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The Link Between Plasticity Parameters and the Process Parameters in Orthogonal Cutting

Agmell, Mathias LU ; Ahadi, Aylin LU and Ståhl, Jan-Eric LU (2013) 14th CIRP Conference on Modeling of Machining Operations (CIRP CMMO) In [Host publication title missing]
Abstract
In this study the plasticity parameter in the Johnson Cook plasticity model are deter-mined from the process parameters in orthogonal cutting by inverse analysis. Previous-ly established link between the material parameters and the process parameters in the cutting process such as chip thickness ratio, cutting forces, temperature, deformation zones, is used as a starting point in the inverse analysis. The material that is simulated is AISI 4140 where the model from [1] is used and the Johnson Cook parameters are changed in the interval ±30 %. The inverse analysis is performed using a Kalman filter. The material model for the reference point was validated to experimental results in [1], showing that the model is capable of predicting the... (More)
In this study the plasticity parameter in the Johnson Cook plasticity model are deter-mined from the process parameters in orthogonal cutting by inverse analysis. Previous-ly established link between the material parameters and the process parameters in the cutting process such as chip thickness ratio, cutting forces, temperature, deformation zones, is used as a starting point in the inverse analysis. The material that is simulated is AISI 4140 where the model from [1] is used and the Johnson Cook parameters are changed in the interval ±30 %. The inverse analysis is performed using a Kalman filter. The material model for the reference point was validated to experimental results in [1], showing that the model is capable of predicting the process parameters with good accu-racy. This is an attempt to establish a link between selected process parameters and the Johnson Cook parameters for materials with similar cutting process characteristics in order to be able to predict the input parameters to FEM models using experimental data from a cutting process. (Less)
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Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
pages
6 pages
publisher
Elsevier
conference name
14th CIRP Conference on Modeling of Machining Operations (CIRP CMMO)
language
English
LU publication?
yes
id
01965ab2-6aa7-4a37-8fef-e41a8903228d (old id 3734701)
date added to LUP
2013-05-06 10:03:24
date last changed
2016-09-23 15:15:41
@misc{01965ab2-6aa7-4a37-8fef-e41a8903228d,
  abstract     = {In this study the plasticity parameter in the Johnson Cook plasticity model are deter-mined from the process parameters in orthogonal cutting by inverse analysis. Previous-ly established link between the material parameters and the process parameters in the cutting process such as chip thickness ratio, cutting forces, temperature, deformation zones, is used as a starting point in the inverse analysis. The material that is simulated is AISI 4140 where the model from [1] is used and the Johnson Cook parameters are changed in the interval ±30 %. The inverse analysis is performed using a Kalman filter. The material model for the reference point was validated to experimental results in [1], showing that the model is capable of predicting the process parameters with good accu-racy. This is an attempt to establish a link between selected process parameters and the Johnson Cook parameters for materials with similar cutting process characteristics in order to be able to predict the input parameters to FEM models using experimental data from a cutting process.},
  author       = {Agmell, Mathias and Ahadi, Aylin and Ståhl, Jan-Eric},
  language     = {eng},
  pages        = {6},
  publisher    = {ARRAY(0x8616620)},
  series       = {[Host publication title missing]},
  title        = {The Link Between Plasticity Parameters and the Process Parameters in Orthogonal Cutting},
  year         = {2013},
}