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Production Engineering
Erschienen in: Production Engineering 3/2015

01.08.2015 | Computer Aided Engineering

Towards the identification of heat induction in chip removing processes via an optimal control approach

A simplified stationary test case for drilling processes

verfasst von: Norman Lang, Jens Saak, Peter Benner, Steffen Ihlenfeldt, Steffen Nestmann, Klaus Schädlich

Erschienen in: Production Engineering | Ausgabe 3/2015

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Abstract

This paper presents a linear-quadratic regulator (LQR) approach for solving inverse heat conduction problems (IHCPs) arising in production processes like chip removing or drilling. The inaccessibility of the processed area does not allow the measuring of the induced temperature. Hence the reconstruction of the heat source based on given measurements at accessible regions becomes necessary. Therefore, a short insight into the standard treatment of an IHCP and the related LQR design is provided. The main challenge in applying LQR control to the IHCP is to solve the differential Riccati equation. Here, a model order reduction approach is used in order to reduce the system dimension. The numerical results will show the accuracy of the approach for a problem based on data given by practical measurements.
Vorheriger Artikel Flow stress and temperature considerations for orthogonal cutting of an aluminum-alloyed UHC-steel
Nächster Artikel An inventory model for deteriorating items under trapezoidal type demand and controllable deterioration rate

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Metadaten
Titel
Towards the identification of heat induction in chip removing processes via an optimal control approach
A simplified stationary test case for drilling processes
verfasst von
Norman Lang
Jens Saak
Peter Benner
Steffen Ihlenfeldt
Steffen Nestmann
Klaus Schädlich
Publikationsdatum
01.08.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Production Engineering / Ausgabe 3/2015
Print ISSN: 0944-6524
Elektronische ISSN: 1863-7353
DOI
https://doi.org/10.1007/s11740-015-0608-9

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