Analysis and Optimization for Carbon Fiber Reinforced Thermoplastic Induction Welding With Magnetic Flux Concentrator

ABSTRACT Induction welding of carbon fiber reinforced thermoplastic (CFRTP) composites has become one of the most promising welding techniques, attributed to its efficiency, adaptability, and noncontact advantages. However, the uneven temperature field within the welding region severely restricts the weld strength. In this paper, a focused induction welding method (FIWM) was proposed, devoted to controlling magnetic field energy and regulating the temperature field. A three‐dimensional electro‐magnetic‐thermal Multiphysics model was developed to analyze temperature distribution, and the model was validated by induction welding experiments. To guide the magnetic field distribution and reduce the temperature gradient, a cylindrical permanent magnet is introduced into FIWM as a magnetic flux concentrator (MFC). The surrogate models for equilibrium temperature, temperature gradient, and effective area were established to rapidly optimize multiple process parameters. Thus, the optimal parameters were found out by the particle swarm optimization (PSO) method. The results show that the temperature gradient decreased from 123.89°C to 49.68°C, and the effective area increased from 41.0 to1900.3 mm 2 . Finally, the strength of the welded joint was assessed by single lap shear tests, and the result showed that the mechanical properties could reach 36.09 ± 1.44 MPa. Therefore, FIWM is an efficient approach to regulate the temperature field and improve the mechanical performance in CFRTP induction welding.

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Publication Details

Journal
Polymer Composites
Published
2025-06-28
DOI
https://doi.org/10.1002/pc.70029
Citations
1
Primary Topic
Advanced Welding Techniques Analysis
Type
article
Field-Weighted Citation Impact
0.71

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article

Analysis and Optimization for Carbon Fiber Reinforced Thermoplastic Induction Welding With Magnetic Flux Concentrator

Mengjuan Li, Shiyu Wang, Xiao Hou, Lihua Wen et al.
1 citations
Polymer Composites
Advanced Welding Techniques Analysis
0.71
article

Analysis and Optimization for Carbon Fiber Reinforced Thermoplastic Induction Welding With Magnetic Flux Concentrator

Mengjuan Li, Shiyu Wang, Xiao Hou, Lihua Wen, Yanan Zhou
article en
1 citations

Abstract

ABSTRACT Induction welding of carbon fiber reinforced thermoplastic (CFRTP) composites has become one of the most promising welding techniques, attributed to its efficiency, adaptability, and noncontact advantages. However, the uneven temperature field within the welding region severely restricts the weld strength. In this paper, a focused induction welding method (FIWM) was proposed, devoted to controlling magnetic field energy and regulating the temperature field. A three‐dimensional electro‐magnetic‐thermal Multiphysics model was developed to analyze temperature distribution, and the model was validated by induction welding experiments. To guide the magnetic field distribution and reduce the temperature gradient, a cylindrical permanent magnet is introduced into FIWM as a magnetic flux concentrator (MFC). The surrogate models for equilibrium temperature, temperature gradient, and effective area were established to rapidly optimize multiple process parameters. Thus, the optimal parameters were found out by the particle swarm optimization (PSO) method. The results show that the temperature gradient decreased from 123.89°C to 49.68°C, and the effective area increased from 41.0 to1900.3 mm 2 . Finally, the strength of the welded joint was assessed by single lap shear tests, and the result showed that the mechanical properties could reach 36.09 ± 1.44 MPa. Therefore, FIWM is an efficient approach to regulate the temperature field and improve the mechanical performance in CFRTP induction welding.

Polymer CompositesVol. 46(17)
Northwestern Polytechnical University (CN), China Aerospace Science and Technology Corporation (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 31%
Advanced Welding Techniques Analysis
0.71
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