The link between plasticity parameters and process parameters in orthogonal cutting
(2013) 14th CIRP Conference on Modeling of Machining Operations, CIRP CMMO 2013 In Procedia CIRP 8. p.224-229- Abstract
In the present study the plasticity parameters in the Johnson Cook plasticity model are determined on the basis of process parameters in orthogonal cutting by use of inverse analysis. Previously established links between material parameters and process parameters in the cutting process such as chip thickness ratio, cutting forces, temperatures, deformation zones, is used serve as a starting point in the inverse analysis. The material AISI 4140 is simulated using the model employed in [1], the Johnson Cook parameters being changed within an interval of ±30 %. The inverse analysis is performed using a Kalman filter. The material model for the reference point is validated on the basis of the experimental results in [1], the model being... (More)
In the present study the plasticity parameters in the Johnson Cook plasticity model are determined on the basis of process parameters in orthogonal cutting by use of inverse analysis. Previously established links between material parameters and process parameters in the cutting process such as chip thickness ratio, cutting forces, temperatures, deformation zones, is used serve as a starting point in the inverse analysis. The material AISI 4140 is simulated using the model employed in [1], the Johnson Cook parameters being changed within an interval of ±30 %. The inverse analysis is performed using a Kalman filter. The material model for the reference point is validated on the basis of the experimental results in [1], the model being shown to predict the process parameters with a high level of accuracy. The attempt is made to establish a link for materials having cutting process characteristics that are similar between certain process parameters and the Johnson Cook parameters in order to be able to predict the input parameters to FEM models using experimental data from a cutting process.
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- author
- Agmell, Mathias LU ; Ahadi, Aylin LU and Ståhl, Jan Eric LU
- organization
- publishing date
- 2013-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Inverse analysis, Johnson-Cook, Kalman filter, Orthogonal cutting
- host publication
- 14th CIRP Conference on Modeling of Machining Operations (CIRP CMMO)
- series title
- Procedia CIRP
- volume
- 8
- pages
- 6 pages
- publisher
- Elsevier
- conference name
- 14th CIRP Conference on Modeling of Machining Operations, CIRP CMMO 2013
- conference location
- Turin, Italy
- conference dates
- 2013-06-13 - 2013-06-14
- external identifiers
-
- scopus:84881147148
- ISSN
- 2212-8271
- DOI
- 10.1016/j.procir.2013.06.093
- language
- English
- LU publication?
- yes
- id
- 53bcd7de-3ebe-4a2c-bd44-c6c5807c9c52
- date added to LUP
- 2019-03-22 09:14:21
- date last changed
- 2022-04-10 17:05:37
@inproceedings{53bcd7de-3ebe-4a2c-bd44-c6c5807c9c52, abstract = {{<p>In the present study the plasticity parameters in the Johnson Cook plasticity model are determined on the basis of process parameters in orthogonal cutting by use of inverse analysis. Previously established links between material parameters and process parameters in the cutting process such as chip thickness ratio, cutting forces, temperatures, deformation zones, is used serve as a starting point in the inverse analysis. The material AISI 4140 is simulated using the model employed in [1], the Johnson Cook parameters being changed within an interval of ±30 %. The inverse analysis is performed using a Kalman filter. The material model for the reference point is validated on the basis of the experimental results in [1], the model being shown to predict the process parameters with a high level of accuracy. The attempt is made to establish a link for materials having cutting process characteristics that are similar between certain process parameters and the Johnson Cook parameters in order to be able to predict the input parameters to FEM models using experimental data from a cutting process.</p>}}, author = {{Agmell, Mathias and Ahadi, Aylin and Ståhl, Jan Eric}}, booktitle = {{14th CIRP Conference on Modeling of Machining Operations (CIRP CMMO)}}, issn = {{2212-8271}}, keywords = {{Inverse analysis; Johnson-Cook; Kalman filter; Orthogonal cutting}}, language = {{eng}}, month = {{01}}, pages = {{224--229}}, publisher = {{Elsevier}}, series = {{Procedia CIRP}}, title = {{The link between plasticity parameters and process parameters in orthogonal cutting}}, url = {{http://dx.doi.org/10.1016/j.procir.2013.06.093}}, doi = {{10.1016/j.procir.2013.06.093}}, volume = {{8}}, year = {{2013}}, }