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Xinyi Xiao

Title: Assistant Professor

Department: Mechanical Engineering

College: College of Engineering

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Pennsylvania State University, 2020
    Major: Industrial Engineering
  • MS, Pennsylvania State University, 2017
    Major: Industrial Engineering

Current Scheduled Teaching

MFET 4210.001CAD/CAM System OperationsSpring 2025
MFET 4210.101CAD/CAM System OperationsSpring 2025
MEEN 6940.757Individual ResearchSpring 2025
MEEN 6940.746Individual ResearchFall 2024
MSET 5030.001Product Design and DevelopmentFall 2024

Previous Scheduled Teaching

MEET 3750.001Digital ManufacturingSpring 2024 Syllabus SPOT
MEEN 6940.757Individual ResearchSpring 2024
MEEN 5520.001Manufacturing Concepts for Mechanical EngineersFall 2023 SPOT

Published Intellectual Contributions

    Journal Article

  • Chen, C., Li, S., Lin, C., Yang, Y., Gao, C., Li, Y., Xiao, X., Zhou, W., Shuai, C. (2023). Laser printed amorphous magnesium alloy: Microstructure, mechanical properties and degradation behavior. Elsevier.
  • Li, H., Jiang, Z., Li, Z., Zhang, Q., Xiao, X. (2023). The Interface Strengthening of Multi-Walled Carbon Nanotubes/Polylactic Acid Composites via the In-Loop Hybrid Manufacturing Method. Polymer.
  • Zhang, Z., Wang, S., Liu, H., Wang, L., Xiao, X. (2023). Effects of Hatch Distance on the Microstructure and Mechanical Anisotropy of 316 L Stainless Steel Fabricated by Laser Powder Bed Fusion. Journal of Materials Engineering and Performance.
  • Pandeya, S.P., Zou, S., Roh, B., Xiao*, X. (2022). Programmable Thermo-Responsive Self-Morphing Structures Design and Performance. Materials.
  • Xiao, X., Chu, B., Zhang, Z. (2022). Quality Quantification and Control via Novel Self-Growing Process-Quality Model of Parts Fabricated by LPBF Process. Materials.
  • Xiao, X., Roh, B., Hamilton, C. (2022). Porosity management and control in powder bed fusion process through process-quality interactions. CIRP Journal of Manufacturing Science and Technology.
  • Zou, S., Xiao, X., Li, Z., Liu, M., Zhu, C., Zhu, Z., Chen, C., Zhu, F. (2022). Comprehensive investigation of residual stress in selective laser melting based on cohesive zone model. Materials Today.
  • Zou, S., Pang, L., Xu, C., Xiao*, X. (2022). Effect of Process Parameters on Distortions Based on the Quantitative Model in the SLM Process. Applied Sciences.
  • Li, R., Xiao, H., Xiao*, X., Zhang, J., Pan, L. (2022). Torsional Deformation Analysis of Large Miter Gate under Different Operating Conditions. Energies.
  • Xiao, X., Waddell, C., Hamilton, C., Xiao, H. (2022). Quality Prediction and Control in Wire Arc Additive Manufacturing via Novel Machine Learning Framework. Micromachines.
  • Xiao, X., Xiao, H. (2021). Autonomous robotic feature-based freeform fabrication approach. Materials.
  • Zhu, F., Xiao, X., Liu, M., Zhu, C., Tian, Y., Zou, S. (2021). Relation between the elastic stretchability of stretchable electronics and the cell size of the cellular substrate. Results in Physics.
  • Xiao, X., Joshi, S., Cecil, J. (2021). Critical assessment of Shape Retrieval Tools (SRTs). The international journal of advanced manufacturing technology.
  • Xiao, X., Roh, B., Zhu, F. (2021). Strength Enhancement in Fused Filament Fabrication via the Isotropy Toolpath. Applied Sciences.
  • Xiao, X., Joshi, S. (2020). Process planning for five-axis support free additive manufacturing. Additive Manufacturing. 36 Elsevier.
  • Xiao, X., Joshi, S. (2018). Automatic toolpath generation for heterogeneous objects manufactured by directed energy deposition additive manufacturing process. Journal of Manufacturing Science and Engineering.

Contracts, Grants and Sponsored Research

    Grant - Research

  • Xiao, X. (Principal), "Additive Manufacturing with 3D printing with metals - 5 axis Hybrid Manufacturing," sponsored by ORNL, DOE, Federal, $100000 Funded. (2023 - 2024).
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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