A Review on Minimum Quantity Lubrication for Machining Processes

By Vishal S. Sharma, GurRaj Singh, Knut Sørby. 2015

269 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/7a5d2502489285dd809695ac2b659a8f21335f8c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Min Yang
2. Changhe Li
3. Yanbin Zhang
4. Munish Kumar Gupta
5. I. Al-Samarrai
6. Stephen T. Newman
7. Zafar Said
8. Vishal S. Sharma

In Electrical and Electronic Engineering

1. Min Yang
2. Changhe Li
3. Munish Kumar Gupta
4. Yanbin Zhang
5. I. Al-Samarrai
6. Stephen T. Newman
7. Zafar Said
8. Vishal S. Sharma

In Mechanical Engineering

1. Min Yang
2. Changhe Li
3. Yanbin Zhang
4. Munish Kumar Gupta
5. Runze Li
6. Teng Gao
7. Xiaoming Wang
8. I. Al-Samarrai

Citations in the corpus

• Electrostatic atomization minimum quantity lubrication machining: from mechanism to application (2022, background): “[52, 59] Dry None Worst Worst Best General Yes”
• Machining Parameters Optimization of Titanium Alloy using Response Surface Methodology and Particle Swarm Optimization under Minimum-Quantity Lubrication Environment (2016, background): “Out of these, MQL shows significant potential in reducing the machining cost, cutting fluid quantity as well as quality of the surface produced after machining [10].”
• Hybrid cryogenic MQL for improving tool life in machining of Ti-6Al-4V titanium alloy (2019, background): “Promising machining performance has been shown in precision machining of Ti-6Al-4V with MQL at high cutting speed and low feed conditions [20].”