Kalabukhov, Dmitriy S.

2020

• 1 Kalabukhov D.S., Rad’ko V.M. Numerical Three-Dimensional Simulation of Gas Dynamic Processes in the Stage of a Small-Sized Ultra-Low Power Axial Turbine // Russian Aeronautics 2020. — Vol. 63. Issue 4. — P. 652-658

2019

• 1 Kalabukhov D.S. Influence of thermodynamic and regime parameters on the efficiency of a system of series connected low-power natural gas turbogenerators // Proceedings of the ASME Turbo Expo. — 2019. — Vol. 2C-2019.
• 2 Kalabuhov D.S., Grigoriev V.A., Zagrebelnyi A.O. etc. Updating the helicopter gas turbine engine mass model for the defining of the turboshaft engine optimal operating cycle parameters // Proceedings of the ASME Turbo Expo. — 2019. — Vol. 1.

2018

• 1 Kalabukhov D.S., Radko V.M., Grigoriev V.A. Optimizing Parameters of Axial Pressure-Compounded Ultra-Low Power Impulse Turbines at Preliminary Design // IOP Conference Series: Materials Science and Engineering. — 2018. — Vol. 302. Issue 1.

2017

• 1 Kalabukhov D.S., Martynov A.A. Selecting the best ultralow-power turbine at the conceptual-design stage // Russian Engineering Research 2017. — Vol. 37. Issue 4. — P. 300-309
• 2 Kalabukhov D.S., Grigoriev V.A., Rad'ko V.M. Selecting rational parameters for ultra-low power two-stage axial turbine with pressure stages // Proceedings of the ASME Turbo Expo. — 2017. — Vol. 2C-2017.

2016

• 1 Kalabukhov D.S. К определению областей рационального применения осевых, центростремительных и центробежных турбин сверхмалой мощности по их обобщенным характеристиках // To 2016. — № 9(678). — P. 53-61
• 2 Kalabuhov D.S. Исследование особенностей рабочего процесса в турбине сверхмалой мощности с диагональным рабочим колесом // Vestnik Moskovskogo aviatsionnogo instituta 2016. — Vol. 23. № 2. — P. 71-79

2015

• 1 Grigoriev V.A., Rad'ko V.M., Kalabuhov D.S. Представление характеристик малоразмерных турбин энергетических установок // Aviatsionno-kosmicheskaya tekhnika i tekhnologiya 2015. — № № 7(124). — P. 77-83
• 2 Grigor’ev V.A., Kalabukhov D.S., Rad’ko V.M. Application of neural network approximation methods in the generalization and presentation of the aircraft gas turbine engine turbomachinery characteristics // Russian Aeronautics 2015. — Vol. 58. Issue 1. — P. 48-53