An artificial intelligent system for selecting grinding parameters for superalloys

Artificial intelligence techniques may be seen as a catalyst enabling the efficient manufacture of higher quality components. Consequently, various AI technologies have been applied to the grinding process. Selection of optimum grinding wheels and grinding conditions is a complex and highly important decision making process. These decision-making stages rely to a great extent on the expert knowledge of engineers and technologists involved in this field. This paper proposes the design and development of an expert system which optimises the selection of grinding parameters for grinding aerospace superalloys. The system is primarily based on the use of case-based reasoning, which can additionally be supported by using rule-based reasoning in order to increase its accuracy.