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Seminar on Computational and Data-Driven Methods for NextGeneration Engineering Design Tools

Wednesday, May 12, 2021
11:00 am to 12:00 pm

This seminar will be presented by Dr. Jun Wang. Dr. Jun Wang is a Postdoctoral Associate of Mechanical Engineering at the University of Maryland, College Park.

Advanced manufacturing leverages innovative technologies to create existing and enables the creation of new products. A wide variety of technologies are being explored to boost productivity, increase innovation, and enhance quality in design and manufacturing processes, such as 3D modeling and simulation, 3D printing, big data, and software integration. I focus on underlying scientific questions at the intersections of advanced manufacturing, product design, and machine learning, with the goal of enabling generative design by bridging required interdisciplinary domains (e.g., computational geometry, mesh generation, FEA, design optimization, additive manufacturing, and AI) and exploring relevant technologies (e.g., lattice and foam structuring, topology optimization, complex part simulation, 3D printing processes, and neural networks). This presentation will cover related sets of techniques and research areas I have explored thus far and envision future research and education plans.

DEPARTMENT(S): 
Name: 
Patricia Howe