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simulation tools operating on different scales and being modular interconnected by a common language in form of standardized data exchange will allow integrating different disciplines along the production chain, which by now have only scarcely interacted. This will substantially improve the understanding of individual processes by integrating the component history originating from preceding steps as the initial condition for the actual process. Eventually this will lead to optimized process and production scenarios and will allow effective tailoring of specific materials and component properties.
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history starting from the homogeneous, isotropic and stress free melt. Thus - for a successful ICME - an efficient exchange of information along the entire process chain and across all relevant length scales is mandatory. The models to be combined for this purpose comprise both academic and/or commercial modelling tools and simulation software packages. To streamline the information flow within this heterogeneous variety of modelling tools, the concept of a modular, standardized simulation platform has recently been proposed. A first realisation of this concept is the
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tools and experimental data provided by EVOCD in conducting simulations and bridging procedures for quantifying the structure-property relationships of materials at multiple length scales. On successful completion of the assigned projects, students published their multiscale modeling learning outcomes on the
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was taught by Dr. Mark
Horstemeyer (MSU) and Dr. William (Bill) Shelton (Louisiana State University, LSU) with students from each institution via distance learning. The goal of the methodology embraced in this course was to provide students with the basic skills to take advantage of the computational
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and other microstructre evolution codes are the initial and boundary conditions. While boundary conditions may be taken e.g. from the simulation of the actual process, the initial conditions (i.e. the initial microstructure entering into the actual process step) involve the entire integrated process
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Integrated
Computational Materials Engineering is an approach to design products, the materials that comprise them, and their associated materials processing methods by linking materials models at multiple length scales. ICME thus naturally requires the combination of a variety of models and software
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ICMEg will create an international network of simulation providers and users. It will promote a deeper understanding between the different communities (academia and industry) each of them by now using very different tools/methods and data formats. The harmonization and standardization of information
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Suites of models (large-scale, small-scale, atomic-scale, process-structure, structure-properties, etc.) can be hierarchically integrated into a systems design framework to enable the computational design of entirely new materials. A commercial leader in the use of ICME in computational materials
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in ICME in the fall of 2011. The first
Integrated Computational Materials Engineering (ICME) course based upon Horstemeyer 2012 was delivered at Mississippi State University (MSU) in 2012 as a graduate course with distance learning students included . It was later taught in 2013 and 2014 at MSU
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Mesoscale: continuum level formulations are used with discrete quantities at multiple micrometer scales. "Meso" is an ambiguous term that means "intermediate" so it has been used as representing different intermediate scales. In this context, it can represent modeling from crystal plasticity for
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A fundamental requirement to meet the ambitious ICME objective of designing materials for specific products resp. components is an integrative and interdisciplinary computational description of the history of the component starting from the sound initial condition of a homogeneous, isotropic and
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Efforts to generate a common language by standardizing and generalizing data formats for the exchange of simulation results represent a major mandatory step towards successful future applications of ICME. A future, structural framework for ICME comprising a variety of academic and/or commercial
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The ICMEg project aims to build up a scientific network of stakeholders concentrating on boosting ICME into industrial application by defining a common communication standard for ICME relevant tools. Eventually this will allow stakeholders from electronic, atomistic, mesoscopic and continuum
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Horstemeyer, M.F.; D. Oglesby; J. Fan; P.M. Gullett; H. El Kadiri; Y. Xue; C. Burton; K. Gall; B. Jelinek; M.K. Jones; S. G. Kim; E.B. Marin; D.L. McDowell; A. Oppedal; N. Yang (2007). "From Atoms to Autos: Designing a Mg Alloy
Corvette Cradle by Employing Hierarchical Multiscale
74:(ICME) is an approach to design products, the materials that comprise them, and their associated materials processing methods by linking materials models at multiple length scales. Key words are "Integrated", involving integrating models at multiple length scales, and "
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aims to evaluate material properties or behavior on one level using information or models from different levels and properties of elementary processes. Usually, the following levels, addressing a phenomenon over a specific window of length and time, are recognized:
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for a given application. The key links are process-structures-properties-performance. The
National Academies report describes the need for using multiscale materials modeling to capture the process-structures-properties-performance of a material.
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are commercial finite element solutions used in production environments by major manufacturers in aerospace, automotive and government organizations to simulate local material phase changes of metals prior to manufacturing.
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to establish and to maintain a network of contacts to simulation software providers, governmental and international standardization authorities, ICME users, associations in the area of materials and processing, and
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tools. It is thus a common objective to build up a scientific network of stakeholders concentrating on boosting ICME into industrial application by defining a common communication standard for ICME relevant tools.
