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

Dr. Mamun A A

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

Abdullah Al Mamun * §

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§ Bangladesh University of Engineering and Technology

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

Reference Format

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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

Dr. Mamun A A. 2012. "Numerical Modeling of Surface Roughness in Grinding under Minimum Quantity Lubricants (MQL) using Response Surface Method (RSM)". Global Journal of Research in Engineering GJRE-A Volume 12 (GJRE Volume 12 Issue A5).

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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

Keywords

Grinding MQL temperature

Classification

GJRE-A Classification FOR Code: 091306

091307

Submission ReceivedDecember 12, 2011
Peer Review Double Blind
Handling Editor
Accepted January 1, 2012
Published January 15, 2012

Version of record

v1.2

Issue date

July 20, 2012

Language

English

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Article Matrices

Total Score: 107

Country: Bangladesh

Subject: Global Journal of Research in Engineering

Authors: Dr. Mamun A A, Dhar N R (PhD/Dr. count: 1)

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