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Modelling and simulation of Internal Traverse Grinding: bridging meso- and macro-scale simulations

Holtermann, Raphael ; Menzel, Andreas LU ; Schumann, Sebastian ; Biermann, Dirk ; Siebrecht, Tobias and Kersting, Petra (2015) In Production Engineering 9(4). p.451-463
Abstract
In this work, we focus on the computational bridging between the meso- and macro-scale in the context of the hybrid modelling of Internal Traverse Grinding with electro-plated cBN wheels. This grinding process satisfies the manufacturing industry demands for a high rate of material removal along with a high surface quality while minimising the number of manufacturing processes invoked. To overcome the major problem of the present machining process, namely a highly concentrated thermal load which can result in micro-structural damage and dimension errors of the workpiece, a hybrid simulation framework is currently under development. The latter consists of three components. First, a kinematic simulation that models the grinding wheel surface... (More)
In this work, we focus on the computational bridging between the meso- and macro-scale in the context of the hybrid modelling of Internal Traverse Grinding with electro-plated cBN wheels. This grinding process satisfies the manufacturing industry demands for a high rate of material removal along with a high surface quality while minimising the number of manufacturing processes invoked. To overcome the major problem of the present machining process, namely a highly concentrated thermal load which can result in micro-structural damage and dimension errors of the workpiece, a hybrid simulation framework is currently under development. The latter consists of three components. First, a kinematic simulation that models the grinding wheel surface based on experimentally determined measurements is used to calculate the transient penetration history of every grain intersecting with the workpiece. Secondly, an h-adaptive, plane-strain finite element model incorporating elasto-plastic work hardening, thermal softening and ductile damage is used to simulate the proximity of one cBN grain during grinding and to capture the complex thermo-mechanical material response on a meso-scale. For the third component of the framework, the results from the preceding two simulation steps are combined into a macro-scale process model that shall in the future be used to improve manufacturing accuracy and to develop error compensation strategies accordingly. To achieve this objective, a regression analysis scheme is incorporated to approximate the influence of the several cutting mechanisms on the meso-scale and to transfer the homogenisation-based thermo-mechanical results to the macro-scale. (Less)
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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
h-Adaptive remeshing, cBN, Grinding, 100Cr6(AISI 52100), Finite element method
in
Production Engineering
volume
9
issue
4
pages
451 - 463
publisher
Springer
external identifiers
  • scopus:84943664461
  • wos:000420262700003
ISSN
0944-6524
DOI
10.1007/s11740-015-0613-z
language
English
LU publication?
yes
id
47eadad5-cd00-482d-ab93-796255315ecd (old id 8521506)
date added to LUP
2016-04-01 09:58:15
date last changed
2022-01-25 18:32:23
@article{47eadad5-cd00-482d-ab93-796255315ecd,
  abstract     = {{In this work, we focus on the computational bridging between the meso- and macro-scale in the context of the hybrid modelling of Internal Traverse Grinding with electro-plated cBN wheels. This grinding process satisfies the manufacturing industry demands for a high rate of material removal along with a high surface quality while minimising the number of manufacturing processes invoked. To overcome the major problem of the present machining process, namely a highly concentrated thermal load which can result in micro-structural damage and dimension errors of the workpiece, a hybrid simulation framework is currently under development. The latter consists of three components. First, a kinematic simulation that models the grinding wheel surface based on experimentally determined measurements is used to calculate the transient penetration history of every grain intersecting with the workpiece. Secondly, an h-adaptive, plane-strain finite element model incorporating elasto-plastic work hardening, thermal softening and ductile damage is used to simulate the proximity of one cBN grain during grinding and to capture the complex thermo-mechanical material response on a meso-scale. For the third component of the framework, the results from the preceding two simulation steps are combined into a macro-scale process model that shall in the future be used to improve manufacturing accuracy and to develop error compensation strategies accordingly. To achieve this objective, a regression analysis scheme is incorporated to approximate the influence of the several cutting mechanisms on the meso-scale and to transfer the homogenisation-based thermo-mechanical results to the macro-scale.}},
  author       = {{Holtermann, Raphael and Menzel, Andreas and Schumann, Sebastian and Biermann, Dirk and Siebrecht, Tobias and Kersting, Petra}},
  issn         = {{0944-6524}},
  keywords     = {{h-Adaptive remeshing; cBN; Grinding; 100Cr6(AISI 52100); Finite element method}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{451--463}},
  publisher    = {{Springer}},
  series       = {{Production Engineering}},
  title        = {{Modelling and simulation of Internal Traverse Grinding: bridging meso- and macro-scale simulations}},
  url          = {{http://dx.doi.org/10.1007/s11740-015-0613-z}},
  doi          = {{10.1007/s11740-015-0613-z}},
  volume       = {{9}},
  year         = {{2015}},
}