Key Parameter Optimization and Experimental Validation of Induction Heating For the Welding of Thermoplastic Composites

2021 ◽  
Author(s):  
xuhai xiong ◽  
Hao Chen ◽  
Rong Ren ◽  
Jing Wang ◽  
Tianshuo Zhang ◽  
...  
Keyword(s):  
Parameter Optimization ◽  
Induction Heating ◽  
Experimental Validation ◽  
Thermoplastic Composites ◽  
Key Parameter

A study on the induction heating of carbon fiber reinforced thermoplastic composites

2002 ◽  
Vol 11 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Heejune Kim ◽  
Shridhar Yarlagadda ◽  
John W. Gillespie ◽  
Nicholas B. Shevchenko ◽  
Bruce K. Fink
Keyword(s):  
Carbon Fiber ◽  
Induction Heating ◽  
Thermoplastic Composites ◽  
Fiber Reinforced ◽  
Carbon Fiber Reinforced

Modeling of induction heating of thermoplastic composites

2020 ◽  
pp. 089270572091197
Author(s):  
Maximilian Holland ◽  
Michel JL van Tooren ◽  
Darun Barazanchy ◽  
Jaspreet Pandher
Keyword(s):  
Electromagnetic Field ◽  
Temperature Distribution ◽  
Heat Generation ◽  
Induction Heating ◽  
Composite Plates ◽  
Current Density Distribution ◽  
Element Model ◽  
Layered Composite ◽  
Thermoplastic Composites ◽  
Current Densities

In this article, a hybrid finite element model is presented for the simulation of induction heating of layered composite plates. Modeling includes the alternating electromagnetic field generated by an alternating current running through a coil, the current densities in the composite plate resulting from the electromagnetic field, the heat generation resulting from the current density distribution, and the heat transfer resulting from the nonuniform heat generation in the plate and the temperature distribution in the plate. The different elements of the model are shown to capture the time-dependent temperature distribution resulting from a coil moving over the surface of a composite laminate.

Key parameter optimization and analysis of stochastic seismic inversion

2012 ◽  
Vol 9 (1) ◽  
pp. 49-56 ◽  
Author(s):  
Zhe-Yuan Huang ◽  
Li-Deng Gan ◽  
Xiao-Feng Dai ◽  
Ling-Gao Li ◽  
Jun Wang
Keyword(s):  
Parameter Optimization ◽  
Seismic Inversion ◽  
Stochastic Seismic Inversion ◽  
Key Parameter

Preparation of carbon fiber-reinforced polyimide composites via in situ induction heating

2016 ◽  
Vol 29 (9) ◽  
pp. 1027-1036 ◽  
Author(s):  
Chang Wei Liu ◽  
Chun Yan Qu ◽  
Lei Han ◽  
De Zhi Wang ◽  
Wan Bao Xiao ◽  
...  
Keyword(s):  
High Temperature ◽  
Carbon Fiber ◽  
Induction Heating ◽  
High Performance ◽  
Thermoplastic Composites ◽  
Heating Process ◽  
Current Field ◽  
Heating Method ◽  
Polyimide Composites

Induction heating, a direct and contactless heating method, is generally more rapid and energetically more efficient than other heating methods used. In this work, we report the high-temperature imidization of carbon fiber/polyimide (PI) composites using an in situ induction heating method. Furthermore, we compare the advantages of the method to a conventional thermal procedure. The formed composites feature almost identical imidization rates, glass transition temperatures, and thermal oxidative stabilities cured at the same heating temperatures using a different heating process. Upon doping with ferriferous oxide, the ability of the magnetic nanoparticles in an alternating current field was studied to further drive the heating process and increase the rising and cooling time. The in situ induction heating process proves to be a powerful method for the high-temperature polymerization of high-performance thermoplastic composites, particularly for a PI matrix.

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