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Gupta, Hemant Kumar
- Analysis of Surface Roughness in CNC Turning Using Response Surface Methodology
Abstract Views :270 |
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Authors
Affiliations
1 Department of Mechanical Engineering, Poornima College of Engineering, Jaipur, Rajasthan, IN
1 Department of Mechanical Engineering, Poornima College of Engineering, Jaipur, Rajasthan, IN
Source
International Journal of Interdisciplinary Research, Vol 3, No 1 (2017), Pagination: 7-10Abstract
The turning process is used in many industries ranging from large engine manufactures to small die shops. The turning process using CNC lathe is widely used because of its versatility and efficiency. Surface roughness is an important factor that affects the quality in manufacturing process. The main objective of this paper is to analysis the surface roughness in CNC turning operation by various parameters such as feed rate, cutting speed, depth of cut. Response surface methodology has been used to study the effect of the main turning parameters on the surface roughness of EN 36 alloys steel. It shows that as the feed and speed increases, the surface roughness increases.Keywords
CNC Machine, Depth of Cut, Feed Rate, RSM, Optimization, Spindle Speed, Surface Roughness.
References
- N. V. S. S. Sagar, and M. M. Mohan, “Optimization of machining parameters of En36 material using Taguchi method,” NAFEMS India Regional Conference 2015, Procedia (2015), p. 36.
- J. Paro, H. Hanninen, and V. Kauppinen, “Tool wear and machinability of HIPed P/M and conventional cast duplex stainless steels,” Wear, Elsevier, vol. 249, no. 3-4, pp. 279-284, May 2001.
- I. Korkut, M. Kasap, I. Ciftci, and U. Seker, “Determination of optimum cutting parameters during machining of AISI 304 austenitic stainless steel,” Materials and Design, Elsevier, vol. 25, no. 4, pp. 303-305, June 2004.
- B. Latha, and V. S. Senthilkumar, “Modeling and analysis of surface roughness parameters in drilling GFRP composites using fuzzy logic,” Materials and Manufacturing Processes, Taylor and Francis, vol. 25 no. 8, pp. 817-827, September 2010.
- K. Hassan, A. Kumar, and M. P. Garg, “Experimental investigation of material removal rate in CNC turning using Taguchi method,” International Journal of Engineering Research and Applications, vol. 2, no. 2, pp. 1581-1590, March-April 2012.
- B. C. Routara, P. Sahoo, and A. Bandyopadhyay, “A Multi objective optimization of cutting parameters for surface roughness in CNC turning using RSM,” vol. 2, 15 December 2008.
- D. I. Lalwani, N. K. Mehta, and P. K. Jain, “Effect of cutting conditions on forces in finish hard turning of MDN300 steel,” vol. 2, 15 December 2008, (23rd AIMTDR).
- H. Hadi, L. Tajul, Z. A. Zailani, M. F. M. A. Hamzas, and M. S. Hussin “The parametric effect and optimization on JIS S45 steel turning,” International Journal of Engineering Science and Technology, vol. 3, no. 5, pp. 4479-4487, May 2011.
- G. Mahesh, S. Muthu, and S. R. Devadasan, Experimentation and prediction of surface roughness of the machining parameter with reference to the rake angle in end mill,” International Review of Mechanical Engineering, vol. 6, no. 7, pp. 1418-1426, November 2012.
- K. Saravanakumar, M. R. P. Kumar, A. K. S. Dawood, “Optimization of CNC turning process parameters on INCONEL 718 using genetic algorithm,” IRACST - Engineering Science and Technology: An International Journal, vol. 2, no. 4, pp. 532-537, August 2012.
- V. N. Ch. Madhu, A. V. N. L. Sharma, and K. V. Subbiah, “Optimization of cutting parameters for surface roughness prediction using artificial neural network in CNC Turning,” IRACST - Engineering Science and Technology: An International Journal vol. 2, no. 2, pp. 207-214, April 2012.
