Development of a fuel consumption equation: Test case for a tractor chisel-ploughing in a clay loam soil. (February 2015)
- Record Type:
- Journal Article
- Title:
- Development of a fuel consumption equation: Test case for a tractor chisel-ploughing in a clay loam soil. (February 2015)
- Main Title:
- Development of a fuel consumption equation: Test case for a tractor chisel-ploughing in a clay loam soil
- Authors:
- Karparvarfard, S.H.
Rahmanian-Koushkaki, H. - Abstract:
- Abstract : Fuel consumption and tillage draught were measured when chiselling in a clay loam soil in Badjgah Research Station, Shiraz University, Shiraz, Iran. An 81 kW tractor (MF-399) instrumented with a data acquisition system was used to measure fuel consumption, actual forward speed, theoretical forward speed, slip and implement draught. The effects of blade width (5 and 10 cm), tillage depth (10, 15 and 20 cm) and actual forward speed (3, 4 and 5 km h −1 ) upon fuel consumption were investigated. Fuel consumption was assumed to be a function of wheel numeric, slip, net traction ratio, rolling resistance ratio, chisel-tool aspect ratio and actual forward speed. Collected data were used to model the tractor fuel consumption using dimensional analysis approach. Results were compared to fuel consumption rates as predicted by ASAE Standards (D497.4). The comparisons showed that the standard overestimates fuel consumption by 26–53%. Results from regression (F-test) between predicted and measured fuel consumption data showed that the slopes for fuel consumption with the 5 and 10 cm blade widths were not significantly different from 1:1 line ( P ≤ 0.05). Consequently, the fuel consumption rate can be successfully predicted by the model with good accuracy. Highlights: The general equation of fuel consumption for an MF-399 tractor has been developed. Results were compared to fuel consumption rates predicted by ASAE Standards D497.4. The validation process proved that the fuelAbstract : Fuel consumption and tillage draught were measured when chiselling in a clay loam soil in Badjgah Research Station, Shiraz University, Shiraz, Iran. An 81 kW tractor (MF-399) instrumented with a data acquisition system was used to measure fuel consumption, actual forward speed, theoretical forward speed, slip and implement draught. The effects of blade width (5 and 10 cm), tillage depth (10, 15 and 20 cm) and actual forward speed (3, 4 and 5 km h −1 ) upon fuel consumption were investigated. Fuel consumption was assumed to be a function of wheel numeric, slip, net traction ratio, rolling resistance ratio, chisel-tool aspect ratio and actual forward speed. Collected data were used to model the tractor fuel consumption using dimensional analysis approach. Results were compared to fuel consumption rates as predicted by ASAE Standards (D497.4). The comparisons showed that the standard overestimates fuel consumption by 26–53%. Results from regression (F-test) between predicted and measured fuel consumption data showed that the slopes for fuel consumption with the 5 and 10 cm blade widths were not significantly different from 1:1 line ( P ≤ 0.05). Consequently, the fuel consumption rate can be successfully predicted by the model with good accuracy. Highlights: The general equation of fuel consumption for an MF-399 tractor has been developed. Results were compared to fuel consumption rates predicted by ASAE Standards D497.4. The validation process proved that the fuel consumption models were acceptable. … (more)
- Is Part Of:
- Biosystems engineering. Volume 130(2015:Feb.)
- Journal:
- Biosystems engineering
- Issue:
- Volume 130(2015:Feb.)
- Issue Display:
- Volume 130 (2015)
- Year:
- 2015
- Volume:
- 130
- Issue Sort Value:
- 2015-0130-0000-0000
- Page Start:
- 23
- Page End:
- 33
- Publication Date:
- 2015-02
- Subjects:
- Data acquisition -- Dimensional analysis -- Modelling -- Massey Ferguson MF-399
MF Massey Ferguson -- ASAE American Society of Agricultural Engineers -- ASABE American Society of Agricultural and Biological Engineers -- PTO Power Take-off -- NRMSE Normalised Root Mean Square Error -- MBE Mean Bias Error -- RNAM Regional Network for Agricultural Machinery
Bioengineering -- Periodicals
Agricultural engineering -- Periodicals
Biological systems -- Periodicals
Génie rural -- Périodiques
Systèmes biologiques -- Périodiques
631 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15375110 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.biosystemseng.2014.11.015 ↗
- Languages:
- English
- ISSNs:
- 1537-5110
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2089.670500
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