Material parameters identification: An inverse modeling methodology applicable for thermoplastic materials

M. Polanco-Loria; H. Daiyan; F. Grytten

doi:10.1002/pen.22102

Material parameters identification: An inverse modeling methodology applicable for thermoplastic materials

Polymer Engineering & Science ◽

10.1002/pen.22102 ◽

2011 ◽

Vol 52 (2) ◽

pp. 438-448 ◽

Cited By ~ 7

Author(s):

M. Polanco-Loria ◽

H. Daiyan ◽

F. Grytten

Keyword(s):

Inverse Modeling ◽

Parameters Identification ◽

Material Parameters ◽

Modeling Methodology ◽

Material Parameters Identification

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Coupling between topology optimization and digital image correlation for the design of specimen dedicated to selected material parameters identification

International Journal of Solids and Structures ◽

10.1016/j.ijsolstr.2020.02.032 ◽

2020 ◽

Vol 193-194 ◽

pp. 270-286 ◽

Cited By ~ 1

Author(s):

L. Chamoin ◽

C. Jailin ◽

M. Diaz ◽

L. Quesada

Keyword(s):

Topology Optimization ◽

Digital Image Correlation ◽

Digital Image ◽

Parameters Identification ◽

Image Correlation ◽

Material Parameters ◽

Material Parameters Identification

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Microstructural and elasto-plastic material parameters identification by inverse finite elements method of Ti (1−x) Al x N (0 < x < 1) sputtered thin films from Berkovich nano-indentation experiments

Thin Solid Films ◽

10.1016/j.tsf.2014.07.037 ◽

2014 ◽

Vol 569 ◽

pp. 81-92 ◽

Cited By ~ 11

Author(s):

M.-J. Pac ◽

S. Giljean ◽

C. Rousselot ◽

F. Richard ◽

P. Delobelle

Keyword(s):

Thin Films ◽

Finite Elements ◽

Plastic Material ◽

Finite Elements Method ◽

Parameters Identification ◽

Nano Indentation ◽

Material Parameters ◽

Material Parameters Identification

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Pedestrian Knee Joint Modeling and Viscoelastic Material Parameters Identification for Ligaments

2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) ◽

10.1109/icmtma.2016.116 ◽

2016 ◽

Author(s):

Lan Fengchong ◽

Huang Wei ◽

Chen Jiqing ◽

Liu Chaoyang

Keyword(s):

Knee Joint ◽

Viscoelastic Material ◽

Joint Modeling ◽

Parameters Identification ◽

Material Parameters ◽

Material Parameters Identification

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Material parameters identification using experimental continuous spherical indentation for cyclic hardening

Computational Materials Science ◽

10.1016/j.commatsci.2009.03.016 ◽

2009 ◽

Vol 46 (2) ◽

pp. 333-338 ◽

Cited By ~ 16

Author(s):

Jean-Marc Collin ◽

Thomas Parenteau ◽

Gérard Mauvoisin ◽

Philippe Pilvin

Keyword(s):

Cyclic Hardening ◽

Parameters Identification ◽

Spherical Indentation ◽

Material Parameters ◽

Material Parameters Identification

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Strategy of Material Parameters Identification for Non Linear Mechanical Behavior: Sensitivity of FE Computation

10.1063/1.2729494 ◽

2007 ◽

Author(s):

S. Bouvier ◽

L. Alves ◽

A. M. Habraken

Keyword(s):

Mechanical Behavior ◽

Parameters Identification ◽

Material Parameters ◽

Non Linear ◽

Material Parameters Identification ◽

Behavior Sensitivity

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Material parameters identification procedure for BBC2003 yield criterion and earing prediction in deep drawing

International Journal of Mechanical Sciences ◽

10.1016/j.ijmecsci.2016.07.036 ◽

2016 ◽

Vol 115-116 ◽

pp. 552-563 ◽

Cited By ~ 5

Author(s):

Sajjad Izadpanah ◽

Seyed Hadi Ghaderi ◽

Mahdi Gerdooei

Keyword(s):

Deep Drawing ◽

Yield Criterion ◽

Parameters Identification ◽

Identification Procedure ◽

Material Parameters ◽

Material Parameters Identification

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An inverse solution procedure for material parameters identification in large plastic deformations

Communications in Numerical Methods in Engineering ◽

10.1002/(sici)1099-0887(199603)12:3<161::aid-cnm961>3.0.co;2-e ◽

1996 ◽

Vol 12 (3) ◽

pp. 161-173 ◽

Cited By ~ 23

Author(s):

Jean-Claude Gelin ◽

Omar Ghouati

Keyword(s):

Solution Procedure ◽

Inverse Solution ◽

Parameters Identification ◽

Plastic Deformations ◽

Material Parameters ◽

Large Plastic Deformations ◽

Material Parameters Identification

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Statistical material parameters identification based on artificial neural networks for stochastic computations

10.1063/1.4989942 ◽

2017 ◽

Author(s):

Drahomír Novák ◽

David Lehký

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Parameters Identification ◽

Material Parameters ◽

Artificial Neural ◽

Material Parameters Identification

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Mechanical design of a heterogeneous test for material parameters identification

International Journal of Material Forming ◽

10.1007/s12289-016-1284-9 ◽

2016 ◽

Vol 10 (3) ◽

pp. 353-367 ◽

Cited By ~ 15

Author(s):

N. Souto ◽

A. Andrade-Campos ◽

S. Thuillier

Keyword(s):

Mechanical Design ◽

Parameters Identification ◽

Material Parameters ◽

Material Parameters Identification

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Study on Material Parameters Identification of Brain Tissue Considering Uncertainty of Friction Coefficient

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/250/1/012049 ◽

2017 ◽

Vol 250 ◽

pp. 012049 ◽

Cited By ~ 1

Author(s):

Fengjiao Guan ◽

Guanjun Zhang ◽

Jie Liu ◽

Shujing Wang ◽

Xu Luo ◽

...

Keyword(s):

Friction Coefficient ◽

Brain Tissue ◽

Parameters Identification ◽

Material Parameters ◽

Material Parameters Identification

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