Multi-Objective Optimization of Resistance Welding Process of GF/PP Composites
Thermoplastic composites (TPCs) are promising materials for aerospace, transportation, shipbuilding, and civil use owing to their lightweight, rapid prototyping, reprocessing, and environmental recycling advantages. The connection assemblies of TPCs components are crucial to their application; compa...
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MDPI AG
2021-07-01
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Series: | Polymers |
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Online Access: | https://www.mdpi.com/2073-4360/13/15/2560 |
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author | Guowei Zhang Ting Lin Ling Luo Boming Zhang Yuao Qu Bangke Meng |
author_facet | Guowei Zhang Ting Lin Ling Luo Boming Zhang Yuao Qu Bangke Meng |
author_sort | Guowei Zhang |
collection | DOAJ |
description | Thermoplastic composites (TPCs) are promising materials for aerospace, transportation, shipbuilding, and civil use owing to their lightweight, rapid prototyping, reprocessing, and environmental recycling advantages. The connection assemblies of TPCs components are crucial to their application; compared with traditional mechanical joints and adhesive connections, fusion connections are more promising, particularly resistance welding. This study aims to investigate the effects of process control parameters, including welding current, time, and pressure, for optimization of resistance welding based on glass fiber-reinforced polypropylene (GF/PP) TPCs and a stainless-steel mesh heating element. A self-designed resistance-welding equipment suitable for the resistance welding process of GF/PP TPCs was manufactured. GF/PP laminates are fabricated using a hot press, and their mechanical properties were evaluated. The resistance distribution of the heating elements was assessed to conform with a normal distribution. Tensile shear experiments were designed and conducted using the Taguchi method to evaluate and predict process factor effects on the lap shear strength (LSS) of GF/PP based on signal-to-noise ratio (S/N) and analysis of variance. The results show that current is the main factor affecting resistance welding quality. The optimal process parameters are a current of 12.5 A, pressure of 2.5 MPa, and time of 540 s. The experimental LSS under the optimized parameters is 12.186 MPa, which has a 6.76% error compared with the result predicted based on the S/N. |
first_indexed | 2024-03-10T09:10:05Z |
format | Article |
id | doaj.art-5a99c12cf94d4e6da20bf479993a9f82 |
institution | Directory Open Access Journal |
issn | 2073-4360 |
language | English |
last_indexed | 2024-03-10T09:10:05Z |
publishDate | 2021-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Polymers |
spelling | doaj.art-5a99c12cf94d4e6da20bf479993a9f822023-11-22T06:04:46ZengMDPI AGPolymers2073-43602021-07-011315256010.3390/polym13152560Multi-Objective Optimization of Resistance Welding Process of GF/PP CompositesGuowei Zhang0Ting Lin1Ling Luo2Boming Zhang3Yuao Qu4Bangke Meng5School of Materials Science and Engineering, Beihang University, Beijing 100191, ChinaDesign and Development Center, AECC Commercial Aircraft Engine Co., Ltd., Shanghai 201104, ChinaSchool of Materials Science and Engineering, Beihang University, Beijing 100191, ChinaSchool of Materials Science and Engineering, Beihang University, Beijing 100191, ChinaSchool of Chinese Medicine, Heilongjiang Academy of Chinese Medical Sciences, Harbin 150036, ChinaTechnology Department, JOY Composites Co., Ltd., Tai’an 271033, ChinaThermoplastic composites (TPCs) are promising materials for aerospace, transportation, shipbuilding, and civil use owing to their lightweight, rapid prototyping, reprocessing, and environmental recycling advantages. The connection assemblies of TPCs components are crucial to their application; compared with traditional mechanical joints and adhesive connections, fusion connections are more promising, particularly resistance welding. This study aims to investigate the effects of process control parameters, including welding current, time, and pressure, for optimization of resistance welding based on glass fiber-reinforced polypropylene (GF/PP) TPCs and a stainless-steel mesh heating element. A self-designed resistance-welding equipment suitable for the resistance welding process of GF/PP TPCs was manufactured. GF/PP laminates are fabricated using a hot press, and their mechanical properties were evaluated. The resistance distribution of the heating elements was assessed to conform with a normal distribution. Tensile shear experiments were designed and conducted using the Taguchi method to evaluate and predict process factor effects on the lap shear strength (LSS) of GF/PP based on signal-to-noise ratio (S/N) and analysis of variance. The results show that current is the main factor affecting resistance welding quality. The optimal process parameters are a current of 12.5 A, pressure of 2.5 MPa, and time of 540 s. The experimental LSS under the optimized parameters is 12.186 MPa, which has a 6.76% error compared with the result predicted based on the S/N.https://www.mdpi.com/2073-4360/13/15/2560resistance weldingthermoplastic composites (TPCs)glass-fiber-reinforced polypropylene (GF/PP)multi-objective optimization |
spellingShingle | Guowei Zhang Ting Lin Ling Luo Boming Zhang Yuao Qu Bangke Meng Multi-Objective Optimization of Resistance Welding Process of GF/PP Composites Polymers resistance welding thermoplastic composites (TPCs) glass-fiber-reinforced polypropylene (GF/PP) multi-objective optimization |
title | Multi-Objective Optimization of Resistance Welding Process of GF/PP Composites |
title_full | Multi-Objective Optimization of Resistance Welding Process of GF/PP Composites |
title_fullStr | Multi-Objective Optimization of Resistance Welding Process of GF/PP Composites |
title_full_unstemmed | Multi-Objective Optimization of Resistance Welding Process of GF/PP Composites |
title_short | Multi-Objective Optimization of Resistance Welding Process of GF/PP Composites |
title_sort | multi objective optimization of resistance welding process of gf pp composites |
topic | resistance welding thermoplastic composites (TPCs) glass-fiber-reinforced polypropylene (GF/PP) multi-objective optimization |
url | https://www.mdpi.com/2073-4360/13/15/2560 |
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