Process Planning of Automobile Sheet Metal For Stamping Die Design
Date Issued
2010
Date
2010
Author(s)
Liu, Kun-Yu
Abstract
Base on the methodology of knowledge-based expert systems, a CAPP(computer-aided process planning) system for automobile sheet metal is constructed. This system use rule-based reasoning to analyze the data of feature recognition, to provide the information of processes like the direction and the location of mechanisms. This system also use KBE (Knowledge-based Engineering) system to manage those information data.
The principle of stamping die design is the manufacturing processes of automobile sheet metal. According to the physical laws of forming sheet metal, the process can be decided. But the knowledge rules are complicated and manifold. Most of them are the tacit knowledge or experience. The CAPP system stores those rules to the database systematically and parametrically. The user can modify the data flexibly. The rule-based reasoning engine is building on the relation between feature and process rule. This paper define the process protocol and feature protocol to represent the feature of sheet metal and the process of stamping die. The process of die design case by case is stored in database for reusing the similar design case.
The CAPP system was implemented by Java language and embedded into the Spring Solid System for surface model. Use the surface model to recognize features as the input of CAPP system. The output is using VB bridge transfer the pass process protocol on Design Guide System that based on CATIA platform. CAPP system also use CATIA Power Copy function to build the standard part template library, and decide the location of mechanisms to provided the solid model designing of stamping die.
Subjects
Stamping Die of Automobile Sheet Metals
Process Planning
Knowledge-based Engineering
Expert System
Rule-based Reasoning
Knowledge rule Representation
File(s)![Thumbnail Image]()
Loading...
Name
ntu-99-R97522641-1.pdf
Size
23.53 KB
Format
Adobe PDF
Checksum
(MD5):cb560e9d15e8178d3d4f9d4dd158f90e
