Nikhil Ranjan Dhar

Mechanical Engineering · 2001–2019

A researcher in the Science corpus: 11 papers; trusts 4 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 42 citations into it; #860 of 8,300 by trust here, #969 by citations
• Electrical and Electronic Engineering — 30 citations into it; #2,687 of 16,539 by trust here, #3,369 by citations
• Biomedical Engineering — 21 citations into it; #3,052 of 10,734 by trust here, #2,734 by citations

Whom Nikhil Ranjan Dhar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chung-Chen Tsao
2. A. Diniz

Who trusts Nikhil Ranjan Dhar overall

1. S. A. Lawal
2. Vishal S. Sharma
3. Imtiaz Ahmed Choudhury
4. Mozammel Mia
5. M.M.A. Khan
6. Yusoff Nukman
7. GurRaj Singh
8. Y. Kaynak
9. M. Sarıkaya
10. M. Nalbant

Papers from Nikhil Ranjan Dhar's perspective

Ordered by how strongly the researchers Nikhil Ranjan Dhar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel
2. Investigations on hard turning with minimal cutting fluid application (HTMF) and its comparison with dry and wet turning
3. Ecological aspects of the cutting fluids and its influence on quantifiable parameters of the cutting processes
4. An optimization method of the machining parameters in high-speed machining of stainless steel using coated carbide tool for best surface finish
5. Cutting conditions for finish turning process aiming: the use of dry cutting
6. Beneficial effects of cryogenic cooling over dry and wet machining on tool wear and surface finish in turning AISI 1060 steel
7. Effect of feed rate, workpiece hardness and cutting edge on subsurface residual stress in the hard turning of bearing steel using chamfer + hone cutting edge geometry
8. Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization
9. Influence of cutting fluid conditions and cutting parameters on surface roughness and tool wear in turning process using Taguchi method
10. A comparison of cryogenic and high pressure emulsion cooling technologies on tool life and chip morphology in Ti-6Al-4V cutting

Their papers

• The influence of minimum quantity of lubrication (MQL) on cutting temperature, chip and dimensional accuracy in turning AISI-1040 steel (2006) — 407 citations
• Beneficial effects of cryogenic cooling over dry and wet machining on tool wear and surface finish in turning AISI 1060 steel (2001) — 215 citations
• Effect of minimum quantity lubrication (MQL) on tool wear and surface roughness in turning AISI-4340 steel (2006) — 580 citations
• An experimental investigation on effect of minimum quantity lubrication in machining AISI 1040 steel (2007) — 301 citations
• The influence of cryogenic cooling on tool wear, dimensional accuracy and surface finish in turning AISI 1040 and E4340C steels (2001) — 155 citations
• 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 (2006) — 171 citations
• Effects of minimum quantity lubrication on turning AISI 9310 alloy steel using vegetable oil­based cutting fluid (2009) — 539 citations
• Multi-objective optimization and life cycle assessment of eco-friendly cryogenic N2 assisted turning of Ti-6Al-4V (2019) — 195 citations
• Optimization of MQL flow rate for minimum cutting force and surface roughness in end milling of hardened steel (HRC 40) (2017) — 137 citations
• Optimization of surface roughness and cutting temperature in high-pressure coolant-assisted hard turning using Taguchi method (2016) — 186 citations
• Cutting temperature, tool wear, surface roughness and dimensional deviation in turning AISI-4037 steel under cryogenic condition (2007) — 274 citations