Paper Titles
An Intelligent Tool to Predict Fracture in Sheet Metal Forming Operations
p.841
Triangulation Based Digitizing of Tooling and Sheet Metal Part Surfaces - Measuring Technique, Analysis of Deviation to CAD and Remarks on Use of 3D-Coordinate Fields for the Finite Element Analysis
p.847
A Methodology for Real Time Surface Strain Measurement for Stamping Through Non-Contact Optical Strain Measurement System
p.855
Achieving Operational Excellence Through Systematic Complexity Reduction in Manufacturing System Design
p.865
An Intelligent System for Modeling and Material Selection for Progressive Die Components
p.873
Automatic Process Control in Press Shops
p.881
Management of Complexity in Automotive Companies in the West Midlands UK
p.889
Assessment of Best Scheduling Practice in Continuous Casting and Hot Rolling of Stainless Steel Strip by System Dynamics Simulation
p.897
Laser Forming Oriented CAD/CAM for Developable Surfaces
p.905

An Intelligent System for Modeling and Material Selection for Progressive Die Components

Article Preview

Abstract:

This paper presents an intelligent system for modeling and material selection for progressive die components. The proposed system comprises of two modules, namely INTPMOD and MATSEL. The first module INTPMOD is constructed for modeling of die block, stripper plate, punch plate, back-up plate, die-set and die assembly of progressive die automatically in the drawing editor of AutoCAD. The second module MATSEL is developed for material selection for progressive die components. Both the modules are coded in AutoLISP language and designed to be loaded into the prompt area of AutoCAD. An illustrative example is included to demonstrate the usefulness of the system modules. The proposed system is implemented on a PC having AutoCAD software and its low cost of implementation makes it affordable for small and medium-size sheet metal industries.

You might also be interested in these eBooks
Sheet Metal 2007 View Preview

Info:

Periodical:

Key Engineering Materials (Volume 344)

Pages:

873-880

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.344.873

Citation:

Cite this paper

Online since:

July 2007

Authors:

S. Kumar, R. Singh

Keywords:

Intelligent System, Material Selection, Modeling, Progressive Die

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2007 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] Li Caiyuan, Li Jianjun, Wen Jianyong and Xiao Xiangzhi: HPRODIE: using feature modelling and feature mapping to speed up progressive die design, Int. Journal of Production Research, Vol. 39 (18) (2001), pp.4133-4151.

DOI: 10.1080/00207540110050591

Google Scholar

[2] H.S. Ismail, S.T. Chen and K.K.B. Hon: Feature-based design of progressive press tools, Int. Journal of Machine Tools and Manufacture, Vol. 36 (3) (1996), pp.367-378.

DOI: 10.1016/0890-6955(95)00047-x

Google Scholar

[3] J.C. Choi, B.M. Kim and Chul Kim: An Automated Progressive Process Planning and Die Design and Working System for Blanking or Piercing and Bending of a Sheet Metal Product, Int. Journal of Advanced Manufacturing Technology, Vol. 15 (1999).

DOI: 10.1007/s001700050093

Google Scholar

[4] Y.K.D.V. Prasad and S. Somasundaram: CADDS: An automated die design system for sheet metal blanking, Computing and Control Engineering Journal, Vol. 3 (1992), pp.185-191.

DOI: 10.1049/cce:19920047

Google Scholar

[5] J.C. Choi and Chul Kim: A compact and practical CAD/CAM system for the blanking or piercing of irregular shaped-sheet metal products for progressive working, Journal of Materials Processing Technology, Vol. 110 (2001), pp.36-46.

DOI: 10.1016/s0924-0136(00)00847-5

Google Scholar

[6] Z.J. Liu, J.J. Li, Y.L. Wang, C.Y. Li and X.Z. Xiao: Automatically extracting sheet-metal features from solid model, Journal of Zhejiang University, Vol. 5 (11) (2004), pp.1456-1465.

DOI: 10.1631/jzus.2004.1456

Google Scholar

[7] R. Pilani1, K. Narasimhan1, S.K. Maiti, U.P. Singh and P.P. Date: A Hybrid Intelligent Systems Approach for Die Design in Sheet Metal Forming, Int. Journal of Advanced Manufacturing Technology, Vol. 16 (2000), pp.370-375.

DOI: 10.1007/s001700050168

Google Scholar

[8] S. Kumar and R. Singh: Trends and Developments in Intelligent Computer Aided Design of progressive Dies, Journal of Advanced Materials Research, Vol. 6-8 (2005), pp.241-248.

Google Scholar