Material Optimization Method in 3D Printing

Md Hazrat Ali, Gaziz Yerbolat, Shynggys Amangeldi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The composite materials with the specified mechanical property open new opportunities for the material optimization. Notably, in 3D printing, several materials can be applied in a single manufacturing process. The critical review of various materials shows a new path to use these materialsboth in Selective Laser Sintering (SLS) printing and in the filament for Fused Deposition Modeling (FDM) printing. The idea of optimization is crucial by relying on the mechanical property of materials and automate it in 3D printing. It is performed by considering the input parameters and the application of the products. The current problem of multi-material optimization is the lack of thorough material property analysis and implementation to develop a proper database. Thus, Finite Element Analysis (FEA) on the selected materials with different specimens and with reasoning results is discussed to investigate materials property. The obtained results can be applied to the material optimization process by selecting proper material according to the boundary conditions. The algorithms of topology optimization indicate the proper application of the obtained results. In this paper, 3D printing through the physical algorithm with the methods of active and inactive points of investigation on geometry is presented. Thus, the inactive points can be excluded, and the material usage could be reduced.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018
EditorsTeen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages365-368
Number of pages4
ISBN (Electronic)9781538656099
DOIs
Publication statusPublished - Jan 16 2019
Event2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018 - Yunlin, Taiwan
Duration: Nov 16 2018Nov 18 2018

Publication series

NameProceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018

Conference

Conference2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018
CountryTaiwan
CityYunlin
Period11/16/1811/18/18

Fingerprint

Printing
Materials properties
mechanical property
material
method
Mechanical properties
Shape optimization
topology
Sintering
Boundary conditions
boundary condition
manufacturing
laser
Finite element method
Geometry
geometry
Lasers
Composite materials
mathematics
lack

Keywords

  • 3D printing
  • Additive manufacturing
  • Filament
  • Material optimization

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanics of Materials
  • Safety, Risk, Reliability and Quality
  • Management, Monitoring, Policy and Law
  • Education
  • Fluid Flow and Transfer Processes
  • Industrial and Manufacturing Engineering

Cite this

Ali, M. H., Yerbolat, G., & Amangeldi, S. (2019). Material Optimization Method in 3D Printing. In T-H. Meen (Ed.), Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018 (pp. 365-368). [8614886] (Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AMCON.2018.8614886

Material Optimization Method in 3D Printing. / Ali, Md Hazrat; Yerbolat, Gaziz; Amangeldi, Shynggys.

Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2019. p. 365-368 8614886 (Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ali, MH, Yerbolat, G & Amangeldi, S 2019, Material Optimization Method in 3D Printing. in T-H Meen (ed.), Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018., 8614886, Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018, Institute of Electrical and Electronics Engineers Inc., pp. 365-368, 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018, Yunlin, Taiwan, 11/16/18. https://doi.org/10.1109/AMCON.2018.8614886
Ali MH, Yerbolat G, Amangeldi S. Material Optimization Method in 3D Printing. In Meen T-H, editor, Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 365-368. 8614886. (Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018). https://doi.org/10.1109/AMCON.2018.8614886
Ali, Md Hazrat ; Yerbolat, Gaziz ; Amangeldi, Shynggys. / Material Optimization Method in 3D Printing. Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 365-368 (Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018).
@inproceedings{bb64a59531b74da0a9bfcf10a413e815,
title = "Material Optimization Method in 3D Printing",
abstract = "The composite materials with the specified mechanical property open new opportunities for the material optimization. Notably, in 3D printing, several materials can be applied in a single manufacturing process. The critical review of various materials shows a new path to use these materialsboth in Selective Laser Sintering (SLS) printing and in the filament for Fused Deposition Modeling (FDM) printing. The idea of optimization is crucial by relying on the mechanical property of materials and automate it in 3D printing. It is performed by considering the input parameters and the application of the products. The current problem of multi-material optimization is the lack of thorough material property analysis and implementation to develop a proper database. Thus, Finite Element Analysis (FEA) on the selected materials with different specimens and with reasoning results is discussed to investigate materials property. The obtained results can be applied to the material optimization process by selecting proper material according to the boundary conditions. The algorithms of topology optimization indicate the proper application of the obtained results. In this paper, 3D printing through the physical algorithm with the methods of active and inactive points of investigation on geometry is presented. Thus, the inactive points can be excluded, and the material usage could be reduced.",
keywords = "3D printing, Additive manufacturing, Filament, Material optimization",
author = "Ali, {Md Hazrat} and Gaziz Yerbolat and Shynggys Amangeldi",
year = "2019",
month = "1",
day = "16",
doi = "10.1109/AMCON.2018.8614886",
language = "English",
series = "Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "365--368",
editor = "Teen-Hang Meen",
booktitle = "Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018",
address = "United States",

}

TY - GEN

T1 - Material Optimization Method in 3D Printing

AU - Ali, Md Hazrat

AU - Yerbolat, Gaziz

AU - Amangeldi, Shynggys

PY - 2019/1/16

Y1 - 2019/1/16

N2 - The composite materials with the specified mechanical property open new opportunities for the material optimization. Notably, in 3D printing, several materials can be applied in a single manufacturing process. The critical review of various materials shows a new path to use these materialsboth in Selective Laser Sintering (SLS) printing and in the filament for Fused Deposition Modeling (FDM) printing. The idea of optimization is crucial by relying on the mechanical property of materials and automate it in 3D printing. It is performed by considering the input parameters and the application of the products. The current problem of multi-material optimization is the lack of thorough material property analysis and implementation to develop a proper database. Thus, Finite Element Analysis (FEA) on the selected materials with different specimens and with reasoning results is discussed to investigate materials property. The obtained results can be applied to the material optimization process by selecting proper material according to the boundary conditions. The algorithms of topology optimization indicate the proper application of the obtained results. In this paper, 3D printing through the physical algorithm with the methods of active and inactive points of investigation on geometry is presented. Thus, the inactive points can be excluded, and the material usage could be reduced.

AB - The composite materials with the specified mechanical property open new opportunities for the material optimization. Notably, in 3D printing, several materials can be applied in a single manufacturing process. The critical review of various materials shows a new path to use these materialsboth in Selective Laser Sintering (SLS) printing and in the filament for Fused Deposition Modeling (FDM) printing. The idea of optimization is crucial by relying on the mechanical property of materials and automate it in 3D printing. It is performed by considering the input parameters and the application of the products. The current problem of multi-material optimization is the lack of thorough material property analysis and implementation to develop a proper database. Thus, Finite Element Analysis (FEA) on the selected materials with different specimens and with reasoning results is discussed to investigate materials property. The obtained results can be applied to the material optimization process by selecting proper material according to the boundary conditions. The algorithms of topology optimization indicate the proper application of the obtained results. In this paper, 3D printing through the physical algorithm with the methods of active and inactive points of investigation on geometry is presented. Thus, the inactive points can be excluded, and the material usage could be reduced.

KW - 3D printing

KW - Additive manufacturing

KW - Filament

KW - Material optimization

UR - http://www.scopus.com/inward/record.url?scp=85062217711&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062217711&partnerID=8YFLogxK

U2 - 10.1109/AMCON.2018.8614886

DO - 10.1109/AMCON.2018.8614886

M3 - Conference contribution

T3 - Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018

SP - 365

EP - 368

BT - Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018

A2 - Meen, Teen-Hang

PB - Institute of Electrical and Electronics Engineers Inc.

ER -