Automated planning and optimization of machining processes: A systems approach

Abstract

Abstract A system is presented that combines the automated planning and optimization functions in machining processes. The planning function is performed by a systematic analysis of the stated requirements of the finished part in the light of information on available machining facilities and raw materials. The optimization phase utilizes a mathematical programming model to take into account various costs and constraints under alternative machining conditions. A gradient or “hill-climbing” algorithm is shown to be a convenient optimization technique for this class of problems. Implementation of the system is illustrated in some detail for the case of the face milling process.