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Influence of cutting parameters on tool wear and surface roughness in hard turning of AISI H11 tool steel using ceramic tools

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Abstract

In machining of parts, surface quality is one of the most specified customer requirements. Major indication of surface quality on machined parts is surface roughness. There are various machining parameters which have an effect on the surface roughness, but these effects have not been adequately quantified. In order for manufacturers to maximize their gains from utilizing finish hard turning, accurate predictive models for surface roughness and tool wear must be constructed. This paper utilizes response surface methodology (RSM) for modeling to predict surface roughness and tool wear for variety of cutting conditions in finish hard turning. The experimental data obtained from performed experiments in finish turning of hardened AISI H-11 steel have been utilized. Decrease in feed rate and increase in cutting speed resulted in significant increase in surface quality. However, increase in cutting speed also produced relatively higher tool wear. Also depth of cut did not significantly affect the tool wear and surface roughness.

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Abbreviations

A,B,C,D:

describing factors

a p :

depth of cut

f :

feed rate/feed (mm/rev.)

HRC:

Rockwell hardness

r :

nose radius (mm)

VB :

tool wear (mm)

Vc :

cutting speed (m/min)

Y1, Y2 :

describing responses

Ra :

Surface roughness

References

  1. Attanasio, A., Ceretti, E., Fiorentino, A., Cappellinia, C., and Giardinib, C., “Investigation and FEM-based simulation of tool wear in turning operations with uncoated carbide tools,” Wear, Vol. 269, pp. 344–350, 2010.

    Article  Google Scholar 

  2. Chou, Y. K., Chris, C. J., and Barash, M., “Experimental investigation on CBN turning of hardened AISI 52100 steel,” J. Mater. Process. Technology, Vol. 124, pp. 274–283, 2002.

    Article  Google Scholar 

  3. Choudhury, S. K. and Srinivas, P., “Tool wear prediction in turning,” J. Mater. Process. Technology, Vol. 153–154, pp. 276–280, 2004.

    Article  Google Scholar 

  4. Davim, J. P. and Figueira, L., “Machinability evaluation in hard turning of cold work tool steel (D2) with ceramic tools using statistical techniques,” Mater. Des., Vol. 28, No. 4, pp. 1186–1191, 2007.

    Article  Google Scholar 

  5. Gaitonde, V. N., Karnik, S. R., Figueira, L., and Davim, J. P., “Analysis of machinability during hard turning of cold work tool steel (Type: AISI D2),” Materials and Manufacturing Processes, Vol. 24, No. 12, pp. 1373–1382, 2009.

    Article  Google Scholar 

  6. Kwon, Y., Ertekin, Y., and Tseng, T., “Characterization of tool wear measurement with relation to the surface roughness in turning,” Mach. Sci. Technology, Vol. 8, No. 1, pp. 39–51, 2004.

    Article  Google Scholar 

  7. Montgomery, D. C., “Design and Analysis of Experiments, 5th ed.,” John Wiley & Sons, 2001.

  8. Ozel, T., Hsu, T., and Zeren, E., “Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel,” Int. J. Adv. Manuf. Technology, Vol. 25, pp. 262–269, 2005.

    Article  Google Scholar 

  9. Palanikumar, K. and Davim, J. P., “Mathematical model to predict tool wear on the machining of glass fibre reinforced plastic composites,” Mater. Des., Vol. 28, No. 7, pp. 2008–2014, 2007.

    Article  Google Scholar 

  10. Prasad, M. V. R. D., Janardhana, G. R., and Rao, D. H., “Experimental investigation to study the influence of process parameters in dry machining,” ARPN Journal of Engineering and Applied Sciences, Vol. 4, No. 3, pp. 91–94, 2009.

    Google Scholar 

  11. Suhail, H., Ismail, N., Wong, S. V., and Abdul Jalil, N. A., “Optimization of cutting parameters based on surface roughness and assistance of workpiece surface temperature in turning process,” American J. of Engineering and Applied Sciences, Vol. 3, No. 1, pp. 102–108, 2010.

    Article  Google Scholar 

  12. Saini, S., Ahuja, I. S., and Sharma, V. S., “Residual stresses, surface roughness and tool wear in hard turning: a comprehensive review,” Materials and Manufacturing Processes, Vol. 27, No. 6, pp. 583–598, 2012.

    Article  Google Scholar 

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Correspondence to Sanjeev Saini.

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Saini, S., Ahuja, I.S. & Sharma, V.S. Influence of cutting parameters on tool wear and surface roughness in hard turning of AISI H11 tool steel using ceramic tools. Int. J. Precis. Eng. Manuf. 13, 1295–1302 (2012). https://doi.org/10.1007/s12541-012-0172-6

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  • DOI: https://doi.org/10.1007/s12541-012-0172-6

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