Grants per year
Personal profile
Research Interests
Professor Cao’s major research interests include innovative manufacturing processes and systems, particularly in the areas of deformation-based processes and laser processes. Her work has made fundamental contributions to the characterization of the effects of material structure on forming behavior of metals and woven composites. Her research has integrated analytical and numerical simulation methods, control and sensors, design methodologies to advance manufacturing processes. Professor Cao’s research group has designed unique manufacturing equipment for microforming, dieless sheet forming, and additive manufacturing. Current research has direct impacts on energy-efficient manufacturing, surface engineering, and distributed manufacturing.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Mechanical Engineering, PhD, Massachusetts Institute of Technology
… → 1995
Mechanical Engineering, MS, Massachusetts Institute of Technology
… → 1992
Materials Science and Engineering & Automatic Control, BS, Shanghai Jiao Tong University
… → 1989
Research interests keywords
- Composite sheet forming
- Energy efficient manufacturing processes
- Instability analysis
- Laser processes
- Micro-forming
- Microforming
- Sheet metal forming
- Solid mechanics
- Surface texturing
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Collaborations and top research areas from the last five years
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Center: NSF Engineering Research Center for Human AugmentatioN via Dexterity (HAND)
Colgate, E. (PD/PI), Cao, J. (Other), Elwin, M. (Other), Gerber, E. M. (Other), Lynch, K. M. (Other), Murphey, T. D. (Other), Truby, R. L. (Other) & argall, B. D. (Other)
9/1/24 → 8/31/29
Project: Research project
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APTO: Measuring, Understanding, Predicting, and Accelerating Technology Outcomes
Wang, D. (PD/PI), Cao, J. (Co-PD/PI), Cao, J. (Co-PD/PI), Jones, B. (Co-PD/PI), Loffler, A. (Co-PD/PI), Dunn, J. B. (Other), Dunn, J. B. (Other), Eskreis-Winkler, L. (Other), Hersam, M. (Other), Hersam, M. (Other), Lucks, J. B. (Other), Lucks, J. B. (Other), Sangwan, V. K. (Other), Tullman-Ercek, D. (Other) & Tullman-Ercek, D. (Other)
7/1/24 → 6/30/29
Project: Research project
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Main award RADICAL: Rapid Array DImplebased Co-design of gradient materiaL and geometry
Cao, J. (PD/PI)
Defense Advanced Research Projects Agency (DARPA)
4/17/24 → 4/16/27
Project: Research project
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Subproject - Cao
Cao, J. (PD/PI)
Defense Advanced Research Projects Agency (DARPA)
4/17/24 → 4/16/27
Project: Research project
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Accelerating phase-field simulation of three-dimensional microstructure evolution in laser powder bed fusion with composable machine learning predictions
Choi, J. Y., Xue, T., Liao, S. & Cao, J., Jan 5 2024, In: Additive Manufacturing. 79, 103938.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
Artificial intelligence in metal forming
Cao, J., Bambach, M., Merklein, M., Mozaffar, M. & Xue, T., Jan 2024, In: CIRP Annals. 73, 2, p. 561-587 27 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Data-driven prediction of inter-layer process condition variations in laser powder bed fusion
Kozjek, D., Porter, C., Carter, F. M., Mogonye, J. E. & Cao, J., May 25 2024, In: Additive Manufacturing. 88, 104230.Research output: Contribution to journal › Article › peer-review
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Deep learning based reconstruction of transient 3D melt pool geometries in laser powder bed fusion from coaxial melt pool images
Liao, S., Xue, T. & Cao, J., Jul 2024, In: Manufacturing Letters. 40, p. 50-53 4 p.Research output: Contribution to journal › Article › peer-review
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Distortion Reduction in Incremental Beading
Suarez, D., Huang, L., Wang, H. P., Solomon, J., Sigmund, N. & Cao, J., 2024, Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 1. Mocellin, K., Bouchard, P.-O., Bigot, R. & Balan, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 680-691 12 p. (Lecture Notes in Mechanical Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Datasets
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JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science
Xue, T. (Contributor), Liao, S. (Contributor), Gan, Z. (Contributor), Park, C. (Contributor), Xie, X. (Contributor), Liu, W. K. (Contributor) & Cao, J. (Contributor), Mendeley Data, Jun 12 2023
DOI: 10.17632/hgwshjbcw6.1, https://data.mendeley.com/datasets/hgwshjbcw6
Dataset