Agricultural tractor traction efficiency by changing the mass distribution between axles and speed

Author:

Strapasson Neto Lauro1ORCID,Laskoski Maíra1ORCID,Jasper Samir P.1ORCID,Campos Gabriéle S. de1ORCID,Kmiecik Leonardo L.1ORCID,Parize Guilherme L.1ORCID

Affiliation:

1. Universidade Federal do Paraná, Brazil

Abstract

ABSTRACT The traction efficiency of the agricultural tractor can be maximized by adjusting the total mass and its distribution between the axles. The experiment’s objective was to determine the configuration of mass distribution between axles and the displacement speed that provides greater traction efficiency in the harrowing operation. A randomized block design in a 2 × 3 factorial scheme with five replications was used. The first factor was two mass distributions between axles, and the second factor was three gears. The collected data were submitted to analysis of variance and the Tukey test. The condition that maximizes the tractor’s performance corresponds to 39% of the total mass on the front axle and 61% on the rear axle, with a gear that provides speed close to 10 km h-1.

Publisher

FapUNIFESP (SciELO)

Subject

Agronomy and Crop Science,Environmental Engineering

Reference23 articles.

1. (ASABE 496.3), Agricultural machinery management data,2011

2. (ASABE D497.7.). Agricultural machinery management data,2011

3. Tractor traction performance simulation on differently textured soils and validation: A basic study to make traction and energy requirements accessible to the practice;Battiato A.;Soil & Tillage Research,2017

4. Air and fuel supercharge in the performance of a diesel cycle engine;Boyer C. N.;Ciência Rural,2017

5. Traction prediction equations for bias ply tires;Brixius W. W.;ASAE Paper,1987

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