Inteligent CAD design and assembly plan of milling heads

Abstract

The main difficulty in the overall process of optimal assembly plan generation is the great number of different ways to assemble a product (typically thousands of solutions). This problem confines the application of most existing automated planning methods to products composed of only a limited number of components. Automatic assembly design and planning has been recognised as an important tool for achieving concurrent product and process development, thus reducing manufacturing costs. AI techniques such as knowledge-based DFA expert systems, fuzzy logic, neural networks, genetic algorithms, case-based reasoning, and their hybrids may be used for assembly planning. AI techniques should be a tool for creating a system which will be able to provide users with suggestions in order to improve a design and also to help obtain better design ideas. In this paper will be presented an assembly plan for milling heads in processing of road and railway infrastructure facilities.