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Spatial control of functional response in 4.5D‐printed metallic structures

Event Type
Department of Mechanical Science & Engineering
143 Mechanical Engineering Building
Oct 25, 2017   12:00 - 1:00 pm  
Professor Alaa Elwany, Department of Industrial & Systems Engineering, Texas A&M University
Holly Foster
Originating Calendar
MechSE Seminars


Additive manufacturing (AM) has gained wide acceptance over the past decade as a set of manufacturing technologies that offer attractive capabilities such as such as geometric design freedom, flexibility, and reduced lead times. While these capabilities are proven and accepted by now, two emerging trends that represent notable shifts in AM are: (1) manufacturing parts with the ability to geometrically transform over time (the fourth dimension) when subject to external stimuli including heat, light, or surrounding environment, and (2) tailoring location-specific properties within a monolithic structure. This presentation will give an overview of work being conducted in Texas A&M at the intersection of these two areas: spatial control of functional response in 4.5D Printed shape memory alloys. We will present building blocks of our framework that integrates computational materials models, process monitoring, data-driven surrogate models, and experimental characterization to address two questions: (1) how to predict the functional response for a given AM processing recipe (the forward problem), and (2) how to infer the AM processing recipe needed to tailor a desired functional response (the backward problem).


About the Speaker

Dr. Alaa Elwany is an assistant professor at the Department of Industrial & Systems Engineering in Texas A&M University. He acquired a Ph.D. in Industrial & Systems Engineering from Georgia Institute of Technology in 2009, and a B.Sc. and M.Sc. in Production Engineering from Alexandria University, Egypt, in 2002 and 2004, respectively. Prior to joining Texas A&M, he worked as a research scientist at the Manufacturing Systems Research laboratory (General Motors R&D), and a faculty member in Eindhoven University of Technology, the Netherlands.


Dr. Elwany's broad research interests are in the modeling, analysis, and control of advanced manufacturing processes and systems, with particular emphasis on metal additive manufacturing and uncertainty quantification in integrated computational materials engineering (ICME). He has led and participated in multiple projects funded by NASA, Air Force Office of Scientific Research (AFOSR), Lawrence Livermore National Laboratory, Netherlands Institute for Scientific Research (NWO), Office of Naval Research, and the Natural Sciences and Engineering Research Council of Canada (NSERC). He serves as a board member in the Quality Control and Reliability Engineering (QCRE) division at IISE, and is one of the recipients of SME's Outstanding Young Manufacturing Engineer award 2017.


Host:  Professor Sameh Tawfick

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