Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—An expert system is a computer system used to distribute the expertise of a human or group of humans throughout a group of users. In this paper a low cost Knowledge Base System (KBS) is proposed for design of deep drawing die. The task of building the system is structured into different modules for major activities of design of deep drawing die. A manufacturability assessment module of the proposed framework is developed to check the manufacturability of deep drawn parts. The technological knowledge is represented by using various logical operators especially IF Else loops and it is coded in ADOBE FLEX, FLASH CS5 language. The future module will be designed to be loaded into the prompt area of AutoCAD using AUTOLISP for automated design. The cost of implementation of proposed system makes it affordable for small and medium scale sheet metal industries.
Index Terms—Knowledge Base System (KBS), Deep drawing die, Manufacturability, Sheet metal
Cite: B V S Rao, G Chandra Mohan Reddy, G Krishna Mohan Rao, P Ranadheer, and P V R Ravindra Reddy, "Low Cost Knowledge Base System for Design of Deep Drawing Die Set," International Journal of Mechanical Engineering and Robotics Research, Vol.2, No. 1, pp. 246-253, January 2013.
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