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Modeling and Optimization of Surface Roughness in Hard Turning of AISI 4340 Steel with Coated Ceramic Tool

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Abstract

In hard turning (HT), quality of surface plays a major role in functionality of machined part, influencing tribological behavior, fatigue strength, wear and corrosion resistance. The present study concerns the modeling and optimization of surface roughness in dry hard turning of high-strength low-alloy (HSLA) grade AISI 4340 steel (49 HRC) with coated ceramic tool. For parametric study, the turning operations have been established according to Taguchi L16 orthogonal array consisting of an experimental design matrix 4 levels and 3 principal cutting parameters (factors) like depth of cut, cutting speed, and axial feed. Analysis of sixteen set experimental data with ANOVA showed that axial feed and speed are the significant controlled cutting parameters for HT operation from the improvement of surface finish point of view. Thereafter, statistical regression model based on response surface methodology has been proposed for the correlation of cutting parameters with machined workpiece surface roughness. Finally, optimal cutting conditions with an objective to minimize the surface roughness via desirability function analysis of RSM are proposed.

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References

  1. Das SR, Kumar A, Dhupal D. Experimental investigation on cutting force and surface roughness in machining of hardened AISI 52100 steel using cBN tool. International Journal of Machining and Machinability of Materials, 2016; 18:501–521.

    Article  Google Scholar 

  2. Das SR, Dhupal D, Kumar A. Experimental investigation into machinability of hardened AISI 4140 steel using TiN coated ceramic tool. Measurement 2015; 62: 108–126.

    Article  Google Scholar 

  3. Agrawal A, Goel S, Rashid W Bin, Price M. Prediction of surface roughness during hard turning of AISI 4340 steel (69 HRC). Applied Soft Computing Journal 2015; 30: 279–286.

    Article  Google Scholar 

  4. Panda, A., Sahoo, A.K., Rout, A.K., (2016). Investigations on surface quality characteristics with multi-response parametric optimization and correlations. Alexandria Engineering Journal, 55, 1625–1633.

    Article  Google Scholar 

  5. Xio Z, Lio X, Long Z, Li M. Effect of cutting parameters on surface roughness using orthogonal array in hard turning of AISI 1045 steel with YT5 tool. International Journal of Advanced Manufacturing Technology 2017; 93:273–282.

    Google Scholar 

  6. Das SR, Panda A, Dhupal D. Experimental investigation of surface roughness, flank wear, chip morphology and cost estimation during machining of hardened AISI 4340 steel with coated carbide insert. Mechanics of Advanced Materials and Modern Processes 2017; 3:1–14.

    Google Scholar 

  7. Das SR, Panda A, Dhupal D. Analysis of surface roughness in hard turning with coated ceramic inserts: Cutting parameters effects, prediction model, cutting conditions optimization and cost analysis. Ciência e Técnica Vitivinícola: Science and Technology Journal 2017; 32:127–154.

    Google Scholar 

  8. Kacal A, Yildirim F. Application of grey relational analysis in high-speed machining of hardened AISI D6 steel. Journal of Mechanical Engineering Science 2012; 227:1566–1576.

    Google Scholar 

  9. Gunay M, Yucel E. Application of Taguchi method for determining optimum surface roughness in turning of high-alloy white cast iron. Measurement 2013; 46:913–919.

    Article  Google Scholar 

  10. Aouici H, Fnides B, Elbah M, Benlahmidi S, Bensouilah H, Yallese MA. Surface roughness evaluation of various cutting materials in hard turning of AISI H11. International Journal of Industrial Engineering Computations 2016; 7:339–352.

    Google Scholar 

  11. Meddour I, Yallese MA, Khattabi R, Elbah M, Boulanour L. Investigating and modeling of cutting forces and surface roughness when hard turning of AISI 52100 steel with mixed ceramic tool: cutting conditions optimization. International Journal of Advanced Manufacturing Technology 2014; 77:1387–1399.

    Article  Google Scholar 

  12. Zerti O, Yallese MA, Khettabi R, Chaoui K, Mabrouki T. Design optimization for minimum technological parameters when dry turning of AISI D3 steel using Taguchi method. International Journal of Advanced Manufacturing Technology 2016; 89:1915–1934.

    Article  Google Scholar 

  13. Khellaf A, Aouici H, Smaiah S, Boutabba S, Yallese MA, Elbah M. Comparative assessment of two ceramic cutting tools on surface roughness in hard turning of AISI H11 steel : including 2D and 3D surface topography. International Journal of Advanced Manufacturing Technology 2016; 89:333–354.

