An application of multidisciplinary design optimization to the hydrodynamic performances of underwater robots

Luo, Weilin; Lyu, Wenjing

doi:10.1016/j.oceaneng.2015.06.011

Cited by 43 publications

(8 citation statements)

References 27 publications

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“…In [1]- [3] and [6], an automatic design method using past design data and parametric models is presented. In [1], the authors designed the outline of an aircraft parametrically based on hydrodynamics using computer aided design (CAD) and optimized its design parameters via the Gaussian regression model using the data of the previous design.…”

Section: Related Workmentioning

confidence: 99%

“…The cooling performance and product quality were considered, and a parametric CAD model was employed. Reference [3] reported an automatic design method for fabricating aquatic robots based on multidomain optimization accounting for resistance and maneuverability. In [6], the authors developed a platform setting the parametric relationships for dimensions and features among multiple parts comprising an assembly, replacing the parts in a library and changing shapes on demand.…”

Section: Related Workmentioning

confidence: 99%

“…Previous research on automated design comprised studies on optimizing the design parameters of parametric models using numerical simulations such as structural analysis and computational fluid dynamics (CFD). For example, in [1]- [3], a parametric model is used as a model of numerical simulation. Design parameters are determined via optimization calculation and then substituted into the parametric model for an automatic design.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Parametric Modeling Technique for Structural Design Standardization

2022

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The challenge in designing new three-dimensional (3D) shapes is that considerable manual effort is required for repeated designing and verification to satisfy the required specifications. Extracting and standardizing parametric design rules from a designed 3D shape dataset will be useful for drastically reducing the design time. This paper describes a framework of automatically generating parametric models, design rules, in order to standardize designs for structural systems. In this framework, a design dataset whose dimensions and shapes have parametric relationships with a target shape is extracted using a new retrieval method. This method is an improvement of a conventional similar shape retrieval method. After the extraction of the design dataset, the corresponding parts between the collected shapes are automatically identified and parametric models are automatically generated. This new similar shape retrieval method has two improvements over the conventional method that uses images of 3D shapes captured from multiple directions. First, 3D shapes are converted to unit shapes by stretching or shrinking along each axis. Second, similar shapes are extracted using a special artificial intelligence (AI) model that learns parametric relationships. The effectiveness of the proposed framework is evaluated using the 3D shape data of various structural shapes. Although the accuracy rate of similar-shape retrieval based on parametric relationships was 62% in the conventional method, by using unit shapes and special AIs, it was improved to 99% in the new method. Moreover, the corresponding parts between similar shapes were automatically identified, and parametric models were automatically generated. The effectiveness of this framework has been demonstrated.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Automatic Parametric Modeling Technique for Structural Design Standardization

2022

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“…The ISIGHT platform can realize automatic data conversion and control the execution of these software packages, thereby realizing the optimization of the idling performance index of the MCP. 15,16 The research process of this study is divided into three modules. The first module, the ISIGHT software optimization platform of the MCP is built, the software of CFturbo, TurboGrid and CFX are systematically integrated, and the hydraulic performance of a large number of model samples are calculated.…”

Section: Introductionmentioning

confidence: 99%

Shutdown idling performance of the nuclear main coolant pump under station blackout accident: An optimization study

Zhao

Batlló

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part A:

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Lead-cooled fast reactor (LFR) is an important reactor type of the Generation IV nuclear energy, and the main coolant pump (MCP) is the only and most critical power equipment in primary circuit of LFR. The shutdown idling performance of the MCP, is one of the most important safety indicators in the event of a station blackout accident. When the motor loses its power supply, the MCP needs to run under the inertia of the flywheel to ensure the coolant flow for a short time. This study mainly focuses on the idling mathematical model of the MCP under power failure accidents. In this study, taking the shutdown idling performance of the MCP as the optimization goal, the parametric optimization analysis of the impeller and diffuser structure of the MCP was carried out. Specifically, based on the platform ISIGHT, the software of CFturbo, TurboGrid, CFX, Matlab and FLOWMASTER are systematically integrated, the automated 3D modeling, automatic meshing and automatic CFD calculation of different hydraulic model of the MCP are realized. And the neural network mathematical model between the geometric parameters of MCP and the idling performance indicators is established. The study shows that there is a strong linear relationship between the idling performance of the MCP and its head and shaft power, and meridian parameters of Δβ 2, Z 1, Φ 1h and the radial surface parameters of Δβ 1 and Δβ 2, Z 1 and Φ 1h have the greatest impact on the idling performance of MCP.

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“…MDO has been used for designing guidance system of an AUV based on IDF architecture by Zhang et al 6 Luo and Lyu 7 incorporated the CO as MDO framework and particle swarm optimization (PSO) as optimizer to optimize hydrodynamic performances of underwater robots.…”

Section: Introductionmentioning

confidence: 99%

A new multidisciplinary robust design optimization framework for an autonomous underwater vehicle in system and tactic design

Bidoki

Mortazavi

Sabzehparvar

2018

Proceedings of the IMechE

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The design process of an autonomous underwater vehicle requires mathematical model of subsystems or disciplines such as guidance and control, payload, hydrodynamic, propulsion, structure, trajectory and performance and their interactions. In early phases of design, an autonomous underwater vehicle is often encountered with a high degree of uncertainty in the design variables and parameters of system. These uncertainties present challenges to the design process and have a direct effect on the autonomous underwater vehicle performance. Multidisciplinary design optimization is an approach to find both optimum and feasible design, and robust design is an approach to make the system performance insensitive to variations of design variables and parameters. It is significant to integrate the robust design and the multidisciplinary design optimization for designing complex engineering systems in optimal, feasible and robust senses. In this article, we present an improved multidisciplinary design optimization methodology for conceptual design of an autonomous underwater vehicle in both engineering and tactic aspects under uncertainty. In this methodology, uncertain multidisciplinary feasible is introduced as uncertain multidisciplinary design optimization framework. The results of this research illustrate that the new proposed robust multidisciplinary design optimization framework can carefully set a robust design for an autonomous underwater vehicle with coupled uncertain disciplines.

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An application of multidisciplinary design optimization to the hydrodynamic performances of underwater robots

Cited by 43 publications

References 27 publications

Automatic Parametric Modeling Technique for Structural Design Standardization

Automatic Parametric Modeling Technique for Structural Design Standardization

Shutdown idling performance of the nuclear main coolant pump under station blackout accident: An optimization study

A new multidisciplinary robust design optimization framework for an autonomous underwater vehicle in system and tactic design

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