Abstract
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.
Highlights
Electric machine design involves the coupled analysis of different applied physics domains that can be generalized as electromagnetic, vibro-acoustics, structural, insulation, and thermal, making it complex
This article aims to define a framework for implementing a knowledge-based engineering (KBE) system for the electric machine domain that can serve as a guideline for KBE system developers and electric machine designers
The previous sections provided the description and results of a KBE system to support the faster development of industrial electric motors ensuring all knowledge, information, and data is not lost through the whole development process
Summary
Electric machine design involves the coupled analysis of different applied physics domains that can be generalized as electromagnetic, vibro-acoustics, structural, insulation, and thermal, making it complex. The introduction of computeraided engineering (CAE) and computer-aided design (CAD) software brought significant advances to the field; the workload for performance computation of electric machines was reduced. It was visible in the literature with proposals of new design concepts and posterior research focus on multiphysics optimization of designs for given geometries and typically on two physics domains (e.g., electromagnetic-thermal). These proposed the feasibility of a single optimum design. Current demanding requirements in industrial applications have many variations, so the given single optimum may not satisfy the rest of the domains (e.g., noise and vibration levels, structural, etc.)
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