Collaborative multidisciplinary design optimization: A framework applied on aircraft conceptual system design

Safavi, Edris; Tarkian, Mehdi; Gavel, Hampus; Ölvander, Johan

doi:10.1177/1063293x15587020

Cited by 21 publications

(35 citation statements)

References 38 publications

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“…In this respect, MDO can be a decisive factor since it has been shown to bring people from all departments and hierarchies closer in order to work towards the development of a framework that can be used in the optimization of the product. In an MDO scenario, the disciplinary models should be able to exchange information seamlessly, and for that reason, there is an additional motivation for people to come together and interact much more often compared to the traditional PDP structure (Safavi et al, 2012;Safavi et al, 2015). This new state allows all departments and teams to see clearly the main design objectives, and as a direct consequence, it generates a state of increased awareness that is argued to reduce the costly and timeconsuming iterations within the groups (Simpson and Martins, 2011).…”

Section: Achieving Organizational Integrationmentioning

confidence: 99%

“…In Figure 18, block (A) presents the people that should be involved in the MDO process, and the proposed solution is a combination of three different layers of experts which is based on the work of both Safavi et al (2015) as well as Berends et al (2006). Compared to the existing studies where the focus is either on engineering or software responsibilities, this new approach enables the consideration of scientific knowledge from three different groups of people which are namely the conceptual engineers, the domain experts, and the software developers.…”

Section: Description Of the Blocksmentioning

confidence: 99%

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Optimization of Unmanned Aerial Vehicles: Expanding the Multidisciplinary Capabilities

Παπαγεωργίου¹

2018

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Over the last decade, Unmanned Aerial Vehicles (UAVs) have experienced an accelerated growth, and nowadays they are being deployed in a variety of missions that have traditionally been covered by manned aircraft. This unprecedented market expansion has created new and unforeseen challenges for the manufacturing industry which is now called to further reduce the idea-to-market times while simultaneously delivering designs of even higher performance. In this environment of uncertainty and risk, it is without a doubt crucial for the involved actors to find ways to secure their strategic advantage, and hence, implementing the latest design tools has become a critical consideration in every Product Development Process (PDP).To this end, a method that has been frequently applied in the PDP and has shown many successful results in the development of complex engineering products is Multidisciplinary Design Optimization (MDO). In general, MDO can bring additional knowledge regarding the best-suited designs much earlier in the process, and in this respect, it can lead to significant cost and time savings by reducing the total number of refinement iterations. Nevertheless, the organizational and cultural integration of MDO has been often overlooked, while at the same time, several technical aspects of the method for UAV design are still at an elementary level. On the whole, research on MDO is showing a slow progress, and to this date, there are many limitations in both the disciplinary models and the available analysis capabilities.In light of the above, this thesis focuses on the particulars of the MDO methodology, and more specifically, on how it can be best adapted and evolved in order to enhance the development process of UAVs. The primary objective is to study the current trends and gaps of the MDO practices in UAV applications, and subsequently to build upon that and explore how these can be included in a roadmap that will be able to serve a guide for newcomers in the field. Compared to other studies, the problem is herein approached from both a technical as well as organizational perspective, and thus, this research not only aims to propose techniques that can lead to better designs but also solutions that will be meaningful to the PDP. Having established the above foundation, this work shows that the traditional MDO frameworks for UAV design have been neglecting several important features, and it elaborates on how those novel elements can be modeled in order to enable a better integration of MDO into the organizational functions. Overall, this thesis presents quantitative and qualitative data which illustrate the effectiveness of the new framework enhancements in the development process of UAVs, and concludes with discussions on the possible improvement directions towards achieving more and better MDO capabilities. vi vii

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Section: Achieving Organizational Integrationmentioning

confidence: 99%

Section: Description Of the Blocksmentioning

confidence: 99%

Optimization of Unmanned Aerial Vehicles: Expanding the Multidisciplinary Capabilities

Παπαγεωργίου¹

2018

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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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“…Optimization algorithms are an indispensable part of a MDO framework because they automate the iterative optimization process and hence, they enable the system to search for an optimal solution inside the design space [40]. According to Tarkian [2], the algorithms that are used in numerical methods can be classified into two main groups which are characterized as gradient and non-gradient.…”

Section: Optimization Algorithmsmentioning

confidence: 99%

Development of a Multidisciplinary Design Optimization Framework Applied on UAV Design by Considering Models for Mission, Surveillance, and Stealth Performance

Παπαγεωργίου

Ölvander

Amadori

2017

18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

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Collaborative multidisciplinary design optimization: A framework applied on aircraft conceptual system design

Cited by 21 publications

References 38 publications

Optimization of Unmanned Aerial Vehicles: Expanding the Multidisciplinary Capabilities

Optimization of Unmanned Aerial Vehicles: Expanding the Multidisciplinary Capabilities

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Development of a Multidisciplinary Design Optimization Framework Applied on UAV Design by Considering Models for Mission, Surveillance, and Stealth Performance

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