Development of Expert Systems for the Design of a Hot-Forging Process Based on Material Workability

Ravi, R and Prasad, YVRK and Sarma, VVS (2003) Development of Expert Systems for the Design of a Hot-Forging Process Based on Material Workability. In: Journal of Materials Engineering and Performance, 12 (6). pp. 646-652.

PDF expert.pdf - Published Version Restricted to Registered users only Download (145kB) | Request a copy

Abstract

Most of the time (and cost) involved in planning hot forging process is related to activities strongly dependent on human expertise, intuition, and creativity, and also to iterative procedure involving extensive experimental work. In this paper, the development of an expert system for forging process design, which emphasizes materials' workability, is discussed. Details of the forging process design expert system, its basic modules, design and implementation details, and deliverables are explained. The system uses the vast database available on the hot workability of more than 200 technologically important materials and the knowledge acquired from a materials' expert. The C Language Integrated Production System (CLIPS) has been adopted to develop this expert system. The expert system can address three types of functions, namely, forging process design, materials information system, and forging defect analysis. The expert system will aid and prompt a novice engineer in designing a forging process by providing accurate information of the process parameters, lubricants, type of machine, die material, and type of process (isothermal versus non-isothermal) for a given material with a known specification or code and prior history.

Item Type:	Journal Article
Publication:	Journal of Materials Engineering and Performance
Publisher:	ASM International
Additional Information:	The Copyright belongs to ASM International.
Keywords:	C language integrated production system clips;Hot forging process;Materials workability
Department/Centre:	Division of Mechanical Sciences > Materials Engineering (formerly Metallurgy) Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	12 Apr 2006
Last Modified:	19 Sep 2010 04:25
URI:	http://eprints.iisc.ac.in/id/eprint/6240

Actions (login required)

View Item