An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines

Yao, Xifan; Zhou, Jifeng; Li, Yongxiang; Liu, Erhui

doi:10.1155/2016/4340916

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…This review showed that existing MDO architectures are not employed for electric motor design. In other engineering disciplines, different works that tackle the systematic derivation of MDO architectures which could be adapted for the framework exist, e.g., [113,123,126].…”

Section: Architecture Adaptationmentioning

confidence: 99%

Multidisciplinary Design Automation of Electric Motors—Systematic Literature Review and Methodological Framework

Umland,

Winkler,

Inkermann

2023

Energies

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Electric motor development is a challenging task, as higher efficiency requirements and various interdependencies between different engineering domains must be considered. Established design approaches often lack the ability to address these interdependencies because they focus on specific domains and properties. Automated, multidisciplinary design approaches hold untapped potential for optimizing motors in terms of diverse requirements and advancing the development of more efficient and reliable motors. This paper presents a systematic literature review of the current state of research in the multidisciplinary design automation of electric motors. The literature basis comprises 1005 publications that are identified by a systematic internet search. The review of the existing approaches is based on twelve criteria that characterize the design automation task in general, such as knowledge representation or reasoning methods used, as well as criteria specific to electric motor design, such as domains considered and their coupling. The analysis reveals what current approaches are lacking: Consequent analysis and integration of domains, applicability of suggested methods, incorporation of established multidisciplinary design optimization (MDO) architectures, alongside the consideration of passive components in the motor. Aside from the introduction of twelve criteria for systematic charaterization of multidisciplinary design automation of electric motors, this article expands the state of the art by proposing an initial framework to establish process chains tackling the identified gaps in the review.

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Section: Architecture Adaptationmentioning

confidence: 99%

Multidisciplinary Design Automation of Electric Motors—Systematic Literature Review and Methodological Framework

Umland,

Winkler,

Inkermann

2023

Energies

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“…A Boolean value, that is, "1" or "0," can represent whether one discipline depends on another [35,36]. The Boolean DSM could also be employed to model and solve Boolean Dynamical Systems [37,38].…”

Section: Discipline Dependence Representation Of Coupled Systemsmentioning

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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An Application-Specific Approach for Design Structure Matrix Optimization: Focusing on the Cross Application of Modularization and Sequencing Methods

Khanmirza

2023

IEEE Trans. Eng. Manage.

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An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines

Cited by 3 publications

References 16 publications

Multidisciplinary Design Automation of Electric Motors—Systematic Literature Review and Methodological Framework

Multidisciplinary Design Automation of Electric Motors—Systematic Literature Review and Methodological Framework

A Method for Multidisciplinary System Analysis Based on Minimal Feedback Variables

An Application-Specific Approach for Design Structure Matrix Optimization: Focusing on the Cross Application of Modularization and Sequencing Methods

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