The on-board systems are having even more importance in aircraft design since the continuous research for a competitive, more optimized and less costly aircraft. In addition, the introduction of new technologies related to the More Electric Aircraft and All Electric Aircraft concepts have raised the interest on on-board systems discipline giving the option of analyzing different architectures. The present paper would enhance the selection of the best on-board systems architecture introducing a new workflow, which is able to identify the best architecture in terms of procurement and operating cost. Since the importance of fuel required providing the secondary power, the effect of each specific architecture on engine performance is particularly considered including a detailed engine module. The workflow is implemented in Optimus framework within a collaborative and multidisciplinary environment and it is open to be integrated with additional modules increasing the fidelity of the analysis. To explore the capability of the defined workflow, the H2020 AGILE regional jet is identified as test case.

Automated Selection of the Optimal On-board Systems Architecture within MDO Collaborative Environment / Fioriti, Marco; Boggero, Luca; Corpino, Sabrina; Isyanov, Alik; Mirzoyan, Artur; Lombardi, Riccardo; D'Ippolito, Roberto. - ELETTRONICO. - (2017). ((Intervento presentato al convegno 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference tenutosi a Denver, Colorado (USA) nel 5-9 June 2017 [10.2514/6.2017-3150].

Automated Selection of the Optimal On-board Systems Architecture within MDO Collaborative Environment

FIORITI, MARCO;BOGGERO, LUCA;CORPINO, Sabrina;
2017

Abstract

The on-board systems are having even more importance in aircraft design since the continuous research for a competitive, more optimized and less costly aircraft. In addition, the introduction of new technologies related to the More Electric Aircraft and All Electric Aircraft concepts have raised the interest on on-board systems discipline giving the option of analyzing different architectures. The present paper would enhance the selection of the best on-board systems architecture introducing a new workflow, which is able to identify the best architecture in terms of procurement and operating cost. Since the importance of fuel required providing the secondary power, the effect of each specific architecture on engine performance is particularly considered including a detailed engine module. The workflow is implemented in Optimus framework within a collaborative and multidisciplinary environment and it is open to be integrated with additional modules increasing the fidelity of the analysis. To explore the capability of the defined workflow, the H2020 AGILE regional jet is identified as test case.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2675400
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