Aquantitative relationship is demonstrated between the coefficient of static friction and the milling process parameters. Different levels of surface roughness are obtained by varying the spindle speed, depth of cut and feed which is followed by measurement of surface roughness using stylus profile meter. The corresponding coefficients of static friction are measured for all specimens using inclined plane method. The surface roughness (Ra) value is found to increase with increase in feed rate and depth of cut and vice-versa. The surface roughness is found to marginal decrease with increasing spindle speed. The coefficient of static friction is found to decrease with increasing Ra values.
Published in | American Journal of Mechanical and Industrial Engineering (Volume 1, Issue 3) |
DOI | 10.11648/j.ajmie.20160103.15 |
Page(s) | 64-69 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
Surface Roughness, Feed, Cutting Speed, Friction
[1] | Davim, P. (1990) Influence of cutting parameters of surface finish obtained by turning. M.Sc. Thesis University of Porto, 10-128. |
[2] | Hasmi, M. S. J. (1996) Optimization of surface finish in end milling in inconel 718. J MaterProc Technology, 56, 54-65. |
[3] | Chung, S. C. (1998) A force model for nose radius worn tools with a chamfered main cutting edge. Int.J. Mac. Tools Manufacturing, 38, 1467-1498. |
[4] | Preez, C. J. L. (1998) Surface roughness modeling considered uncertainty in measurements. Int. J. Prod. Research, 40, 2245-2268. |
[5] | Yang, W. H., Tarng, Y. S. (1998) Design optimization of cutting parameters for turning operation based on Taguchi method. J. Mater. Process Technology, 84, 122-29. |
[6] | Xiao, Li., Rosen, G., Naser, A., Nilsson, Per. (2003) A study on the effect of surface topography on rough friction in roller contact. J. Wear,254, 1162-69. |
[7] | Hayajneh, M. T., Tahat, M. S., Bluhm, J. (2007) A study of the effects of machining parameters on the surface roughness in the end-milling process. Jordan Journal of Mechanical and Industrial Engineering, 1, No. 1. |
[8] | Thamizhmanii, S., Saparudin, S., Hasan, S. (2007) Analysis of surface roughness using taguchi method. Achievements in Materials and manufacturing Engineering, 20, 503-05. |
[9] | Al-Amhari, A. M. A. (2007) Predictive machinability models for selected hard materials in turning operations. J. Mat. Proce. Technology, 190, 305-11. |
[10] | Hossain, M. I., Amin, A. K. M., Patwari, A. U. (2008) Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy. ICCCE, 13-15, 1321-1324. |
[11] | Biswas, C. K., Chawla, B. S., Das, N. S., Srinivas, E. R. K. N. K. (2008) Tool wear prediction using neuro-fuzzy system. Institution of Engineer (India) Journal (PR),89, 42-46. |
[12] | Davim, J. P., Gaitonde, V. N., Karnik, S. R., 2008. Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models. Journal of Material Processing Technology, 205, 16-23. |
[13] | Srikanth, T., Kamala, V. (2008)A real coded genetic algorithm for optimization of cutting parameters in turning. IJCSNS, International Journal of Computer Science and National Security,8, 189-193. |
[14] | Sahoo, P., Barman, T. K., Routara, B. C. (2008) Taguchi based practical dimension modeling and optimization in CNC turning. Advanced in Production Engineering and Management, 3, 205-17. |
[15] | Agarwal, N. (2012) Surface roughness modeling with machining parameters (speed, feed and depth of cut) in CNC milling. MIT International Journal of Mechanical Engineering, 2, 55-61. |
[16] | Munawar, M., Mufti, N., Iqbal, H. (2012) Optimization of surface finish in turning operation by considering the machine tool vibration using taguchi method. Mehran University Research Journal of Engineering and Technology, 31, No. 1. |
