scholarly journals Preliminary Sub-Systems Design Integrated in a Multidisciplinary Design Optimization Framework

2017 ◽  
Vol 2017 (4) ◽  
pp. 9-23
Author(s):  
Marco Fioriti ◽  
Luca Boggero ◽  
Sabrina Corpino
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Systems Design ◽  
Aircraft Design ◽  
Multidisciplinary Design ◽  
Design Parameters ◽  
Preliminary Design ◽  
Horizon 2020 ◽  
Optimization Framework ◽  
Complex Subject

Abstract The aircraft design is a complex subject since several and completely different design disciplines are involved in the project. Many efforts are made to harmonize and optimize the design trying to combine all disciplines together at the same level of detail. Within the ongoing AGILE (Horizon 2020) research, an aircraft MDO (Multidisciplinary Design Optimization) process is setting up connecting several design tools and competences together. Each tool covers a different design discipline such as aerodynamics, structure, propulsion and systems. This paper focuses on the integration of the sub-system design discipline with the others in order to obtain a complete and optimized aircraft preliminary design. All design parameters used to integrate the sub-system branch with the others are discussed as for their redefinition within the different detail level of the design.

Design of an Aircraft Brake Component Using an Interactive Multidisciplinary Design Optimization Framework

2000 ◽  
Vol 122 (1) ◽  
pp. 70-76 ◽  
Author(s):  
Marc A. Stelmack ◽  
Stephen M. Batill ◽  
Bryan C. Beck
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Aircraft Design ◽  
Multidisciplinary Design ◽  
Analysis Software ◽  
Commercial Aircraft ◽  
Design Improvement ◽  
Optimization Framework ◽  
Design Engineers ◽  
Performance Requirements

A multidisciplinary design optimization (MDO) framework has been used to design an aircraft brake assembly. This was done using a user-interactive implementation of the framework in which design information was obtained from analysis software used in industry but not developed for an MDO application. The design included a number of performance requirements associated with a brake that has been produced for a commercial aircraft. Design improvement was achieved using a practical number of system realizations and the interaction between the optimization algorithm and the design engineers was maintained throughout the process. [S1050-0472(00)00201-4]

scholarly journals Multidisciplinary Design Optimization Framework with Coupled Derivative Computation for Hybrid Aircraft

2020 ◽  
Vol 57 (4) ◽  
pp. 715-729 ◽  
Author(s):  
Alessandro Sgueglia ◽  
Peter Schmollgruber ◽  
Nathalie Bartoli ◽  
Emmanuel Benard ◽  
Joseph Morlier ◽  
...  
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design ◽  
Optimization Framework

scholarly journals Multifidelity Multidisciplinary Design Optimization of Integral Solid Propellant Ramjet Supersonic Cruise Vehicles

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Xiaojian Sun ◽  
Jianquan Ge ◽  
Tao Yang ◽  
Qiangqiang Xu ◽  
Bin Zhang
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Solid Propellant ◽  
Multidisciplinary Design ◽  
Preliminary Design ◽  
Flight Trajectory ◽  
Traditional Design ◽  
Study Results ◽  
Optimization Parameters ◽  
Different Levels

Integral solid propellant ramjet (ISPR) supersonic cruise vehicles share the characteristic that they are highly integrated configurations. The traditional design of vehicles cannot achieve a balance between computational expense and accuracy. A multifidelity multidisciplinary design optimization (MDO) platform has been developed in this study. The focus of the platform is on ISPR supersonic cruise vehicles. Firstly, codes of discipline with different levels of fidelity (LoF) were established, such as geometry, aerodynamics, radar cross-section calculations, propulsion, mass, and trajectory discipline codes. Secondly, two MDO frameworks were constructed through discipline codes. A low LoF MDO framework is suitable for conceptual design, and a medium LoF MDO framework is suitable for preliminary design. Finally, taking the optimization problem with the minimum overall detection probability of flight trajectory as an example, the low LoF framework first explores the entire design space to achieve the mission requirements, and then, the medium LoF MDO framework accepts the low LoF framework optimization parameters. Hence, the optimization target is reached with more detailed parameters and higher fidelity. Additionally, an example for a solid propellant missile with minimum total mass is tested by the platform. The study results show that the multifidelity MDO framework not only exploits interactions between the disciplines but also improves the accuracy of optimization results and reduces the iteration time.

Development of a multidisciplinary design optimization framework for an efficient supersonic air vehicle

2015 ◽  
Vol 2 (1) ◽  
pp. 17-44 ◽  
Author(s):  
Darcy L. Allison ◽  
Craig C. Morris ◽  
Joseph A. Schetz ◽  
Rakesh K. Kapania ◽  
Layne T. Watson ◽  
...  
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design ◽  
Optimization Framework ◽  
Air Vehicle

Multidisciplinary Design Optimization of Modular Industrial Robots

2011 ◽  
Author(s):  
Mehdi Tarkian ◽  
Johan Persson ◽  
Johan O¨lvander ◽  
Xiaolong Feng
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Structural Strength ◽  
Computational Cost ◽  
Industrial Robots ◽  
Multidisciplinary Design ◽  
Geometry Model ◽  
Optimization Framework ◽  
Speed Up ◽  
Multi Level

This paper presents a multidisciplinary design optimization framework for modular industrial robots. An automated design framework, containing physics based high fidelity models for dynamic simulation and structural strength analyses are utilized and seamlessly integrated with a geometry model. The proposed framework utilizes well-established methods such as metamodeling and multi-level optimization in order to speed up the design optimization process. The contribution of the paper is to show that by applying a merger of well-established methods, the computational cost can be cut significantly, enabling search for truly novel concepts.

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