STSEL Space Transportation Systems Engineering Laboratory

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INTRODUCTION

We aim to realise future space transportation systems for reliable and economical access-to-space and advanced space missions by thoroughly understanding physical phenomena and employing state-of-the-art design and optimisation methodologies in multidisciplinary and system engineering approaches. Our key focus areas include space transportation using advanced propulsion technologies, e.g., scramjet propulsion, combined cycle engines, electric propulsion systems, as well as challenging space missions including deep-space (lunar, interplanetary) missions, human space travel and rendezvous missions.

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FEATURES

NEWS

Lab
May 2022
Research student (Aric Bandera) arrived to join STSEL
Lab
April 2022
New Bachelor’s student members joined STSEL
Lab
April 2022
New Master’s student members joined STSEL
News
April 2022
Assistant Professor (tenure track) / 助教(公募)
Journal
April 2022
Article on Improved modeling for design optimization of cusped field thrusters with support of kinetic analysis published in Acta Astronautica first-authored by Mr Suk Hyun Yeo
Journal
March 2022
Article on Design optimization and off-design performance analysis of axisymmetric scramjet intakes for ascent flight published in Physics of Fluids first-authored by Dr Shuvayan Brahmachary
Conference
March 2022
Paper on Multi-Objective Design Optimisation of Scramjet and Rocket Powered Launch Vehicle toward Fully Reusable Space Transportation System presented by Prof Hideaki Ogawa at 61st Conference on Aerospace Propulsion and Power (第61回航空原動機・宇宙推進講演会)
Conference
March 2022
Paper on Sensitivity Analysis of Fluid Behavior in Scramjet Intakes via Deep Learning Flow Prediction presented by Mr Chihiro Fujio at 61st Conference on Aerospace Propulsion and Power (第61回航空原動機・宇宙推進講演会)
Conference
March 2022
Paper on Optimization of Fuel Injection for Scramjet Engines based on Automatic Differential via Deep Learning presented by Mr Kento Akiyama at 61st Conference on Aerospace Propulsion and Power (第61回航空原動機・宇宙推進講演会)
Conference
March 2022
Paper on Fast Prediction and Sensitivity Study of Two-Dimensional Fuel Injection Flowfields via Deep Learning presented by Mr Kento Akiyama at 33rd ISTS (International Symposium on Space Technology and Science)