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Response Surface Methodology Optimization of Resistance Welding Process for Unidirectional Carbon Fiber/PPS Composites.
Yu, Da-Wei; Qing, Xiao-Ting; Lin, Hong-Yu; Yang, Jie; Yang, Jia-Cao; Wang, Xiao-Jun.
Afiliação
  • Yu DW; College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China.
  • Qing XT; College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China.
  • Lin HY; College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China.
  • Yang J; State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu 610065, China.
  • Yang JC; Institute of Materials Science and Technology, Analysis and Testing Center, Sichuan University, Chengdu 610065, China.
  • Wang XJ; Institute of Materials Science and Technology, Analysis and Testing Center, Sichuan University, Chengdu 610065, China.
Materials (Basel) ; 17(10)2024 May 07.
Article em En | MEDLINE | ID: mdl-38793243
ABSTRACT
The use of thermoplastic composites (TPCs) as one of the lightweight solutions will inevitably encounter problems in connection. Resistance welding has the characteristics of high strength, simplicity, and high reliability, and is considered a very potential hot-melt connection technology. The resistance welding technology of unidirectional carbon fiber-reinforced polyphenylene sulfide composites (UCF/PPS) was systematically studied. The experimental results show that the 100-mesh brass mesh has the best resin wetting effect and heating efficiency, and the PPS/oxidized 100-mesh brass mesh composite resistance element (Ox-RE/PPS) has the highest welding strength. The welding failure mode changes from interface failure and RE failure to interlayer structure damage and fiber fracture. The single-factor experimental results show that the maximum welding strength is reached at 310 °C, 1.15 MPa, and 120 kW/m2. According to the conclusion of the single-factor experiment, the Box-Behnken method was further used to design a three-factor, three-level experiment, and a quadratic regression model was established according to the test results. The results of variance analysis, fitting curve analysis, and perturbation plot analysis proved that the model had high fitting and prediction abilities. From the 3D surface diagram analysis, the influence of power density is the largest, and the interaction between welding temperature and power density is the most significant. Combined with the analysis of Design Expert 13 software, the optimal range of process parameters was obtained as follows welding temperature 313-314 °C, welding pressure 1.04-1.2 MPa, and power density 124-128 kW/m2. The average strength of resistance welding joints prepared in the optimal range of process parameters was 13.58 MPa.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Materials (Basel) Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Materials (Basel) Ano de publicação: 2024 Tipo de documento: Article