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Title: Inverse Method for Identification of Material Parameters Directly from Milling Experiments

Abstract

An identification procedure for the determination of material parameters that are used for the FEM simulation of High Speed Machining processes is proposed. This procedure is based on the coupling of a numerical identification procedure and FEM simulations of milling operations. The experimental data result directly from measurements performed during milling experiments. A special device has been instrumented and calibrated to perform force and torque measures, directly during machining experiments in using a piezoelectric dynamometer and a high frequency charge amplifier. The forces and torques are stored and low pass filtered if necessary, and these data provide the main basis for the identification procedure which is based on coupling 3D FEM simulations of milling and optimization/identification algorithms. The identification approach is mainly based on the Surfaces Response Method in the material parameters space, coupled to a sensitivity analysis. A Moving Least Square Approximation method is used to accelerate the identification process. The material behaviour is described from Johnson-Cook law. A fracture model is also added to consider chip formation and separation. The FEM simulations of milling are performed using explicit ALE based FEM code. The inverse method of identification is here applied on a 304L stainless steel and the firstmore » results are presented.« less

Authors:
; ; ; ;  [1]
  1. FEMTO-ST Institute / Applied Mechanics Laboratory, ENSMM, 26 rue de l'Epitaphe, 25000 Besancon (France)
Publication Date:
OSTI Identifier:
21057078
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 907; Journal Issue: 1; Conference: 10. ESAFORM conference on material forming, Zaragoza (Spain), 18-20 Apr 2007; Other Information: DOI: 10.1063/1.2729601; (c) 2007 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; A CODES; ALGORITHMS; APPROXIMATIONS; COMPUTERIZED SIMULATION; COUPLING; FINITE ELEMENT METHOD; FRACTURES; LEAST SQUARE FIT; MILLING; OPTIMIZATION; PIEZOELECTRICITY; SENSITIVITY ANALYSIS; STAINLESS STEEL-304L; SURFACES; TORQUE; VELOCITY

Citation Formats

Maurel, A., Michel, G., Thibaud, S., Fontaine, M., and Gelin, J. C.. Inverse Method for Identification of Material Parameters Directly from Milling Experiments. United States: N. p., 2007. Web. doi:10.1063/1.2729601.
Maurel, A., Michel, G., Thibaud, S., Fontaine, M., & Gelin, J. C.. Inverse Method for Identification of Material Parameters Directly from Milling Experiments. United States. doi:10.1063/1.2729601.
Maurel, A., Michel, G., Thibaud, S., Fontaine, M., and Gelin, J. C.. Sat . "Inverse Method for Identification of Material Parameters Directly from Milling Experiments". United States. doi:10.1063/1.2729601.
@article{osti_21057078,
title = {Inverse Method for Identification of Material Parameters Directly from Milling Experiments},
author = {Maurel, A. and Michel, G. and Thibaud, S. and Fontaine, M. and Gelin, J. C.},
abstractNote = {An identification procedure for the determination of material parameters that are used for the FEM simulation of High Speed Machining processes is proposed. This procedure is based on the coupling of a numerical identification procedure and FEM simulations of milling operations. The experimental data result directly from measurements performed during milling experiments. A special device has been instrumented and calibrated to perform force and torque measures, directly during machining experiments in using a piezoelectric dynamometer and a high frequency charge amplifier. The forces and torques are stored and low pass filtered if necessary, and these data provide the main basis for the identification procedure which is based on coupling 3D FEM simulations of milling and optimization/identification algorithms. The identification approach is mainly based on the Surfaces Response Method in the material parameters space, coupled to a sensitivity analysis. A Moving Least Square Approximation method is used to accelerate the identification process. The material behaviour is described from Johnson-Cook law. A fracture model is also added to consider chip formation and separation. The FEM simulations of milling are performed using explicit ALE based FEM code. The inverse method of identification is here applied on a 304L stainless steel and the first results are presented.},
doi = {10.1063/1.2729601},
journal = {AIP Conference Proceedings},
number = 1,
volume = 907,
place = {United States},
year = {Sat Apr 07 00:00:00 EDT 2007},
month = {Sat Apr 07 00:00:00 EDT 2007}
}