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Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective

机译:了解塑料和目标设置的粘性滑移行为:OEM视角

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Automotive OEMs are aggressively using different materials for interiors due to value proposition and variety of options available for customers in market. Excessive usage of different grade plastics with zero gap philosophy can cause stick slip effect leading to squeak noise. Even though systems and subsystems are designed using best practices of structural design and manufacturing tolerances, extreme environmental conditions can induce contacts leading to squeak noise. Appropriate selection of interface material pairs can minimize the possibilities of squeak conditions. Stick-slip behavior of different plastics is discussed in the present study, along with critical parameters during material compatibility testing in a tribological test stand. Friction coefficient of different material pairs for a defined normal load and sliding velocity are analyzed for patterns to recognize squeaks versus time. An OEM perspective is presented with focus on material selection using objective metrics like coefficient of friction and set targets for raw material suppliers regarding compatible materials. In the next step, an algorithm based on machine learning approach has been developed for estimating stick-slip performance.
机译:由于价值主张和可用于市场的客户提供的各种选择,汽车OEM正在积极地使用不同的内部材料。具有零间隙哲学的不同级塑料的过度使用可能导致粘滑效果导致吱吱声噪音。尽管使用结构设计和制造公差的最佳实践设计了系统和子系统,但极端的环境条件也可以诱导导致吱吱声噪声的接触。 Appropriate selection of interface material pairs can minimize the possibilities of squeak conditions.本研究讨论了不同塑料的粘滑行为,以及摩擦学测试台中材料兼容性测试期间的关键参数。分析了定义的正常载荷和滑动速度的不同材料对的摩擦系数以识别吱吱作用的图案。展示OEM的透视专注于使用像摩擦系数的客观度量的材料选择,并为兼容材料的原料供应商设定目标。在下一步中,已经开发了一种基于机器学习方法的算法,用于估计粘滑性能。

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