Numerical Modeling of Surface Roughness in Grinding under Minimum Quantity Lubricants (MQL) using Response Surface Method (RSM)

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Abdullah Al Mamun
Abdullah Al Mamun
σ
Dr. Mamun A A
Dr. Mamun A A
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Dhar N R
Dhar N R
α Bangladesh University of Engineering and Technology Bangladesh University of Engineering and Technology

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Numerical Modeling of Surface Roughness in Grinding under Minimum Quantity Lubricants (MQL) using Response Surface Method (RSM)

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Abstract

Grinding is primarily a finishing operation where high temperature at the wheel-work interface adversely affects the physical properties of the ground surface in terms of induced surface and sub surface residual stress, surface roughness, micro cracks and dimensional deviation. Conventional application of cutting fluid often cannot control the high temperature generated especially during high speed grinding. Besides, environmental pollution, effect on human health and higher cost has been a great concern of researchers and industries. One of the possible solutions of such problems is the Minimum Quantity Lubricants (MQL) technique which has both economical and environmental advantages. The present investigation is to evaluate the influence of MQL on chip formation mode and surface roughness in grinding AISI 1045 steel with CBN wheel at different level of process parameters. The result indicated that, MQL enables the reduction in surface roughness and more favorable chip formation mode compared to dry grinding.

References

26 Cites in Article
  1. M Shaw,J Piggtt,L Richardson (1951). Effect of Cutting Fluid upon Chip-Tool Interface Temperature.
  2. S Paul,N Dhar,A Chattopadhyay (2000). Beneficial Effects of Cryogenic Cooling over Dry and Wet Machining on Tool Wear and Surface Finish in Turning AISI 1060 Steel.
  3. N Dhar,M Kamruzzaman,Mahiuddin Ahmed (2006). Effect of minimum quantity lubrication (MQL) on tool wear and surface roughness in turning AISI-4340 steel.
  4. C Cassin,G Boothroyd (1965). Lubrication Action of Cutting Fluids.
  5. M Mazurkiewicz,Z Kubala,J Chow (1989). Metal Machining With High-Pressure Water-Jet Cooling Assistance—A New Possibility.
  6. A Alexander,A Varadarajan,P Philip (1998). Hard Turning with Minimum Cutting Fluid: A Viable Green Alternative on the Shop Floor.
  7. Juliana Tosato,Carolina Herpich,Ernesto Leal-Junior,Fabiano Politti,Daniela Biasotto-Gonzalez (1997). Influence of Phototherapy on Thermographic Images and Pain in Individuals with Temporomandibular Disorder: Protocol for a Randomized, Placebo-Controlled, Double-Blind Clinical Trial.
  8. A Anon (2003). Performance of Metalworking Fluids in a Grinding System.
  9. V Derflinger,H Brändle,H Zimmermann (1999). New hard/lubricant coating for dry machining.
  10. E Brinksmeier,J Eckebrecht (1994). Possibilities for the disposal of grinding swarf.
  11. U Heisel,D Lutz,R Wassmer,U Walter (1998). The Minimum Quantity Lubricant Technique and its Application in the Cutting Process.
  12. D Hafenbraedl,S Malkin (2001). Technology Environmentally Correct for Intern Cylindrical Grinding.
  13. F Itoigawa,T Childs,T Nakamura,W Belluco (2006). Effects and mechanisms in minimal quantity lubrication machining of an aluminum alloy.
  14. M Rahman,M Khan,N Dhar (2009). An Experimental Investigation into the Effect of Minimum Quality Lubricant on Cutting Temperature for machinability of AISI 9310 Steel Alloy.
  15. N Dhar,M Hossain,M Kamruzzaman (2005). MQL applications in grinding of 16mncr5 steel: A comparison with wet and dry grinding.
  16. L Silva,E Bianchi,R Catai,R Fusse,T Franc -A,P Aguiar (2007). Analysis of surface integrity for minimum quantity lubricant-MQL in grinding.
  17. T Tawakoli,M Hadad,M Sadeghi,A Danesh,S Stockert,A Rasifard (2009). An experimental investigation of the effects of workpiece and grinding parameters on minimum quantity lubrication-MQL grinding.
  18. L Barczak,A Batako,M Morgan (2010). A study of plane surface grinding under minimum quantity lubrication (MQL) conditions.
  19. P Agarwal Sanjay,Venkateswara,Rao (2005). A probabilistic approach to predict surface roughness in ceramic grinding.
  20. C Guo,S Malkin (1995). Analysis of Transient Temperatures in Grinding.
  21. A Mamalis,D Manolakos,A Markopoulos,J Kun�drk,K Gy�ni (2003). Thermal Modelling of Surface Grinding Using Implicit Finite Element Techniques.
  22. Jing Li,Jing Li (2005). Temperature distribution in workpiece during scratching and grinding.
  23. D Anderson,A Warkentin,R Bauer (2008). Comparison of numerically and analytically predicted contact temperatures in shallow and deep dry grinding with infrared measurements.
  24. D Anderson,A Warkentin,R Bauer (2008). Experimental validation of numerical thermal models for dry grinding.
  25. W Rowe (2001). Thermal analysis of high efficiency deep grinding.
  26. A Batako,W Rowe,M Morgan (2005). Temperature measurement in high efficiency deep grinding.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Abdullah Al Mamun. 2012. \u201cNumerical Modeling of Surface Roughness in Grinding under Minimum Quantity Lubricants (MQL) using Response Surface Method (RSM)\u201d. Global Journal of Research in Engineering - A : Mechanical & Mechanics GJRE-A Volume 12 (GJRE Volume 12 Issue A5): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Version of record

v1.2

Issue date

July 20, 2012

Language
en
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Grinding is primarily a finishing operation where high temperature at the wheel-work interface adversely affects the physical properties of the ground surface in terms of induced surface and sub surface residual stress, surface roughness, micro cracks and dimensional deviation. Conventional application of cutting fluid often cannot control the high temperature generated especially during high speed grinding. Besides, environmental pollution, effect on human health and higher cost has been a great concern of researchers and industries. One of the possible solutions of such problems is the Minimum Quantity Lubricants (MQL) technique which has both economical and environmental advantages. The present investigation is to evaluate the influence of MQL on chip formation mode and surface roughness in grinding AISI 1045 steel with CBN wheel at different level of process parameters. The result indicated that, MQL enables the reduction in surface roughness and more favorable chip formation mode compared to dry grinding.

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Numerical Modeling of Surface Roughness in Grinding under Minimum Quantity Lubricants (MQL) using Response Surface Method (RSM)

Dr. Mamun A A
Dr. Mamun A A
Dhar N R
Dhar N R

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