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Results for “"Nikhil Ranjan Dhar"”

16+ results

Effect of minimum quantity lubrication (MQL) on tool wear and surface roughness in turning AISI-4340 steel

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Nikhil Ranjan Dhar, M. Kamruzzaman, Mahiuddin Ahmed

Journal: Journal of Materials Processing TechnologyYear: 2005Citations: 549
Physical Sciences
Engineering
Mechanical Engineering
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Effects of minimum quantity lubrication on turning AISI 9310 alloy steel using vegetable oil-based cutting fluid

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Mohammad Muhshin Aziz Khan, M.A.H. Mithu, Nikhil Ranjan Dhar

Journal: Journal of Materials Processing TechnologyYear: 2009Citations: 483
Physical SciencesEngineeringMechanical Engineering
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The influence of minimum quantity of lubrication (MQL) on cutting temperature, chip and dimensional accuracy in turning AISI-1040 steel

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Nikhil Ranjan Dhar, Moidul Islam, Sumaiya Islam, M.A.H. Mithu

Journal: Journal of Materials Processing TechnologyYear: 2005Citations: 347
Physical SciencesEngineeringMechanical Engineering
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An experimental investigation on effect of minimum quantity lubrication in machining AISI 1040 steel

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Nikhil Ranjan Dhar, Mansur Ahmed, Sumaiya Islam

Journal: International Journal of Machine Tools and ManufactureYear: 2006Citations: 283
Physical SciencesEngineeringMechanical Engineering
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Cutting temperature, tool wear, surface roughness and dimensional deviation in turning AISI-4037 steel under cryogenic condition

Verified

Nikhil Ranjan Dhar, M. Kamruzzaman

Journal: International Journal of Machine Tools and ManufactureYear: 2006Citations: 250
Physical SciencesEngineeringMechanical Engineering
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Multi-objective optimization and life cycle assessment of eco-friendly cryogenic N2 assisted turning of Ti-6Al-4V

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Mozammel Mia, Munish Kumar Gupta, Jose Adolfo Lozano, Diego Carou et al.

Journal: Journal of Cleaner ProductionYear: 2018Citations: 218

Modern manufacturing industries thrive for energy efficient, clean and sustainable machining processes. However, achieving these objectives becomes difficult especially in machining Ti-6Al-4V as it retains its properties at high temperature. Cryogenic liquid nitrogen (LN2) is a clean machining envir...

Physical SciencesEngineeringMechanical Engineering
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Prediction of surface roughness in hard turning under high pressure coolant using Artificial Neural Network

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Mozammel Mia, Nikhil Ranjan Dhar

Journal: MeasurementYear: 2016Citations: 204
Physical SciencesEngineeringMechanical Engineering
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Optimization of surface roughness and cutting temperature in high-pressure coolant-assisted hard turning using Taguchi method

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Mozammel Mia, Nikhil Ranjan Dhar

Journal: The International Journal of Advanced Manufacturing TechnologyYear: 2016Citations: 202
Physical SciencesEngineeringMechanical Engineering
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Performance evaluation of minimum quantity lubrication by vegetable oil in terms of cutting force, cutting zone temperature, tool wear, job dimension and surface finish in turning AISI-1060 steel

Verified

Mohammad Muhshin Aziz Khan, Nikhil Ranjan Dhar

Journal: Journal of Zhejiang University. Science AYear: 2006Citations: 155

In all machining processes, tool wear is a natural phenomenon and it leads to tool failure. The growing demands for high productivity of machining need use of high cutting velocity and feed rate. Such machining inherently produces high cutting temperature, which not only reduces tool life but also i...

Physical SciencesEngineeringMechanical Engineering
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Optimization of MQL flow rate for minimum cutting force and surface roughness in end milling of hardened steel (HRC 40)

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Mozammel Mia, Mahmood Al Bashir, Md Awal Khan, Nikhil Ranjan Dhar

Journal: The International Journal of Advanced Manufacturing TechnologyYear: 2016Citations: 134
Physical SciencesEngineeringMechanical Engineering
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Response surface and neural network based predictive models of cutting temperature in hard turning

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Mozammel Mia, Nikhil Ranjan Dhar

Journal: Journal of Advanced ResearchYear: 2016Citations: 120

The present study aimed to develop the predictive models of average tool-workpiece interface temperature in hard turning of AISI 1060 steels by coated carbide insert. The Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to predict the temperature in respect of cut...

Physical SciencesEngineeringMechanical EngineeringOpen Access
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Effects of duplex jets high-pressure coolant on machining temperature and machinability of Ti-6Al-4V superalloy

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Mozammel Mia, Nikhil Ranjan Dhar

Journal: Journal of Materials Processing TechnologyYear: 2017Citations: 113
Physical SciencesEngineeringMechanical Engineering
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Study of surface roughness and cutting forces using ANN, RSM, and ANOVA in turning of Ti-6Al-4V under cryogenic jets applied at flank and rake faces of coated WC tool

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Mozammel Mia, Md Awal Khan, Nikhil Ranjan Dhar

Journal: The International Journal of Advanced Manufacturing TechnologyYear: 2017Citations: 113
Physical SciencesEngineeringMechanical Engineering
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Machining of AISI 4140 steel under cryogenic cooling—tool wear, surface roughness and dimensional deviation

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Nikhil Ranjan Dhar, S. Paul, Angshuman Chattopadhyay

Journal: Journal of Materials Processing TechnologyYear: 2002Citations: 110
Physical SciencesEngineeringMechanical Engineering
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Effect of time-controlled MQL pulsing on surface roughness in hard turning by statistical analysis and artificial neural network

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Mozammel Mia, Mashrat Hasan Razi, Istiaq Ahmad, Rafid Mostafa et al.

Journal: The International Journal of Advanced Manufacturing TechnologyYear: 2017Citations: 95
Physical SciencesEngineeringMechanical Engineering
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