Mechanical Testing of Selective-Laser-Sintered Polyamide PA2200 Details: Analysis of Tensile Properties via Finite Element Method and Machine Learning Approaches

Author:

Malashin Ivan1ORCID,Martysyuk Dmitriy1,Tynchenko Vadim1ORCID,Nelyub Vladimir1ORCID,Borodulin Aleksei1ORCID,Galinovsky Andrey1

Affiliation:

1. Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia

Abstract

This study delves into the mechanical characteristics of polyamide PA2200 components crafted using selective laser sintering (SLS) technology. Our primary objective is to analyze the tensile behavior of the components printed at various orientations, showing its response to diverse loading conditions. Finite element method (FEM) modeling was employed to analyze the tensile behavior of these details. The time determined for breaking the detail is 9 s. In addition we forecast key properties, such as tensile behavior and strength, using machine learning (ML) techniques, and the best models are for predicting relative elongation are KNeighborsRegressor and SVR.

Publisher

MDPI AG

Reference49 articles.

1. Lasers and materials in selective laser sintering;Kruth;Assem. Autom.,2003

2. Najmon, J.C., Raeisi, S., and Tovar, A. (2019). Additive Manufacturing for the Aerospace Industry, Elsevier.

3. Saffarzadeh, M., Gillispie, G.J., and Brown, P. (2016, January 8–10). Selective Laser Sintering (SLS) rapid protytping technology: A review of medical applications. Proceedings of the 53rd Annual Rocky Mountain Bioengineering Symposium, RMBS 2016 and 53rd International ISA Biomedical Sciences Instrumentation Symposium, Denver, CO, USA.

4. Kruf, W., van de Vorst, B., Maalderink, H., and Kamperman, N. (2006). Intelligent Production Machines and Systems, Elsevier.

5. A novel microscale selective laser sintering (μ-SLS) process for the fabrication of microelectronic parts;Roy;Microsyst. Nanoeng.,2019

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