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Understanding the six-component thrust vector of an onboard propulsion system is essential for ensuring high-quality thrust and torque in advanced CubeSat missions, as propulsion systems may produce unintended thrust components such as side thrust, disturbance torques, or swirl torques. This paper proposes and demonstrates an elastic pendulum six-degree-of-freedom thrust stand designed to measure all thrust components of a propulsion system for CubeSats. Conventional six-degree-of-freedom thrust stands struggle to measure thrust in the mN class or lower due to the low thrust-to-weight ratio of propulsion systems. The proposed thrust stand addresses this limitation by using springs to support the propulsion system, forming an elastic pendulum to improve the effective thrust-to-weight ratio. The linearity and functionality of the thrust stand were confirmed through the mechanical characterization of the stiffness matrix. A null-balance method, in which the thrust stand is controlled by six voice coil motors, was implemented for six-degree-of-freedom thrust measurement. The thrust stand was demonstrated by measuring a 10 mN-class cold-gas thruster, showing measurement uncertainties of within 0.82 mN for thrust vector components and within 0.13 mN m for torque components. These uncertainties were derived based on the uncertainty propagation of individual components of the thrust stand.
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http://dx.doi.org/10.1063/5.0248049 | DOI Listing |
Rev Sci Instrum
September 2025
LAPLACE, Université de Toulouse, CNRS, INPT, UPS, 118 route de Narbonne, 31062 Toulouse, France.
A two-axis thrust stand is developed and validated experimentally, enabling direct and simultaneous measurements of two components of the thrust vector of an electric thruster. It is made of two piled-up single-axis stages, each having a hanging deformable parallelogram geometry. A mass deposition calibration method is used to calibrate the thrust stand, including crosstalk between axes.
View Article and Find Full Text PDFSci Rep
July 2025
Central Labs, King Khalid University, AlQura'a, P.O. Box 960, Abha, Saudi Arabia.
Accurate prediction of oil production rates through wellhead chokes is critical for optimizing crude oil production and operational efficiency in the petroleum industry. The central thrust of this investigation involves the systematic creation of machine learning (ML) paradigms for the robust prediction of choke flow performance. This endeavor is rigorously informed by comprehensive data acquired from an operational petroleum production facility in the Middle East.
View Article and Find Full Text PDFJ Biomech
August 2025
Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy. Electronic address:
During starts and turns, between and within laps, the swimmer's velocity is not constant; thus, besides the drag force, the swimmer experiences an additional (inertial) force. Some of the water around the swimmer is set in motion and this can be thought of as an added mass (M) the swimmer has to accelerate (in addition to body mass, M): the higher M, the higher the resistive and inertial forces that oppose the swimmer's motion during acceleration phases. This study introduces a novel method to determine M, consisting of a standing start maximal test.
View Article and Find Full Text PDFRev Sci Instrum
April 2025
Department of Aeronautics and Astronautics, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.
Understanding the six-component thrust vector of an onboard propulsion system is essential for ensuring high-quality thrust and torque in advanced CubeSat missions, as propulsion systems may produce unintended thrust components such as side thrust, disturbance torques, or swirl torques. This paper proposes and demonstrates an elastic pendulum six-degree-of-freedom thrust stand designed to measure all thrust components of a propulsion system for CubeSats. Conventional six-degree-of-freedom thrust stands struggle to measure thrust in the mN class or lower due to the low thrust-to-weight ratio of propulsion systems.
View Article and Find Full Text PDFSci Rep
April 2025
School of Civil Engineering and Environment, Zhengzhou University of Aeronautics, No. 15 Wenyuan West Road, Zhengzhou, 450046, Henan, China.
During the construction of TBM tunnels, a substantial quantity of rock debris is generated, leading to significant land occupation and environmental pollution. Recycling rock debris into construction materials and other resources emerges as a viable solution to these problems. To realize the continuous classified storage and disposal of tunnel rock debris, this research explores the four-level processing network, establishes an objective function for evaluating the recycling value of tunnel rock debris during TBM tunneling, and grades the recycling value by calculating the weight and similarity of their performance indicators (uniaxial compressive strength, content of acicular and flattened particles, mud content, and crushing index) through the TOPSIS method.
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