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ALA Achievement Award, Samueli Outstanding Teacher Award Risk Analysis, ASME, and SNAME. He completed projects for
(UCLA), and Ho-Am Prize in Engineering. Professor Kim governmental and private entities, such as the National
has served on numerous professional and governmental Science Foundation, Department of Defence, Hartford,
committees and panels in MEMS and nanotechnology, Chevron, Bechtel, etc. Dr. Ayyub is the recipient of several
including General Chair of the 2014 IEEE International awards and research prizes from ASCE, ASNE, ASME, ENR,
Conference on MEMS. An ASME Fellow, he is currently serving the Department of the Army, etc. He has authored and
as Senior Editor of the IEEE Journal of MEMS and on the co-authored more than 650 publications, including eight
Editorial Advisory Board for IEEJ Transactions on Electrical textbooks and more than 15 edited books. He is also the
and Electronic Engineering. He has also been active as a founding Editor-in-Chief of the ASCE-ASME Journal of Risk
scientific advisor, consultant, and founder of start-up and Uncertainty in Engineering Systems. His most recent
companies. 2018 edited book on Climate-Resilient Infrastructure, published
by ASCE, was selected as an Engineering-News Record
Track 13: Safety Engineering, Risk and Newsmaker in 2017.
Reliability Analysis
Track 14: Design, Systems and Complexity
13-12-1: SAFETY ENGINEERING, RISK AND
RELIABILITY ANALYSIS 14-6-1: DESIGN, SYSTEMS AND COMPLEXITY
Wednesday, November 13, 9:45AM–10:30AM
Wednesday, November 13, 9:45AM–10:30AM Room 255F,
Room 255C,
Calvin L. Rampton Salt Palace Convention Center
Calvin L. Rampton Salt Palace Convention Center
Design for Additive Manufacturing: Opportunities and
Drag Reduction of Watercraft: Microfluidics Applied to Challenges
Macroscale Objects (IMECE2019-14011)
(IMECE2019-14009)
David Rosen
Bilal Ayyub Singapore University of Technology & Design
University of Maryland, College Park and Georgia Institute of Technology
Abstract: The concept of resilience is applicable to systems Abstract: Broadly speaking, the idea of design for additive xlvii
with anticipated performances and subject to disturbances. manufacturing (DFAM) is to explore new design spaces
Understanding and quantifying resilience enable societies to take advantage of the unique capabilities of AM processes.
to use resources efficiently for enhancing or maintaining the With tremendous design freedom available, resulting device
performance of systems such as infrastructure. For example, designs can be complex geometrically, with complex material
natural disasters as disturbances resulted in worldwide direct and property distributions, that perform multiple functions.
damages of US$366 billion and 29,782 fatalities in 2011 alone. At the same time, AM processes perform millions of
Storms and floods accounted for up to 70% of the 302 natural operations to fabricate a part. Is it any wonder that parts
disasters worldwide, with earthquakes producing the greatest exhibit more variability than in conventional manufacturing
number of fatalities. Managing these risks and others rationally processes? In this talk, I explore the opportunities and
requires an appropriate definition of resilience and associated challenges surrounding these issues of DFAM. Regarding
metrics. This presentation provides a resilience definition that opportunities, I highlight two directions. First, I present
meets a set of requirements with clear relationships to reliability the idea of simultaneous design of a part, its material, and
and risk as key relevant metrics. Such metrics provide a sound its manufacturing process since these are intimately linked
basis for the development of effective decision- and policy- in additive manufacturing. The fundamental need is
making methods for multihazard environments for various to integrate materials information, specifically process-
system types, including lifeline, environmental, financial, etc., structure-property relationships, in order to determine
systems. The presentation also examines recovery, with its if desired spatial distributions of properties are feasible
classifications based on level, spatial, and temporal given a material and a manufacturing process. Second,
considerations. The economics of resilience is briefly I highlight the need for methods of robust and reliability
discussed. design to address process variabilities and enable part
qualification. Regarding challenges, several topics are
Bio: DrBilal Ayyub is a University of Maryland Professor of addressed, starting with the rapid changes in the AM industry.
Civil and Environmental Engineering, Professor of Reliability Additionally, a core attribute of AM processes is that both the
Engineering, and Professor of Applied Mathematics and part geometry and part material is fabricated simultaneously,
Scientific Computation. Dr. Ayyub’s main research interests are in contrast to conventional manufacturing processes, which
risk, resilience, uncertainty, decisions, and systems applied to is the source of many challenges. The talk concludes with an
civil, mechanical, infrastructure, energy, defence, and maritime overview of commercial software offerings to support DFAM,
fields. Dr. Ayyub is a distinguished member of ASCE, and a as well as standardization efforts that offer guidance to
fellow of the Structural Engineering Institute, the Society for designers.