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The International Journal of Advanced Manufacturing Technology

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27-09-2023 | Original Article

Evaluation of a decision-support tool for part orientation in EBM additive manufacturing

Authors: El- Haddi Mechekour, Frédéric Vignat, Christelle Grandvallet, Franck Pourroy, Philippe René Marin, Jérôme Pailhes, Mouhamadou Mansour Mbow, Guy Prudhomme

Published in: The International Journal of Advanced Manufacturing Technology | Issue 2/2024

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Abstract

The activity of part orientation is of crucial importance in terms of impact on the quality of parts in powder bed additive manufacturing. To support the decision-making of computer aided manufacturing (CAM) operators, several knowledge and software models are proposed. Even if they seem to help operators in orientation process, their operational effectiveness still needs to be scientifically assessed. This paper proposes to evaluate the efficiency of a part orientation software in assisting CAM engineers in part orientation choice. The related software is based on the mathematization of action rules issued from a knowledge model. The knowledge involved in carrying out the orientation activity is analyzed based on the users’ expertise. To do this, an empirical approach based on a case study is made with participants of different levels of skills. Several design scenarios including various part typologies to be oriented are submitted to engineers, before their manufacturing with electron beam melting (EBM) technology. Two means of orientation are thus used for comparison, namely, a manual orientation and a computer-aided orientation software. Based on the orientation results, an analysis of the software usage is undertaken. As an underlying result of our study, we have come up with an evaluation approach that can be reused in other contexts and with other software.

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Trovato M, Cicconi P (2023) Design tools for metal additive manufacturing: a critical and perspective overview. Procedia CIRP 119:1084–1090. https://doi.org/10.1016/j.procir.2023.03.151CrossRef

Sartini M, Luca M, Claudio F, Marco M (2023) ‘A multi-criteria decision-making approach to optimize the part build orientation in additive manufacturing. Proc Des Soc 3:293–302. https://doi.org/10.1017/pds.2023.30CrossRef

Kasin Ransikarbum and others (2021) Multicriteria decision analysis framework for part orientation analysis in additive manufacturing. J Comput Des Eng 8(4):1141–1157. https://doi.org/10.1093/jcde/qwab037CrossRef

Matos MA, Rocha AMAC, Costa LA (2021) Many-objective optimization of build part orientation in additive manufacturing. Int J Adv Manuf Technol 112:747–762. https://doi.org/10.1007/s00170-020-06369-5CrossRef

Leutenecker-Twelsiek B, Klahn C, Meboldt M (2016) Considering part orientation in design for additive manufacturing. Procedia CIRP 50:408–413. https://doi.org/10.1016/j.procir.2016.05.016CrossRef

Danjou S, Köhler P (2009) Determination of optimal build direction for different rapid prototyping applications. In Proceedings of the 14th European forum on rapid prototyping. Ecole Centrale Paris

Turner CJ, Ma R, Chen J et al (2021) Human in the loop: industry 40 technologies and scenarios for worker mediation of automated manufacturing. IEEE Access 9:103950–103966. https://doi.org/10.1109/access.2021.3099311CrossRef

Grandvallet C, Pourroy F, Prudhomme G, & Vignat F (2017) From elicitation to structuration of additive manufacturing knowledge. In 21st international conference on engineering design ICED17, Vol. 6: design information and knowledge, Vancouver, Canada 21–25.08.2017. https://doi.org/10.18178/ijmerr.7.1.9-15

Pandey PM, Reddy NV, Dhande SG (2007) Part deposition orientation studies in layered manufacturing. J Mater Proc Technol 185:125–131. https://doi.org/10.1016/j.jmatprotec.2006.03.120CrossRef

10.

Das P, Chandran R, Samant R, Anand S (2015) Optimum part build orientation in additive manufacturing for minimizing part errors and support structures. Procedia Manuf 1:343–354. https://doi.org/10.1016/j.promfg.2015.09.041CrossRef

11.

Delfs P, Tows M, Schmid H-J (2016) Optimized build orientation of additive manufactured parts for improved surface quality and build time. Addit Manuf 12:314–320. https://doi.org/10.1016/j.addma.2016.06.003CrossRef

12.

Zhang Y, Bernard A, Harik R, Karunakaran KP (2017) Build orientation optimization for multi-part production in additive manufacturing. J Intell Manuf 28:1393–1407. https://doi.org/10.1007/s10845-015-1057-1CrossRef

13.

