A new methodology for automatic process planning and execution based on adaptive information modeling
Abstract
This research has developed methods to automate the generation of process plans for machining operations. The generated process plans are flexible and may vary with the capability of the available manufacturing facilities and the desired production criteria. The finished part and raw part are represented in boundary representation, a solid modeling scheme. The input of the proposed system framework includes the description of (1) the raw part, (2) the finished part, (3) the available cutters, (4) the available machine tools, and (5) the desired production criteria. From the provided input, the proposed approach can automatically, without any human intervention, select the cutter approach directions, cutters, and generate NC paths to machine the raw part into the finished part. To generate the flexible process plans, a new concept of process requirement for manufacturing the finished part is proposed. This process requirement describes the set of acceptable cutter approach directions; and for each acceptable cutter approach direction, it describes the range of acceptable cutters to manufacture the finished part.
Degree
Ph.D.
Advisors
Liu, Purdue University.
Subject Area
Industrial engineering
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