Zipeng Guo Headshot

Zipeng Guo

Assistant Professor

Department of Industrial and Systems Engineering
Kate Gleason College of Engineering

585-475-2632
Office Location

Zipeng Guo

Assistant Professor

Department of Industrial and Systems Engineering
Kate Gleason College of Engineering

Select Scholarship

  1. Zipeng Guo, Fan Fei, Xuan Song, and Chi Zhou. "Analytical Study and Experimental Verification of Shear-Thinning Ink Flow in Direct Ink Writing Process" Journal of Manufacturing Science and Engineering 145, no. 07 (2023): 071001.
  2. Ruizhe Yang, Zipeng Guo*, Zhaohan Yu, Fengyin Du, Vashin Gautham Nanjangud Thyagaraja, Leqi Lin, R. Yu Dylan et al. "3D-Printed Conducting Polymer Hydrogel-based DC Generator for Self-powered Electromechanical Sensing." Nano Energy (2023): 108857.
  3. Di Luigi, Massimigliano, Donald Petit, Arpita Sarkar, Zipeng Guo, Chi Zhou, and Shenqiang Ren. "Tailoring biogenic straw insulation from additive manufacturing." Applied Materials Today 32 (2023): 101851.
  4. Lee, Meng-Lun, Arpita Sarkar, Zipeng Guo, Chi Zhou, Jason N. Armstrong, and Shenqiang Ren. "Additive manufacturing of eco-friendly building insulation materials by recycling pulp and paper." Nanoscale Advances 5, no. 9 (2023): 2547-2552.
  5. Zipeng Guo, Lu An, Saurabh Khuje, Aditya Chivate, Jiao Li, Yiquan Wu, Yong Hu, Jason Armstrong, Shenqiang Ren, and Chi Zhou. "3D-Printed Electrically Conductive Silicon Carbide." Additive Manufacturing 59, Part A, (2022): 103109.
  6. Zipeng Guo, Lu An, Sushil Lakshmanan, Jason N Armstrong, Shenqiang Ren, and Chi Zhou. " Additive Manufacturing of Porous Ceramics with Foaming Agent.Journal of Manufacturing Science and Engineering 144, no. 02 (2022): 021010.
  7. Lu An, Zipeng Guo*, Zheng Li, Yu Fu, Yong Hu, Yulong Huang, Fei Yao, Chi Zhou, and Shenqiang Ren. "Tailoring thermal insulation architectures from additive manufacturing." Nature communications 13, no. 1 (2022): 1-7.
  8. Yong Hu, Zipeng Guo, Yingjie Chen, Chi Zhou, Yugang Li, and Shenqiang Ren. " Molecular magneto-ionic proton sensor in solid-state proton battery." Nature communications 13, no. 7056 (2022): 1-9.
  9. Yong Hu, Jennifer L. Gottfried, Rose Pesce-Rodriguez, Chi-Chin Wu, Scott D. Walck, Zhiyu Liu, Sangeeth Balakrishnan, Zipeng Guo, et al. "Releasing chemical energy in spatially programmed ferroelectrics." Nature Communications 13, no. 6959 (2022): 1-9.
  10. Massimigliano Di Luigi, Zipeng Guo, Lu An, Jason N. Armstrong, Chi Zhou, and Shenqiang Ren. "Manufacturing silica aerogel and cryogel through ambient pressure and freeze drying." RSC advances 12, no. 33 (2022): 21213-21222.
  11. Lu An, Jason N Armstrong, Yong Hu, Yulong Huang, Zheng Li, Donghui Zhao, Jesse Sokolow, Zipeng Guo, Chi Zhou, Shenqiang Ren. " High temperature ceramic thermal insulation material." Nano Research 15 (2022): 6662-6669.
  12. Hu, Yong, Taishan Zhu, Zipeng Guo*, Henna Popli, Hans Malissa, Yulong Huang, Lu An et al. "Printing Air-Stable High-T c Molecular Magnet with Tunable Magnetic Interaction." Nano Letters (2022): 545-553.

Currently Teaching

ISEE-741
3 Credits
This course begins with an introduction to commercial rapid prototyping processes, the materials involved, and the physics behind how they work. The course then transitions to research topics involving novel processes, applications, and materials. Class activities include a mix of lecture, lab, and project work.
ISEE-742
3 Credits
This course provides students with depth in the topics of metal additive manufacturing and composite additive manufacturing. For metal AM, established processes such as powder bed fusion, binder jetting, and bound particle extrusion will be covered along with emerging processes such as molten metal droplet jetting, cold spray, friction stir, and wire arc. The composite AM portion of the course will focus on polymer matrix composite materials. The fundamentals of how fiber reinforcement and the polymer matrix interact will be covered, as will strategies for optimizing material properties though local control of fiber orientation. Students will use design tools for light weighting of structures via engineered lattice structures, generative design, and topology optimization. Students are expected to have previous introductory experience with 3D printing and computer-aided design.