Punnag Chatterjee

Elfering, K., Metoyer, R., Chatterjee, P., Mazzoleni, A., Bryant, M., & Granlund, K. (2023). Blade element momentum theory for a skewed coaxial turbine. OCEAN ENGINEERING, 269. https://doi.org/10.1016/j.oceaneng.2022.113555

Metoyer, R., Chatterjee, P., Elfering, K., Bryant, M., Granlund, K., & Mazzoleni, A. (2021). Modeling, simulation, and equilibrium analysis of tethered coaxial dual-rotor ocean current turbines. ENERGY CONVERSION AND MANAGEMENT, 243. https://doi.org/10.1016/j.enconman.2021.113929

Chatterjee, P., & Bryant, M. (2019). Analysis of tension-tunable clamped-clamped piezoelectric beams for harvesting energy from wind and vibration. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 30(16), 2405–2420. https://doi.org/10.1177/1045389X19862390

Khatri, D. N., Chatterjee, P., Metoyer, R., Mazzoleni, A. P., Bryant, M., & Granlund, K. O. (2019). Dual-Actuator Disc Theory for Turbines in Yaw. AIAA JOURNAL, 57(5), 2204–2208. https://doi.org/10.2514/1.J057740

Chatterjee, P., & Bryant, M. (2018). Aeroelastic-photovoltaic ribbons for integrated wind and solar energy harvesting. SMART MATERIALS AND STRUCTURES, 27(8). https://doi.org/10.1088/1361-665x/aacbbb

Chatterjee, P., & Bryant, M. (2016). Aeroelastic modeling of a Piezo-Solar tensioned energy harvesting ribbon. ACTIVE AND PASSIVE SMART STRUCTURES AND INTEGRATED SYSTEMS 2016, Vol. 9799. https://doi.org/10.1117/12.2222109

Chatterjee, P., & Bryant, M. (2015, September). Structural modelling of a compliant flexure flow energy harvester. SMART MATERIALS AND STRUCTURES, Vol. 24. https://doi.org/10.1088/0964-1726/24/9/094007

Chatterjee, P., & Bryant, M. (2015). Transfer Matrix Modeling of a Tensioned Piezo-Solar Hybrid Energy Harvesting Ribbon. Active and passive smart structures and integrated systems 2015, 9431. https://doi.org/10.1117/12.2086138

Chatterjee, P., & Bryant, M. (2014). Design of a compliant flexure joint for use in a flow energy harvester. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2014, vol 2. https://doi.org/10.1115/smasis2014-7503