Composite materials property determination by Rule of Mixture and Monte Carlo Simulation

Gaziz Yerbolat, Shynggys Amangeldi, Md Hazrat Ali, Nazym Badanova, Asset Ashirbeok, Gulzhahan Islam

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

1 Citation (Scopus)

Abstract

This research highlights the novelty of using Monte Carlo Simulation Method (MCSM) for material prediction in 3D printing. In the recent years, the production processes pay particular attention to optimize the use of materials. optimizing the product for a certain percentage positively affects the saving of resources, and this fact motivates the development of industries concerning the use of materials. The promising potential of solving this problem has great influence in Additive Manufacturing (AM), especially in 3D printing. In recent years, this technology has received a tremendous developmental jump by introducing the idea of using several materials simultaneously in one production process. Furthermore, a new concept of 3D printers is being introduced to implement this idea both in Fused Deposition Modeling (FDM) and Selective Laser Sintering (SLS) printing. There are still many factors to be considered, and one of them is the mechanical properties of potential multi-material products, especially the determination of these properties and the automation of this process. Therefore, this paper proposes one of the possible methods to solve this problem by introducing Rule of Mixture based on MCSM.

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.
Pages384-387
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

Materials properties
3D printers
simulation
Composite materials
Printing
production process
printer
automation
mechanical property
manufacturing
Sintering
Automation
laser
Monte Carlo simulation
material
Mechanical properties
industry
Lasers
resource
prediction

Keywords

  • 3D printing
  • Additive manufacturing
  • Material property
  • Monte Carlo simulation
  • Rule of mixture

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

Yerbolat, G., Amangeldi, S., Ali, M. H., Badanova, N., Ashirbeok, A., & Islam, G. (2019). Composite materials property determination by Rule of Mixture and Monte Carlo Simulation. In T-H. Meen (Ed.), Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018 (pp. 384-387). [8615034] (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.2018.8615034

Composite materials property determination by Rule of Mixture and Monte Carlo Simulation. / Yerbolat, Gaziz; Amangeldi, Shynggys; Ali, Md Hazrat; Badanova, Nazym; Ashirbeok, Asset; Islam, Gulzhahan.

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. 384-387 8615034 (Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018).

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

Yerbolat, G, Amangeldi, S, Ali, MH, Badanova, N, Ashirbeok, A & Islam, G 2019, Composite materials property determination by Rule of Mixture and Monte Carlo Simulation. in T-H Meen (ed.), Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018., 8615034, Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018, Institute of Electrical and Electronics Engineers Inc., pp. 384-387, 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018, Yunlin, Taiwan, 11/16/18. https://doi.org/10.1109/AMCON.2018.8615034
Yerbolat G, Amangeldi S, Ali MH, Badanova N, Ashirbeok A, Islam G. Composite materials property determination by Rule of Mixture and Monte Carlo Simulation. 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. 384-387. 8615034. (Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018). https://doi.org/10.1109/AMCON.2018.8615034
Yerbolat, Gaziz ; Amangeldi, Shynggys ; Ali, Md Hazrat ; Badanova, Nazym ; Ashirbeok, Asset ; Islam, Gulzhahan. / Composite materials property determination by Rule of Mixture and Monte Carlo Simulation. 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. 384-387 (Proceedings of the 2018 IEEE International Conference on Advanced Manufacturing, ICAM 2018).
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