State-of-the-Art and Future Trends in Multidisciplinary Design Optimization

Weck, Olivier de; Agte, Jeremy S.; Sobieszczanski‐Sobieski, Jaroslaw; Arendsen, P.; Morris, A.J.; Spieck, Martin

doi:10.2514/6.2007-1905

Cited by 50 publications

(34 citation statements)

References 13 publications

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“…To become feasible, these concepts rely on a multidisciplinary design optimization (MDO) approach, of which the aeroelastic tailoring of advanced composite structures could be a key enabler [13,14]. However, the potential benefits of aeroelastic tailoring may currently be diminished due to the limited design space available with standard unidirectional (UD) laminates, which tend to be homogenized orthotropic 0°/±45°/90° ply laminates.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Tow-Steered Composite Wing Laminates for Aeroelastic Tailoring

et al. 2015

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Section: Introductionmentioning

confidence: 99%

Optimization of Tow-Steered Composite Wing Laminates for Aeroelastic Tailoring

et al. 2015

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“…Optimizing the sub-systems separately would most likely lead to sub-optimal or even unfeasible designs, and the main reason for this is that complex products have typically numerous synergies that need to be simultaneously taken into account (De Weck et al, 2007). Consequently, one possible solution is to move towards a more holistic representation of the system by including multiple disciplines (see Figure 7), and in this light, MDO is herein defined and used as a systematic approach to design space exploration that allows designers to map the interdisciplinary relations (Vandenbrande et al, 2006).…”

Section: Engineering Design Optimizationmentioning

confidence: 99%

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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“…These platforms could integrate discipline design tools, define coupled system models, and perform multidisciplinary system analysis and design optimization on engineering problems [20,21]. Commercial software tools, for example, ModelCenter [22], iSIGHT [23], and VisualDOC [24], are mainly focused on the integration of discipline tools and the capability of diverse design exploration methods [25,26]. Some simple MDO frameworks, for example, IDF [4] and CO [5], can be implemented directly based on optimizer-like components and wrapped analysis components within some commercial tools [23,27].…”

Section: Introductionmentioning

confidence: 99%

A Method for Multidisciplinary System Analysis Based on Minimal Feedback Variables

Yin

Wang

2017

Mathematical Problems in Engineering

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As modern engineering design usually involves dependence of one discipline on another, multidisciplinary system analysis (MDSA) plays an important role in the multidisciplinary simulation and design optimization on coupled systems. The paper proposes an MDSA method based on minimal feedback variables (MDSA MF) to enhance the solving efficiency. There are two phases in the method. In phase 1, design structural matrix (DSM) is introduced to represent a coupled system, and each off-diagonal element is denoted by a coupling variable set; then an optimal sequence model is built to obtain a reordered DSM with minimal number of feedback variables. In phase 2, the feedback in the reordered DSM is broken, so that the coupled system is transformed into one directed acyclic graph; then, regarding the inputs depending on the broken feedback as independent variables, a least-squares problem is constructed to minimize the residuals of these independents and corresponding outputs to zero, which means the multidisciplinary consistence is achieved. Besides, the MDSA MF method is implemented in a multidisciplinary platform called FlowComputer. Several examples of coupled systems are modeled and solved in the platform using several MDSA methods. The results demonstrate that the proposed method could enhance the solving efficiency of coupled systems.

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State-of-the-Art and Future Trends in Multidisciplinary Design Optimization

Cited by 50 publications

References 13 publications

Optimization of Tow-Steered Composite Wing Laminates for Aeroelastic Tailoring

Optimization of Tow-Steered Composite Wing Laminates for Aeroelastic Tailoring

Optimization of Unmanned Aerial Vehicles: Expanding the Multidisciplinary Capabilities

A Method for Multidisciplinary System Analysis Based on Minimal Feedback Variables

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