Qin Y, Qi Q, Scott PJ, Jiang X (2019) Determination of optimal build orientation for additive manufacturing using Muirhead mean and prioritised average operators. J Intell Manuf 30:3015–3034. https://doi.org/10.1007/s10845-019-01497-6CrossRef

14.

Cooke NJ (1994) Varieties of knowledge elicitation techniques. Int J Human-Comp Stud 41:801–849. https://doi.org/10.1006/ijhc.1994.1083CrossRef

15.

Grandvallet C, Mbow MM, Mainwaring T, Vignat F, Pourroy F, Marin PR (2020) Eight action rules for the orientation of additive manufacturing parts in powder bed fusion: an industry practice. Int J Interact Des Manuf 14:1159–1170. https://doi.org/10.1007/s12008-020-00692-7CrossRef

16.

Mbow MM, Grandvallet C, Vignat F, Marin PR, Perry N et al (2021) Mathematization of experts knowledge: example of part orientation in additive manufacturing. J Intell Manuf 33(5):1–19. https://doi.org/10.1007/s10845-020-01719-2CrossRef

17.

Charlton S, O’Brien T (2001) Handbook of human factors testing and evaluation. John Wiley and Sons. https://doi.org/10.1201/9781003000815CrossRef

18.

Rubin J, Chisnell D (2008) Handbook of usability testing: how to plan, design, and conduct effective tests. John Wiley & Sons

19.

Bias R G, Mayhew D J (2005) Cost-justifying usability: An update for the Internet age. Elsevier

20.

Brooke J (1996) SUS: A ‘‘quick and dirty” usability scale. In: Jordan, P.W., Thomas, B., Weerdmeester, B.A., McClelland, A.L. (Eds.), Usability evaluation in industry. Taylor and Francis, London. https://doi.org/10.1201/9781498710411

21.

Lewis JR (2018) The system usability scale: past, present, and future. Int J Human-Comp Interact. https://doi.org/10.1080/10447318.2018.1455307CrossRef

22.

Bangor A, Kortum PT, Miller JT (2008) An empirical evaluation of the system usability scale. Int J Human-Comp Interact 6:574–594. https://doi.org/10.1080/10447310802205776CrossRef

23.

Seffah A, Donyaee M, Kline R, Padda H (2006) Usability measurement and metrics: a consolidated model. Software Qual J 14:159–178. https://doi.org/10.1007/s11219-006-7600-8CrossRef

24.

Sivaji A, & Soo Shi-Tzuaan, & Abdullah M (2011) “Enhancing the effectiveness of usability evaluation by automated heuristic evaluation system”. 48-53. https://doi.org/10.1109/CICSyN.2011.23

25.

Ivory MY, Hearst MA (2001) 2001, “The state of the art in automating usability evaluation of user interfaces.” ACM Comput Surv 33(4):470–516CrossRef

26.

Hwang CL, Yoon K (1981) Multiple attribute decision making methods and applications: a state-of-the-art survey. Springer-Verlag, New York. https://doi.org/10.1007/978-3-642-48318-9CrossRef

27.

Saaty TL (1980) The analytic hierarchy process. McGraw Hill, New York

28.

Venkata R., 2007, “Decision making in the manufacturing environment: using graph theory and fuzzy multiple attribute decision making methods”. Springer Series in Advanced Manufacturing. Springer London. 374. https://doi.org/10.1007/978-1-84628-819-7

29.

Mardani A, Jusoh A, Zavadskas EK (2015) Fuzzy multiple criteria decision-making techniques and applications – two decades review from 1994 to 2014. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2015.01.003CrossRef

30.

Kuutti K (1996) Context and consciousness: activity theory and human computer interaction, chapter Activity theory as a potential framework for human computer interaction research, pages 17–44. Published in B.A. Nardi (ed.), Cambridge: MIT Press. https://doi.org/10.7551/mitpress/2137.001.0001

31.

Engeström Y., Learning by expanding: an activity-theoretical approach to developmental research. Orienta-Konsultit Oy, Helsinki, 1987. https://doi.org/10.1017/CBO9781139814744

Title: Evaluation of a decision-support tool for part orientation in EBM additive manufacturing
Authors: El- Haddi Mechekour
Frédéric Vignat
Christelle Grandvallet
Franck Pourroy
Philippe René Marin
Jérôme Pailhes
Mouhamadou Mansour Mbow
Guy Prudhomme
Publication date: 27-09-2023
Publisher: Springer London
Published in: The International Journal of Advanced Manufacturing Technology / Issue 2/2024
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-023-12330-z

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