A Requirement Engineering Framework for Electric Motors Development

Rivera, Christian; Poza, Javier; Ugalde, Gaizka; Almandoz, Gaizka

doi:10.3390/app8122391

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…This includes: system-level requirements based on the application at hand, information regarding the process stage and the considered motor type. The support for this task can be synthesized from a variety of existing methods, e.g., generic requirements engineering methods [120] or electric-motor-specific requirements engineering methods [121]. Furthermore, the SDM preparation addresses the formalization not directly related to the geometry by using, e.g., ontologies.…”

Section: Sdm Preperation and Setupmentioning

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: Sdm Preperation and Setupmentioning

confidence: 99%

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

Umland,

Winkler,

Inkermann

2023

Energies

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“…The initial set of functions to be processed can be extracted by means of existing checklists. Indeed, the tool can implement any checklists among those available in engineering design literature and/or specifically proposed by engineering designers, e.g., for peculiar application fields [38]. However, as mentioned, the tool is thought of as particular support when integrated into systematic procedures for the design of physical products.…”

Section: The Proposed Tool: a Structured Matrix For Requirements' For...mentioning

confidence: 99%

Testing a New Structured Tool for Supporting Requirements’ Formulation and Decomposition

et al. 2020

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The definition of a comprehensive initial set of engineering requirements is crucial to an effective and successful design process. To support engineering designers in this non-trivial task, well-acknowledged requirement checklists are available in literature, but their actual support is arguable. Indeed, engineering design tasks involve multifunctional systems, characterized by a complex map of requirements affecting different functions. Aiming at improving the support provided by common checklists, this paper proposes a structured tool capable of allocating different requirements to specific functions, and to discern between design wishes and demands. A first experiment of the tool enabled the extraction of useful information for future developments targeting the enhancement of the tool’s efficacy. Indeed, although some advantages have been observed in terms of the number of proposed requirements, the presence of multiple functions led users (engineering students in this work) to useless repetitions of the same requirement. In addition, the use of the proposed tool resulted in increased perceived effort, which has been measured through the NASA Task Load Index method. These limitations constitute the starting point for planning future research and the mentioned enhancements, beyond representing a warning for scholars involved in systematizing the extraction and management of design requirements. Moreover, thanks to the robustness of the scientific approach used in this work, similar experiments can be repeated to obtain data with a more general validity, especially from industry.

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“…Therefore, an in-depth study and assessment of the application are required to derive the correct design requirements of the machine. For this reason, a requirement engineering framework is proposed in [13], describing the actors, processes, qualifications, and tools to complete this phase successfully. This V-model attempts to embrace the development process providing a holistic view of the entire process and flexibility for industry adaptation.…”

Section: The Industrial V-model For the Development Of Electric Machinesmentioning

confidence: 99%

“…(1) a knowledge base generation process based on MOKA methodology (MOKA stands for Methodology and software tools Oriented to Knowledge based engineering Applications); this methodology implementation is new regarding the electric machine domain. Furthermore, it provides a specific knowledge base structure and management implementation in a SysML tool; (2) the systematic implementation of macro-processes by the adaptation of VDI-2221/2206 standards to the electric machine design development process [12]; (3) the use of a set of micro-processes known by electric machine designers and some new ones recently published by the research team [13,14]; and (4) finally, a real KBE system implementation example for the elevator industry that shows the novelty of an architecture that allows less software development effort for the creation of a complete KBE system solution by integrating commercial SW tools.…”

Section: Introductionmentioning

confidence: 99%

Industrial Design of Electric Machines Supported with Knowledge-Based Engineering Systems

Rivera¹,

Poza²,

Ugalde³

et al. 2020

Applied Sciences

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The demand for electric machines has increased in the last decade, mainly due to applications that try to make a full transition from fuel to electricity. These applications encounter the need for tailor-made electric machines that must meet demanding requirements. Therefore, it is necessary for small-medium companies to adopt new technologies offering customized products fulfilling the customers’ requirements according to their investment capacity, simplify their development process, and reduce computational time to achieve a feasible design in shorter periods. Furthermore, they must find ways to retain know-how that is typically kept within each designer to retrieve it or transfer it to new designers. This paper presents a framework with an implementation example of a knowledge-based engineering (KBE) system to design industrial electric machines to support this issue. The devised KBE system groups the main functionalities that provide the best outcome for an electric machine designer as development-process traceability, knowledge accessibility, automation of tasks, and intelligent support. The results show that if the company effectively applies these functionalities, they can leverage the attributes of KBE systems to shorten time-to-market. They can also ensure not losing all knowledge, information, and data through the whole development process.

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A Requirement Engineering Framework for Electric Motors Development

Cited by 6 publications

References 10 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

Testing a New Structured Tool for Supporting Requirements’ Formulation and Decomposition

Industrial Design of Electric Machines Supported with Knowledge-Based Engineering Systems

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