Mozammel Mia

Mechanical Engineering · 2016–2021

A researcher in the Science corpus: 17 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mozammel Mia trusts overall

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

  1. Chung-Chen Tsao
  2. Nikhil Ranjan Dhar
  3. M. Sarıkaya
  4. Munish Kumar Gupta
  5. Vishal S. Sharma
  6. M. Hadad
  7. A. Diniz
  8. Ș. Karabulut
  9. Ahmed A. D. Sarhan
  10. A. Güllü

Who trusts Mozammel Mia overall

  1. Munish Kumar Gupta
  2. Ç. Yıldırım
  3. M. Sarıkaya
  4. T. Kıvak
  5. Navneet Khanna

Papers from Mozammel Mia's perspective

Ordered by how strongly the researchers Mozammel Mia 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. An optimization method of the machining parameters in high-speed machining of stainless steel using coated carbide tool for best surface finish
  3. Dry machining of Inconel 718, workpiece surface integrity
  4. Effects of cooling air temperature on cryogenic machining of Ti–6Al–4V alloy
  5. Cutting conditions for finish turning process aiming: the use of dry cutting
  6. 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
  7. Influence of cutting fluid conditions and cutting parameters on surface roughness and tool wear in turning process using Taguchi method
  8. A comparison of cryogenic and high pressure emulsion cooling technologies on tool life and chip morphology in Ti-6Al-4V cutting
  9. Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel
  10. Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization

Their papers