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computational thermodynamics software predicts free energy as a function of composition; a phase field model then uses this to predict structure formation and development, which one may then correlate with
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Schmitz, Georg J. (2016). "Microstructure modeling in integrated computational materials engineering (ICME) settings: Can HDF5 provide the basis for an emerging standard for describing microstructures?".
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communities to benefit from sharing knowledge and best practice and thus to promote a deeper understanding between the different communities of materials scientists, IT engineers and industrial users.
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Nanoscale: semi-empirical atomistic methods are used such as
Lennard-Jones, Brenner potentials, embedded atom method (EAM) potentials, and modified embedded atom potentials (MEAM) in
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Committee on
Integrated Computational Materials Engineering, National Materials Advisory Board, Division on Engineering and Physical Sciences, National Research Council (2008).
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Horstemeyer, M.F.; Wang, P. (2003). "Cradle-to-Grave simulation-Based Design
Incorporating Multiscale Microstructure-Property Modeling: Reinvigorating Design with Science".
40:
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Schmitz, Georg J.; Böttger, Bernd; Apel, Markus; Eiken, Janin; Laschet, Gottfried; Altenfeld, Ralph; Berger, Ralf; Boussinot, Guillaume; Viardin, Alexandre (2016).
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Microscale: modeling techniques that represent the micrometer scale such as dislocation dynamics codes for metals and phase field models for multiphase materials.
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stress free melt resp. gas phase and continuing via subsequent processing steps and eventually ending in the description of failure onset under operational load.
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exchange along the life-cycle of a component and across the different scales (electronic, atomistic, mesoscopic, continuum) are the key activity of ICMEg.
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Panchal, Jitesh H.; Surya R. Kalidindi; David L. McDowell (2013). "Key computational modeling issues in
Integrated Computational Materials Engineering".
419:; small-scale models then calculate relationships between structure and properties, for use in a continuum models of overall part or system behavior
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simulation might integrate a continuum solid mechanics model of macroscopic deformation with an FD model of atomic motions at the crack tip
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A comprehensive compilation of software tools with relevance for ICME is documented in the
Handbook of Software Solutions for ICME
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Integrated Computational Materials Engineering: A Transformational Discipline for Improved Competitiveness and National Security,
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Integrated Computational Materials Engineering: A Transformational Discipline for Improved Competitiveness and National Security
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Organization of International Workshops on Software Solutions for Integrated Computational Materials Engineering
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Katsuyo Thorton announced at the 2010 MS&T ICME Technical Committee meeting that NSF would be funding a "
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Process models calculate spatial distribution of structure features, e.g. fiber density and orientation in a
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Integrative Computational Materials Engineering- Concepts and applications of a modular simulation platform
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to define and communicate an ICME language in form of an open and standardized communication protocol
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as a suitable communication file standard for microstructure information exchange in ICME settings
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process modeling/simulations: extrusion, rolling, sheet forming, stamping, casting, welding, etc.
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to identify missing tools, models and functionalities and propose a roadmap for their development
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Proceedings of the 1st World Congress on Integrated Computational Materials Engineering (ICME)
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is utilized for tracking material changes during composite forming manufacturing simulation.
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metals, Eshelby solutions for any materials, homogenization methods, and unit cell methods.
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Committee on Integrated Computational Materials Engineering, National Research Council,
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Schmitz, G.J.; Prahl, U. (2009). "Toward a virtual platform for materials processing".
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is a multiscale constitutive modeling software based on mechanics of structure genome.
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Electronic scale: Schroedinger equations are used in a computational framework as
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Macroscale: constitutive (rheology) equations are used at the continuum level in
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Most of the activities being launched in the ICMEg project are continued by the
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There are some software codes that operate on different length scales such as:
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298:(DFT) models of electron orbitals and bonding on angstrom to nanometer scales.
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Internal State Variable (ISV) plasticity-damage model (DMG) developed by a
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Conducting market study and survey on available simulation software for ICME
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Large scale models explicitly fully couple with small scale models, e.g. a
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product modeling/simulations: performance, impact, fatigue, corrosion, etc.
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to stimulate knowledge sharing in the field of multiscale materials design
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G. Olson, Designing a New Material Word, Science, Vol. 288, May 12, 2000
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to discuss and to decide about future amendments to the initial standard
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Integrated Computational Materials Engineering (ICME) for Metals
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Microstructure-Property Models for Monotonic and Cyclic Loads".
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The ICMEg project ended in October 2016. Its major outcomes are
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Schmitz, Georg J.; Prahl, Ulrich (2016-09-23), "Introduction",
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the specification of a metadata description for microstructures
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An essential ingredient to model microstructure evolution by
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from which one can draw correlations at various length scales
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Cyberinfrastructure for ICME at Mississippi State University
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steels were designed and developed using ICME methodologies.
