
PI Contribution | Level set topology optimization |
Collaborator Contribution | meshfree and isogeometric analysis |
Impact | Working on developing new topology optimization methods |
Start Year | 2016 |
Description | Wenbin Yu - Multiscale using structural genome |
Organisation | Purdue University |
Country | United States |
Sector | Academic/University |
PI Contribution | Multiscale topology optimization |
Collaborator Contribution | Structural genome and multiscale modeling |
Impact | It is multidisciplinary bringing together optimization with multiscale mechanics and composites. A journal paper and a conference paper. Our journal paper was the most downloaded paper of CMAME in the last 90 days. |
Start Year | 2017 |
Description | Wing Kam Liu (Northwestern) |
Organisation | Northwestern University |
Country | United States |
Sector | Academic/University |
PI Contribution | New structural analysis method informed by deep learning for rapid design |
Collaborator Contribution | Computational mechanics |
Impact | Journal Publications: Saha, S., Gan, Z., Cheng, L., Gao, J., Kafka, O. L., Xie, X., Li, H., Tajdari, M., Kim. H. A. & Liu, W. K. (2021), "Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering". Computer Methods in Applied Mechanics and Engineering, 373, 113452 |
Start Year | 2020 |
Description | Youngyiel Precision |
Organisation | Youngyiel Precision |
Country | Korea, Republic of |
Sector | Private |
PI Contribution | Optimization |
Collaborator Contribution | Nanomaterials and processing |
Impact | Modelling used to design their nanomaterial processing. They developed a new numerical simulation model and consequently new composite material Insights to optimal shapes for nanoparticles |
Start Year | 2019 |
Description | AFRL 2015 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Raising awareness of the latest capabilities, and has led to two collaboration areas with potential funding. |
Year(s) Of Engagement Activity | 2015 |
Description | CEER INTENSE Short Course |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | The Center for Extreme Events Research (CEER) at UCSD will offer Interdisciplinary Training and Networking in Engineering and Next Generation in Simulation and Experimentation (INTENSE) short course on "Topology optimization for additive manufacturing" Most significant outcome/impact: Education and dissemination |
Year(s) Of Engagement Activity | 2019 |
Description | CIRA Ansys workshop 2015 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | The follow-up discussions revealed that the presented material was new to them and I raised awareness of this new area that made them think about the future in a new way. |
Year(s) Of Engagement Activity | 2015 |
Description | Distinguished Seminar Series Talk at the University of Utah |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Talk entitled "Multiscale Multiphysics Design Optimization (M2DO) via Level Set Topology Optimization" at the Department of Mechanical Engineering at the University of Utah Most significant outcome/Impact: - Raising aware of our research to a wider community. - Education and dissemination |
Year(s) Of Engagement Activity | 2019 |
Description | ICME panel, Scitech 2015 |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | It inspired many interesting questions and discussions for the future research and development directions for ICME |
Year(s) Of Engagement Activity | 2015 |
Description | Invited presentation at Isaac Newton Institute Workshop on New trends and challenges in the mathematics of optimal design |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other audiences |
Results and Impact | Presentation on the state of the art topology optimization and their implications to mathematics community. Most significant outcome/impact: Research dissemination to a wider scientific community. |
Year(s) Of Engagement Activity | 2019 |
Description | Invited presentation in Mini-symposium on Topology Optimization at SIAM Conference on Computational Science and Engineering |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Presentation on the state of the art topology optimization and their implications to mathematics community. Most significant outcome/impact: Research dissemination to a wider scientific community. |
Year(s) Of Engagement Activity | 2019 |
Description | Keynote, Design with Topology Optimization, ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Presentation on the state of the art topology optimization and their implications to design of smart and adaptive material and structural design. Most significant outcome/impact: Research dissemination to a wider scientific community. |
Year(s) Of Engagement Activity | 2017 |
Description | Lindbergh Lecture Series Talk at the UW-Madison |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Lindbergh Lecture Series Talk entitled "Topology Optimization for Additive Manufacturing: Multiscale and Multiphysics Design Optimization (M2DO)" at the Department of Mechanical Engineering at UW-madison. Most significant outcome/impact: -Raising aware of our research to a wider community. -Education and dissemination |
Year(s) Of Engagement Activity | 2019 |
Description | MEM Winter Seminar Series at the Drexel University |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Other audiences |
Results and Impact | Seminar talk entitled "Multiscale Multiphysics Topology Optimization (M2DO)" for MEM Winter Seminar Series in the Department of Mechanical Engineering and Mechanics at the Drexel University. Most significant outcome/impact: -Raising aware of our research to a wider community -Education and dissemination |
Year(s) Of Engagement Activity | 2019 |
Description | National Academy of Illustrating Math Webinar: Revolutionizing Manufacturing Through Mathematics |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | The purpose is to promote mathematics by demonstrating its application in enabling the state of the art engineering, the audience included professionals and engineers as well as school teachers and educators. Most significant outcome/impact: -Outreach to a wide range of audience |
Year(s) Of Engagement Activity | 2020 |
Description | Plenary MEET paris 2015 |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | It raised several questions and discussions about how they might be able to use in their future research and design projects. |
Year(s) Of Engagement Activity | 2015 |
Description | Plenary RR ADOS 2015 |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | It inspired new future research directions which led to specific discussions for research collaboration and also my presentation was requested by several industrialists for their internal communications. This subsequently led to an ATI proposal. |
