Classification and prediction of burr formation in micro drilling of ductile metals

Volume: 55, Issue: 17, Pages: 4833 - 4846
Published: Nov 3, 2016
Abstract
In the micro drilling of precision miniature holes, the formation of exit burrs is a topic of interest, especially for ductile materials. Because such burrs are difficult to remove, it is important to be able to predict various burr types and to employ burr minimisation schemes that consider burrs’ micro-scale characteristics. In the present work, an artificial neural network (ANN) was used to predict the formation of burrs in the micro drilling...
Paper Details
Title
Classification and prediction of burr formation in micro drilling of ductile metals
Published Date
Nov 3, 2016
Volume
55
Issue
17
Pages
4833 - 4846
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.