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Optimization of cutting conditions for surface roughness in CNC end milling

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Abstract

The aim of this research is to develop an integrated study of surface roughness to model and optimize the cutting parameters when end milling of 6061 aluminum alloy with HSS and carbide tools under dry and wet conditions. A multiple regression analysis using analysis of variance is conducted to determine the performance of experimental measurements and to show the effect of cutting parameters on the surface roughness. The second-order mathematical models in terms of machining parameters have been developed for each of these conditions on the basis of experimental results. Genetic algorithm (GA) supported with the regression equation is utilized to determine the best combinations of cutting parameters providing roughness to the lower surface through optimization process. The value obtained from GA is compared with that of experimental value and found reliable. It is observed from the results that the developed study can be applied to other machining processes operating under different machining conditions.

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Abbreviations

N:

spindle speed

d:

depth of cut

f:

feed rate

Ra :

surface roughness

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Authors and Affiliations

  1. Department of Mechanical Engineering, S. R. K. R. Engineering College, Bhimavaram, A. P., India, 534 204

    Kantheti Venkata Murali Krishnam Raju & Vanapalli Durga Prasada Rao

  2. Department of Mechanical Engineering, J. N. T. U. College of Engineering, Kakinada, A. P., India, 533 003

    Gink Ranga Janardhana

  3. Department of Mechanical Engineering, Narayanadri Institute of Science and Technology, Rajampet, A. P., India, 516 115

    Podaralla Nanda Kumar

Authors
  1. Kantheti Venkata Murali Krishnam Raju
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  2. Gink Ranga Janardhana
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  3. Podaralla Nanda Kumar
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  4. Vanapalli Durga Prasada Rao
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Correspondence to Kantheti Venkata Murali Krishnam Raju.

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Raju, K.V.M.K., Janardhana, G.R., Kumar, P.N. et al. Optimization of cutting conditions for surface roughness in CNC end milling. Int. J. Precis. Eng. Manuf. 12, 383–391 (2011). https://doi.org/10.1007/s12541-011-0050-7

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  • DOI: https://doi.org/10.1007/s12541-011-0050-7

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