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

Allison, Darcy L.; Morris, Craig C.; Schetz, Joseph A.; Kapania, Rakesh K.; Watson, Layne T.; Deaton, Joshua D.

doi:10.12989/aas.2015.2.1.017

Cited by 13 publications

(9 citation statements)

References 12 publications

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“…Besides a large number of studies of product design had been made on the PLM like the product concept design, the detailed design, the production and etc. [35][36][37][38][39], but there was no relevant research on the stage of customer requirement analysis.…”

Section: 2requirement Analysismentioning

confidence: 99%

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Ding

Qin

et al. 2017

Chin. J. Mech. Eng.

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： The customer requirement modeling is a highly important part of a product development process for understanding the customers and market needs. But with the increasing of complexity of complex mechatronic products, it is necessary to involve multidisciplinary design teams, thus, the traditional customer requirements modeling for a single discipline team becomes difficult to be applied in a multidisciplinary team and project since team members with various disciplinary backgrounds may have different interpretations of the customers' requirements. This paper provides a new synthesized multidisciplinary customer requirements modeling method for obtaining and describing the common understanding of customer requirements and more importantly transferring them into a detailed and accurate product design specifications (PDS) to interact with different team members effectively. A case study of designing a high speed train verifies the rationality and feasibility of the proposed multidisciplinary requirement modeling method for complex mechatronic product development.Key words: complex mechatronic product, multidisciplinary customer requirements modeling, disciplinary specialty language dictionary, high-speed train 1.IntroductionWith the mass customization of product design and development, the individuality and diversity of customer requirements for a complex mechatronic product is ever increasing, the manufacturer enterprises are facing tremendous pressures and challenges to deal with the diverse and rapid changing customer and market requirements. The traditional "product-centric" design method for complex mechatronic products has been unable to adapt to the growing market competition, therefore, the enterprises should shift the design focus to the "customer-centric" design methods for complex mechatronic products. Customer requirement modeling thus becomes a highly significant part of a product development process and it also has been a research topic for years and used in the field of system and software development [1].The ultimate purpose of traditional customer requirements modeling is that realizes the mapping of CRs in the customer domain to PDS (a formalized specification of customers' requirements and a list of the product performance, environment, quality, reliability, security, life cycle and other elements with considering performance and cost constraints, design inputs, constraints and goals and so on [30]) in the designer domain to improve the development efficiency and reduce the development cost. Through many years of research and application, the process of traditional customer requirements modeling, encompassing requirement elicitation, requirement analysis and requirement verification, has been formed into a standardization process from a system and software engineering point of view [2]. The requirement elicitation is to extract Biographical notesMA Xiaojie, born in 1986, is currently a PhD candidate at Institute of Advanced Design and Manufacturing,

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Section: 2requirement Analysismentioning

confidence: 99%

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Ding

Qin

et al. 2017

Chin. J. Mech. Eng.

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show abstract

“…16,17 Some work at synthesis has also been completed by each of these groups as well. 9–12,18,19 Not surprisingly, no two resulting ESAV configurations have been the same.…”

Section: Introductionmentioning

confidence: 98%

“…An “optimal” aircraft will have a different meaning to different end-users because optimality depends on the design criterion considered to be the most important, be it smallest take-off gross weight (TOGW), highest lift-to-drag ratio, lowest fuel burn, lowest cost, some combination of objective functions, etc. This work focuses on exploring the design space and optimizing an efficient supersonic air vehicle (ESAV) 9,10 for minimum TOGW. An ESAV can fly supersonically over long ranges and will follow a similar mission profile as that shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…To this end, a new multifidelity multidisciplinary design optimization (MDO) framework has been recently created to analyze and optimize an ESAV. This framework includes various multifidelity disciplinary simulation models that are described in detail elsewhere, 9,10 and cannot be included within the scope of this paper. The interested reader is highly encouraged to refer to Allison et al.…”

Section: Introductionmentioning

confidence: 99%

“…The interested reader is highly encouraged to refer to Allison et al. 9 It is sufficient to say here that the low-fidelity codes are typically linear or empirical codes widely used to perform conceptual design. The low-fidelity codes are mainly found within the venerable flight optimization system (FLOPS) software package, 20 and the relevant aircraft used by FLOPS to form the empirical relationships is given in Allison et al.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reevaluating conceptual design fidelity: An efficient supersonic air vehicle design case

Allison

Morris

Schetz

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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Multifidelity and multidisciplinary design optimization (MDO) results for an efficient supersonic air vehicle (ESAV) are presented. This work builds upon previous published work that created a multifidelity and multidisciplinary analysis and design optimization framework. Based on the usual aircraft conceptual design assumption that low-fidelity analyses are capable of converging upon a design through MDO that would at least be representative of that which would be predicted by higher fidelity methods, a process is created to allow low-fidelity multidisciplinary analysis runs to guide the higher fidelity optimization in an effort to reduce the total required computational expense. Due to disparate physical simulation results between the different fidelity levels, the expected reduction in computational effort was not realized. A separate low-fidelity optimization and a higher fidelity optimization were then subsequently performed. A MDO method that required an order of magnitude fewer objective function evaluations than the low-fidelity MDO method was developed to perform the more computationally expensive higher fidelity MDO in the full ESAV design space. Although optimal low-fidelity and higher fidelity ESAV configurations are identified, the low-fidelity optimal solution is infeasible when analyzed with the higher fidelity framework, and vice versa. This was a surprising and unexpected result as these two fidelity level model suites were developed by the same team for the same aircraft. The common assumption that low-fidelity MDO design methods will find a feasible design close to the eventual higher fidelity design did not hold for the ESAV case. Sensitivity studies were performed around the optimal design to gain insight into this important region of the design space with respect to the particular fidelity level models used.

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Reliability-based and deterministic design optimization of a FSAE brake pedal: a risk allocation analysis

Romero

Queipo

2017

Struct Multidisc Optim

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

Cited by 13 publications

References 12 publications

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Reevaluating conceptual design fidelity: An efficient supersonic air vehicle design case

Reliability-based and deterministic design optimization of a FSAE brake pedal: a risk allocation analysis

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