Mechanical property prediction method based on multi-material 3D printer

Gaziz Yerbolat, Amangeldi Shynggys, Md Hazrat Ali

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

2 Citations (Scopus)

Abstract

The application area of additive manufacturing, especially 3D printing is increasing dramatically. A 3D printer can produce objects with complex shapes, and it shows promising results in manufacturing technology which can replace conventional production technology. Nevertheless, the technique of 3D printing has several limitations regarding material usage and process optimization. Because of that most of the researchers pay attention to the development and optimization of materials in 3D printing. This paper presents a new technique for mechanical property prediction of 3D printing materials. It also discusses the simulation method which can accurately predict stresses and deformations for the complex structures that are built of two or more materials with various mechanical properties.

Original languageEnglish
Title of host publication2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages498-502
Number of pages5
ISBN (Electronic)9781538651612
DOIs
Publication statusPublished - Feb 12 2019
EventJoint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018 - Kitakyushu, Japan
Duration: Jun 25 2018Jun 28 2018

Publication series

Name2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018

Conference

ConferenceJoint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
CountryJapan
CityKitakyushu
Period6/25/186/28/18

Keywords

  • 3D printer
  • Additive manufacturing
  • Mechanical property
  • Multi- material

ASJC Scopus subject areas

  • Signal Processing
  • Control and Optimization
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems

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