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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}
}
  • An identification procedure for the determination of material parameters that are used for the FEM simulation of milling 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 measurements, 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 themore » 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 identification method is here applied on a 304L stainless steel and the first results are presented.« less
  • This work proposes to use a special upsetting test and an optimal direct extrusion one performed to identify the constitutive equation of the material behavior and the friction coefficients directly from the load-stroke curves. The proposed friction test has the advantage to permit to take into account contact phenomena corresponding to new specimen surfaces created during a real bulk cold forming process. A lot of numerical simulations are made with the commercial software FORGE2 in order to study the influence of some design and process parameters. Different friction laws will be identified starting from the classical Coulomb and Tresca ones.more » All the parameter identifications are made using the Inverse Analysis principle.« less
  • This is the second of two papers on the response functions and collective modes of /sup 3/He-B in a strong magnetic field. Here we compare the theory developed in the first paper (R. S. Fishman and J. A. Sauls, Phys. Rev. B 33, 6068 (1986)) with the susceptibility data of Scholz and Hoyt et al. and with the collective-mode data of Shivaram et al. at the lowest pressures, where strong-coupling corrections to the BCS free energy are known to be negligible. In principle this comparison yields new results for some of the material parameters of liquid /sup 3/He. Determinations ofmore » these material parameters are important for testing the consistency of quasiclassical theory and the interpretation of different measurable properties of /sup 3/He, and perhaps future microscopic theories of quantum liquids. The material parameters extracted from these two different data bases are in serious disagreement, and cannot be reconciled even with radically different empirical temperature scales. We do, however, find that our determination of the f-wave interaction at papprox. =0 bar agrees with that obtained by Meisel et al. who analyze the zero-field squashing-mode data.« less
  • This paper deals with the identification of material parameters using an inverse strategy. In the classical methods, the inverse technique is generally coupled with a finite element code which leads to a long computing time. In this work an inverse strategy coupled with an ANN procedure is proposed. This method has the advantage of being faster than the classical one. To validate this approach an experimental plane tensile and bulge tests are used in order to identify material behavior. The ANN model is trained from finite element simulations of the two tests. In order to reduce the gap between themore » experimental responses and the numerical ones, the proposed method is coupled with an optimization procedure to identify material parameters for the AISI304. The identified material parameters are the hardening curve and the anisotropic coefficients.« less