...
首页> 外文期刊>International journal of productivity and quality management >Improving foundry process control: an investigation of cluster analysis and path model
【24h】

Improving foundry process control: an investigation of cluster analysis and path model

机译:改善铸造过程控制:聚类分析和路径模型的研究

获取原文
获取原文并翻译 | 示例
           

摘要

Although the use of multivariate statistical methods in quality control is numerous, the relevance and use of cluster analysis and path modelling in multivariate process control have not been effectively investigated. In this study, an attempt was made to model and control the melting process of a grey iron foundry in western India using cluster analysis and path modelling. Online data was collected for 18 variables in total: three raw materials, six processes, and nine quality variables. Initially, cluster analysis was done and the raw material, process and quality variables were grouped into four clusters. Then, path modelling was conducted to model the interrelationships of the quality, process and raw material characteristics of each of the four clusters separately. The results of these analyses were used to develop an improved control scheme and validated through field investigation under the control scheme. The study showed encouraging results with substantial improvement in Cp values for the quality parameters.
机译:尽管在质量控制中使用多元统计方法的方法很多,但是尚未对聚类分析和路径建模在多元过程控制中的相关性和用途进行有效研究。在这项研究中,尝试使用聚类分析和路径建模对印度西部灰铁铸造厂的熔化过程进行建模和控制。在线数据总共收集了18个变量:3个原材料,6个过程和9个质量变量。最初,进行了聚类分析,并将原材料,工艺和质量变量分为四个聚类。然后,进行路径建模以分别模拟四个集群的质量,过程和原材料特性之间的相互关系。这些分析的结果用于制定改进的控制方案,并在该控制方案下通过现场调查进行了验证。该研究显示出令人鼓舞的结果,质量参数的Cp值大大提高。

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