TL;DRAbstract
Two thermal resistance network models have been developed for the\nsteady state radial heat \now an experimental IPMSM. The models\nhave been based on published material, but also on some case studies\nwith the purpose of determining the best choice of methods for certain\nsituations. In one case study on hollow cylinders, it is concluded that\nit is favourable to place nodes with heat sources representing evenly\ndistributed losses in a point corresponding to the mean radius of the\nobject, rather than the resistive midpoint. Furthermore it is investigated\nwhether the accuracy of a thermal resistance network model can\nbe improved by increasing the resolution of the node configuration.\nThe result indicates that so is the case, although with some ambiguity.\nThe increased complexity of the high resolution network makes it more\nbulky however, which is a disadvantage compared to the low resolution\nnode configurations.\nThe two network models are used to analyse the IPMSM, and compare
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Two thermal resistance network models have been developed for the\nsteady state radial heat \now an experimental IPMSM. The models\nhave been based on published material, but also on some case studies\nwith the purpose of determining the best choice of methods for certain\nsituations. In one case study on hollow cylinders, it is concluded that\nit is favourable to place nodes with heat sources representing evenly\ndistributed losses in a point corresponding to the mean radius of the\nobject, rather than the resistive midpoint. Furthermore it is investigated\nwhether the accuracy of a thermal resistance network model can\nbe improved by increasing the resolution of the node configuration.\nThe result indicates that so is the case, although with some ambiguity.\nThe increased complexity of the high resolution network makes it more\nbulky however, which is a disadvantage compared to the low resolution\nnode configurations.\nThe two network models are used to analyse the IPMSM, and compare
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