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Proceedings Papers

Goal-Oriented Inverse Design (GoID) of Feedstock Filament for Fused Deposition Modeling

Angshuman Deka, Anand Balu Nellippallil, John Hall
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A032, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70503
https://doi.org/10.1115/DETC2021-70503
View Paper titled, Goal-Oriented Inverse Design (GoID) of Feedstock Filament for Fused Deposition Modeling
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Topics: Additive manufacturing, Design, Feedstock, Modeling
Proceedings Papers

A Blockchain Platform for Protecting Intellectual Property: Implications for Additive Manufacturing

Behzad Esmaeilian, Angshuman Deka, Sara Behdad
Proc. ASME. IDETC-CIE2019, Volume 4: 24th Design for Manufacturing and the Life Cycle Conference; 13th International Conference on Micro- and Nanosystems, V004T05A011, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98293
https://doi.org/10.1115/DETC2019-98293
View Paper titled, A Blockchain Platform for Protecting Intellectual Property: Implications for Additive Manufacturing
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Topics: Additive manufacturing, Blockchain technology, Design, Intellectual property
Proceedings Papers

OAPS: An Optimization Algorithm for Part Separation in Assembly Design for Additive Manufacturing

Angshuman Deka, Sara Behdad
Proc. ASME. IDETC-CIE2018, Volume 4: 23rd Design for Manufacturing and the Life Cycle Conference; 12th International Conference on Micro- and Nanosystems, V004T05A018, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85662
https://doi.org/10.1115/DETC2018-85662
View Paper titled, OAPS: An Optimization Algorithm for Part Separation in Assembly Design for Additive Manufacturing
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Topics: Additive manufacturing, Design, Manufacturing, Optimization algorithms, Separation (Technology), Cutting, Algorithms, Optimization, Shapes
Proceedings Papers

Predictive Modeling Techniques to Forecast Energy Demand in the United States: A Focus on Economic and Demographic Factors

Angshuman Deka, Nima Hamta, Behzad Esmaeilian, Sara Behdad
Proc. ASME. IDETC-CIE2015, Volume 4: 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- and Nanosystems, V004T05A027, August 2–5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DETC2015-47474
https://doi.org/10.1115/DETC2015-47474
View Paper titled, Predictive Modeling Techniques to Forecast Energy Demand in the United States: A Focus on Economic and Demographic Factors
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Topics: Artificial neural networks, Decision making, Modeling, Package on package, Regression analysis, Regression models
Journal Articles

Predictive Modeling Techniques to Forecast Energy Demand in the United States: A Focus on Economic and Demographic Factors

Angshuman Deka, Nima Hamta, Behzad Esmaeilian, Sara Behdad
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. March 2016, 138(2): 022001.
Paper No: JERT-15-1194
https://doi.org/10.1115/1.4031632
Published Online: October 15, 2015
View Article titled, Predictive Modeling Techniques to Forecast Energy Demand in the United States: A Focus on Economic and Demographic Factors
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Topics: Artificial neural networks, Package on package, Regression models, Energy consumption, Modeling