From Industry 3.0 to Industry 4.0: Additive Manufacturability
Lead Research Organisation:
University of Leicester
Department Name: Engineering
Abstract
Digital manufacturing is aligned well with the UK Industrial Strategy to become a more innovative-based economy and to support for commercialisation. Additive manufacturing (AM) - an upcoming and disruptive digital technology - is tractable for a wide range of applications ranging from biomedical to aerospace industrial sectors. With the technological benefits of manufacturing flexibility, consecutively adding material layer-by-layer enables sophisticated and complex parts to be additively manufactured with minimal waste, created timely and cost effectively. However, investment in basic scientific understanding of the AM process plays a major role in the successful adoption of the metallic AM in aerospace and biomedical applications. This will help the UK develop technical-level skills and trained people to progressing technologies from laboratory to commercial success. The project, therefore, fits the need of this priority area. The work concerns about the simulation of solid-liquid-vapour transition and relevant thermal fluid mechanics at the AM technological applications. The aim is to use computational modelling to design AM alloys and improve the AM processing through the optimisation of chemical constituents and process conditions, which will be backed up with through-process testings. Non-equilibrium databases for thermo-physical properties will be obtained for establishing processing-structure-property-performance relationship using theory, experiments and computation under the framework of integrated computational materials science. A science-based AM design rule is derived to maximise the use of raw materials with zero-waste and recyclable fashion, and to ensure the integrity of additive manufactured components for repair technology in aerospace usages. It is also anticipated that the effective use of AM technology in aerospace sector especially for repair and manufacturing purposes will lead to disruptive innovation in other innovative technologies such as medical applications.
Planned Impact
This proposed research programme will help UK to maintain its leadership in the field of Digital Manufacturing priority area, especially additive manufacturing (AM) by contributing new knowledge into this research area. The simulation-based engineering science tool generated from this research programme will impact the AM research and development to construct an approach to novel alloy design rule and better innovative process for repair application. The research programme will also have a disruptive impact on economy, environment and society to support the Industry 4.0 in the upcoming digital age. Academic-industry collaborative venture with Rolls-Royce plc will be maintained to ensure that the research outcome from this programme influences the AM manufacturing practice within the company, especially in repair technology. The EPSRC UKRI Innovation Fellowship will provide an opportunity to develop Dr Chinnapat Panwisawas' career path and research group with the strong link to industries. The trained researcher will obtain a better understanding of AM process modelling to be beneficial for alloy design and advanced processing science. The research impact of AM technology in the area of Digital Manufacturing will be achieved by implementing research and development programme in designing novel process and better-performing superalloys. The UK innovation-based economy will then foster the research knowledge into industrial content thoroughly to improve productivity and drive into a more innovative economy. This is to support for commercialisation and future opportunities.
Publications
Aliyu A
(2023)
Additive manufacturing of tantalum scaffolds: Processing, microstructure and process-induced defects
in International Journal of Refractory Metals and Hard Materials
Aliyu A
(2022)
A new toxic-free Ti40Zr10Co36Pd14 metallic glass with good biocompatibility and surface behaviour comparable to Ti-6Al-4V
in Materials & Design
Aliyu A
(2023)
Laser-based additive manufacturing of bulk metallic glasses: recent advances and future perspectives for biomedical applications
in Journal of Materials Research and Technology
Dai G
(2023)
Gradient microstructure and strength-ductility synergy improvement of 2319 aluminum alloys by hybrid additive manufacturing
in Journal of Alloys and Compounds
Dai G
(2023)
Grain refinement and columnar-to-equiaxed transition of Ti6Al4V during additive manufacturing via different laser oscillations
in International Journal of Machine Tools and Manufacture
Daungwilailuk T
(2022)
Use of barite concrete for radiation shielding against gamma-rays and neutrons
in Construction and Building Materials
Fuyang C
(2022)
A physics-based life prediction model of HP40Nb heat-resistant alloy in a coupled creep-carburisation environment
