<i>Asfaloth</i> : Sounding Rocket for Transonic Aerodynamics Research and Indigenous Space Development

Renewed global interests in high-speed flight have created a need for experimental platforms to probe the transonic to hypersonic regimes. Simultaneously, Taiwan’s New Space initiatives created a strong demand for rocket engineering talent. This paper introduces Asfaloth, a 6.21 m tall, 261 kg academic sounding rocket developed to address both needs. Asfaloth was designed to exceed Mach 1.2 and an apogee of 9000 m, powered by a polypropylene-[Formula: see text] hybrid engine that delivers [Formula: see text] in thrust and [Formula: see text] of total impulse. The engine is shared with HTTP-3A, a different indigenous rocket targeting the Kármán Line, using a common core approach to accelerate propulsion maturation. Onboard, Asfaloth was designed to support ocean recovery, in-flight data downlink, and advanced payloads such as event-based imaging diagnostic experiments. A successful subscale launch with [Formula: see text] total impulse has been demonstrated, operating from Taiwan’s new Xuhai Short-Term Scientific Research Sounding Rocket Launch Site. In spite of telemetry loss, video analysis of the flight showed reliable departure from the launch rail. Summarily, by integrating a high-speed flight-inspired motivator with academic training, Asfaloth represents a notable milestone in Taiwan’s New Space initiatives and provides a versatile platform for future flight experiments.

Authors

Institutions

Publication Details

Journal
Journal of Spacecraft and Rockets
Published
2025-11-06
DOI
https://doi.org/10.2514/1.a36449
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Asfaloth : Sounding Rocket for Transonic Aerodynamics Research and Indigenous Space Development

Ta-Chen Wang, Zu Puayen Tan, Jong‐Shinn Wu, Chih‐Kai Chang et al.
Journal of Spacecraft and Rockets
Computational Fluid Dynamics and Aerodynamics
article

Asfaloth : Sounding Rocket for Transonic Aerodynamics Research and Indigenous Space Development

Ta-Chen Wang, Zu Puayen Tan, Jong‐Shinn Wu, Chih‐Kai Chang, Jui-Cheng Hsu, Yu‐Chieh Cheng, Tsung-Lin Chen, Kuei‐Hu Chang, Yia‐Chung Chang, J. Tan, Andrew Wang, Minghao Wang, Kyle Hsu, Jia-Ming Tan, Yu-Chun Peng, Tun-Ching Yang, Shih-Sin Wei, Tzu-Hao Chou, Yi-Yuan Lin, Hsi-Yu Tso
article en

Abstract

Renewed global interests in high-speed flight have created a need for experimental platforms to probe the transonic to hypersonic regimes. Simultaneously, Taiwan’s New Space initiatives created a strong demand for rocket engineering talent. This paper introduces Asfaloth, a 6.21 m tall, 261 kg academic sounding rocket developed to address both needs. Asfaloth was designed to exceed Mach 1.2 and an apogee of 9000 m, powered by a polypropylene-[Formula: see text] hybrid engine that delivers [Formula: see text] in thrust and [Formula: see text] of total impulse. The engine is shared with HTTP-3A, a different indigenous rocket targeting the Kármán Line, using a common core approach to accelerate propulsion maturation. Onboard, Asfaloth was designed to support ocean recovery, in-flight data downlink, and advanced payloads such as event-based imaging diagnostic experiments. A successful subscale launch with [Formula: see text] total impulse has been demonstrated, operating from Taiwan’s new Xuhai Short-Term Scientific Research Sounding Rocket Launch Site. In spite of telemetry loss, video analysis of the flight showed reliable departure from the launch rail. Summarily, by integrating a high-speed flight-inspired motivator with academic training, Asfaloth represents a notable milestone in Taiwan’s New Space initiatives and provides a versatile platform for future flight experiments.

Journal of Spacecraft and Rockets
National Yang Ming Chiao Tung University (TW)
Openalex Percentile: Top 65%
Computational Fluid Dynamics and Aerodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.