S
Salman Pervaiz
Researcher at Rochester Institute of Technology - Dubai
Publications - 83
Citations - 1352
Salman Pervaiz is an academic researcher from Rochester Institute of Technology - Dubai. The author has contributed to research in topics: Machining & Machinability. The author has an hindex of 15, co-authored 63 publications receiving 894 citations. Previous affiliations of Salman Pervaiz include Royal Institute of Technology & American University of Sharjah.
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Influence of Tool Materials on Machinability of Titanium- and Nickel-Based Alloys: A Review
TL;DR: In this paper, the machinability studies for titanium and nickel alloys are reviewed with reference to cutting tool materials, associated wear mechanisms, failure modes, and novel tooling techniques.
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Analysis of lubrication strategies for sustainable machining during turning of titanium ti-6al-4v alloy
TL;DR: In this article, the effect of six different strategies on the flank tool wear, surface roughness and energy consumption during turning of titanium Ti-6Al-4 V using uncoated carbide tool at certain speed and feed was investigated.
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Recent Advances in the Machining of Titanium Alloys using Minimum Quantity Lubrication (MQL) Based Techniques
TL;DR: In this paper, minimum quantity lubrication (MQL) and minimum quantity cooling (MQCL) based cooling techniques are used as an alternate to conventional flood cooling for machining of titanium alloys.
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An experimental investigation on effect of minimum quantity cooling lubrication (MQCL) in machining titanium alloy (Ti6Al4V)
TL;DR: In this paper, a minimum quantity cooling lubrication (MQCL) system was designed to reduce the deformation and friction in the cutting interface of Ti6Al4V and compared its machining performance with both dry cutting and conventional flood cooling.
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An extensive review of the water consumption and cutting fluid based sustainability concerns in the metal cutting sector
TL;DR: The study concludes the potential solutions to replace conventional cooling methods, and recommends future directions based on their associated current challenges.