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Development of a system for stress-related material development of polymer-based tribological materials by combining simple mathematical methods with artificial neural networks

Development of a system for stress-related material development of polymer-based tribological materials by combining simple mathematical methods with artificial neural networks
通过将简单的数学方法与人工神经网络相结合,开发聚合物基摩擦材料的应力相关材料开发系统
批准号:
399606374
负责人:
Professor Dr.-Ing. Alois K. Schlarb
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2021-12-31

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中文摘要
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英文摘要
The aim of the proposed project is a model-based description and simulation of the time-dependent tribological behavior especially of the wear for an extensive collective of temperature, normal force, sliding speed, counterbody roughness, contact geometry and composition of the body material. Therefore, a combination of analytical methods and the method of Artificial Neural Networks is used. Based on the findings an optimized PEEK compound should be proposed by using a backward simulation approach and experimentally verified.
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