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Development of Expert System for Burr Formation Prediction in Face Milling (II) - In Milling Multi Featured workpiece with Multi  

고성림 (건국대학교 기계설계학과)
김영진 (경희대학교 산업공학과)
장재은 (건국대학교 기계설계학과)
이장범 (경희대학교 산업공학과)
김지환 (경희대학교 산업공학과)
Publication Information
Journal of the Korean Society for Precision Engineering / v.20, no.12, 2003 , pp. 25-33 More about this Journal
Abstract
A burr has been defined as undesirable projection of material formed as a result of plastic flow from a cutting or shearing operation. It is unavoidable in all kinds of machining operation. As a result, burr makes troubles on manufacturing process due to deburring cost, quality of products and productivity. In this study, the primary interest is about exit burr. The burr formation mechanism in each type of burr is classified. Data bases are developed to predict burr formation result. In the milling operation, we develop an algorithm to analyze the burr formation mechanism by the geometrical analysis on the multi featured workpiece with multi cutting path. The algorithm includes three steps, i. e., the feature identification, the cutting condition identification, and the analysis on exit burr formation. We can predict which portion of workpiece would have the exit burr in advance so that we can manage to find a way to minimize the exit burr formation in an actual cutting. Also, this algorithm can be implemented in a commercial CAM package so that we can simulate the NC code to review the burr formation in advance.
Keywords
Milling burr; Exit angle; Expert System; Multi-tool Path; Multi Feature;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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