Tool wear characterizations in finish turning of AISI 1045 carbon steel for MQCL conditions

By R. Maruda, G. Królczyk, E. Feldshtein, P. Niesłony, B. Tyliszczak, F. Pušavec. 2017

163 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/313ade9b39ee842612dd3e2fdd1f07e1f0147350

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. Munish Kumar Gupta
2. Mustafa Kuntoğlu
3. D. Pimenov
4. Andrés Bustillo
5. Vishal S. Sharma
6. Szymon Wojciechowski

In Mechanical Engineering

1. D. Pimenov
2. Munish Kumar Gupta
3. Mustafa Kuntoğlu
4. Andrés Bustillo
5. Vishal S. Sharma
6. Szymon Wojciechowski

Citations in the corpus

• Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review (2022, background): “Also, the tool wear mechanism and phenomena are very important to noticed during machining operations (Maruda et al., 2015, 2016b, 2017b).”