Optimization procedure for electric propulsion engines
This thesis addresses the optimization of all types of space electrical propulsion thrusters. From the Langmuir-Irving payload mass fraction formulation, a "dual-optimum" solution is defined, yielding a minimum overall mass for a specified payload consistent with minimum transfer time. Thi...
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Monterey, California: Naval Postgraduate School
2012
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-134242014-11-27T16:10:22Z Optimization procedure for electric propulsion engines De Bellis, John J. Oscar Biblarz James Luscombe. This thesis addresses the optimization of all types of space electrical propulsion thrusters. From the Langmuir-Irving payload mass fraction formulation, a "dual-optimum" solution is defined, yielding a minimum overall mass for a specified payload consistent with minimum transfer time. This solution fixes the ideal payload mass ratio (m(pl / m(o)) at a value of 0.45, establishing the ratios of effective exhaust velocity (v / V(c)) and incremental change of vehicle velocity (deltau / V(c)) to characteristic velocity at 0.820 and 0.327 respectively. The characteristic velocity (V(c)) includes thrust time as well as engine efficiency (eta(t)) and specific power (alpha). A range of mass ratios from 0.35 to 0.55 is used in order to allow the system designer some flexibility while remaining close to optimal. Nine examples are presented which demonstrate that mission profiles can be optimized by profile-to-thruster matching. A comprehensive list of currently available electric propulsion engines is provided. This list details important parameters such as the specific power, which "sizes" an engine in terms of power provided to the thruster at the cost of additional mass. Allowance is, also made for a fuel tank mass penalty, and examples show that this can also noticeably influence the optimum design. 2012-09-07T15:34:07Z 2012-09-07T15:34:07Z 1999-12 Thesis http://hdl.handle.net/10945/13424 en_US Approved for public release, distribution unlimited. Monterey, California: Naval Postgraduate School |
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This thesis addresses the optimization of all types of space electrical propulsion thrusters. From the Langmuir-Irving payload mass fraction formulation, a "dual-optimum" solution is defined, yielding a minimum overall mass for a specified payload consistent with minimum transfer time. This solution fixes the ideal payload mass ratio (m(pl / m(o)) at a value of 0.45, establishing the ratios of effective exhaust velocity (v / V(c)) and incremental change of vehicle velocity (deltau / V(c)) to characteristic velocity at 0.820 and 0.327 respectively. The characteristic velocity (V(c)) includes thrust time as well as engine efficiency (eta(t)) and specific power (alpha). A range of mass ratios from 0.35 to 0.55 is used in order to allow the system designer some flexibility while remaining close to optimal. Nine examples are presented which demonstrate that mission profiles can be optimized by profile-to-thruster matching. A comprehensive list of currently available electric propulsion engines is provided. This list details important parameters such as the specific power, which "sizes" an engine in terms of power provided to the thruster at the cost of additional mass. Allowance is, also made for a fuel tank mass penalty, and examples show that this can also noticeably influence the optimum design. |
author2 |
Oscar Biblarz |
author_facet |
Oscar Biblarz De Bellis, John J. |
author |
De Bellis, John J. |
spellingShingle |
De Bellis, John J. Optimization procedure for electric propulsion engines |
author_sort |
De Bellis, John J. |
title |
Optimization procedure for electric propulsion engines |
title_short |
Optimization procedure for electric propulsion engines |
title_full |
Optimization procedure for electric propulsion engines |
title_fullStr |
Optimization procedure for electric propulsion engines |
title_full_unstemmed |
Optimization procedure for electric propulsion engines |
title_sort |
optimization procedure for electric propulsion engines |
publisher |
Monterey, California: Naval Postgraduate School |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/13424 |
work_keys_str_mv |
AT debellisjohnj optimizationprocedureforelectricpropulsionengines |
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