Abstract:In this paper, we presented a railway track crack detection patrolling vehicle. Indian railway has one of the world's largest railway networks comprising 92,081 km (57,216 mi) of track over a route of 66,687 km (41,437 mi) and 7,216 stations.So,manualinspectionand detecting a crack on these railways tracks is very tedious process and consumes lot of time and human resource. This paper proposes a cost effective solution to the problem of railway track crack detection utilizing IR sensor array assembly which tracks the exact location of faulty track, then inform to nearby railway station through short messaging application, so that many lives will be saved. There are many advantages with this system when compared with the traditional detection techniques. It includes less cost, low power consumption and less analysis time.
<div class="section abstract"><div class="htmlview paragraph">Selective Catalytic Reduction is a key technology, used for NOx abatement. There are several models available for SCR system performance out of which most are experimentally verified only in flow reactors with simulated gaseous concentration and standard test conditions. But in the vehicle as well as in the engine test bench the conditions are very much dynamic compared to the simulated conditions of the lab. This transient behaviour emphasizes the need for a best fit model which accommodates the real-world dynamic conditions, thus reducing the overall effort in SCR catalyst selection for any given engine or vehicle application. The primary objective of this paper is to derive an empirical and mathematical efficiency model for SCR catalyst performance through a model-based design approach. The output from the model is compared with the experimental results from the vehicle and engine test bench, to validate the model accuracy. The model is a function of system specific parameters like space velocity, NO2 ratio, system efficiency, catalyst loading and ageing factors, temperature mapping, for various engine operating zones that are benchmarked from existing experimental results and chemical kinetics that are already incorporated in existing models. This model is fine-tuned by incorporating experimental data and simulated with different control strategies to further refine and optimize the catalyst performance and reduce DEF consumption and ammonia slip formation. The model output from numerical simulations and experimental results are used to derive the control strategy for the best overall efficiency model.</div></div>
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