NDLI: Spatial Blending Functions for Improved Estimation of Contact Pressure Distribution at the Tool-Workpiece Interface

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Sah, Sripati Robert, X. Gao Kurp, Timothy
Copyright Year	2010
Abstract	On-line measurement of contact pressure distribution (CPD) at the tool-workpiece interface during sheet metal stamping processes plays a critical role in tool wear and product quality monitoring and control. Realizing such measurement poses a significant challenge, due to the severe operating conditions at the contact interface. Since the number of sensors that can be integrated into a tooling structure is limited by concerns of structural integrity, a mathematical framework is needed for estimating the contact pressure distribution measured by sparse sensors. This paper investigates a new technique termed the Spatial Blending Functions (SBF), which provides an improved estimate of the contact pressure distribution by merging measurements from tooling-embedded sensors with simulation results from Finite Element modeling. The effectiveness of the SBF-based merging technique is demonstrated for the case of a panel stamping operation through Finite Element simulations and experiments performed on a stamping press with a tooling-integrated sensing system. Analysis of the results demonstrates that the SBF-based CPD estimation is more accurate than classic numeric surface interpolation methods, thus enhances contact pressure distribution estimation for stamping process monitoring.
Sponsorship	Manufacturing Engineering Division
Starting Page	459
Ending Page	466
Page Count	8
File Format	PDF
ISBN	9780791849477
DOI	10.1115/MSEC2010-34107
e-ISBN	9780791838877
Volume Number	ASME 2010 International Manufacturing Science and Engineering Conference, Volume 2
Conference Proceedings	ASME 2010 International Manufacturing Science and Engineering Conference
Language	English
Publisher Date	2010-10-12
Publisher Place	Erie, Pennsylvania, USA
Access Restriction	Subscribed
Subject Keyword	Process monitoring Product quality Pressure Modeling Tooling Interpolation Simulation results Metal stamping Simulation Sheet metal Wear Sensors Finite element analysis Engineering simulation
Content Type	Text
Resource Type	Article

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