Correlation analysis of the roughness as function of cutting speed and feed rate (the roughness as function of machining parameters)

  • Jean Robert Pereira Rodrigues Universidade Estadual do Maranhão
  • Rubens Soeiro Gonçalves Instituto Federal de Educação, Ciência e Tecnologia do Maranhão
  • Antonio Santos Araújo Junior Instituto Federal de Educação, Ciência e Tecnologia do Maranhão
  • João Luis de Meneses Barros Universidade Estadual do Maranhão
  • Adilto Pereira Andrade Cunha Universidade Federal do Maranhão
  • Carmen Célia Francisco do Nascimento Instituto Federal de Educação, Ciência e Tecnologia do Maranhão
Keywords: Doehlert’s experimental planning, roughness, external cylindrical turning.

Abstract

Experimental evaluations based on statistical and scientific criteria play fundamental role in identification of optimal performance parameters in manufacturing engineering. Based on this premise, the Doehlert’s experimental planning method was applied to external cylindrical turning process of ABNT 1045 steel, with the purpose of determining the roughness correlation as a function of the cutting speed (Vc) and feed rate (f). The Doehlert’s matrix was defined with five levels for feed rate and three levels for cutting speed, according to coded variables. From these experiments the correlation between input and output variables was determined. The best model is in agreement with the analysis of variance and Fischer’s test. Graphs were obtained for both response and contour surfaces. In addition, the optimal point for the best model was determined by the Lagrange criterion, which corresponds to a feed rate (f) of 0.0880 mm rev-1 and the cutting speed (Vc) of 155 mm min.-1, resulting in a minimum roughness average value (Ra) equals to 0.8916 μm.

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Published
2019-05-02
How to Cite
Rodrigues, J. R. P., Gonçalves, R. S., Araújo Junior, A. S., Barros, J. L. de M., Cunha, A. P. A., & Nascimento, C. C. F. do. (2019). Correlation analysis of the roughness as function of cutting speed and feed rate (the roughness as function of machining parameters). Acta Scientiarum. Technology, 41(1), e37228. https://doi.org/10.4025/actascitechnol.v41i1.37228
Section
Mechanical Engineering

 

0.8
2019CiteScore
 
 
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus