Experimental Investigation of Surface Roughness and Temperature on Surface Grinding of HC-Hcr Steel Using Dry and MQL  Techniques

Experimental Investigation of Surface Roughness and Temperature on Surface Grinding of HC-Hcr Steel Using Dry and MQL Techniques

Dr Sivanaga MalleswaraRao

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Ch.N.V.Jaswanth

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M.RajasekharaRao

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Ch.V.S.ParameswaraRao

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S.S.N.M.Rao

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Jawaharlal Nehru Technological University Anantapur

Experimental Investigation of Surface Roughness and Temperature on Surface Grinding of HC-Hcr Steel Using Dry and MQL Techniques

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Abstract

In machining of metals, application of cutting fluids improves machinability and tool life due to their cooling and lubrication characteristics. The traditional methods of cutting fluid applications may create problems for the operator and not Eco-friendly. Minimum quantity lubrication (MQL) Technique can minimize these problems to a considerable extent. The use of nano-material and nanotechnology can improve the performance of cutting fluids. In the present work, an attempt has been made with MQL to investigate the performance of vegetable oil along with different volume proportions of Al2O3 nanoparticles on surface grinding of HC-HCr workpiece. The influence of oil is evaluated regarding surface finish and Temperature of the workpiece.

References

20 Cites in Article

Reference Format

V Kaufui,Omar Wong,Leon De Applications of Nanofluids: Current and Future.
Emel Kuram,Babur Ozcelik,Erhan Demirbas Environmentally Friendly Machining: Vegetable Based Cutting Fluids.
R Srikant,Mms Prasad,M Amrita,A Sitaramaraju,P Krishna (2014). Nanofluids as a potential solution for Minimum Quantity Lubrication: A review.
Vaibhav Koushik,A,Narendra Shetty,S Ramprasad,C (2012). Vegetable Oil-Based Metal Working Fluids-A Review.
S Alves,Jfg Oliveira (2008). Vegetable based cutting fluid-an environmental alternative to grinding process.
Bin Shen,Albert Shih,Simon Tung (2008). Application of Nanofluids in Minimum Quantity Lubrication Grinding.
S Ramana,K Ramji,B Satyanarayana (2010). Studies on the Behaviour of the Green Particulate Fluid Lubricant in Its Nano Regime when Machining AISI 1040 Steel.
Nihat Tosun,Hasim Pihtili (2010). Gray relational analysis of performance characteristics in MQL milling of 7075 Al alloy.
P-H Lee,H Chung,S Lee (2011). Optimization of micro-grinding process with compressed air using response surface methodology.
Süleyman Neşeli,İlhan Asiltürk,Levent Çelik (2012). Determining the optimum process parameter for grinding operations using robust process.
Mohammadjafar Hadad,Mostafa Hadi (2013). An investigation on surface grinding of hardened stainless steel S34700 and aluminum alloy AA6061 using minimum quantity of lubrication (MQL) technique.
Nageswara Rao,D Vamsikrishna,P (2007). The influence of solid lubricant particle size on machining parameters in turning.
Nageswara Rao,D,Vamsi Krishna,P (2008). Performance profiling of boric acid as a lubricant in Machining.
A Vafaeesefat (2009). Optimum creep feed grinding process conditions for Rene 80 superalloy using neural network.
B Shen,A Shih,S Tung,M Hunter (2008). Application of nanofluids in minimum quantity lubrication grinding.
Rodrigo Panosso Zeilmann,Walter Weingaertner (2006). Analysis of temperature during drilling of Ti6Al4 with a minimal quantity of lubricant.
Domnita Fratila,Cristian Caizar (2011). Application of Taguchi method to selection of optimal lubrication and cutting conditions in face milling of AlMg3.
D Montgomery (2001). Design and analysis of experiments.
Bhuvnesh Bhardwaj,Rajesh Kumar,K Pradeep,Singh (2014). Surface roughness prediction model for turning of AISI 1019 steel using response surface methodology and Box-Cox transformation.
S Newman,A Nassehi,R Imani-Asrai,V Dhokia (2012). Energy efficient process planning for CNC machining.

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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 Sivanaga MalleswaraRao. 2018. \u201cExperimental Investigation of Surface Roughness and Temperature on Surface Grinding of HC-Hcr Steel Using Dry and MQL Techniques\u201d. Global Journal of Research in Engineering - A : Mechanical & Mechanics GJRE-A Volume 17 (GJRE Volume 17 Issue A7).

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GJRE Volume 17 Issue A7

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-A Classification FOR Code: 091399

Submission ReceivedDecember 6, 2016
Peer Review Double Blind
Handling Editor
Accepted January 3, 2017
Published January 15, 2017

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v1.2

Issue date

January 22, 2018

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Article Matrices

Total Score: 104

Country: India

Subject: Global Journal of Research in Engineering - A : Mechanical & Mechanics

Authors: Ch.N.V.Jaswanth, M.RajasekharaRao, Ch.V.S.ParameswaraRao, S.S.N.M.Rao (PhD/Dr. count: 0)

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