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material simulation software

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Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005544
EISBN: 978-1-62708-197-9
... tabulates the software name, function or process applications, vendor or developer, and website information. computational simulation material simulation software process applications This compilation ( Tables 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ) is intended...
Series: ASM Handbook
Volume: 4B
Publisher: ASM International
Published: 30 September 2014
DOI: 10.31399/asm.hb.v04b.a0005950
EISBN: 978-1-62708-166-5
... Abstract This article describes the fundamental concepts of heat treatment simulation, including the physical events and their interactions, the heat treatment simulation software, and the commonly used simulation strategies. It summarizes material data needed for heat treatment simulations...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005538
EISBN: 978-1-62708-197-9
... conditions. The article describes the role of input data and boundary conditions for process simulations. It provides information on the critical enablers of computational materials engineering, such as the computational speed, computational materials engineering software/hardware supply chain, and cost...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005540
EISBN: 978-1-62708-197-9
... review of the history and applied analysis of simple forming operations. It focuses on metal stamping simulation based on the finite-element methods or model (FEM) with emphasis on software tools using the three-dimensional FEM technology. The article discusses two aspects of particular importance...
Series: ASM Handbook
Volume: 21
Publisher: ASM International
Published: 01 January 2001
DOI: 10.31399/asm.hb.v21.a0003394
EISBN: 978-1-62708-195-5
... based on material width. EOP, edge of part Fig. 12 Finite-element mesh (left) and resin flow-front simulation (right) for resin transfer molding injection Fig. 3 Material scissoring shown by a draping simulation using the fishnet algorithm Abstract Abstract Continuous fiber...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005438
EISBN: 978-1-62708-196-2
... in the verification of software codes ( Ref 3 ). Because the objective of this article is to provide guidelines for the assessment of model quality in materials science and engineering, and considering the vast scope that materials models potentially entail, the reader is highly encouraged to review...
Series: ASM Handbook
Volume: 14B
Publisher: ASM International
Published: 01 January 2006
DOI: 10.31399/asm.hb.v14b.a0005151
EISBN: 978-1-62708-186-3
... software vendor has a particular strategy in developing their system. As the focus of die development shifts away from trial and error toward CAE simulations, the burden also shifts upfront and is undertaken more by CAE analysts. For a component to be manufactured effectively, new materials...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002442
EISBN: 978-1-62708-194-8
... of experiments (DOE) or Taguchi techniques (see the article “Robust Design” in this Volume and Ref 7 ) in conjunction with the simulation to guide the design. In the future, there will be sufficient intelligence built into software to provide significant assistance in the definition, as well...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005407
EISBN: 978-1-62708-196-2
... for certain areas of application. Both are constantly being improved and applied to a variety of processes and correlations in metallurgy and materials science. Physical models and software are usually based on fundamental theories and laws describing the physical nature of the process. There are major...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005504
EISBN: 978-1-62708-197-9
...-D simulations of microstructural evolution during materials processing and materials response. It also explains how the 3-D experimental data are actually input and used in the simulations using phase-field modeling and finite-element modeling. References 1. Kral M.V. , Ice G.E...
Series: ASM Handbook
Volume: 6
Publisher: ASM International
Published: 01 January 1993
DOI: 10.31399/asm.hb.v06.a0001470
EISBN: 978-1-62708-173-3
... in the FERRITEPREDICTOR expert system A neural network system (NNS) is a computer hardware and software technique that simulates an interconnected network of biological neurons, similar to a portion of the human brain. A neural network can be trained with given patterns, called training sets. After the NNS...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005427
EISBN: 978-1-62708-196-2
... Abstract Integrated computational materials engineering refers to the use of computer simulations that integrate mathematical models of complex metallurgical processes with computer models used in component and process design. This article outlines an example of a computer-aided engineering...
Series: ASM Handbook
Volume: 13A
Publisher: ASM International
Published: 01 January 2003
DOI: 10.31399/asm.hb.v13a.a0003582
EISBN: 978-1-62708-182-5
... of both commercial and freeware software tools make this predictive power available to almost every scientist and engineer. As an example, the freeware program PHREEQC is capable of simulating a wide range of aqueous geochemical reactions including the mixing of waters, addition of net irreversible...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005517
EISBN: 978-1-62708-197-9
..., a simulation of fluidity using a spiral test was undertaken using ProCAST, with the input material data files created by calculation ( Fig. 17 ). While the high-specification alloy has excellent fluidity, the low-specification alloy behaves, in comparison, quite poorly. To model the strength of an alloy...
Series: ASM Handbook Archive
Volume: 11
Publisher: ASM International
Published: 01 January 2002
DOI: 10.31399/asm.hb.v11.a0003523
EISBN: 978-1-62708-180-1
... Abstract This article focuses on the general methods and approaches from the perspective of a reconstruction analyst and includes discussions relevant to materials failure analysts at the incident scene. The elements of accident reconstruction are described. These have conceptual similarity...
Series: ASM Handbook
Volume: 14A
Publisher: ASM International
Published: 01 January 2005
DOI: 10.31399/asm.hb.v14a.a0004022
EISBN: 978-1-62708-185-6
... A.N. , UBET and TEUBA: Fast Methods for Forging Simulation and Preform Design , J. Mater. Process. Technol. , Vol 116 , 2001 , p 62 – 66 7. Chaudhary A. , Reddy C. , DeSouza U. , and Vaze S. , “A Software Tool to Design Preform and Die Shapes in Forging and Ring...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005533
EISBN: 978-1-62708-197-9
... simulating electromagnetic and thermal phenomena for many processes that involve electromagnetic induction. The article considers the challenges faced by developers of modern simulation software. References 1. Rudnev V. , Loveless D. , Cook R. , and Black M. , Handbook...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005604
EISBN: 978-1-62708-174-0
... programs for welding and other metals processing applications, see Appendix A, “Software for Computational Materials Modeling and Simulation,” in Metals Process Simulation , Vol 22B, of ASM Handbook , 2010.) The general workflow for a welding simulation, according to the stated approach, is shown...
Series: ASM Handbook
Volume: 4C
Publisher: ASM International
Published: 09 June 2014
DOI: 10.31399/asm.hb.v04c.a0005882
EISBN: 978-1-62708-167-2
... stress evolution at the surface, as well as plastic strain and austenite fraction r heated and quenched elastic, elastic-plastic, and elastic-plastic with phase transformation materials. Fig. 24 DANTE modeling software predicted power density as a function of time and radial position...
Series: ASM Handbook
Volume: 7
Publisher: ASM International
Published: 30 September 2015
DOI: 10.31399/asm.hb.v07.a0006033
EISBN: 978-1-62708-175-7
... illustrates the typical procedure for computer simulation for press and sinter process. It describes the procedure to obtain the material properties based on the generalized Shima-Oyane model. The article presents a wide variety of tests, accounting for data on the grain growth, densification, and distortion...