scholarly journals Relevance of Incorporating Cavity Shape Change in Modelling the Ductile Failure of Metals

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Mohand Ould Ouali
Keyword(s):  
Shape Change ◽  
Ductile Failure ◽  
Thermal Heating ◽  
Correct Description ◽  
Ductile Rupture ◽  
Spherical Cavities ◽  
Plastic Dissipation ◽  
Physically Based ◽  
Shape Effects ◽  
Physically Based Modelling

The purpose of this paper is to assess the relevance of considering the cavities shape change in the context of physically based modelling of the ductile rupture in metals. Two thermomechanical models have been used in this study: the GTN model, developed by Gurson, Tvergaard, and Needleman for spherical cavities keeping their shape unchanged during loading, and the GLD model, proposed by Gologanu, Leblond, and Devaux for ellipsoidal cavities that can change their shape. The GTN and GLD models have been extended to take into account material thermal heating due to plastic dissipation. These two constitutive laws have been implemented into the commercial finite element code Abaqus/Explicit in order to simulate the necking of a round bar and the failure of a sheet deep drawing. The results showed the importance of incorporating the shape effects of the cavities for a correct description of the material failure.

Forensic Analyses of Stress-Strain Diagrams to Evaluate Contributions from Microstructure

2018 ◽  
Vol 941 ◽  
pp. 2270-2277 ◽  
Author(s):  
Shigeo Saimoto ◽  
Michael R. Langille ◽  
Marek Niewczas
Keyword(s):  
Work Hardening ◽  
Shape Change ◽  
Constitutive Relations ◽  
Pure Aluminum ◽  
Ductile Failure ◽  
Large Strains ◽  
Strain Diagram ◽  
Annihilation Process ◽  
Stress Strain ◽  
Strength Factor

The conventional characterization of work-hardening is to approximate the stress-strain diagram using the empirical curve-fitting of Hollomon or Voce. The new method uses the Taylor slip analyses to derive a functional form which is optimally fitted to the data. This constitutive relations analysis (CRA) duplicates the data using at least two fit loci. The fit parameters relate to the slip motion within the microstructure and hence its interpretation reveals the possible dynamic shape-change reactions. The fit-process defines a new yield stress which separates the yielding from the deformation mechanisms at large strains that breaks up into two regions separated by intersection parameters. The applications of CRA to nanovoid formation and growth leading to ductile failure, plane stress yield locus prediction using tensile tests and decoding the stress-strain diagram for age-hardened aluminum alloys have been successful. Using super-pure aluminum, this study confirms that CRA is based on crystal plasticity principles and that CRA can predict the correlation of the obstacle strength factor, α, with work-hardening, hence permitting conversion of flow stress at given strains to obstacle density. The derived results show that the inherent annihilation process and the changing strength factor are coordinated to result in a self-consistent constitutive relation.

Comprehensive physically based modelling and simulation of power diodes with parameter extraction using MATLAB

2014 ◽  
Vol 7 (10) ◽  
pp. 2464-2471 ◽  
Author(s):  
Ahmed Shaker ◽  
Mohamed Abouelatta ◽  
Gihan Taha Sayah ◽  
Abdelhalim Zekry
Keyword(s):  
Parameter Extraction ◽  
Modelling And Simulation ◽  
Power Diodes ◽  
Physically Based ◽  
Physically Based Modelling

Cyclic softening of martensitic steels at high temperature—Experiments and physically based modelling

2008 ◽  
Vol 483-484 ◽  
pp. 410-414 ◽  
Author(s):  
Maxime Sauzay ◽  
Benjamin Fournier ◽  
Michel Mottot ◽  
André Pineau ◽  
Isabelle Monnet
Keyword(s):  
High Temperature ◽  
Cyclic Softening ◽  
Martensitic Steels ◽  
Physically Based ◽  
Physically Based Modelling

Physically based modelling of soil erosion induced by rainfall in small mountain basins

Geomorphology ◽  
2015 ◽  
Vol 243 ◽  
pp. 106-115 ◽  
Author(s):  
Sabatino Cuomo ◽  
Maria Della Sala ◽  
Antonio Novità
Keyword(s):  
Soil Erosion ◽  
Physically Based ◽  
Physically Based Modelling ◽  
Mountain Basins

Physically-based modelling, good modelling practice including uncertainty – reply to comment by Ewen et al. (2012)

2012 ◽  
Vol 43 (6) ◽  
pp. 948-950 ◽  
Author(s):  
Jens Christian Refsgaard ◽  
Børge Storm ◽  
Thomas Clausen
Keyword(s):  
Historical Analysis ◽  
Physically Based ◽  
Physically Based Modelling ◽  
A Minor ◽  
Minor Extent

As stated explicitly in the paper by Refsgaard et al. (‘Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based modelling’, published in Hydrology Research41 (5), 355–377), our paper was ‘confined to a historical analysis based on our own experience through our work at DHI and, to a minor extent, the initiatives and work by DHI's ASHE partners’. We therefore welcome the comments by Ewen et al. (in this issue's Comment paper, pp. 945–947) hereafter referred to as EOBBKPO, with the views of another ASHE partner. This provides us with the opportunity to state our views even more clearly.

Desktop haptic virtual assembly using physically based modelling

2007 ◽  
Vol 11 (4) ◽  
pp. 207-215 ◽  
Author(s):  
Brad M. Howard ◽  
Judy M. Vance
Keyword(s):  
Virtual Assembly ◽  
Physically Based ◽  
Physically Based Modelling
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