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使用人工神经网络模型分析和预测温度,用于磨玻璃纤维增强聚合物复合材料

Paulina Spanu1, Bogdan Felician Abaza1, Teodor Catalin Constantinescu2

  • 1Manufacturing Engineering Department, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania.

Polymers
|December 17, 2024
PubMed
概括

这项研究开发了一种人工神经网络 (ANN) 模型,用于预测玻璃纤维增强聚合物 (GFRP) 复合材料的磨温度. 切割速度显著影响温度,这对于防止工具磨损和材料降解至关重要.

关键词:
实验室查看 实验室查看人工神经网络的人工神经网络磨削磨削的方法 磨削聚合物复合物的复合物.温度的温度的温度的温度的温度.

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Classification and Mechanical Properties of Synthetic Polymers01:28

Classification and Mechanical Properties of Synthetic Polymers

Synthetic polymers are classified as elastomers, fibers, or plastics based on their crystallinity. Crystallinity, the degree of long-range order in the solid state, influences the mechanical properties (stretching or contracting) of elastomers. Elastomers are flexible polymers that can expand or contract easily upon the application of an external force. They have numerous crosslinks that pull them back into their original shape when stress is removed. Silicones, for instance, are highly elastic...