On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations

By Zahia Hessainia, A. Belbah, M. Yallese, Tarek Mabrouki, Jean François Rigal. 2013

237 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/42273cd478afdc34fdcac99571976cd438bff249

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. Ahmed A. D. Sarhan
2. F. Salem
3. M. Sayuti

In Mechanical Engineering

1. M. Sayuti
2. Ahmed A. D. Sarhan
3. F. Salem
4. A. Tiwari
5. Amit Rai Dixit
6. Anuj Kumar Sharma

Citations in the corpus

• Novel uses of SiO2 nano-lubrication system in hard turning process of hardened steel AISI4140 for less tool wear, surface roughness and oil consumption (2014, background): “In machining of hardened steel, the surface roughness is critically affected by tool wear (Hessainia et al., 2013).”