Importance of the Johnson-Cook Material Model Parameters in Simulation Studies of the Cutting Process

Computer simulations of various manufacturing processes have become increasingly common in recent years. In machining, their primary goal is to rationalize the planning of experimental studies and to observe phenomena occurring in the cutting zone that cannot be observed otherwise. Another significant aspect is the ability to numerically verify many different process variants before conducting an experiment. Simulations are run based on an appropriate material model describing the tribomechanical behaviour of the material. Typically, this is the Johnson-Cook model, represented by five numerical parameters. However, to properly select the J-C model for calculations, one must understand how individual parameters affect the final simulation outcome. This study shows that it is possible to select many different sets of J-C model parameters that meet the equation conditions but yield different simulation results. Therefore, this paper shows the influence of individual numerical parameters of the J-C model on the simulation results, such as cutting forces, temperature distribution, chip morphology, etc. The tests and analyses presented in this paper were performed for AISI 321 austenitic steel.

Institutions

Publication Details

Journal
International Journal for Engineering Modelling
Published
2025-03-04
DOI
https://doi.org/10.31534/engmod.2025.1.ri.03v
Primary Topic
Engineering Technology and Methodologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Importance of the Johnson-Cook Material Model Parameters in Simulation Studies of the Cutting Process

International Journal for Engineering Modelling
Engineering Technology and Methodologies
article

Importance of the Johnson-Cook Material Model Parameters in Simulation Studies of the Cutting Process

article en

Abstract

Computer simulations of various manufacturing processes have become increasingly common in recent years. In machining, their primary goal is to rationalize the planning of experimental studies and to observe phenomena occurring in the cutting zone that cannot be observed otherwise. Another significant aspect is the ability to numerically verify many different process variants before conducting an experiment. Simulations are run based on an appropriate material model describing the tribomechanical behaviour of the material. Typically, this is the Johnson-Cook model, represented by five numerical parameters. However, to properly select the J-C model for calculations, one must understand how individual parameters affect the final simulation outcome. This study shows that it is possible to select many different sets of J-C model parameters that meet the equation conditions but yield different simulation results. Therefore, this paper shows the influence of individual numerical parameters of the J-C model on the simulation results, such as cutting forces, temperature distribution, chip morphology, etc. The tests and analyses presented in this paper were performed for AISI 321 austenitic steel.

International Journal for Engineering ModellingVol. 38(1)
Opole University of Technology (PL)
Zero hunger
Openalex Percentile: Top 95%
Engineering Technology and Methodologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.