- J. S. Senthilkumaar, P. Selvarani, and R. M. Arunachalam, “Selection of machining parameters based on the analysis of surface roughness and flank wear in finish turning and facing of INCONEL 718 using Taguchi technique,” Emirates Journal for Engineering Research, vol. 15, no. 2, pp. 7-14, 2010.
- H. Oktem, T. Erzurumlu, and H. Kurtaran, “Application of response surface methodology in the optimization of cutting conditions for surface roughness,” Journal of Materials Processing Technology, Elsevier, vol. 170, no. 1-2, pp. 11-16, December 2005.
- M. A. Kuttolamadom, S. Hamzehlouia, and M. L. Mears, “Effect of machining feed on surface roughness in cutting 6061 aluminum,” SAE 2010 World Congress and Exhibition, SAE International, pp. 1-19, April 2010.
- Total Productive Maintenance:A Case Study
Abstract Views :244 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Poornima College of Engineering, Jaipur, Rajasthan, IN
1 Department of Mechanical Engineering, Poornima College of Engineering, Jaipur, Rajasthan, IN
Source
International Journal of Interdisciplinary Research, Vol 3, No 1 (2017), Pagination: 48-51Abstract
In the present scenario of increased product manufacturing competition, the customer has to be satisfied in terms of product quality, product delivery time and the cost of product. To fulfill all these needs, the adoption of Total Productive Maintenance (TPM) is a maintenance program which involves a newly defined concept of maintaining plants and its equipments. The main focus of this paper is to review the concept of TPM and find out the tangible as well as intangible benefits derived at different stages. It also focuses on the calculation of Overall Equipment Effectiveness (OEE) and implementation methodology. TPM implementation is advantageous to implement TPM concept in a phased manner. The case study is also taken to give insight and in implementing TPM successfully in an efficient manner.Keywords
Case Study, Maintenance, OEE, Performance, Product Manufacturing, Total Quality Management.References
- A. T. B. Bon, and N. Karim, “Total productive maintenance application to reduce defects of product,” Journal of Applied Sciences Research, vol. 7, no. 1, p. 11, January 2011.
- F. T. S. Chan, H. C. W. Lau, R. W. L. Ip, H. K. Chan, and S. Kong, “Implementation of total productive maintenance: A case study,” International Journal of Production Economics, Elsevier, vol. 95, no. 1, pp. 71-94, January 2005.
- J. Levitt, Managing Factory Maintenance, Industrial Press Inc., 1996.
- K. E. McKone, R. G. Schroeder, and K. O. Cua,, “Total productive maintenance: A contextual view,” Journal of Operations Management, Elsevier, vol. 17, no. 2, pp. 123-144, January 1999.
- M. W. Wakjira, and A. P. Singh, “Total productive maintenance: A case study in manufacturing industry,” Global Journal of Researches in Engineering Industrial Engineering, Global Journals Inc., vol. 12, no. 1, February 2012.
- S. Ahmed, M. H. Hassan, and Z. Taha, “TPM can go beyond maintenance: Excerpt from a case implementation,” Journal of Quality in Maintenance Engineering, Emerald Group Publishing Ltd., vol. 11, no. 1, pp. 19-42, 2005.
- I. P. S. Ahuja, and J. S. Khamba, “An evaluation of TPM implementation initiatives in an Indian manufacturing enterprise,” Journal of Quality in Maintenance Engineering, Emerald Group Publishing Ltd., vol. 13, no. 4, pp. 338-352, 2007.
- I. P. S. Ahuja, J. S. Khamba, and R. Choudhary, “Improved organizational behavior through strategic total productive maintenance implementation,” ASME International Mechanical Engineering Congress and Exposition, pp. 91-98, 5-10 November 2006, Chicago, Illinois, USA.
- I. P. S. Ahuja, and J. S. Khamba, “An evaluation of TPM initiatives in Indian industry for enhanced manufacturing performance,” International Journal of Quality and Reliability Management, Emerald Group Publishing Ltd., vol. 25, no. 2, pp. 147-172, 2008.