Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites

By Rajesh Kumar Bhushan. 2013

378 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/30813c58b08152f1389d4fc20cb2e7c4d12e1de1

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Guojian He
2. Lin Gu
3. Jipeng Chen

In Mechanical Engineering

1. Guojian He
2. Lin Gu
3. Jipeng Chen

Citations in the corpus

• Parametric modeling and optimization for wire electrical discharge machining of Inconel 718 using response surface methodology (2015, neutral): “In addition, the values of experimental standard deviation and standard uncertainty have been calculated for response parameters to depict their variability over a repeated set of experiments [40].”
• A review on conventional and nonconventional machining of SiC particle-reinforced aluminium matrix composites (2020, background): “Carbide insert [123] Al 7075 15% (mass fraction) Cutting speed 90 m/min, feed rate 0.”