Year(s) Of Engagement Activity | 2015 |
Description | REACT and UC Southern hub Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | The University of California San Diego and Los Alamos National Laboratory are organizing a joint-workshop on computational mechanics and sciences. This is an inclusive workshop with the aim to promote diversity Most significant outcome/impact: -Raising profile of women researchers in computational mechanics and networking enabling multidisciplinary collaboration |
Year(s) Of Engagement Activity | 2021 |
Description | SIAM plenary, Salt Lake City |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | It inspired new research interests in the SIAM geometric modeling community. DARPA program manager is formulating a new program inspired by the research. |
Year(s) Of Engagement Activity | 2015 |
Description | Sandia National Lab visit |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Following the seminar, it was a full day of discussion with several researchers on what would be possible to achieve in their research and how optimization research can influence their research and potential collaborations. It raised awareness of the capabilities that influenced their future research and development policy. This led to plans for collaboration and an invite to a focused roundtable workshop. |
Year(s) Of Engagement Activity | 2015 |
Description | Seminar and short course for Boeing |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | The intended purpose was to present the latest results in multiscale topology optimziaton, sparked discussions on potential in discovering new nonlinear metamaterial, led to collaboration in utilizing my topology optimization method in their research Most significant outcome/impact: -New research collaboration, Boring research and development team implementing our level set topology optimization in their in-house tools, new research proposal awarded to integrate level set topology optimization with IGA |
Year(s) Of Engagement Activity | 2020 |
Description | Seminar at Los Alamos National Laboratory |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | The intended purpose was to present the latest results in multiscale topology optimiziaton, sparked discussions on potential in discovering new nonlinear metamaterial, led to collaboration in utilizing my topology optimization method in their research Most significant outcome/impact: -New research collaboration, LANL researchers using our level set topology optimization, new research proposal |
Year(s) Of Engagement Activity | 2020 |
Description | Seminar at Write-Patterson Air Force Research Laboratory |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | The intended purpose was to present the latest results in multiscale topology optimziaton, sparked discussions on potential in discovering new nonlinear metamaterial, led to collaboration in utilizing my topology optimization method in their research Most significant outcome/impact: -New research collaboration, new research proposal |
Year(s) Of Engagement Activity | 2020 |
Description | Seminars at Australian Defense Science and Technology and Boeing Australia |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Professional Practitioners |
Results and Impact | Seminars entitled "Multiscale and Multiphysics Topology Optimization for Aerospace Engineering" at Australian Defense Science and Technology and Boeing Australia in Melbourne Most significant outcome/impact: -Dissemination of state of the art topology optimization capabilitiies. -Education and dissemination |
Year(s) Of Engagement Activity | 2019 |
Description | Seminars at universities |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Seminars given to raise awareness of the latest state of the art. Some subsequently led to collaborative proposals and research. They are given at the following universities: Hanyang University, Korea; Bringham Young University, USA; University of Colorado, Boulder, USA; Politecnico di Torino, Turin, Italy; University of West England, Bristol, UK. |
Year(s) Of Engagement Activity | 2015 |
Description | Short Course, Scitech: Additive Manufacturing: Structural and Material Optimization, 2019 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Training for professionals and practitioners on the basics as well as the state of the art in topology optimization and additive manufacturing; Training in our open source software for wider dissemination of the research outcome. Topology optimization is better understood and used more correctly in practice |
Year(s) Of Engagement Activity | 2019 |
Description | Short Course, Scitech: Additive Manufacturing: Structural and Material Optimization, 2020 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Around 15 people attended this short course held during the AIAA SciTech conference which is usually attended by 5000 participants internationally, the intended purpose is to educate and disseminate topology optimization in the context of additive manufatcuring, sparked questions and discussions on the state of the art and the application Most significant outcome: Education and dissemination to engineering professionals and researchers |
Year(s) Of Engagement Activity | 2019,2020 |
Description | Topology Optimization Roundtable |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Talk entitled "Multiscale Multiphysics Topology Optimization (M2DO)" for Topology Optimization Roundtable. The annual Topology Optimization Roundtable was initiated by Sandia National Laboratories in 2016 to bring together researchers and practicing engineers working in the area of topology optimization. Most significant outcome/impact: -Raising aware of our research to a wider community. -Education and dissemination |
Year(s) Of Engagement Activity | 2019 |
Description | UCSD Structural Engineering Research Showcase |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | The Department of Structural Engineering (SE) Research Showcase Day was successfully held on February 15, 2019, in the Ida & Cecil Green Faculty Club, Atkinson Pavilion at UC San Diego. The M2DO lab has presented on three topics in this event: -Large scale level set topology optimization using OpenVDB and PETSc. -Optimization of thermal structures: linear and nonlinear -Design of the optimum structures with tailored material for additive manufacturing Most significant outcome: -A wider community of engineers and professionals became more aware of the new research state of the art. -Education and dissemination to engineering professionals and researchers |
Year(s) Of Engagement Activity | 2019 |