Albert C. To

ORCID: 0000-0003-2893-8378
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About
Contact & Profiles
Research Areas
  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • Topology Optimization in Engineering
  • Welding Techniques and Residual Stresses
  • Manufacturing Process and Optimization
  • Carbon Nanotubes in Composites
  • Composite Structure Analysis and Optimization
  • High Entropy Alloys Studies
  • Graphene research and applications
  • Microstructure and mechanical properties
  • Advanced Multi-Objective Optimization Algorithms
  • Composite Material Mechanics
  • Cellular and Composite Structures
  • Thermal properties of materials
  • Numerical methods in engineering
  • Force Microscopy Techniques and Applications
  • Innovations in Concrete and Construction Materials
  • Advanced machining processes and optimization
  • Acoustic Wave Phenomena Research
  • High-pressure geophysics and materials
  • Laser Material Processing Techniques
  • Boron and Carbon Nanomaterials Research
  • Diamond and Carbon-based Materials Research
  • Titanium Alloys Microstructure and Properties
  • Injection Molding Process and Properties

University of Pittsburgh
2015-2024

Stevens Institute of Technology
2023

Material Sciences (United States)
2020

Consumer Healthcare Products Association
2014

Hong Kong Polytechnic University
2013

Cambridge University Press
2011

New York University Press
2011

University of California, Berkeley
2003-2010

Edwards Air Force Base
2010

Lawrence Berkeley National Laboratory
2009-2010

Cellular structures are promising candidates for additive manufacturing (AM) due to their lower material and energy consumption. In this work, an efficient method is proposed optimizing the topology of variable-density cellular be fabricated by certain AM process. The gains accuracy relating structure's microstructure continuous micromechanics models achieves efficiency through conducting continuum optimization at macroscopic scale. explicit structure then finally reconstructed mapping...

10.1115/1.4028724 article EN Journal of Manufacturing Science and Engineering 2014-10-01

Purpose The purpose of the paper is to propose a homogenization-based topology optimization method optimize design variable-density cellular structure, in order achieve lightweight and overcome some manufacturability issues additive manufacturing. Design/methodology/approach First, homogenization performed capture effective mechanical properties structures through scaling law as function their relative density. Second, used directly algorithm compute optimal density distribution for part...

10.1108/rpj-04-2016-0069 article EN Rapid Prototyping Journal 2017-05-22

In metals additive manufacturing (AM), materials and components are concurrently made in a single process as layers of metal fabricated on top each other the near-final topology required for end-use product. Consequently, tens to hundreds part design degrees freedom must be simultaneously controlled understood; hence, AM is highly interdisciplinary technology that requires synchronized consideration physics, chemistry, science, physical metallurgy, computer electrical engineering, mechanical...

10.1016/j.addma.2020.101641 article EN cc-by-nc-nd Additive manufacturing 2020-10-19

Broadband wave filtering effect is observed in a phononic crystal with hierarchical structure inspired by biocomposites. Through multilayered model structure, it demonstrated that the overall bandwidth covered closely adjacent bandgaps for this orders of magnitude broader frequency than conventional periodic single periodicity. This remarkable feature attributed to inherent multiscale periodicity microstructure, which roughly superimposes generated individual structures periods corresponding...

10.1063/1.4799171 article EN Applied Physics Letters 2013-03-25

A new topology optimization method called the Proportional Topology Optimization (PTO) is presented. As a non-sensitivity method, PTO simple to understand, easy implement, and also efficient accurate at same time. It implemented into two MATLAB programs solve stress constrained minimum compliance problems. Descriptions of algorithm computer are provided in detail. The applied three numerical examples for both types shows comparable efficiency accuracy with an existing optimality criteria...

10.1371/journal.pone.0145041 article EN cc-by PLoS ONE 2015-12-17
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