in Materials Science and Engineering: A
Hajra R
(2023)
High-temperature phase stability and phase transformations of Niobium-Chromium Laves phase: Experimental and first-principles calculation studies
in Materials & Design
Jamshidi P
(2022)
Development, characterisation, and modelling of processability of nitinol stents using laser powder bed fusion
in Journal of Alloys and Compounds
Lu Z
(2023)
Real-time prediction and adaptive adjustment of continuous casting based on deep learning
in Communications Engineering
Related Projects
| Project Reference | Relationship | Related To | Start | End | Award Value |
|---|---|---|---|---|---|
| EP/S000828/1 | 28/06/2018 | 01/01/2020 | £388,202 | ||
| EP/S000828/2 | Transfer | EP/S000828/1 | 01/01/2021 | 27/06/2022 | £212,917 |
| Description | The UKRI Innovation (Early Career) Fellowship EP/S000828/2 entitled "From Industry 3.0 to Industry 4.0: Additive Manufacturability" has been transferred to University of Leicester on 1 January 2021 after University of Oxford (EP/S000828/1). The work developed in this fellowship impacts the research in computational materials science in metal additive manufacturing using newly developed high-fidelity modelling approach for laser powder-bed fusion additive manufacturing (AM) and direct energy deposition, which has been published in Additive Manufacturing, Acta Materialia, for example. The impact of the work has made successful of further fundings of Newton Fund-Royal Academy of Engineering (RAEng) Industry Academia Partnership Programme - Thailand (IAAP1/100163) and Transforming Systems through Partnership - Thailand 2020/21 (TSP2021\100052 and TSP2021\100366) to investigate metal AM for alloy-process design and fabrication of medical implants using low-modulus materials for biomedical applications. |
| Exploitation Route | The modelling framework proposed as a result of the fellowship is further developed by other research groups in China, USA and UK. For example, the high-fidelity modelling framework has been further developed into reduced-order model, machine learning based model and digital twin for metal additive manufacturing by Professor Bahram Ravani's research group at University of California Davis. Also, the outcomes of this funding impacts the visiting appointments to formally collaborate with Chulalongkorn University (Thailand), Shanghai Jiao tong University (China) and University of California Davis (USA). |
| Sectors | Aerospace Defence and Marine Digital/Communication/Information Technologies (including Software) Energy Manufacturing including Industrial Biotechology Transport |
| URL | https://scholar.google.co.th/citations?user=RVlMGuQAAAAJ&hl=en |
| Description | The finding from the fellowship award contributes to many outreach lectures and seminars to educate students and researchers in different fields to better understand the importance of the additive manufacturing and digital technology for aerospace, energy and biomedical applications. The findings from the work lead to some outreach activities for Newton Fund-Royal Academy of Engineering (RAEng) Industry Academia Partnership Programme - Thailand (IAAP1/100163) and Transforming Systems through Partnership - Thailand 2020/21 (TSP2021\100052 and TSP2021\100366) to impact metal AM for alloy-process design and fabrication of medical implants using low-modulus materials for biomedical applications. Moreover, the fellowship has led to a Royal Society International Exchanges on "Design by additive manufacturing of Innovative nanocomposites for biomedical application," collaboration with National University of Singapore (IES\R3\223167) |
| First Year Of Impact | 2018 |
| Sector | Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Healthcare,Manufacturing, including Industrial Biotechology,Transport |
| Impact Types | Societal |
| Description | Thai-UK World-class University Consortium: Drone Research and Training Center for Smart City |
| Amount | £9,500 (GBP) |
| Organisation | British Council |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 12/2022 |
| Description | Transforming Systems through Partnership - Thailand 2020-2021: Digital Materials Design and Additive Manufacturing for helping patients on bespoke 3D-printed implants |
| Amount | £89,964 (GBP) |
| Funding ID | TSP2021\100366 |
| Organisation | Royal Academy of Engineering |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2021 |
| End | 04/2023 |
| Description | Transforming Systems through Partnership - Thailand 2020-2021: Novel titanium alloys for biomedical application |
| Amount | £110,510 (GBP) |
| Funding ID | TSP2021\100052 |
| Organisation | Royal Academy of Engineering |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2021 |
| End | 04/2023 |
| Title | High-fidelity modelling of coupled powder and thermal-solutal-fluid flow dynamics |
