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Enhancing and Supporting Integrated Computational Material Science Engineering Education

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2014 ASEE Annual Conference & Exposition


Indianapolis, Indiana

Publication Date

June 15, 2014

Start Date

June 15, 2014

End Date

June 18, 2014



Conference Session

Materials Division Poster Session

Tagged Division


Page Count


Page Numbers

24.521.1 - 24.521.15



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Paper Authors


Nitin Sukhija Mississippi State University (Center for Advanced Vehicular Systems and Dept. of Computer Science and Engineering)

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I received my BS degree (with honors) in Computer Science Engineering from Institute of Technology and Management, India (2002), Post Graduate Diploma in Financial Management from Symbiosis, India (2005), MBA degree in Information Systems from San Diego State University (2009), and MS degree in Computer Science majoring in Computing from National University, San Diego (2010). I am currently pursuing PhD in Computer Science from Mississippi State University focusing on High Performance Computing and am working as a research associate for Center for Advanced Vehicular Systems, Mississippi State University. I am a member of the IEEE and the IEEE Computer Society and also a member of the ACM and the secretary for Mississippi State University Uplison Pi Epsilon (UPE) Chapter. Also, I am XSEDE Student Campus Champion for Mississippi State University.

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Tomasz A. Haupt Mississippi State University

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Tomasz Haupt got his Ph.D. in Physics from the Jagiellonian University/INP in Poland (1985). Since 1992 he does research in computer Science. His speciality is high-performance, distributed computing with the recent focus on Grid Computing, Cyberinfrastructure, Grid Portals, Service-Oriented Architectures and Autonomic Computing. Currently, he is a research professor at the Center for Advanced Vehicular Systems (CAVS) at Mississippi State University.

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Mark Fredrick Horstemeyer Mississippi State University

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Mark Horstemeyer has published over 400 journal articles, conference papers, books, and technical reports, and has won many awards including: the R&D 100 Award, Sandia Award for Excellence, Ohio State’s Alumni Award, and WVU Alumni Award. He is the recipient of four Fellows: SAE, ASME, ASM, and AAAS. His research and teaching have focused on structure-property constitutive modeling, finite deformation inelasticity, damage evolution, fracture, nanoindention, composites, electromigration-stress voiding, fatigue, penetration, and impact; numerical modeling of nano- and microstructural mechanics; atomistic modeling; finite element analyses of manufacturing methods such as forming, forging, and other metal processing methods. He has published numerous journal articles on the deformation, failure, and fatigue of lightweight cast materials for vehicular applications.

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Enhancing and Supporting Integrated Computational Material Science Engineering EducationIntegrated Computational Materials Engineering (ICME) is an emerging discipline that aims tointegrate computational material science tools into a holistic system than can accelerate materialsdevelopment, transform engineering design optimization, and unify product design andmanufacturing. The concept of ICME arose from the new simulation-based design paradigm thatemploys a hierarchical multiscale modeling approach to relate phenomena that occur at differentlength scales. Consequently, the application of ICME methods, that is, performing multiscalesimulations, requires multidisciplinary expertise in modeling these phenomena usingmultifarious computational tools. The realization of the anticipated revolutionary change inmaterial engineering offered by ICME critically depends on the ability to teach the arcana ofmultiscale modeling to engineering graduate students. To address this challenge, we havedeveloped a new graduate course, entitled “Integrated Computational Materials Engineering(ICME) for Metals” (ME8990). This course is also deployed for online learning in a virtualclassroom. The course was taught for the first time during the Fall 2012 semester and is beingtaught for the second time during the Fall 2013 semester. The course design is based on blendedlearning approach to facilitate integration of advanced technological resources (ICMECyberinfrastructure) with traditional pedagogical practices (textbook, Mark F. Horstemeyer,“ICME for Metals”).The interdisciplinary course curriculum is fragmented into independent learning modules witheach module focusing on teaching different material length scales with its respectivecollaborative student group assignments and learning outcomes. In addition to teachingtheoretical concepts of ICME paradigm (based on the textbook), the course lectures aresupplemented with in-class practical training sessions using the resources accessible onlinethrough ICME Cyberinfrastructure (CI) named Engineering Virtual Organization forCyberDesign (EVOCD). The resources enabled though the shared CI include experimental data,material models and constants, computational tools and software artifacts, and the knowledgepertaining to multiscale physics-based models. These resources are used with different modulesto investigate experimental procedures for model exploration, model calibration, and modelvalidation as well as failure prevention in the context of a diverse set of real world case studies.The emphasis of this course is to teach students in a modular fashion the essential concepts ofcomputational tools describing phenomena at different length scales, to perform simulations atdifferent scales, and to bridge all this information together to determine process-structure-properties-performance relations of materials. On successful completion of the assignedcollaborative projects, all students are required to update their learning contributions on theICME CI portal Wiki, facilitating easy assessment of student achievements. Moreover, using theexample case studies, PowerPoint lectures, computational tools and other resources which aremade available via Wiki based EVOCD web portal, academic institutions or industry memberscan seamlessly deploy and teach this ICME course in real classrooms or virtually throughdistance learning. This paper provides details on how the course has been formulated, deployedand assessed.

Sukhija, N., & Haupt, T. A., & Horstemeyer, M. F. (2014, June), Enhancing and Supporting Integrated Computational Material Science Engineering Education Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20412

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