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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

10 25 50
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Aliyu A (2023) Additive manufacturing of tantalum scaffolds: Processing, microstructure and process-induced defects in International Journal of Refractory Metals and Hard Materials

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Daungwilailuk T (2022) Use of barite concrete for radiation shielding against gamma-rays and neutrons in Construction and Building Materials

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