| Description | The coupled powder and thermal-solutal-fluid flow dynamics model was developed to simulate chemical species mixing, solute profile, and thermal-fluid characteristics to elucidate the dissimilar mixture of metals and provide insights into the manufacturability of the refractory metals using direct energy deposition (DED) - one of additive manufacturing technologies where the metal powder is laser-melted by the nozzle and then deposited onto the metal substrate layer-by-layer. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | DED allows dissimilar metals to be fabricated in order to produce high-performance and intricate parts, and to utilise as a repair method of different metals as well. Chemical species mixing of the joint interface such as titanium and refractory metals - high-density, high-melting point materials - used for repair as a thermal shielding of titanium for high-temperature or biomedical applications are critical to understand the transport of species, heat and mass during the DED process and hence manufacturability of the refractory metals using the DED model. |
| URL | https://doi.org/10.1016/j.addma.2022.102654 |
| Description | Collaboration with University of Sheffield under the EPSRC grant EP/S032169/1: Novel Brazing Filler Metals using High Entropy Alloys |
| Organisation | University of Sheffield |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Under the collaboration with the EPSRC project EP/S032169/1: Novel Brazing Filler Metals using High Entropy Alloys led by Professor Russell Goodall at University of Sheffield, I have joined to lead some research activity on modelling of high entropy alloys for brazing. My contribution has been focused on the development of computational fluid dynamics (CFD) technique to simulate the evolution of liquid-solid interface of some filler metals during brazing. I have co-supervised a postdoctoral researcher named Dr Bogdan Nenchev at University of Leicester on the CFD modelling aspect. |
| Collaborator Contribution | The collaboration provides a wide spectrum of applications of computational alloy design method for discovering some new high entropy alloys for brazing. The concept of computational alloy design can be adopted to my research project where new alloys are required for better additive manufacturability. |
| Impact | The outcomes from this collaboration are (i) new efficient and accurate models to simulate the thermal profile evolution and elemental diffusion during brazing, and (ii) training of future research leaders, such as Dr Bogdan Nenchev, who I have co-supervised together with Professor Hongbiao Dong. |
| Start Year | 2020 |
| Description | OxMet Technologies - Industrial collaborator |
| Organisation | OxMet Technologies |
| Sector | Private |
| PI Contribution | Computer simulation of thermal fluid dynamics during additive manufacturing (AM) of two novel nickel-based superalloys developed by OxMet Technologies has been built in order to predict and rationalise the additive manufacturabiltiy of the new grade of nickel-based superalloys for aerospace application. Thermophysical property of those novel AM alloys has been calculated and used for computational fluid dynamics calculations. |
| Collaborator Contribution | Validation study of the powder-bed fusion additive manufacture of two new nickel-based superalloys has been provided by OxMet Technologies to back up mathematical model. The comparison work has paved the way to develop some new AM alloys which are additive manufacturable. |
| Impact | The thermophysical properties for new grade AM alloys has been delivered to use for thermal fluid flow calculation. The outcomes from the collaborative work can be exploited in indicating the optimum process conditions and probably alloy chemistry for improving the AM alloy performance. |
| Start Year | 2018 |
| Description | Rolls-Royce plc - Industrial collaborator |
| Organisation | Rolls Royce Group Plc |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Computational modelling developed by my research has been utilised by Process Modelling Group in Rolls-Royce plc, Derby. This has been in order to optimise the process conditions for most technological advances of manufacturing processes for aerospace applications. These include investment casting for jet engine turbine blades, powder metallurgy for jet engine discs and additive manufacturing in advanced materials for aerospace sector. |
| Collaborator Contribution | The industrial partner, Rolls-Royce plc, has been constantly provided the materials needed for research especially for validation of the mathematical modelling developed by my research. |
| Impact | The outputs have included more than 20 peer-reviewed journal articles which co-authored with Rolls-Royce plc. Moreover, one of the most significant outcomes has been the five beamline proposals, which I have been a co-principal investigator with Rolls-Royce plc, at ISIS, Neutron Facility at Rutherford Appleton Laboratory, Harwell. This has been to solve the industry problems using the advanced characterisation techniques. |
| Start Year | 2009 |
