Abstract
As rail operators look for efficiency improvement, a new trend towards integration of detection technologies on revenue raising rolling stock has emerged, the objective being that a saving can be made by eliminating specialised rolling stock and reducing network scheduling. An area currently attracting research attention in the Australian heavy haul segment is the detection of rail foot flaws from moving vehicles through the use of Infrared Thermography. This paper presents a modelling and simulation methodology for full train simulation using a co-simulation approach for calculating heat transfer in the rail under a number of different vehicle system dynamics cases. The excitation source for the heat transfer focuses only on wheel/rail contact mechanics. The paper will explore the problem from a Modulated Thermography perspective that uses periodic heating and observation of the heating process for flaw detection.
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