Biography and Research Information
OverviewAI-generated summary
Chinmaya Joshi's research focuses on the measurement and mitigation of uncertainties in thermal conductivity, particularly using modified testing equipment such as the ASTM D5470 thermal resistance tester. His work includes the development and calibration of thermal resistance testing facilities and the measurement of out-of-plane thermal conductivity through steady-state heat conduction. Joshi also investigates the application of open datasets and machine learning for analyzing two-phase heat transfer phenomena, following a spatial-temporal taxonomy.
His research collaborations at the University of Arkansas at Fayetteville include extensive work with Stephen W. Pierson, Clancy Milam, Christy Dunlap, and Mohammad Ishraq Hossain. Joshi has also contributed to the integration of metal additive manufacturing using fused deposition modeling within mechanical engineering education.
Metrics
- h-index: 1
- Publications: 7
- Citations: 3
Positions
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Student publications 2024–2026University of Arkansas at Fayetteville Institution web page
Selected Publications
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Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy (2026)
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Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy (2026)
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Quantification and mitigation of uncertainties in thermal conductivity measurements using a modified ASTM D5470 thermal resistance tester (2025)
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Quantification and Mitigation of Uncertainties in Thermal Conductivity Measurements Using a Modified Astm D5470 Thermal Resistance Tester (2025)
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Measurement of Out-of-Plane Thermal Conductivity Using Steady-State Heat Conduction (2024)
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Integration of Metal Additive Manufacturing Using Fused Deposition Modeling in Mechanical Engineering Education (2024)
Collaboration Network
Top Collaborators
- Quantification and mitigation of uncertainties in thermal conductivity measurements using a modified ASTM D5470 thermal resistance tester
- Quantification and Mitigation of Uncertainties in Thermal Conductivity Measurements Using a Modified Astm D5470 Thermal Resistance Tester
- Integration of Metal Additive Manufacturing Using Fused Deposition Modeling in Mechanical Engineering Education
- Quantification and mitigation of uncertainties in thermal conductivity measurements using a modified ASTM D5470 thermal resistance tester
- Integration of Metal Additive Manufacturing Using Fused Deposition Modeling in Mechanical Engineering Education
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Quantification and mitigation of uncertainties in thermal conductivity measurements using a modified ASTM D5470 thermal resistance tester
- Quantification and Mitigation of Uncertainties in Thermal Conductivity Measurements Using a Modified Astm D5470 Thermal Resistance Tester
- Measurement of Out-of-Plane Thermal Conductivity Using Steady-State Heat Conduction
- Quantification and mitigation of uncertainties in thermal conductivity measurements using a modified ASTM D5470 thermal resistance tester
- Quantification and Mitigation of Uncertainties in Thermal Conductivity Measurements Using a Modified Astm D5470 Thermal Resistance Tester
- Quantification and mitigation of uncertainties in thermal conductivity measurements using a modified ASTM D5470 thermal resistance tester
- Quantification and Mitigation of Uncertainties in Thermal Conductivity Measurements Using a Modified Astm D5470 Thermal Resistance Tester
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Integration of Metal Additive Manufacturing Using Fused Deposition Modeling in Mechanical Engineering Education
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