Grant: Discovery Grants Program - Individual
University of Windsor
$54,000.00
ORBITAL DEBRIS IMPACT SURVIVABILITY MODELS FOR ROBOTIC SATELLITES
EF 2024-25
Résumé
Traveling at hypersonic speeds (7 km/s and higher), orbital debris represents a major threat to satellites. Depending on the orbit and surface area, some spacecraft may experience tens of hypervelocity impacts of 1 - 10 mm orbital debris over their lifetime, resulting in failure and damage of flight- and mission-critical systems and, ultimately, leading to multibillion-dollar financial losses for spacecraft owners. As developing unmanned (robotic) satellites has always been the major component of Canada's space program, it is highly important to ensure the protection of these assets from such scenarios. The proposed research program's long-term objective is to develop efficient analysis tools-predictive orbital debris impact survivability models-for typical and prospective satellite structural arrangements, which designers can use to evaluate the consequences of debris impacts for satellite missions.
Using a combination of physical hypervelocity impact experiments and high-fidelity numerical simulations, this research program, in the short-term perspective, will focus on investigating the ballistic performance of sandwich panels-the most commonly used external elements of satellite structures. Besides structural functions, sandwich panels provide orbital debris protection for the internal impact-sensitive components of satellites (circuit boards, cables, pressurized propellant tanks, etc.). However, ballistic limit models currently employed by the industry to determine the perforation/no perforation thresholds of these important protective elements often fail to provide accurate predictions and suffer from multiple major limitations, including limited numbers of impact conditions and panel design parameters considered in their development. This study will advance the state-of-the-art by developing accurate ballistic limit models in the form of semi-empirical performance equations and artificial neural networks for a widely extended spectrum of sandwich panels' design parameters and impact conditions, enabling a high-precision survivability analysis of different satellite configurations involving such panels. The proposed developments are essential for designing next-generation lightweight robotic satellites, enabling multibillion-dollar cost avoidance through preventing mission failures, reducing satellite launching costs by avoiding over-conservative shielding designs, and allowing Canada to emerge as a leader in robotic satellite manufacturing.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2019-03922
Name nom
Cherniaev, Aleksandr
Department département
Mechanical, Automotive and Materials Engineering
Organization id
37
Institution établissement
University of Windsor
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2019
Award amount
54000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2108
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Aerospace, aeronautical and automotive engineering
Research subject fr
Génie aérospatial, aéronautique et automobile
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
ORBITAL DEBRIS IMPACT SURVIVABILITY MODELS FOR ROBOTIC SATELLITES
Keywords
robotic satellites; orbital debris impact; hypervelocity impact; survivability analysis; sandwich panels for impact protection; ballistic limit equations; numerical modeling; cellular materials; mesoscale modeling; physical impact testing
Application summary
Traveling at hypersonic speeds (7 km/s and higher), orbital debris represents a major threat to satellites. Depending on the orbit and surface area, some spacecraft may experience tens of hypervelocity impacts of 1 - 10 mm orbital debris over their lifetime, resulting in failure and damage of flight- and mission-critical systems and, ultimately, leading to multibillion-dollar financial losses for spacecraft owners. As developing unmanned (robotic) satellites has always been the major component of Canada's space program, it is highly important to ensure the protection of these assets from such scenarios. The proposed research program's long-term objective is to develop efficient analysis tools-predictive orbital debris impact survivability models-for typical and prospective satellite structural arrangements, which designers can use to evaluate the consequences of debris impacts for satellite missions.
Using a combination of physical hypervelocity impact experiments and high-fidelity numerical simulations, this research program, in the short-term perspective, will focus on investigating the ballistic performance of sandwich panels-the most commonly used external elements of satellite structures. Besides structural functions, sandwich panels provide orbital debris protection for the internal impact-sensitive components of satellites (circuit boards, cables, pressurized propellant tanks, etc.). However, ballistic limit models currently employed by the industry to determine the perforation/no perforation thresholds of these important protective elements often fail to provide accurate predictions and suffer from multiple major limitations, including limited numbers of impact conditions and panel design parameters considered in their development. This study will advance the state-of-the-art by developing accurate ballistic limit models in the form of semi-empirical performance equations and artificial neural networks for a widely extended spectrum of sandwich panels' design parameters and impact conditions, enabling a high-precision survivability analysis of different satellite configurations involving such panels. The proposed developments are essential for designing next-generation lightweight robotic satellites, enabling multibillion-dollar cost avoidance through preventing mission failures, reducing satellite launching costs by avoiding over-conservative shielding designs, and allowing Canada to emerge as a leader in robotic satellite manufacturing.