Jiangce Chen

Postdoc at Carnegie Mellon University, PA, USA.

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I am a postdoc at Manufacturing Futures Institute, Carnegie Mellon University. My advisors are Christopher McComb and Sneha Prabha Narra. I obtained my PhD degree from University of Connecticut. My PhD advisor is Horea T. Ilies.

Research interests

My research focuses on developing a cyber-physical system that integrates the design, simulations, and manufacturing control enhanced by machine learning for additive manufacturing (AM). It aims to solve the two largest challenges faced by current AM technologies: inaccurate quality control and outdated design frameworks. This system features a real-time digital twin to improve manufacturing quality and a design optimization framework to unlock the full potential of AM in creating structures with multi-scale properties for multi-physic purpose.

News

2024

October

August

  • I presented my paper “Multi-lattice topology optimization with lattice representation learned by generative models” at IDETC/CIE 2024, DC, USA.

May

2023

August

  1. CAD
    Graph-Based Shape Analysis for Heterogeneous Geometric Datasets: Similarity, Retrieval and Substructure Matching
    Jiangce Chen, Horea T Ilieş, and Caiwen Ding
    Computer-Aided Design, 2022
  2. CAD
    Maximal Disjoint Ball Decompositions for shape modeling and analysis
    Jiangce Chen, and Horea T Ilieş
    Computer-Aided Design, 2020
  3. IDETC
    Automatic Shape Modification for Self-Supporting Structures in Additive Manufacturing
    Jiangce Chen, Matt Patterson, Amir M Mirzendehdel, and Morad Behandish
    In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2022
  4. JCISE
    Accelerating Thermal Simulations in Additive Manufacturing by Traing Physics-Informed Neural Networks with Randomly-Synthesized Data
    Jiangce Chen, Justin Pierce, Glen Williams, Timothy W Simpson, Nicholas Meisel, Sneha Prabha Narra, and Christopher McComb
    Journal of Computing and Information Science in Engineering, 2024
  5. JMS
    Data-driven inpainting for full-part temperature monitoring in additive manufacturing
    Jiangce Chen, Mikhail Khrenov, Jiayi Jin, Sneha Prabha Narra, and Christopher McComb
    Journal of Manufacturing Systems, 2024
  6. JMSE
    Capturing Local Temperature Evolution During Additive Manufacturing Through Fourier Neural Operators
    Jiangce Chen, Wenzhuo Xu, Martha Baldwin, Björn Nijhuis, Ton van Boogaard, Noelia Grande Gutiérrez, Sneha Prabha Narra, and Christopher McComb
    Journal of Manufacturing Science and Engineering, 2024
  7. CAD
    Taming Connectedness in Machine-Learning-Based Topology Optimization with Connectivity Graphs
    Mohammad Mahdi Behzadi, Jiangce Chen, and Horea T Ilies
    Computer-Aided Design, 2024
  8. arXiv
    Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs
    Jiangce Chen, Wenzhuo Xu, Zeda Xu, Noelia Grande Gutiérrez, Sneha Prabha Narra, and Christopher McComb
    arXiv preprint arXiv:2405.01319, 2024