Grey Prediction on Sheared Edge Quality in Precision Blanking Process for Micro IT Parts

Bo Wang; Jing Bo Chen

doi:10.4028/www.scientific.net/AMR.266.122

Paper Titles

Synthesis of Hollow Carbon Hemispheres in the Magnesium Carbonate-Metallic Li System with the Help of CHBr₃
p.106

Study on Carburizing and Quenching Cracks of Large Low-Alloy Gears
p.110

Effects of Fineness on Activity Character of Fly Ash
p.114

Ultra Convenient Synthesis of Lanthanide Based Magnetic-Fluorescent Hydrogels for Multimodal Cellular Imaging
p.118

Grey Prediction on Sheared Edge Quality in Precision Blanking Process for Micro IT Parts
p.122

Shear Behavior of CFRP Prestressed Concrete Beams without Stirrups
p.126

Numerical Simulation of a First Normal Stress Difference-Based Model for Shear-Induced Crystallization of Polyethylene
p.130

Experimental Study on Water Stability of Asphalt Mixture
p.135

Evaluation on the Linear Viscoelastic Behaviors of Swelling Styrene-Butadiene-Styrene Block Copolymer
p.139

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Grey Prediction on Sheared Edge Quality in Precision Blanking Process for Micro IT Parts

Abstract:

Sheared edge quality of micro IT parts is an important standard to evaluate product quality. In this paper, a prediction model of sheared edge quality based on grey prediction is studied. By mapping the stroke and the burr width to be the time increment and the eigenvalue of grey system, the grey prediction model was established. The dynamic regularity of burr in actual production was attained from the precision blanking experiment and the prediction of burr width was performed. The results show that the model can predict burr width accurately and needs less sampling data. Thus, it is fit for the requirement of manufacturing.