ME Seminar: Design and Topology Optimization of Lattice Structures ....
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  • ME Seminar: Design and Topology Optimization of Lattice Structures ....

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Design and Topology Optimization of Lattice Structures Using Deformable Implicit Surfaces for Additive Manufacturing

When: Thursday, December 29th,
Time: 12:40pm - 1:30pm
Location: FENS L058
Dr. Erhan Batuhan Arısoy

Siemens Corporation, Corporate Technology, Princeton, NJ

Additive manufacturing (AM) enables creation of objects with complex internal lattice structures for functional, aesthetic, structural and fabrication considerations. Several approaches for lattice generation and optimization, and their implementations in commercial systems exist. However, these commercial systems are typically independent from a CAD system, and therefore introduce workflow complexities for product lifecycle management. In this talk, we will present a unified computer-aided framework for design, computer-aided engineering analysis (CAE) of solids with lattice structures, and freeform topology optimization within the CAD system that enables a seamless workflow. Presented framework takes as input a solid CAD model and enables rapid generation of different lattice structures as repeated arrangements of lattice template shapes that replace input solid volume. Generated internal patterns are further optimized through freeform modifications to improve structural characteristics of the input model. Lattice modeling and optimization is performed using discrete implicit surface representations for the ease in representing complex topologies and performing modeling and freeform deformation operations. In addition to lattice generation strategies for AM, I will briefly talk about our paper entitled “A data-driven approach to predict hand positions for two-hand grasps of industrial objects”. We won 2016 ASME IDETC Best Paper Award for this paper.
Dr. Erhan Arisoy is a Research Scientist at Siemens Corporation, Corporate Technology,
Princeton, NJ in Product Modeling and Simulation group. He received his Ph.D. and M.SC.
degrees in Mechanical Engineering from Carnegie Mellon University in 2015 and 2011. Dr.
Arisoy's research interests and expertise covers advanced geometrical modeling, computational
geometry, computer-aided design and manufacturing, manufacturability analysis and design for
additive manufacturing. His research has been presented at many international manufacturing
and design conferences and he has published multiple research papers in leading journals and
conferences. He has been the key contributor on several research projects, funded by both
government and industrial agencies
Abstract:
Additive manufacturing (AM) enables creation of objects with complex internal lattice structures
for functional, aesthetic, structural and fabrication considerations. Several approaches for lattice
generation and optimization, and their implementations in commercial systems exist. However,
these commercial systems are typically independent from a CAD system, and therefore
introduce workflow complexities for product lifecycle management. In this talk, we will present a
unified computer-aided framework for design, computer-aided engineering analysis (CAE) of
solids with lattice structures, and freeform topology optimization within the CAD system that
enables a seamless workflow. Presented framework takes as input a solid CAD model and
enables rapid generation of different lattice structures as repeated arrangements of lattice
template shapes that replace input solid volume. Generated internal patterns are further
optimized through freeform modifications to improve structural characteristics of the input
model. Lattice modeling and optimization is performed using discrete implicit surface
representations for the ease in representing complex topologies and performing modeling and
freeform deformation operations. In addition to lattice generation strategies for AM, I will briefly
talk about our paper entitled “A data-driven approach to predict hand positions for two-hand
grasps of industrial objects”. We won 2016 ASME IDETC Best Paper Award for this paper.