The influence of Johnson–Cook material constants on finite element simulation of machining of AISI 316L steel
By Domenico Umbrello, Rachid M'Saoubi, José C. Outeiro. 2007
440 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Civil and Structural Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/30cfaccd9ee988b03bbe47195144b90661191220
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
- I. S. Jawahir
- M. Bäker
- A. Shrot
- José C. Outeiro
- Rachid M'Saoubi
- O. Dillon
- É. Rivière-Lorphèvre
- François Ducobu
In Civil and Structural Engineering
In Mechanical Engineering
- I. S. Jawahir
- O. Dillon
- M. Bäker
- A. Shrot
- José C. Outeiro
- Rachid M'Saoubi
- É. Rivière-Lorphèvre
- François Ducobu
Citations in the corpus
- Determination of Johnson–Cook parameters from machining simulations (2012, methodology): “Semi-empirical constitutive models such as the Johnson-Cook model [4] have been successfully used to simulate the orthogonal cutting process [5, 6].”
- A review of surface integrity in machining and its impact on functional performance and life of machined products (2008, result): “…exponent (lower m) result in higher tensile residual stresses in the near-sub-surface layer, and that m has a stronger effect than that of k. Umbrello et al. (2007) reported recently the results of a sensitivity study about the influence of the constants used in Johnson–Cook’s material…”
- On the importance of the choice of the parameters of the Johnson-Cook constitutive model and their influence on the results of a Ti6Al4V orthogonal cutting model (2017, methodology): “This was already mentionned in the literature review [16,17].”
- On the selection of Johnson-Cook constitutive model parameters for Ti-6Al-4V using three types of numerical models of orthogonal cutting (2015, neutral): “[1–7].”