首页> 外文会议>Polyurethanes Technical Conference >In Search of a Best in Class Test Method for Automotive Seating Bolsters
【24h】

In Search of a Best in Class Test Method for Automotive Seating Bolsters

机译:寻找汽车座位垫圈的最佳级测试方法

获取原文

摘要

Measuring the hardness of automotive seat bolsters,in a non-destructive way,can be a difficult task.Current methods use small indenters penetrating shallow depths on curved surfaces,resulting in varying results.Hand held devices are quick and easy to use,but results may vary between operators.Also,different techniques used by technicians during the test will impact the results.Automated machine testing can eliminate the variations obtained with hand held devices.Although automated machine testing is repeatable and quite reliable,it can be difficult to set up,requiring proper positioning of the cushion to get consistent readings.Proper indexing and positioning of the cushion is necessary to test the correct spot on the bolster.If the angle at which the indenter contacts the surface of the bolster is not the same each time,the results will not be accurate.Whether a handheld or an automated machine is used,the area of testing is so limited,any imperfection in the surface or underlying structure will result in an incorrect reading of the actual hardness.Increasing the surface area of the test will give more accurate results by lessening the effect of these imperfections.This paper investigates the accuracy of a typical bolster testing method and proposes ways for obtaining accurate results by using different methods to measure the hardness of curved surfaces as is the case with automotive seat bolsters.
机译:以非破坏性的方式测量汽车座椅垫板的硬度,可以是一个艰巨的任务。每种电流方法使用小型压痕穿透弯曲表面上的浅层深度,从而产生不同的结果。Hand占用设备快速且易于使用,但结果可能会在操作员之间变化,技术人员在测试期间使用的不同技术会影响结果.Automated机器测试可以消除用手持有设备获得的变化。尽管自动化机器测试是可重复的,并且很难设置,但可能难以设置,需要正确定位垫子以获得一致的读数。垫子的分度和定位是在垫上测试垫子上的正确斑点。如果压痕接触凸起的角度,每次都不相同,结果将不准确。使用手持设备或自动化机器,测试面积如此有限,表面或底层str中的任何缺陷Uccture将导致对实际硬度的读取读数。通过减少这些缺陷的效果,测试的表面区域将提供更准确的结果。本文调查了典型的鞋垫测试方法的准确性,并提出了获得准确结果的方法通过使用不同的方法来测量弯曲表面的硬度,就像汽车座椅座垫一样的情况。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号