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contributor authorNguyen, Hai Trong
contributor authorWang, Hui
contributor authorTai, Bruce L.
contributor authorRen, Jie
contributor authorJack Hu, S.
contributor authorShih, Albert
date accessioned2017-11-25T07:17:17Z
date available2017-11-25T07:17:17Z
date copyright2015/9/9
date issued2016
identifier issn1087-1357
identifier othermanu_138_02_021010.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234483
description abstractThis paper presents a method to reduce surface variation in face milling processes based on high-definition metrology (HDM) measurements. Our previous research has found and established the relations between surface variation patterns, cutting forces, and process variables. Based on the findings, this paper compares potential machining methods and finds that the approaches of varying feed rate and lateral cutter path planning are most feasible for surface variation control. By combining the two approaches, an algorithm is developed to reduce cutting force variation along the feed direction and circumferential direction, respectively, thereby reducing the surface variation. The varying feed method can effectively eliminate the surface variation along the feed direction, while the optimal cutter path approach balances the cutting loads on the cutter and contributes to reducing cutting force variation along feed direction. Case studies were conducted based on a cutting experiment to demonstrate that the proposed method can improve the surface flatness by 25%. The cutter path adjustment algorithm was also implemented in an automotive engine plant leading to 15–25% improvement in surface flatness.
publisherThe American Society of Mechanical Engineers (ASME)
titleHigh-Definition Metrology Enabled Surface Variation Control by Cutting Load Balancing1
typeJournal Paper
journal volume138
journal issue2
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4030782
journal fristpage21010
journal lastpage021010-11
treeJournal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 002
contenttypeFulltext


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