Finding the optimum cutting conditions for face milling 13% manganese steel using the Taguchi design method and predictive equations

James A. Speedie, Ian Black, James M. Ritchie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a methodology for determining the optimum machining parameters for a face mill operation is presented. Taguchi design of experiments was used in company with orthogonal arrays in order to study the effects and interactions that selected parameters had on the cutting behaviour. The parameters that were included in the study were cutting speed, feed rate, depth of cut and the effects of cutting fluid. Using the orthogonal array experimental runs were set up and carried out on specimens of metal plate on a CNC milling centre. The studied material was 13% Austenitic Manganese Steel. The response factors for the experimental runs were surface finish, spindle load, material removal rate, cutting forces and surface hardness. From the results and using the orthogonal arrays a set of empirical models were derived for each response factor which could be used to predict the optimal controllable factor settings for a given production criteria. © (2010) Trans Tech Publications.

Original languageEnglish
Title of host publicationTHERMEC 2009 Supplement
Pages527-532
Number of pages6
Volume89-91
DOIs
Publication statusPublished - 2010
Event6th International Conference on Processing and Manufacturing of Advanced Materials - Berlin, Germany
Duration: 25 Aug 200929 Aug 2009

Publication series

NameAdvanced Materials Research
Volume89-91
ISSN (Print)1022-6680

Conference

Conference6th International Conference on Processing and Manufacturing of Advanced Materials
Abbreviated titleTHERMEC'2009
CountryGermany
CityBerlin
Period25/08/0929/08/09

Keywords

  • 13% manganese steel
  • Face milling
  • Predictive model
  • Taguchi

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    Speedie, J. A., Black, I., & Ritchie, J. M. (2010). Finding the optimum cutting conditions for face milling 13% manganese steel using the Taguchi design method and predictive equations. In THERMEC 2009 Supplement (Vol. 89-91, pp. 527-532). (Advanced Materials Research; Vol. 89-91). https://doi.org/10.4028/www.scientific.net/AMR.89-91.527