Artikel Jurnal :: Kembali

Artikel Jurnal :: Kembali

Taguchi- grey relation based multi-response optimization of diesel engine operating parameters with water-in-diesel emulsion fuel

K.S. Amirthagadeswaran, Dinesh Babu Sivasamy (Faculty of Engineering, Universitas Indonesia, 2018)

 Abstrak

The use of water-in-diesel (W/D) emulsion fuel has the potential to promote better performance with lower emissions in existing diesel engines. The present study aims to analyzes the influence of operating parameters on the overall engine performance and emission characteristics using W/D emulsion fuel and to obtain the optimum level for favorable performance and emission levels. The engine operating parameters were optimized using a Taguchi–grey relation based multi-response optimization tool. Two controlling parameters, namely compression ratio (CR) and percentage of W/D, were considered as input process parameters. An L16 orthogonal array was used to collect the output responses (performance and emissions) under varying engine load conditions. The signal-to-noise (S/N) ratio and grey relational analysis were used to analyze the performance and emission parameters. From the results obtained, it is noted that both controlling parameters have a significant effect on the performance and emission levels. The optimum level of performance and emission levels are obtained at a CR of 18 and water concentration of 10%. Moreover, under these optimum conditions, i.e. at 10% of water concentration, the fuel properties are at par with the standard diesel fuel properties requirement.

 Metadata

Jenis Koleksi : Artikel Jurnal
No. Panggil : UI-IJTECH 9:1 (2018)
Entri utama-Nama orang :
Subjek :
Penerbitan : Depok: Faculty of Engineering, Universitas Indonesia, 2018
Sumber Pengatalogan : LibUI eng rda
ISSN : 20869614
Majalah/Jurnal : International Journal of Technology
Volume : Vol. 9, No. 1, January 2018: Hal. 68-77
Tipe Konten : text
Tipe Media : unmediated
Tipe Carrier : volume
Akses Elektronik : https://doi.org/10.14716/ijtech.v9i1.1374
Institusi Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4 R. Koleksi Jurnal
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
UI-IJTECH 9:1 (2018) 08-23-13189578 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 9999920522070
Cover