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Opportunity at National Institute of Standards and Technology (NIST)

Advanced Intelligence for Zero Defect Manufacturing

Location

Engineering Laboratory, Intelligent Systems Division

RO# Location
50.73.51.B8258 Gaithersburg, MD

Please note: This Agency only participates in the February and August reviews.

Advisers

name email phone
Gregory William Vogl gvogl@nist.gov 301.975.3198

Description

Zero defect manufacturing (ZDM) in the era of Industry 4.0 has the potential to become the new standard by which companies lead the future towards sustainable and resilient manufacturing. ZDM incorporates big industrial data and digital methodologies such as artificial intelligence (AI) and machine learning (ML) into control loops that predict and prevent defects at both the product and process levels. ZDM is desired for subtractive, additive, hybrid, and semiconductor manufacturing processes to maximize production quality and quantity while minimizing waste. However, achieving this high level of resiliency and sustainability will rely on advanced intelligence, which is the fusion of on-machine measurement science and AI, for consistent production with zero defects. Advanced intelligence is envisioned as a disruptive catalyst for ZDM within Industry 4.0 to enable rapid manufacturing of new products based on dynamic product demands with real-time optimization of production. Manufacturers desire smart production machines that assess and predict their own health and the performance of manufacturing processes in real time to optimize production quality, resiliency, and sustainability.

This research project seeks to develop and deploy advanced intelligent solutions for zero defect manufacturing. Industrial applications include subtractive, additive, hybrid, and semiconductor manufacturing. These solutions use on-machine sensors for measurements before and during manufacturing processes, analyze the data with a fusion of metrological approaches and machine learning, and monitor and predict the performance of machines and their processes. For example, new methods may be developed to estimate cutting forces during milling of materials fashioned from additive manufacturing, track thermal drift of machine tools in real time during parts production, and diagnose deviations during semiconductor manufacturing.

Proposals to develop advanced intelligent methods for zero defect manufacturing are welcome. Our facilities support experimental work via laboratory testbeds and numerous vertical machining centers, and collaborations with manufacturers are highly encouraged. Furthermore, NIST provides computational resources and has an interest group for artificial intelligence that regularly meets, giving the successful applicant an opportunity to interact with a variety of NIST engineers and scientists.

Keywords:
Smart manufacturing; Intelligent manufacturing; Advanced manufacturing; Subtractive manufacturing; Additive manufacturing; Hybrid manufacturing, Semiconductor manufacturing; Zero defect manufacturing; Sustainable manufacturing; Data-driven manufacturing; Manufacturing; Production; Industry 4.0; Advanced intelligence; Artificial intelligence; Machine learning; Machines; Machine tools; Production machines; Semiconductors; Measurement science; Metrology; Sensors; Technology transfer

Eligibility

Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral applicants

Stipend

Base Stipend Travel Allotment Supplementation
$74,950.00 $3,000.00
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