An Artificial Neural Network Model for a Diesel Engine Fuelled with Mahua Biodiesel
In this paper, an Artificial Neural Network (ANN) model is used to predict the different parameters of a diesel engine fuelled with the mixture of diesel and mahua biodiesel in different proportion. The data has been obtained from an experiment carried ou
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Abstract In this paper, an Artificial Neural Network (ANN) model is used to predict the different parameters of a diesel engine fuelled with the mixture of diesel and mahua biodiesel in different proportion. The data has been obtained from an experiment carried out in a twin cylinder diesel engine in different loading condition and different blending ratios of diesel and biodiesel. Two input data, i.e., engine load and blending ratio and five output data, i.e., Brake Thermal Efficiency (BTE), Brake Specific Fuel Consumption (BSFC), Smoke level, Carbon monoxide (CO), and Nitrogen Oxides (NOx) emissions have been considered for ANN modeling. The network used is back propagation, feed forward with multilayer perceptron having ten numbers of neurons in hidden layer with trainlm training algorithm being proposed. It has been observed that the prediction ability of the model is high as there is minimum difference between the predicted and the experimentally measured values. Keywords Vegetable oil
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Transesterification
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Biodiesel
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Viscosity
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ANN
N. Acharya (✉) Excavation Department, M.C.L, Burla, India e-mail: [email protected] S. Acharya Department of Computer Application, VSSUT, Burla, India e-mail: [email protected] S. Panda ⋅ P. Nanda Department of Mechanical Engineering, VSSUT, Burla, India e-mail: [email protected] P. Nanda e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 H.S. Behera and D.P. Mohapatra (eds.), Computational Intelligence in Data Mining, Advances in Intelligent Systems and Computing 556, DOI 10.1007/978-981-10-3874-7_19
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1 Introduction The depletion of liquid fossil fuels and air pollution due to its use has compelled to use vegetable oil in the form of biodiesel. The vegetable oils contain around 90– 98% of triglyceride and significant amount of oxygen [1]. At present, some countries producing biodiesel from edible vegetable oil like sunflower, soybean, palm, and coconut which may create crisis of food in future if it will be used for mass production of biodiesel [2]. So, non-edible vegetable oil is another option for feedstock of biodiesel. In India, approximately 23% of the total land is covered under forest. There are more than 350 numbers of nonedible vegetable oil trees available in nature [3]. The major potential non-edible feed stocks are jatropha, karanja, mahua, neem, polanga, soapnut, and castor with substantial yielding capacity. Among these, mahua is one of the potential non-edible oil feedstock which can be used for production of biodiesel. Mahua (Madhuca indica) is a medium-sized tree of Indian origin with a wide round canopy found mostly in the central India. It belongs to family Sapotaceae and can attain up to 20 meter in height. It can grow in arid environment and different soil conditions. Depending upon the maturity of tree, the yield ranges from 20 to 200 kg per annum. The kernel of mahua fruit contains around 35–40% of oil [4]. The use of raw mahua oil is restricted due to its unfavorable properties like high
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