    Article  Google Scholar 

  14. Panda A, Das SR, Dhupal D. Surface Roughness Analysis for Economical Feasibility Study of Coated Ceramic Tool in Hard Turning Operation. Process Integration and Optimization for Sustainability 2017; 1:1–13.

    Article  Google Scholar 

  15. Kumar P and Chauhan SR. Machinability Study on Finish Turning of AISI H13 Hot Working Die Tool Steel With Cubic Boron Nitride (CBN) Cutting Tool Inserts Using Response Surface Methodology (RSM). Arabian Journal for Science and Engineering 2015; 40:1471–1485.

    Article  Google Scholar 

  16. Tang L, Gao C, Huang J, Shen H, Lin X. Experimental investigation of surface integrity in finish dry hard turning of hardened tool steel at different hardness levels. International Journal of Advanced Manufacturing Technology 2015; 77:1655–1669.

    Article  Google Scholar 

  17. Kumar S, Singh D, Kalsi NS. Surface quality evaluation of AISI 4340 steel having varying hardness during machining with TiN-coated CBN inserts. Journal of Engineering Tribology. https://doi.org/10.1177/1350650116684243.

    Article  Google Scholar 

  18. Mia M, Dhar NR. Optimization of surface roughness and cutting temperature in high-pressure coolant-assisted hard turning using Taguchi method. International Journal of Advanced Manufacturing Technology 2017; 88:739–753.

    Article  Google Scholar 

  19. Naigade DM, Patil DK, Sadaiah M. Some investigations in hard turning of AISI 4340 alloy steel in different cutting environments by CBN insert. International Journal of Machining and Machinability of Materials 2013; 14:165–193.

    Article  Google Scholar 

  20. Sahu SK, Mishra PC, Orra K, Sahoo AK. Performance assessment in hard turning of AISI 1015 steel under spray impingement cooling and dry environment. Journal of Engineering Manufacture 2014; 229:251–265.

    Article  Google Scholar 

  21. Chinchanikar S, Salve AV, Netake P, More A, Kendre S, Kumar R. Comparative Evaluations of Surface Roughness During Hard Turning under Dry and with Water-based and Vegetable Oil-based Cutting Fluids. Procedia Materials Science 2014; 5:1966–1975.

    Article  Google Scholar 

  22. Nouioua M, Yallese MA, Khettabi R, Belhadi S, Bouhalais ML, Girardin F. Investigation of the performance of the MQL, dry, and wet turning by response surface methodology (RSM) and artificial neural network (ANN). International Journal of Advanced Manufacturing Technology https://doi.org/10.1007/s00170-017-0589-2.

    Article  Google Scholar 

  23. Sahoo AK, Sahoo B. Performance studies of multilayer hard surface coatings (TiN/TiCN/Al2O3/TiN) of indexable carbide inserts in hard machining: Part-I (An experimental approach). Measurement 2013; 46:2854–2867.

    Article  Google Scholar 

  24. Hessainia, Z, Belbah A, Yallese, MA, Mabrouki T, Rigal JF. On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations Measurement 2013; 46:1671–1681.

    Google Scholar 

  25. Suresh R, Basavarajappa S, Samuel GL. Some studies on hard turning of AISI 4340 steel using multilayer coated carbide tool. Measurement (2012); 45:1872–1884.

    Article  Google Scholar 

  26. Azizi MW, Belhadi S, Yallese MA, Mabrouki T, Rigal JF. Surface roughness and cutting forces modeling for optimization of machining condition in finish hard turning of AISI 52100 steel. Journal of Mechanical Science and Technology 2012; 26:4105–4114.

    Article  Google Scholar 

  27. Das SR, Dhupal D, Kumar A. Study of surface roughness and flank wear in hard turning of AISI 4140 steel with coated ceramic inserts. Journal of Mechanical Science and Technology 2015; 29:4329–4340.

    Article  Google Scholar 

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Correspondence to Sudhansu Ranjan Das .

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Jena, J., Panda, A., Behera, A.K., Jena, P.C., Das, S.R., Dhupal, D. (2019). Modeling and Optimization of Surface Roughness in Hard Turning of AISI 4340 Steel with Coated Ceramic Tool. In: Chattopadhyay, J., Singh, R., Prakash, O. (eds) Innovation in Materials Science and Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-2944-9_15

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  • DOI: https://doi.org/10.1007/978-981-13-2944-9_15

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