A multi-physics design methodology applied to a high-force-density short-duty linear actuator

Simpson, Nick; Wróbel, Rafał; Mellor, Phil

doi:10.1109/ecce.2014.6954110

Cited by 7 publications

(7 citation statements)

References 32 publications

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“…The samples are also used for the measurement of the material equivalent specific heat capacitance using a calorimeter. The winding material sample testing is particularly useful in high fidelity thermal designanalysis, where the material thermal anisotropy and/or inhomogeneous power loss distribution is accounted for [7], [17]. These are particularly important in identification of the winding hot-spot.…”

Section: A Materials Thermal Datamentioning

confidence: 99%

Experiment informed methodology for thermal design of PM machines

Ayat

Wróbel

Goss

et al. 2016

2016 Eleventh International Conference on Ecological Vehicles and Renewable Energies (EVER)

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The common approach used in the thermal design of electrical machines is calibrating thermal models based on the designer's previous experience, or hardware tests on a prototype machine. This allows for various manufacture and assembly nuances to be accounted for in the design process, assuring accurate and computationally efficient predictions of the machine thermal behaviour. The post-manufacture calibration of thermal models from tests on a complete machine has limited use in development of machine topologies, where no previous experience or machine hardware exist. In this context, an experiment informed design technique that makes use of reduced order machine sub-assemblies presents an attractive alternative. In particular, the hardware manufacture cost and time is significantly reduced compared to the prototyping of the complete machine assembly. This allows for numerous hardware samples to be constructed and tested, to inform the machine design process. The use of the machine sub-assembly testing is focused, but not limited to identifying and quantifying various power loss and heat transfer phenomena. This paper reviews the applicability of the sub-assembly testing in a broader context of the machine design. The aim of the research focuses on formulating a basis for sub-assembly based, experiment informed methodology for the thermal design of electrical machines.

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Section: A Materials Thermal Datamentioning

confidence: 99%

Experiment informed methodology for thermal design of PM machines

Ayat

Wróbel

Goss

et al. 2016

2016 Eleventh International Conference on Ecological Vehicles and Renewable Energies (EVER)

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“…This analysis could then be used to perform parameter or sensitivity studies or be integrated into an optimisation routine to automatically guide the design parameters to meet a desired specification. However, the computational cost of highfidelity models and the iterative nature of coupled problems and optimisation often prohibit their use, [7]- [9].…”

Section: Introductionmentioning

confidence: 99%

Multi-physics design of high-energy-density wound components

Simpson

Wróbel

Mellor

2015

2015 IEEE Energy Conversion Congress and Exposition (ECCE)

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In this paper a computationally efficient high-fidelity multi-physics design tool applicable to E-core power inductors is developed. The tool is composed of 2-D electromagnetic and 3-D thermal finite analyses coupled to models for inductor core and winding loss. The models are fully parametrically defined and appear as a black-box problem which can be used to perform parameter studies or design optimisation. For example, the influence of strip or edge wound rectangular conductors on ac loss generation and thermal performance can be evaluated or inductor designs which satisfy a given specification can be identified. The tool is demonstrated by the design and experimental test of a high-energy-density filter inductor for an automotive application.

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“…This significantly increases computation time and tends to prohibit the use of such models, particularly for iterative design optimisation. The problem is often addressed by employing computationally efficient modelling methods, [4], or by compromising the detail and accuracy of the models, [2], [5]- [7], in favour of short solution times. Thereby, enabling a design optimisation to be performed using commonplace desktop computing hardware, [4], [7].…”

Section: Introductionmentioning

confidence: 99%

“…The problem is often addressed by employing computationally efficient modelling methods, [4], or by compromising the detail and accuracy of the models, [2], [5]- [7], in favour of short solution times. Thereby, enabling a design optimisation to be performed using commonplace desktop computing hardware, [4], [7]. An alternative is to adopt a distributed computing approach, [8], where high-fidelity models are evaluated using many networked computers in parallel to reduce solution times.…”

Section: Introductionmentioning

confidence: 99%

Exploiting cloud computing in the multi-physics design and optimisation of electromagnetic devices

Simpson

Mellor

2015

2015 IEEE 16th Workshop on Control and Modeling for Power Electronics (COMPEL)

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Abstract-Cloud computing is a type of distributed computing that enables public, on-demand network (internet) access to a large pool of shared computing resources, making it easier than ever to outsource computing tasks on a pay-as-you-go basis. In this paper, a cloud computing service is used to complement an existing high-fidelity multi-physics power inductor design workflow by enabling multiple instances of the design analysis to be executed in parallel on virtual computers in a cloud computing environment. This method accelerates the design development cycle and can allow a more thorough evaluation of the design space within a short time-frame, at a moderate cost and can potentially lead to improved designs. The modified workflow is demonstrated by the design optimisation of a high-energy-density filter inductor for an automotive application.

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A multi-physics design methodology applied to a high-force-density short-duty linear actuator

Cited by 7 publications

References 32 publications

Experiment informed methodology for thermal design of PM machines

Experiment informed methodology for thermal design of PM machines

Multi-physics design of high-energy-density wound components

Exploiting cloud computing in the multi-physics design and optimisation of electromagnetic devices

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