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    Poultry fat biodiesel as a fuel substitute in diesel-ethanol blends for DI-CI engine: Experimental, modeling and optimization
    (Elsevier Ltd, 2023) N., Santhosh; Afzal, Asif; V., Srikanth H.; Ağbulut, Ümit; Alahmadi, Ahmad Aziz; Gowda, Ashwin C.; Alwetaishi, Mamdooh
    The purpose of the present study is to evolve an alternate non-edible source for the synthesis of biodiesel and use it as a fuel substitute in diesel-ethanol blends for DI-CI engines. The use of discarded poultry fat feedstocks for the sustainable production of biofuels in the current day scenario is a novel approach that is still in its embryonic stage. For the effective utilization of these processed biofuels, it is very much required to ascertain the characteristics and their performance attributes for different blends. In this regard, a set of experiments are planned to study the emission and performance attributes of a direct injection (DI) diesel engine operating on poultry fat biodiesel, and the three proportions of diesel-biodiesel-ethanol blends with varying vol. % over the wide load range on a diesel engine. The ethanol percentage in the blend is varied from 5 vol % to 15 vol % in increments of 5 vol % with the amount of poultry fat-based biodiesel kept constant at 10 vol %. The performance and emission characteristics, particularly, the CO, CO2, NOx, unused Oxygen, and hydrocarbon emissions are experimentally determined for different fuel blends. From the results, it is evident that the performance characteristics of the fuel blends improve with the addition of ethanol in the diesel-biodiesel blend. Further, regression modeling of the performance characteristics is carried out to optimize the blend and operating load conditions, and the regression model is evolved for developing a mathematical relation for predictions of the results for different operating conditions. Also, Artificial Neural Network (ANN) modeling of the performance characteristics is carried out at each stage to predict the outcomes for different blends and load conditions and provide a set of empirical relations for analyzing the performance characteristics of the engines operating on poultry fat-based biodiesel-diesel-ethanol blends. Excellent predictions are obtained using regression modeling and ANN with R-squared values above 0.9. Thus, the present work provides a newer model of effectively using the ANN for the systematic study of the performance characteristics of the biodiesel blends obtained from a set of experiments through various optimization methods for better performance and a significant reduction in emissions. © 2023 Elsevier Ltd
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    A study on a milk chiller latent storage system with phase change material encapsulated spherical balls
    (Elsevier Ltd, 2023) Jilte, Ravindra; Afzal, Asif; Ağbulut, Ümit; Alahmadi, Ahmad Aziz; Alwetaishi, Mamdooh; Alzaed, Ali Nasser
    For dispersed or remotely located families, the collection of raw milk takes place less frequently or transportation to the nearest center is not feasible. It requires chilling of collected milk from udder temperature (?35 °C) to storage temperature (?4 °C) and maintaining it throughout thus it demands running chilling at the discrete locations. In this study, a novel design of a milk chiller for coolness storage of 12/24 h based on phase change material is presented. System performance has been demonstrated following the prevailing practice of milk collection and loading/unloading of milk. By switching off the refrigeration after a certain interval, the coolness storage was demonstrated to meet the chilling conditions even during the non-availability of power. The study proposes an integrated portable mobile milk chilling system that can move between solar PV plants and the nearest electric grid during non-sunny days. The proposed milk chiller latent storage system (MC-LSS) contains three major components: a helical coil for refrigerant circulation during charging of the system, spherical capsules for encapsulating phase change materials and interspaced occupied brine solution for storing coolness and circulating throughout PCM-filled capsules. MC-LSS is tested under two cases: FLS-12(first loading of milk chiller and storage for 12 h) and SLS-12 (second loading of milk and storage for 12 h). The temperature history of the Milk chiller latent storage system for the FLS-12 h case is qualitatively analyzed which shows an appreciable reduction in milk temperature around 10–15 °C within the first 20 min and in another ?40 min of further cooling, milk temperature attains the desired storage temperature (4–5 °C). © 2023 Elsevier Ltd