Award Abstract # 2202179
Improving and Modernizing Machinist Training and Education for Machining Workforce Preparation in the Finger Lakes Region of New York

NSF Org: DUE
Division Of Undergraduate Education
Recipient: ROCHESTER INSTITUTE OF TECHNOLOGY
Initial Amendment Date: April 19, 2022
Latest Amendment Date: November 12, 2024
Award Number: 2202179
Award Instrument: Standard Grant
Program Manager: Virginia Carter
vccarter@nsf.gov
 (703)292-4651
DUE
 Division Of Undergraduate Education
EDU
 Directorate for STEM Education
Start Date: July 1, 2022
End Date: June 30, 2026 (Estimated)
Total Intended Award Amount: $649,257.00
Total Awarded Amount to Date: $649,257.00
Funds Obligated to Date: FY 2022 = $649,257.00
History of Investigator:
  • Rui Liu (Principal Investigator)
    rleme@rit.edu
  • Dean Laury (Co-Principal Investigator)
  • YUNBO ZHANG (Co-Principal Investigator)
  • John Troy (Former Co-Principal Investigator)
  • Kenneth Nowicki (Former Co-Principal Investigator)
Recipient Sponsored Research Office: Rochester Institute of Tech
1 LOMB MEMORIAL DR
ROCHESTER
NY  US  14623-5603
(585)475-7987
Sponsor Congressional District: 25
Primary Place of Performance: Rochester Institute of Tech
1 Lomb Memorial Drive
Rochester
NY  US  14623-5603
Primary Place of Performance
Congressional District:
25
Unique Entity Identifier (UEI): J6TWTRKC1X14
Parent UEI:
NSF Program(s): Advanced Tech Education Prog
Primary Program Source: 04002223DB NSF Education & Human Resource
Program Reference Code(s): SMET, 9178, 1032
Program Element Code(s): 741200
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

Machining is an essential component of the manufacturing process that has played a significant role in every industrial revolution. Machinists, as machine tool operators, are important members of the skilled technical workforce, and require long-term and professional training or education. As many new concepts and technologies are being introduced in the machining industry to satisfy the requirements of Industry 4.0, the corresponding revision of machinist training must also take place. This project will improve and modernize existing machinist training and education in response to the new requirements of the machining industry in the era of Industry 4.0. It is expected that the local machining industry, an important economic pillar of the Finger Lakes region in New York State, will benefit significantly from increasing the pool of available skilled workers and meeting the new demands of machining knowledge and skills.

The overall goals of this project are to 1) improve existing machining training and education programs in response to the skill and knowledge requirements of 21st century interdisciplinary themes, 2) modernize existing machinist training and education using innovative methods and advanced technologies to improve trainee engagement and learning efficiency, 3) expand the machining workforce by increasing the accessibility and flexibility of machinist training and education to various stakeholders, and 4) facilitate machinist training/education interworking and resource sharing among training providers. All project results will be disseminated throughout New York State as well as the entire United States through collaborations with New York Manufacturing Extension Partnership (NY MEP) and Boards of Cooperative Educational Services (BOCES) of New York State to maximize their impact. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the Nation's economy.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Jarosz, Krzysztof and Gard-Thompson and Peng, Chao and Liu, Rui "Implementation of Actionable Gamification Design Framework in Machining Training" ASEE annual conference exposition , 2023 Citation Details
Jarosz, Krzysztof and Chen, Yan-Ting and Liu, Rui "Investigating the differences in human behavior between conventional machining and CNC machining for future workforce development: A case study" Journal of Manufacturing Processes , v.96 , 2023 https://doi.org/10.1016/j.jmapro.2023.04.037 Citation Details
Jarosz, Krzysztof Kamil and Chen, Yan-Ting and Gard-Thompson, Trisha and Davis, Mark and Zhang, Yunbo and Liu, Rui "Exploring Career Growth for Deaf and Hard-of-Hearing Individuals via Machining Training: A Comparative Behavioral Analysis" ASEE annual conference proceedings , 2024 Citation Details

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