A knowledge-based system for generation and control of finite-element meshes in forging simulation

1992 ◽  
Vol 1 (3) ◽  
pp. 415-428 ◽  
Author(s):  
P. D. Dabke ◽  
I. Haque ◽  
M. Srikrishna ◽  
J. E. Jackson
Keyword(s):  
Finite Element ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Finite Element Meshes ◽  
And Control

A Combined Knowledge-Based and Finite Element Approach to Forging Die Design

1991 ◽  
Author(s):  
Imtiaz Haque ◽  
P. D. Dabke ◽  
Chesley Rowe ◽  
John Jackson
Keyword(s):  
Finite Element ◽  
Mesh Generation ◽  
Die Design ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Element Simulation ◽  
Regeneration Procedure ◽  
Element Approach ◽  
Forging Die ◽  
Simulation Package

Abstract This paper presents the use of a knowledge-based system to provide the link between computer-aided rule-of-thumb procedures and a finite element simulation package for the design of forging dies. The knowledge-based system automates the mesh generation and regeneration procedure that is traditionally the most cumbersome aspect of such a process. The system is programmed in Prolog, C, and Fortran. It is based on parametric mapping approach and generates 2-D quadrilateral meshes. Results are presented to show its effectiveness in reducing the effort and skill required for conducting forging simulations.

Using Features to Support Finite Element Idealizations

1994 ◽  
Author(s):  
Padmanabh Dabke ◽  
Vallury Prabhakar ◽  
Sheri Sheppard
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Spatial Reasoning ◽  
Element Model ◽  
Heuristic Knowledge ◽  
Knowledge Based System ◽  
Spatial Properties ◽  
Knowledge Based ◽  
Feature Based ◽  
The Finite Element Model

Abstract This paper describes how feature-based techniques can be used in a knowledge-based system to support finite element idealizations. Any system of this kind must have two important features. First, it must capture the experiential and heuristic knowledge used by expert analysts in making idealization decisions. Second, the system must be able to perform spatial reasoning about the finite element model being analyzed. The first requirement led us to incorporate knowledge-based reasoning in the idealization systems. We chose the formalism of “features” to capture the spatial reasoning because expert analysts often describe the idealization process in terms of removing / modifying features (such as holes, slots, notches, etc.) and their spatial properties.

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