Treatment as Heuristic Construction: A Case Study in Cutting Fluid Selection

摘要

This is the final report of the General Reasoning Engine and Selection Environment (GREASE) project. The GREASE project is an investigation of the application of artifical intelligence to cutting fluid selection and blending for metal matching operations. The problem is to first diagnose the machining operations to determine what fluid characteristics are required, then to select a cutting fluid which satisfies the required characteristics. The problem is exacerbated by the need to select a single fluid to be used by multiple types of operations on a variety of materials. Diagnosis is relatively simple, but treatment specification is difficult due to the variety of operations to be handled. GREASE uses heuristic search in which the evaluation function is heuritically constructed. The construction of the evaluation function begins with the determination of the characteristics of an optimal fluid based on deep knowledge of the machining operations and materials. This is then altered heuristically, according to problems diagnosed with the current fluid. Once the evaluation function is complete, it is used to select an existing fluid from the product line. GREASE has been tested extensively with results which equal that of the experts. It is now being field tested by the Chevron Corp.