Hannah D Budinoff
- Assistant Professor, Systems and Industrial Engineering
- Member of the Graduate Faculty
- (520) 621-3032
- ENGINEERING, Rm. 221
- TUCSON, AZ 85721-0020
- hdb@arizona.edu
Biography
Dr. Hannah Budinoff is an Assistant Professor of Systems and Industrial Engineering at the University of Arizona. Her research interests include additive manufacturing, geometric manufacturability analysis, design for manufacturing, sustainable design, and engineering education. She completed her PhD in 2019 in mechanical engineering at the University of California, Berkeley, where she was awarded an NSF Graduate Research Fellowship. She oversees the Manufacturing and Design Exploration (MADE) research group at the University of Arizona (https://sites.arizona.edu/made-lab/).
Degrees
- Ph.D. Mechanical Engineering
- University of California, Berkeley, Berkeley, California, United States
- M.S. Mechanical Engineering
- University of California, Berkeley, Berkeley, California, United States
- B.S. Mechanical Engineering
- University of Arizona, Tucson, Arizona, United States
Awards
- Remote Learning ABCs Competition
- New Engineering Educators Division of the American Society for Engineering Education, Summer 2021 (Award Finalist)
- Apprentice Faculty Grant
- Educational Research and Methods Division of the American Society for Engineering Education, Spring 2021
- Best Paper Award
- ASEE Design Graphics Division, Summer 2019
- Best diversity paper nominee
- ASEE Annual Conference and Exposition, Summer 2019
- Design Essay Competition winner
- NSF/American Society of Mechanical Engineers, awarded at ASME IDETC/CIE, Summer 2019
- Graduate Research Fellowship
- National Science Foundation, Fall 2015
Interests
Research
Design for additive manufacturing; Manufacturability analysis; Engineering education; Sustainable design; Sustainable manufacturing
Teaching
Engineering design; Additive manufacturing
Courses
2024-25 Courses
-
Design for Addit Manuf
SIE 481 (Fall 2024) -
Design for Addit Manuf
SIE 581 (Fall 2024) -
Dissertation
SIE 920 (Fall 2024) -
Master's Report
SIE 909 (Fall 2024)
2023-24 Courses
-
Dissertation
SIE 920 (Spring 2024) -
Int Manufacturing Sys
SIE 383 (Spring 2024) -
Research
SIE 900 (Spring 2024) -
Directed Research
SIE 492 (Fall 2023) -
Dissertation
SIE 920 (Fall 2023) -
Research
SIE 900 (Fall 2023)
2022-23 Courses
-
Master's Report
SIE 909 (Summer I 2023) -
Directed Research
SIE 492 (Spring 2023) -
Dissertation
SIE 920 (Spring 2023) -
Int Manufacturing Sys
SIE 383 (Spring 2023) -
Master's Report
SIE 909 (Spring 2023) -
Research
SIE 900 (Spring 2023) -
Design for Addit Manuf
SIE 481 (Fall 2022) -
Design for Addit Manuf
SIE 581 (Fall 2022) -
Dissertation
SIE 920 (Fall 2022) -
Intro Engr Design
ENGR 102B (Fall 2022)
2021-22 Courses
-
Internship
SIE 593 (Summer I 2022) -
Intro Engr Design
ENGR 102B (Fall 2021) -
Research
SIE 900 (Fall 2021) -
Senior Dsgn Projects II
SIE 498B (Fall 2021)
2020-21 Courses
-
Senior Design Projects I
SIE 498A (Spring 2021) -
Special Topics in SIE
SIE 496 (Fall 2020) -
Special Topics in SIE
SIE 596 (Fall 2020)
2019-20 Courses
-
Intro Engr Design
ENGR 102B (Spring 2020)
Scholarly Contributions
Journals/Publications
- Budinoff, H. D., & Kramer, J. (2022). ‘Earning your scars’: an exploratory interview study of design for manufacturing at hardware startups. Research in Engineering Design. doi:10.1007/s00163-022-00396-x
- Budinoff, H. D., & McMains, S. (2021). Will it print: a manufacturability toolbox for 3D printing. International Journal on Interactive Design and Manufacturing, 15(4), 613-630. doi:https://doi.org/10.1007/s12008-021-00786-w
- Budinoff, H. D., Bushra, J., & Shafae, M. (2021). Community-Driven PPE Production using Additive Manufacturing During the COVID-19 Pandemic: Survey and Lessons Learned. SME Journal of Manufacturing Systems.
- Budinoff, H. D., & Mcmains, S. (2020). Improving Outcomes and Participation in the Prototyping Process Using Design-for-Additive-Manufacturing Training. International Journal of Engineering Education, 36(4), 1170-1183.
- Budinoff, H. D., McMains, S., & Rinaldi, A. (2018). An interactive manufacturability analysis and tolerance allocation tool for additive manufacturing. Proceedings of the 2018 ASME IDETC-CIE Conference, 2A.
- Budinoff, H., & McMains, S. (2018). Prediction and visualization of achievable orientation tolerances for additive manufacturing. Procedia CIRP, 75, 81-86.
- Budinoff, H., & McMains, S. (2018). Relationships between spatial visualization ability and student outcomes in a 3D modeling course. The Engineering Design Graphics Journal, 82(2).
- Budinoff, H., Bhinge, R., & Dornfeld, D. (2016). A material-general energy prediction model for milling machine tools. Proceedings of the 2016 International Symposium on Flexible Automation (ISFA), 161-164.
Proceedings Publications
- Budinoff, H. D. (2021). Asset-based Approaches to Engineering Design Education: A Scoping Review of Theory and Practice. In ASEE Annual Conference and Exposition.
- Bushra, J., & Budinoff, H. D. (2021). Orientation Optimization in Additive Manufacturing: Evaluation of Recent Trends. In ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
- Budinoff, H. D. (2020, June). Engineering Graphics in a Community College Setting: Challenges and Opportunities. In ASEE Annual Conference & Exposition.
- Budinoff, H. D., Sun, Y., & McMains, S. (2020, August 2020). Comparison of Real-Time Geometric Analyses to Predict Warping Deformation in Fused Filament Fabrication. In ASME International Manufacturing Science and Engineering Conference, 84256.
- Budinoff, H. D. (2019). Underrepresented and International Student Success and Confidence in a Small, Lab-based CAD Class. In ASEE EDGD 73rd Mid Year Conference.
- Budinoff, H. D., Rinaldi, A., & McMains, S. (2018). An Interactive Manufacturability Analysis and Tolerance Allocation Tool for Additive Manufacturing. In ASME IDETC/CIE.More infoGeometric tolerances for new products are sometimes assigned without specific knowledge of the cost or feasibility of manufacturing them to the assigned tolerances, which can significantly drive up production costs and lead to delays and design revisions. We present an interactive tool that quickly estimates the manufacturability of assigned tolerances for additive manufacturing and a compact visualization to present this information to the designer. The designer can use the system to explore feasible build orientations and then adjust specified tolerance limits if all tolerances are not simultaneously achievable at a single orientation. After the designer is satisfied that the range of feasible orientations has been fully explored, a physical programming approach is used to identify a single orientation to best satisfy the designer’s preferences. The calculation and visualization of the results is done in real-time, enabling quick iteration. A test case is presented to illustrate the use of the tool.