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The Minerals, Metals & Materials Society (TMS) (2011).
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is a multiscale probabilistic fracture mechanics software.
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formation and evolution on nanometer to millimeter scales.
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are solvers used to simulate structural responses such as
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Create and maintain forum for knowledge sharing in ICME
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412:- the Aachen Virtual Platform for Materials Processing.
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1128:Horstemeyer M.F., "Multiscale Modeling: A Review,"
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500:also with distance learning students. In 2015, the
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may be too technical for most readers to understand
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434:, a small business in Evanston, IL co-founded by
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495:starting in 2011. Northwestern began offering a
72:Integrated Computational Materials Engineering
644:(2009). J. Leszczynski; M. K. Shukla (eds.).
455:led by Prof. Mark F. Horstemeyer (Founder of
188:a network of stakeholders in the area of ICME
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1130:Practical Aspects of Computational Chemistry
915:Science and Technology of Advanced Materials
646:Practical Aspects of Computational Chemistry
626:: CS1 maint: multiple names: authors list (
436:Prof. Greg Olson of Northwestern University
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325:for simulation of microstructure evolution
203:Multiscale modeling in material processing
175:a Handbook of Software Solutions for ICME
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606:. National Academies Press. p. 132.
59:Learn how and when to remove this message
43:, without removing the technical details.
1160:GeoDict The Digital Material Laboratory
835:Handbook of Software Solutions for ICME
699:Schmitz, G. J.; Prahl,U., eds. (2012).
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108:Standardization of information exchange
730:. John Wiley & Sons. p. 275.
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194:European Materials Modelling Council
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1002:10.1023/b:jcad.0000024171.13480.24
990:J. Computer-Aided Materials Design
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124:The ICMEg project and its mission
1107:National Academies Press, 2008.
557:"Designing a New Material World"
317:and even non-equilibrium phases.
157:The activities of ICMEg include
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519:Computational materials science
703:. Weinheim: Wiley VCH Verlag.
555:Olson, Gregory B. (May 2000).
497:Masters of Science Certificate
457:Predictive Design Technologies
438:. QuesTek's high-performance
313:for prediction of equilibrium
283:(MD), molecular statics (MS),
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1057:. USAMP REPORT # DOE/OR22910.
935:10.1080/14686996.2016.1194166
391:, for use in continuum models
379:Small scale models calculate
374:Examples of Model integration
228:partial differential equation
576:10.1126/science.288.5468.993
449:Mississippi State University
1071:Horstemeyer, M. F. (2012).
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1148:Materials Technology @ TMS
331:of processing parameters,
238:at large (meters) scales.
1075:. John Wiley & Sons.
888:10.1007/s11837-015-1748-2
843:10.1002/9783527693566.ch1
773:10.1007/s11837-009-0064-0
683:10.1016/j.cad.2012.06.006
296:density functional theory
1046:Final Report Compilation
1039:Wakade, Shekhar (2011).
529:ICME cyberinfrastructure
136:The mission of ICMEg is
1026:Msu.cavs.CMD.2007-R0001
432:QuesTek Innovations LLC
95:Standardization in ICME
493:University of Michigan
178:the identification of
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671:Computer-Aided Design
524:Materials informatics
257:at millimeter scales.
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534:Cyberinfrastructure
381:material properties
291:(KMC) formulations.
289:kinetic Monte Carlo
255:transport phenomena
236:transport phenomena
208:Multiscale modeling
198:MarketPlace project
84:material properties
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417:composite material
403:phase field models
281:molecular dynamics
266:Phase field models
215:Structural scale:
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975:"Material Models"
817:"ICMEg workshops"
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655:978-90-481-2686-6
570:(5468): 993–998.
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322:Phase field codes
270:phase transitions
225:finite difference
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502:ICME Course
409:AixViPMaP®
398:properties.
389:temperature
347:Math2Market
285:Monte Carlo
196:and in the
76:Engineering
540:References
430:design is
337:properties
287:(MC), and
80:structures
996:: 13–34.
943:1468-6996
896:111605700
781:137465226
622:cite book
584:178637300
507:ICME Wiki
483:Education
463:ESI Group
358:SwiftComp
352:VPS-MICRO
329:Databases
1169:Category
1117:NAP Link
1010:97814944
961:27877892
513:See also
441:Ferrium®
424:fracture
141:academia
952:5111567
923:Bibcode
876:Bibcode
761:Bibcode
564:Science
476:PAMFORM
471:SYSWeld
467:ProCast
395:CALPHAD
364:Digimat
343:GeoDict
307:CALPHAD
35:Please
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