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Albert C. To, PhD

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Inanc Senocak, PhD

Inanc Senocak, PhD

508 Benedum Hall | 3700 O’Hara Street | Pittsburgh, PA 15261 P: 412-624-2052

albertto@pitt.edu www.pitt.edu/~albertto Professor, CNG Faculty Fellow

Director, ANSYS Additive Manufacturing Research Laboratory (AMRL) Director, MOST-AM Consortium

Biography

Dr. Albert To joined University of Pittsburgh as an assistant professor in 2008 and has been associate professor since 2014. He is also directing the ANSYS Additive Manufacturing Research Laboratory – a 1,200 ft2 space that houses several advanced metal 3D printers. He did his undergraduate study at UC Berkeley and master’s study at MIT. He received his PhD from UC Berkeley in 2005 and was a postdoctoral fellow at Northwestern University from 2005-2008. He is an Editorial Board Member of Additive Manufacturing. His research has been supported by NSF, America Makes, NASA, DOE-NETL, Army, ANSYS, etc. He is also a recipient of the NSF BRIGE award in 2009.

Areas of Research

The primary research interests of his research group are in design optimization for additive manufacturing (AM), computational mechanics, and multiscale methods. Currently, his group is actively working on developing the “Lattice Structure Design Optimization” software for generating optimal lightweight and multi-physics design for AM. Ongoing research activities also include process-microstructure-property relationship of AM metals and support structure design optimization for AM.

Design and Optimization for Additive Manufacturing

The goal of this project is to develop robust software for design and optimization of additive manufactured (AM) structural designs based on cellular structures. The key innovation in this technology is the utilization of micromechanics models for capturing the effective behavior of cellular structures in finite element analysis (FEA). This will enable solving topology optimization problems via FEA much more efficiently. The computational tools developed will help cut time in design phase, lower manufacturing cost, and reduce time to market for new AM structural product development.

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