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http://dx.doi.org/10.7839/ksfc.2019.16.3.051

Investigation to Metal 3D Printing Additive Manufacturing (AM) Process Simulation Technology (II)  

Kim, Yong Seok (Department of Mechanical Engineering, University of Ulsan)
Choi, Seong Woong (Department of Construction Machinery Engineering, University of Ulsan)
Yang, Soon Yong (Department of Mechanical Engineering, University of Ulsan)
Publication Information
Journal of Drive and Control / v.16, no.3, 2019 , pp. 51-58 More about this Journal
Abstract
The objective of this study was to investigate a simulation technology for the AM field based on ANSYS Inc.. The introduction of metal 3D printing AM process, and the examining of the present status of AM process simulation software, and the AM process simulation processor were done in the previous study (part 1). This present study (part 2) examined the use of the AM process simulation processor, presented in Part 1, through direct execution of Topology Optimization, Ansys Workbench, Additive Print and Additive Science. Topology Optimization can optimize additive geometry to reduce mass while maintaining strength for AM products. This can reduce the amount of material required for additive and significantly reduce additive build time. Ansys Workbench and Additive Print simulate the build process in the AM process and optimize various process variables (printing parameters and supporter composition), which will enable the AM to predict the problems that may occur during the build process, and can also be used to predict and correct deformations in geometry. Additive Science can simulate the material to find the material characteristic before the AM process simulation or build-up. This can be done by combining specimen preparation, measurement, and simulation for material measurements to find the exact material characteristics. This study will enable the understanding of the general process of AM simulation more easily. Furthermore, it will be of great help to a reader who wants to experience and appreciate AM simulation for the first time.
Keywords
Metal 3D Printing; Additive Manufacturing(AM); AM Process Simulation; ANSYS AM Software; Powder Bed Fusion(PBF); Direct Energy Deposition(DED);
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 Y. S. Kim, S. W. Choi and S. Y. Yang, "Investigation to Metal 3D Printing Additive Manufacturing(AM) Process Simulation Technology (I)", Journal of Drive and Control, Vol.16, No.3, pp.42-50, 2019.   DOI
2 Aidro hydraulic & 3D printing, https://www.aidro.it/3d-metal-printing.html
3 H. G. Kim et al., "Shape Optimization for Enhancing the Performance of an Inducer for the Main Hydraulic Pump in a Rotary Wing Aircraft", Journal of Drive and Control, Vol.14, No.2, pp.37-44, 2017.   DOI
4 D. S. Jung, Y. B. Lee and B. S. Kang, "Study for the Reliability Evaluation of a Volute Pump", Journal of Drive and Control, Vol.15, No.4, pp.23-29, 2018.   DOI
5 ANSYS Help, "Additive Calibration Guide.pdf", http://storage.ansys.com/mbu-assets/additive/calibration.html
6 ANSYS_Additive_Users_2019_R1, "Performing a Single Bead Parametric Simulation", https://ansyshelp.ansys.com/account/secured?returnurl=/Views/Secured/corp/v193/add_print/add_print_science_single_bead.html
7 ANSYS_Additive_Users_2019_R1, "Performing a Porosity Parametric Simulation", https://ansyshelp.ansys.com/account/secured?returnurl=/Views/Secured/corp/v193/add_print/add_print_science_porosity.html
8 Renishaw plc, https://www.renishaw.com/en/hydraulicblock-manifold-redesign-for-additive-manufacturing--38949