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Multi-mode Sensor Technologies and Physical-data-informed Computational Tools to Enable the Next Generation Cold Spray Additive Manufacturing

Description: MULTI-MODE SENSOR TECHNOLOGIES AND PHYSICAL-DATA-INFORMED COMPUTATIONAL TOOLS TO ENABLE THE NEXT GENERATION COLD SPRAY ADDITIVE MANUFACTURING
Amount: $999,500
Funding type: grant
Funder scheme: MEASUREMENT AND ENGINEERING RESEARCH AND STANDARDS
Start date: 2021-01-01
End date: 2024-12-31
Funded outputs count: 4
Funder award ID: 70NANB21H007
OpenAlex ID: G8564755645
Effects of Spray Conditions and Heat Treatments on the Physical and Mechanical Properties of Al6061 Deposits Cold-Sprayed Using N2 Gas
2026 · Nirmal Rajpopat, Ahmad Nourian, et al. · Journal of Thermal Spray Technology
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Surrogate modelling of thermal and residual stress fields in cold-spray additive manufacturing using machine learning
2025 · Chunyang Xia, Scott Julien, et al. · Virtual and Physical Prototyping · 11
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Aeroacoustic Process Monitoring and Anomaly Detection in Cold Spray Additive Manufacturing
2025 · Ivan Arkhipov, Uğur Kokal, et al. · Journal of Thermal Spray Technology · 5
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In Situ Measurement of Track Shape in Cold Spray Deposits
2024 · Scott E. Julien, Nathaniel Hanson, et al. · Journal of Thermal Spray Technology · 4
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