Modeling of tool wear by diffusion in metal cutting

By A. Molinari, Mohammed Nouari. 2002

169 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Civil and Structural Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/e9ac2daf3b9729b221e93c9a29fa899ef1526723

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. Ramón Quiza Sardiñas
2. Eleno Alfonso Brindis
3. Marcelino Rivas Santana
4. Taylan Altan
5. Tugrul Özel
6. E. Zeren

In Civil and Structural Engineering

1. Ramón Quiza Sardiñas
2. Eleno Alfonso Brindis
3. Marcelino Rivas Santana

In Mechanical Engineering

1. Ramón Quiza Sardiñas
2. Eleno Alfonso Brindis
3. Marcelino Rivas Santana
4. Taylan Altan
5. Tugrul Özel
6. E. Zeren

Citations in the corpus

• Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes (2006, methodology): “, 1991), material removal rate (Ko and Kim, 1998; Chien and Tsai, 2003) or tool life (Molinari and Nouari, 2002) have been used too.”
• Estimation of tool wear in orthogonal cutting using the finite element analysis (2004, background): “Molinari and Nouari[11] recently proposed a new diffusion wear model by considering the contact temperature to be the main parameter controlling the rate of diffusion in the normal direction to the tool–chip interface.”