Optimized Packing Titanium Alloy Powder Particles-Reference-Cited by-同舟云学术

Optimized Packing Titanium Alloy Powder Particles

Published:2023-02-01 Issue:2 Volume:11 Page:22
ISSN:2079-3197
Container-title:Computation
language:en
Short-container-title:Computation

Author:

Duriagina Zoia¹²^ORCID,Pankratov Alexander³⁴,Romanova Tetyana³⁴,Litvinchev Igor⁵^ORCID,Bennell Julia⁶,Lemishka Igor¹^ORCID,Maximov Sergiy³

Affiliation:

1. Department of Materials Science and Engineering, Lviv Polytechnic National University, 12 Bandera St., 79013 Lviv, Ukraine

2. Department of Natural Sciences and Technology, Institute of Engineering and Sciences, Katolicki Uniwersytet Lubelski Jana Pawła II, Al. Racławickie 14, 20-950 Lublin, Poland

3. Department of Mathematical Modelling and Optimal Design, Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine, Pozharskogo St., 2/10, 61046 Kharkiv, Ukraine

4. Department of Systems Engineering, Kharkiv National University of Radioelectronics, 14 Nauky Ave., 61166 Kharkiv, Ukraine

5. Graduate Program in Systems Engineering, Nuevo Leon State University (UANL), Av. Universidad s/n, Col. Ciudad Universitaria, San Nicolas de los Garza 66455, Nuevo Leon, Mexico

6. Faculty of Business, University of Leeds, Maurice Keyworth Building, Leeds LS2 9JT, UK

Abstract

To obtain high-quality and durable parts by 3D printing, specific characteristics (porosity and proportion of various sizes of particles) in the mixture used for printing or sintering must be assured. To predict these characteristics, a mathematical model of optimized packing polyhedral objects (particles of titanium alloys) in a cuboidal container is presented, and a solution algorithm is developed. Numerical experiments demonstrate that the results obtained by the algorithm are very close to experimental findings. This justifies using numerical simulation instead of expensive experimentation.

Publisher

MDPI AG

Subject

Applied Mathematics,Modeling and Simulation,General Computer Science,Theoretical Computer Science

Link

https://www.mdpi.com/2079-3197/11/2/22/pdf

Reference34 articles.

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