Prediction of Compressive Behavior of Laser-Powder-Bed Fusion-Processed TPMS Lattices by Regression Analysis
Triply periodic minimal surface (TPMS) structures offer lightweight and high-stiffness solutions to different industrial applications. However, testing of these structures to calculate their mechanical properties is expensive. Therefore, it is important to predict the mechanical properties of these...
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Format: | Article |
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MDPI AG
2024-01-01
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Series: | Journal of Manufacturing and Materials Processing |
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Online Access: | https://www.mdpi.com/2504-4494/8/1/16 |
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author | Uğur Şimşek Orhan Gülcan Kadir Günaydın Aykut Tamer |
author_facet | Uğur Şimşek Orhan Gülcan Kadir Günaydın Aykut Tamer |
author_sort | Uğur Şimşek |
collection | DOAJ |
description | Triply periodic minimal surface (TPMS) structures offer lightweight and high-stiffness solutions to different industrial applications. However, testing of these structures to calculate their mechanical properties is expensive. Therefore, it is important to predict the mechanical properties of these structures effectively. This study focuses on the effectiveness of using regression analysis and equations based on experimental results to predict the mechanical properties of diamond, gyroid, and primitive TPMS structures with different volume fractions and build orientations. Gyroid, diamond, and primitive specimens with three different volume fractions (0.2, 0.3, and 0.4) were manufactured using a laser powder bed fusion (LPBF) additive manufacturing process using three different build orientations (45°, 60°, and 90°) in the present study. Experimental and statistical results revealed that regression analysis and related equations can be used to predict the mass, yield stress, elastic modulus, specific energy absorption, and onset of densification values of TPMS structures with an intermediate volume fraction value and specified build orientation with an error range less than 1.4%, 7.1%, 19.04%, 21.6%, and 13.4%, respectively. |
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id | doaj.art-6d7ed7c270744869923cfd0a05758181 |
institution | Directory Open Access Journal |
issn | 2504-4494 |
language | English |
last_indexed | 2024-03-07T22:26:42Z |
publishDate | 2024-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Manufacturing and Materials Processing |
spelling | doaj.art-6d7ed7c270744869923cfd0a057581812024-02-23T15:22:52ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942024-01-01811610.3390/jmmp8010016Prediction of Compressive Behavior of Laser-Powder-Bed Fusion-Processed TPMS Lattices by Regression AnalysisUğur Şimşek0Orhan Gülcan1Kadir Günaydın2Aykut Tamer3General Electric Aerospace, Gebze 41400, TurkeyGeneral Electric Aerospace, Gebze 41400, TurkeyGeneral Electric Aerospace, Gebze 41400, TurkeyDepartment of Mechanical Engineering, University of Bath, Bath BA2 7AY, UKTriply periodic minimal surface (TPMS) structures offer lightweight and high-stiffness solutions to different industrial applications. However, testing of these structures to calculate their mechanical properties is expensive. Therefore, it is important to predict the mechanical properties of these structures effectively. This study focuses on the effectiveness of using regression analysis and equations based on experimental results to predict the mechanical properties of diamond, gyroid, and primitive TPMS structures with different volume fractions and build orientations. Gyroid, diamond, and primitive specimens with three different volume fractions (0.2, 0.3, and 0.4) were manufactured using a laser powder bed fusion (LPBF) additive manufacturing process using three different build orientations (45°, 60°, and 90°) in the present study. Experimental and statistical results revealed that regression analysis and related equations can be used to predict the mass, yield stress, elastic modulus, specific energy absorption, and onset of densification values of TPMS structures with an intermediate volume fraction value and specified build orientation with an error range less than 1.4%, 7.1%, 19.04%, 21.6%, and 13.4%, respectively.https://www.mdpi.com/2504-4494/8/1/16TPMSlattice structurelaser powder bed fusionregression analysis |
spellingShingle | Uğur Şimşek Orhan Gülcan Kadir Günaydın Aykut Tamer Prediction of Compressive Behavior of Laser-Powder-Bed Fusion-Processed TPMS Lattices by Regression Analysis Journal of Manufacturing and Materials Processing TPMS lattice structure laser powder bed fusion regression analysis |
title | Prediction of Compressive Behavior of Laser-Powder-Bed Fusion-Processed TPMS Lattices by Regression Analysis |
title_full | Prediction of Compressive Behavior of Laser-Powder-Bed Fusion-Processed TPMS Lattices by Regression Analysis |
title_fullStr | Prediction of Compressive Behavior of Laser-Powder-Bed Fusion-Processed TPMS Lattices by Regression Analysis |
title_full_unstemmed | Prediction of Compressive Behavior of Laser-Powder-Bed Fusion-Processed TPMS Lattices by Regression Analysis |
title_short | Prediction of Compressive Behavior of Laser-Powder-Bed Fusion-Processed TPMS Lattices by Regression Analysis |
title_sort | prediction of compressive behavior of laser powder bed fusion processed tpms lattices by regression analysis |
topic | TPMS lattice structure laser powder bed fusion regression analysis |
url | https://www.mdpi.com/2504-4494/8/1/16 |
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