首页> 外文期刊>International Journal of Computer Integrated Manufacturing >A computer model for time-based tolerance design with response surface methodology
【24h】

A computer model for time-based tolerance design with response surface methodology

机译:基于响应面方法的基于时间的公差设计的计算机模型

获取原文
获取原文并翻译 | 示例
           

摘要

The Response Surface Methodology (RSM) approach is adapted to data analysis for computer simulation to determine the optimal component tolerance in an assembly. RSM is a combination of mathematical and statistical techniques, which provides designers not only with optimal values but also with the critical components of an assembly design. These two properties provide designers with guide-lines, feedback, and suggestions during the design processes. Since the relevant quality characteristics in an assembly are systematically shifted as the customer using time increases, due to the wear process in some components, a time-based tolerance analysis should be included for assembly design. In this study, the response values for measuring relevant quality characteristics at various times are the process capability index and the total cost. The total cost consists of quality loss and tolerance cost Because most of the assembly functions are unknown, difficult to obtain, or need to be changed during the design process, VSA-3D/Pro software is employed to run a computer simulation and convert the computer experimental data into response values. Based on these values, a robust and optimal tolerance design is achieved through RSM analysis. As a result, a tolerance design for quality improvement and cost reduction can be completed in terms of product life cycle.
机译:响应表面方法(RSM)方法适用于数据分析,以进行计算机仿真,以确定组件中的最佳组件公差。 RSM是数学和统计技术的结合,不仅为设计师提供最佳值,而且还为装配设计提供关键要素。这两个属性为设计人员在设计过程中提供了指南,反馈和建议。由于随着客户使用时间的增加,装配中的相关质量特性会系统地转移,由于某些组件的磨损过程,因此应在装配设计中包括基于时间的公差分析。在这项研究中,在不同时间测量相关质量特性的响应值是过程能力指数和总成本。总成本包括质量损失和公差成本。由于大多数装配功能未知,难以获得或需要在设计过程中进行更改,因此使用VSA-3D / Pro软件进行计算机仿真并转换计算机将实验数据转化为响应值。基于这些值,可通过RSM分析获得可靠且最佳的公差设计。结果,就产品生命周期而言,可以完成用于质量改善和成本降低的公差设计。

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