TY - GEN
T1 - Part Selection for Freeform Injection Molding
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2020
AU - Sharifi, Elham
AU - Chaudhuri, Atanu
AU - Wæhrens, Brian Vejrum
AU - Staal, Lasse G.
AU - Farahani, Saeed D.
PY - 2020
Y1 - 2020
N2 - The purpose of this study is to provide an overview of a methodology, which will enable industrial end-users to identify potential components to be manufactured by Freeform Injection Molding (FIM). The difference between the technical and economic criteria needed for part selection for Additive Manufacturing (AM) and FIM will be discussed, which will lead us towards proposing a new methodology for part selection for FIM. Our proposed approach starts by identifying the most similar components (from end-user part libraries) to some reference parts, which can be produced by FIM. Identification will be followed by cluster analysis based on important factors for FIM part selection. As there are some interdependency between the factors involved in the clusters, some decision rules using Fuzzy Interference System (FIS) will be applied to rank the parts within each cluster using user-defined technical and economic criteria. Once the first set of potential FIMable parts have been identified, Design of Experiment (DOE) will be conducted to investigate which factors are most important and how they interact with each other to generate the desirable quality of the FIM parts. The DOE results will be validated in order to finetune the ranges of the parameters, which gives the best results. Finally, a predictive model will be developed based on the optimum feasible range of FIM parameters. This will help the end-users to analytically find the new FIMable parts without repeating the algorithm for the new parts.
AB - The purpose of this study is to provide an overview of a methodology, which will enable industrial end-users to identify potential components to be manufactured by Freeform Injection Molding (FIM). The difference between the technical and economic criteria needed for part selection for Additive Manufacturing (AM) and FIM will be discussed, which will lead us towards proposing a new methodology for part selection for FIM. Our proposed approach starts by identifying the most similar components (from end-user part libraries) to some reference parts, which can be produced by FIM. Identification will be followed by cluster analysis based on important factors for FIM part selection. As there are some interdependency between the factors involved in the clusters, some decision rules using Fuzzy Interference System (FIS) will be applied to rank the parts within each cluster using user-defined technical and economic criteria. Once the first set of potential FIMable parts have been identified, Design of Experiment (DOE) will be conducted to investigate which factors are most important and how they interact with each other to generate the desirable quality of the FIM parts. The DOE results will be validated in order to finetune the ranges of the parameters, which gives the best results. Finally, a predictive model will be developed based on the optimum feasible range of FIM parameters. This will help the end-users to analytically find the new FIMable parts without repeating the algorithm for the new parts.
KW - Additive manufacturing
KW - Freeform injection molding
KW - Part identification
KW - Technical and economic factors
UR - http://www.scopus.com/inward/record.url?scp=85090177204&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-57997-5_83
DO - 10.1007/978-3-030-57997-5_83
M3 - Article in proceeding
AN - SCOPUS:85090177204
SN - 9783030579968
T3 - I F I P Advances in Information and Communication Technology
SP - 723
EP - 730
BT - Advances in Production Management Systems. Towards Smart and Digital Manufacturing - IFIP WG 5.7 International Conference, APMS 2020, Proceedings
A2 - Lalic, Bojan
A2 - Marjanovic, Ugljesa
A2 - Majstorovic, Vidosav
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer VS
Y2 - 30 August 2020 through 3 September 2020
ER -