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Laboratory for Manufacturing and Sustainability
University of California, Berkeley

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Review of Geometric Solutions for Milling Burr Prediction and Minimization
Shantanu Tripathi, UC Berkeley
David Dornfeld, UC Berkeley

Tripathi, S. and Dornfeld, D.A. (2006), "Review of Geometric Solutions for Milling Burr Prediction and Minimization", Proc. IMechE Part B: J. Engineering Manufacture, Vol. 220, pp. 459-466.

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ABSTRACT:
In this paper a review of various methodologies for burr prediction and minimization in face milling is presented. In particular, the authors look into the geometric solutions employed, which typically consist of understanding and modifying tool engagement conditions. The extent of applicability of various approaches is discussed and the possible direction for future research is indicated.

SUGGESTED CITATION:
Shantanu Tripathi and David Dornfeld, "Review of Geometric Solutions for Milling Burr Prediction and Minimization" (January 1, 2006). Laboratory for Manufacturing and Sustainability. Consortium on Deburring and Edge Finishing. Paper tripathi_06_1.
http://repositories.cdlib.org/lma/codef/tripathi_06_1

 
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