首页 | 本学科首页   官方微博 | 高级检索  
     


Model-augmented methods for estimation of contact pressure distribution
Authors:Sripati SahRobert X. Gao  Timothy Kurp
Affiliation:Department of Mechanical Engineering, University of Connecticut, Storrs, CT, USA
Abstract:On-line measurement of the contact pressure distribution (CPD) at the tool-workpiece interface during sheet metal stamping is critical to advancing the state-of-art in tool wear and product quality monitoring. Since the number of sensors that can be integrated into a tool structure is limited by concerns of structural integrity and cost, estimation of CPD through a small number of sparsely located sensors has created unique challenges in information acquisition and representation. Specifically, the problem of determining continuous CPD from discrete sensor measurements is under-constrained and thus ill-posed. A mathematical framework is needed for treating such a problem. This paper presents three mathematical approaches Regularization, Kriging, and Spatial Blending to address this problem and discusses their relative merits and limitations.
Keywords:Contact pressure distribution (CPD)   Spatial Blending Functions (SBF)   Regularization   Bayesian inference   Kriging
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号