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Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage

Author

Listed:
  • Mohammad Askari

    (Department of Biosystem Engineering, Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, Sari 56199-11367, Iran)

  • Yousef Abbaspour-Gilandeh

    (Department of Biosystem Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran)

  • Ebrahim Taghinezhad

    (Department of Agricultural Technology Engineering, Moghan College of Agricultural and Natural Resources, University of Mohaghegh Ardabili, Ardabil 56199-36514, Iran)

  • Ahmed Mohamed El Shal

    (Department of Agricultural Engineering, Zagazig University, Zagazig 44519, Egypt)

  • Rashad Hegazy

    (Agricultural Engineering Department, Faculty of Agriculture, Kafrelsheikh University, Kafrelsheikh 33516, Egypt)

  • Mahmoud Okasha

    (Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center (ARC), Giza 12611, Egypt)

Abstract

This study aimed to evaluate the ability of the response surface methodology (RSM) approach to predict the tractive performance of an agricultural tractor during semi-deep tillage operations. The studied parameters of tractor performance, including slippage (S), drawbar power (DP) and traction efficiency (TE), were affected by two different types of tillage tool (paraplow and subsoiler), three different levels of operating depth (30, 40 and 50 cm), and four different levels of forward speed (1.8, 2.3, 2.9 and 3.5 km h −1 ). Tractors drove a vertical load at two levels (225 kg and no weight) in four replications, forming a total of 192 datapoints. Field test results showed that all variables except vertical load, and different combinations of this and other variables, were effective for the S, DP and TE. Increments in speed and depth resulted in an increase and decrease in S and TE, respectively. Additionally, the RSM approach displayed changes in slippage, drawbar power and traction efficiency, resulting from alterations in tine type, depth, speed and vertical load at 3D views, with high accuracy due to the graph’s surfaces, with many small pixels. The RSM model predicted the slippage as 6.75%, drawbar power as 2.23 kW and traction efficiency as 82.91% at the optimal state for the paraplow tine, with an operating depth of 30 cm, forward speed of 2.07 km h −1 and a vertical load of 0.01 kg.

Suggested Citation

  • Mohammad Askari & Yousef Abbaspour-Gilandeh & Ebrahim Taghinezhad & Ahmed Mohamed El Shal & Rashad Hegazy & Mahmoud Okasha, 2021. "Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage," Agriculture, MDPI, vol. 11(11), pages 1-14, October.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:11:p:1043-:d:663425
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    References listed on IDEAS

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    1. Janulevičius, Algirdas & Damanauskas, Vidas, 2015. "How to select air pressures in the tires of MFWD (mechanical front-wheel drive) tractor to minimize fuel consumption for the case of reasonable wheel slip," Energy, Elsevier, vol. 90(P1), pages 691-700.
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