Mold design can be a difficult, time-consuming process. Determining how to split a mold cavity into multiple mold pieces (e.g., core, cavity) manually can be a tedious process. This paper focuses on the mold construction step of the automated mold design process. By investigating glue operations and its relations with parting faces, an approach based on a new reverse glue operation is presented. The key to the reverse glue operation is to generate parting faces. A problem definition of parting face generation for a region is provided. Correspondingly, three face generating criteria are identified. Based on the parting lines of a region, our algorithms to generate the parting faces are presented. Our mold construction algorithms for two-piece molds and multi-piece molds are also presented with brief discussions. Some industrial examples are provided which illustrate the efficiency and effectiveness of our approach. We tested our mold designs by fabricating stereolithography mold inserts (a rapid tooling method) and molding parts.
Skip Nav Destination
Article navigation
September 2003
Technical Papers
A Reverse Glue Approach to Automated Construction of Multi-Piece Molds
David W. Rosen
David W. Rosen
School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405
Search for other works by this author on:
Yong Chen
3D Systems, Inc., Valencia, CA
David W. Rosen
School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405
Contributed by the Computer-Aided Product Development (CAPD) Committee for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received Dec. 2002; Revised Jun. 2003. Associate Editor: R. Crawford.
J. Comput. Inf. Sci. Eng. Sep 2003, 3(3): 219-230 (12 pages)
Published Online: September 16, 2003
Article history
Received:
December 1, 2002
Revised:
June 1, 2003
Online:
September 16, 2003
Citation
Chen, Y., and Rosen, D. W. (September 16, 2003). "A Reverse Glue Approach to Automated Construction of Multi-Piece Molds ." ASME. J. Comput. Inf. Sci. Eng. September 2003; 3(3): 219–230. https://doi.org/10.1115/1.1603308
Download citation file:
Get Email Alerts
Cited By
Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm
J. Comput. Inf. Sci. Eng (January 2025)
Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study
J. Comput. Inf. Sci. Eng (January 2025)
A Conceptual Design Method Based on Concept–Knowledge Theory and Large Language Models
J. Comput. Inf. Sci. Eng (February 2025)
Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models
J. Comput. Inf. Sci. Eng (February 2025)
Related Articles
Use of Fused Deposition Modeling of Polyphenylsulfone for Centrifugal
Casting of Polyurethane: Material, Surface, and Process
Considerations
J. Manuf. Sci. Eng (October,2011)
Special Issue on Computing Technologies to Support Geometric Dimensioning & Tolerancing (GD&T)
J. Comput. Inf. Sci. Eng (March,2003)
Analysis of Tube Hydroforming by Means of an Inverse Approach
J. Manuf. Sci. Eng (May,2003)
Using Computer Simulation to Validate and Optimize the Design of an Innovative Electronic Packaging Concept
J. Electron. Packag (December,2001)
Related Proceedings Papers
Related Chapters
Optimum Thin Walled Injection Molding Parameters Design, Based on Taguchi Technique for Mobile
International Conference on Computer and Computer Intelligence (ICCCI 2011)
From Tujia Minority People's Residential Buildings to the Application of City Design
International Conference on Optimization Design (ICOD 2010)
Introduction
Marketing of Engineering Consultancy Services: A Global Perspective