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Proceedings Papers

Phononic Metamaterial Design via Transfer Learning-Based Topology Optimization Framework

Zihan Wang, Ran Zhuang, Weikang Xian, Jiawei Tian, Ying Li, Shikui Chen, Hongyi Xu

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A048, August 14–17, 2022

Paper No: DETC2022-89932

DOI: https://doi.org/10.1115/DETC2022-89932

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Topics: Design, Energy gap, Metamaterials, Optimization, Topology

Journal Articles

Design of Phononic Bandgap Metamaterials Based on Gaussian Mixture Beta Variational Autoencoder and Iterative Model Updating

Zihan Wang, Weikang Xian, M. Ridha Baccouche, Horst Lanzerath, Ying Li, Hongyi Xu

J. Mech. Des. April 2022, 144(4): 041705.

Paper No: MD-21-1373

DOI: https://doi.org/10.1115/1.4053814

Published Online: February 22, 2022

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Topics: Design, Energy gap, Metamaterials, Optimization

Proceedings Papers

A Gaussian Mixture Variational Autoencoder-Based Approach for Designing Phononic Bandgap Metamaterials

Zihan Wang, Weikang Xian, M. Ridha Baccouche, Horst Lanzerath, Ying Li, Hongyi Xu

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A002, August 17–19, 2021

Paper No: DETC2021-67629

DOI: https://doi.org/10.1115/DETC2021-67629

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Topics: Design, Energy gap, Metamaterials, Optimization

Journal Articles

Quantitative Representation of Aleatoric Uncertainties in Network-Like Topological Structural Systems

Zihan Wang, Hongyi Xu

J. Mech. Des. March 2021, 143(3): 031713.

Paper No: MD-20-1545

DOI: https://doi.org/10.1115/1.4049522

Published Online: January 29, 2021

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Topics: Topology, Uncertainty, Stochastic processes, Simulation

Proceedings Papers

Quantification of Uncertainties Distributed in Network-Like Systems

Zihan Wang, Hongyi Xu

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A048, August 17–19, 2020

Paper No: DETC2020-22082

DOI: https://doi.org/10.1115/DETC2020-22082

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Topics: Simulation, Uncertainty, Uncertainty quantification, Additive manufacturing, Engineering systems and industry applications, Gaussian distribution, Heat conduction, Metamaterials, Stochastic processes

Proceedings Papers

Material Model Calibration by Deep Learning for Additively Manufactured Alloys

Zihan Wang, Hongyi Xu, Yang Li

Proc. ASME. ISFA2020, 2020 International Symposium on Flexible Automation, V001T07A007, July 8–9, 2020

Paper No: ISFA2020-9640

DOI: https://doi.org/10.1115/ISFA2020-9640

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Topics: Additive manufacturing, Alloys, Calibration, Machine learning

Proceedings Papers

Numerical Study of the Combustion Characteristics of a Diesel Micro Pilot Ignited DI Gasoline Engine With Turbocharging and Cooled EGR

Yuhua (York) Zhu, Nameer Salman, Kevin Freeman, Ronald Reese, II, Zihan Wang, Riccardo Scarcelli, Sibendu Som

Proc. ASME. ICEF2013, Volume 1: Large Bore Engines; Advanced Combustion; Emissions Control Systems; Instrumentation, Controls, and Hybrids, V001T03A022, October 13–16, 2013

Paper No: ICEF2013-19170

DOI: https://doi.org/10.1115/ICEF2013-19170

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Topics: Combustion, Diesel, Exhaust gas recirculation, Gasoline engines, Gasoline, Ignition, Engines, Computational fluid dynamics, Computer simulation, Corporate average fuel economy