TY - JOUR
T1 - Modeling and simulation of multi-materials for additive manufacturing
AU - Ali, Md Hazrat
AU - Yerbolat, Gaziz
AU - Kurokawa, Syuhei
N1 - Funding Information:
Authors sincerely express their gratitude to Nazarbayev University for the research grant. The Award Number is 090118FD5327. With the financial support, the research activities are carried out successfully.
Funding Information:
Authors sincerely express their gratitude to Nazarbayev University for the research grant. The Award Number is 090118FD5327. With the financial support, the research activities are carried out successfully.
Publisher Copyright:
© 2020, Springer-Verlag France SAS, part of Springer Nature.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - This paper discusses the modeling and simulation of multi-materials for additive manufacturing. The mechanical property analysis of multi-materials is essential for developing a very feasible product. To that aim, a few steps are necessary, firstly, a database of those multi-materials is created. Secondly, stiffening technology is introduced together with an alternative optimization method. Finally, the material minimization technique is developed through the simulation results. Two methods are proposed for material optimization. The first method saves the materials twice, and the second method improves the stiffness characteristics of the materials.The developed method generates promising results, and it is applicable to composite geometries. The finding shows that the technique helps to reduce production costs at large.
AB - This paper discusses the modeling and simulation of multi-materials for additive manufacturing. The mechanical property analysis of multi-materials is essential for developing a very feasible product. To that aim, a few steps are necessary, firstly, a database of those multi-materials is created. Secondly, stiffening technology is introduced together with an alternative optimization method. Finally, the material minimization technique is developed through the simulation results. Two methods are proposed for material optimization. The first method saves the materials twice, and the second method improves the stiffness characteristics of the materials.The developed method generates promising results, and it is applicable to composite geometries. The finding shows that the technique helps to reduce production costs at large.
KW - 3D printing
KW - Additive manufacturing
KW - Composite materials
KW - Material properties
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U2 - 10.1007/s12008-020-00678-5
DO - 10.1007/s12008-020-00678-5
M3 - Article
AN - SCOPUS:85089563954
VL - 14
SP - 1057
EP - 1069
JO - International Journal on Interactive Design and Manufacturing
JF - International Journal on Interactive Design and Manufacturing
SN - 1955-2513
IS - 3
ER -