Knowledge reuse for decision aid in additive manufacturing: application on cost quotation support

Abstract

The expeditiously growing interest in Additive Manufacturing (AM) in various domains and applications leads to different challenges in terms of management and optimisation. These issues are due to the vast amount and type variety of data and knowledge generated across the AM value chain. Therefore, it becomes essential to deliver useful help to support information management and critical decisions along the AM product realisation. This paper proposes a knowledge-based Framework for traceability and decision aid in AM processes. The proposed solution is applied in a critical phase concerning process generation and cost estimation at the beginning of AM project. A software demonstrator is deployed in a real industrial case study: Heat Exchanger for Aircraft.

KEYWORDS:

• Knowledge-based
• decision-aid
• additive manufacturing
• cost quotation
• ontology

Acknowledgements

The presented results were conducted within the French national project ‘SOFIA’ (SOlution pour la Fabrication Industrielle Additive métallique). The authors would like to thank all industrial and academic partners for their involvement in this research.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available on request from the corresponding author, [QJ]. The data are not publicly available due to confidentiality restrictions applied by the industrial partner.

Notes

1 https://www.w3.org/TR/owl2-overview/, last accessed December 2021.

2 https://protege.stanford.edu/, last accessed December 2021.

3 https://www.w3.org/Submission/SWRL/, last accessed December 2021.

4 In the original word file the equation was separated from the figure ! However i have added a better resolution figure in the attached. However, It is okay for us to keep the equation along with the figure.

5 https://jena.apache.org/, last accessed December 2021.

Additional information

Funding

This project has received support from the National Centre for Scientific Research (CNRS).

Notes on contributors

Qussay Jarrar

Dr Qussay Jarrar has obtained, recently, his Ph.D. in Industrial Engineering at the Ecole Central of Nantes (at LS2N: Laboratory of Digital Sciences of Nantes, CPS3 team). He received his master’s degree in Enterprise Engineering in 2018 from the University of Bordeaux, France. He was involved in SOFIA project (Solution for industrial additive manufacturing), where he was responsible of the improvement of the value chain of metal Additive Manufacturing. He is specialised in knowledge management for the development of decision support systems.

Farouk Belkadi

Mr. Belkadi Farouk (Dr. Eng. HDR) obtained his Ph.D. in automation and industrial engineering from the University of Franche Comté in 2006. He worked as a non-permanent researcher for five years at the University of Technology of Compiègne (UTC). Since 2013, he is engaged as a lecturer at Ecole Centrale de Nantes (ECN) in industrial engineering. He is responsible of the master 1 industrial engineering and its M2 track – SCE (Smart and Connected Enterprise). In 2022, he defended his habilitation to direct research on the theme of data & knowledge integration for decision support in the context of enterprise of the future. His main scientific interests are knowledge engineering for decision-making, industry 4.0, information systems within the PLM approach, systems engineering, and the new paradigms of socio-economic and environmental sustainability. During his career, he has contributed to the realisation and scientific coordination of 13 collaborative research projects including 4 European projects and 2 ANR. His scientific results are published in more than 36 international journals, 67 international conferences, and 30 national journals and seminars. Link to my google scholar: https://scholar.google.fr/citations?user=NTzBz_wAAAAJ&hl=fr. Link to my ResearchGate: https://www.researchgate.net/profile/Farouk-Belkadi.

Remy Blanc

Mr. Blanc Rémy has obtained his Engineering degree in industrial engineering in 2017, specialising in product design. At the end of 2017, he joined MMB Volum-e, a company that is specialising in rapid prototyping and additive manufacturing. He started as Metal Additive Manufacturing Application Engineer in 2019 he was promoted as Design Office Manager and developed his knowledge in AM plastic technologies (SLA & SLS).

Kenan Kestaneci

Mr. Kenan Kestaneci obtained his master’s degree in Industrial Engineering & Smart and Connected Enterprise, from Ecole Centrale de Nantes in 2021. He worked on contract for six months in Centre National de la Recherche (CNRS) in France as a software developer in project SOFIA after the obtention of his diploma. Since April 2022, he has been working as a software developer at Sopra Steria-Energie Toulouse in the energy sector.

Alain Bernard

Emeritus Prof. A. Bernard, graduated in 82, Ph.D. in 89, was associate-Professor, from 90 to 96 in Centrale Paris. From Sept. 96 to Oct. 01, he was Professor in CRAN, Nancy I, and led the ‘Integrated Design and Manufacturing’ team. Since Oct. 01, he has been Professor at Centrale Nantes and Dean for Research from 07 to 12. He is a researcher in the LS2N laboratory (UMR CNRS 6004), a former head of the ‘Systems Engineering-Products-Processes-Performances’ team. His research topics are KM, PLM, information system modelling, enterprise modelling, systems performance assessment, virtual engineering, and additive manufacturing. He supervised more than 40 Ph.D. students. He published more than 150 papers in refereed international journals and books. He is vice-President of France Additive (French Association on Additive Manufacturing) since 1993, vice-chairman of WG5.1 of IFIP (Global Product Development for the whole product lifecycle), and a fellow member of CIRP. In 2018, he has been elected a Fellow member of the Academy of Technologies of France.