Artikel

Performance and exhaust emissions of a biodiesel engine

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In this study, the applicabilities of Artificial Neural Networks (ANNs) have been investigated for the performance and exhaust-emission values of a diesel engine fueled with biodiesels fromdifferent feedstocks and petroleumdiesel fuels. The engine performance and emissions characteristics of two different petroleum diesel-fuels (No. 1 and No. 2), biodiesels (from soybean oil and yellow grease), andtheir 20%blendswithNo. 2 diesel fuelwereusedas experimental results.The fuelswere tested at full load (100%) at 1400-rpm engine speed, where the engine torque was 257.6 Nm. To train the network, the averagemolecularweight, net heat of combustion, specific gravity, kinematic viscosity, C/Hratio and cetane number of each fuel are used as the input layer, outputs are the brake specific fuel-consumption, exhaust temperature, and exhaust emissions. The back-propagation learning algorithmwith three different variants, single layer, and logistic sigmoid transfer function were used in the network. By using weights in the network, formulations have been given for each output. The network has yielded R2 values of 0.99 and themean%errors are smaller than 4.2 for the training data, the R2 values are about 0.99 and themean%errors are smaller than 5.5 for the test data. The performance and exhaust emissions from a diesel engine, using biodiesel blends with No. 2 diesel fuel up to 20%, have been predicted using the ANN model.

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

Turkey : ., 2006

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

83

Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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