Surface roughness prediction by factorial design of experiments in turning processes

By I. P. Arbizu, C. L. Pérez. 2003

217 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/e00d2ab218ef331148ad8cb291352b852450e54a

How researchers see this paper

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

In Industrial and Manufacturing Engineering

1. Y. Şahin
2. Mehmet Çunkas
3. Ilhan Asiltürk
4. A. Motorcu

In Mechanical Engineering

1. Y. Şahin
2. Mehmet Çunkas
3. Ilhan Asiltürk
4. A. Motorcu

Citations in the corpus

• Surface roughness model in machining hardened steel with cubic boron nitride cutting tool (2008, background): “Surface finish is a very important aspect for designing mechanical elements and is also presented as a quality indicator of manufacturing processes which is necessary for proper part geometries [6].”
• Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method (2011, methodology): “(1) (Arbizu & Pérez, 2003).”