[17] | Sayeed, A. G. M., Hakeemuddin, A., Sayed, S. S. (2013) Experimental investigation of effect of tool length on surface roughness during turning operation and its optimization. ISOR Journal of Mechanical and Civil Engineering (ISOR-JMCE), e-ISSN: 2278 1684 p- ISSN: 2320 334X 7, 73-80. |
[18] | Sahijpaul, Y.,Singh, G.(2013)Determining the influence of various cutting parameters on surface roughness during wet CNC turning of AISI 1040 medium carbon steel. IOSR Journal of Mechanical and Civil Engineering, e-ISSN: 2278-1684 p- ISSN:2320-334X 7,63-72. |
[19] | Das, B., Rai, R. N., Saha, S. C. (2013) Analysis of surface roughness on machining of AL-5CU alloy in CNC lathe machine. International Journal of Research In Engineering and Technology, eISSN 2319-1113 p ISSN 2321-7308 2, Isuue 9. |
[20] | Aswathy, V. G., Rajeev, N., Vijayan, K. (2015) Effect of machining parameters on surface roughness, material removal rate and roundness error during the wet turning of Ti-6Al-4V alloy. Int. J. of Applied Sciences and Engineering Research, 4, issue 1. |
APA Style
Niraj Kumar, Punit Kumar. (2016). Effect of Milling Parameters on Surface Roughness and Dry Friction: An Experimental and Modeling Study. American Journal of Mechanical and Industrial Engineering, 1(3), 64-69. https://doi.org/10.11648/j.ajmie.20160103.15
ACS Style
Niraj Kumar; Punit Kumar. Effect of Milling Parameters on Surface Roughness and Dry Friction: An Experimental and Modeling Study. Am. J. Mech. Ind. Eng. 2016, 1(3), 64-69. doi: 10.11648/j.ajmie.20160103.15
@article{10.11648/j.ajmie.20160103.15, author = {Niraj Kumar and Punit Kumar}, title = {Effect of Milling Parameters on Surface Roughness and Dry Friction: An Experimental and Modeling Study}, journal = {American Journal of Mechanical and Industrial Engineering}, volume = {1}, number = {3}, pages = {64-69}, doi = {10.11648/j.ajmie.20160103.15}, url = {https://doi.org/10.11648/j.ajmie.20160103.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20160103.15}, abstract = {Aquantitative relationship is demonstrated between the coefficient of static friction and the milling process parameters. Different levels of surface roughness are obtained by varying the spindle speed, depth of cut and feed which is followed by measurement of surface roughness using stylus profile meter. The corresponding coefficients of static friction are measured for all specimens using inclined plane method. The surface roughness (Ra) value is found to increase with increase in feed rate and depth of cut and vice-versa. The surface roughness is found to marginal decrease with increasing spindle speed. The coefficient of static friction is found to decrease with increasing Ra values.}, year = {2016} }
TY - JOUR T1 - Effect of Milling Parameters on Surface Roughness and Dry Friction: An Experimental and Modeling Study AU - Niraj Kumar AU - Punit Kumar Y1 - 2016/10/27 PY - 2016 N1 - https://doi.org/10.11648/j.ajmie.20160103.15 DO - 10.11648/j.ajmie.20160103.15 T2 - American Journal of Mechanical and Industrial Engineering JF - American Journal of Mechanical and Industrial Engineering JO - American Journal of Mechanical and Industrial Engineering SP - 64 EP - 69 PB - Science Publishing Group SN - 2575-6060 UR - https://doi.org/10.11648/j.ajmie.20160103.15 AB - Aquantitative relationship is demonstrated between the coefficient of static friction and the milling process parameters. Different levels of surface roughness are obtained by varying the spindle speed, depth of cut and feed which is followed by measurement of surface roughness using stylus profile meter. The corresponding coefficients of static friction are measured for all specimens using inclined plane method. The surface roughness (Ra) value is found to increase with increase in feed rate and depth of cut and vice-versa. The surface roughness is found to marginal decrease with increasing spindle speed. The coefficient of static friction is found to decrease with increasing Ra values. VL - 1 IS - 3 ER -