Molding process optimization of CF/PEEK composites based on grey correlation analysis
Process Technology|更新时间:2026-01-13
|
Molding process optimization of CF/PEEK composites based on grey correlation analysis
“In the field of composite material molding, research has revealed the influence of molding process parameters on the performance of CF/PEEK materials. Grey correlation analysis is used to optimize process parameters, effectively improving material performance.”
YANG Huan,PENG Yulin,LANG Jianzhi,et al. Molding process optimization of CF/PEEK composites based on grey correlation analysis[J]. Engineering Plastics Application,2025,53(12):106-114.
YANG Huan,PENG Yulin,LANG Jianzhi,et al. Molding process optimization of CF/PEEK composites based on grey correlation analysis[J]. Engineering Plastics Application,2025,53(12):106-114. DOI: 10.3969/j.issn.1001-3539.2025.12.014.
Molding process optimization of CF/PEEK composites based on grey correlation analysis
Optimization of process parameters for 3D printing of PLA/CF and PETG/CF composites
Optimization of 3D Printing Process Parameters for PLA based on Orthogonal Experiment
Comparison on mechanical properties of full-scale flexible composite pipes with different structural types
Synthesis and properties of high strength and transparent polyurethane elastomers with MDI
Shielding performance,thermal conductivity and mechanical properties of boron containing high temperature resistant epoxy resin shielding material
Related Author
ABULAKARE Abudoukeremujiang
ZHAO Dongmei
AIYITI Wurikaixi
Zheng Ling
Deng Xin
Jiao Xiaolan
Zhou Yisha
CHANG Zeliang
Related Institution
School of Mechanical Engineering,Xinjiang University
Key Laboratory of Additive Remanufacturing Technology of Xinjiang
School of Materials Science and Engineering, Central South University of Forestry and Technology, Changsha
2. Hunan Province Key Laboratory of Materials Surface & lnterfance Science and Technology, Central South University of Forestry and Technology, Changsha
PetroChina Tarim Oilfield Company, R&D Center for Ultra Deep Complex Reservior Exploration and Development, CNPC, Engineering Research Center for Ultra-deep Complex Reservoir Exploration and Development, Xinjiang Uygur Autonomous Region, Xinjiang Key Laboratory of Ultra-deep Oil and Gas, Korla