DESIGN OPTIMIZATION OF THE PLOUGH WORKING SURFACE BY COMPUTERIZED MATHEMATICAL MODEL

Authors

  • Andrea Formato Department of Agricultural Science. University of Naples “Federico II”, Italy. Via Università 100. 80055. Portici (Napoli). Italy
  • Domenico Ianniello Department of Agricultural Science. University of Naples “Federico II”, Italy. Via Università 100. 80055. Portici (Napoli). Italy
  • Francesco Villecco Department of Industrial Engineering. University of Salerno. Italy, Via Giovanni Paolo II, 132 84084 Fisciano (SA) Italy
  • Tony Luigi Leopoldo Lenza Department of Industrial Engineering. University of Salerno. Italy, Via Giovanni Paolo II, 132 84084 Fisciano (SA) Italy
  • Domenico Guida Department of Industrial Engineering. University of Salerno. Italy, Via Giovanni Paolo II, 132 84084 Fisciano (SA) Italy

DOI:

https://doi.org/10.9755/ejfa.2015-10-918

Keywords:

plugh, design optimization, cae, mathematical modeling

Abstract

In this paper, a procedure for the optimization of the working surface of a plough for a soil type considered and to analyze the efficiency, is performed. It fits in the set of numerical – experimental techniques used for the improvement of the energy performance related to ploughing of agricultural soil. In the first part of this paper, it describes how to generate a family of working surfaces for assigned geometrical and process parameters; latter, by mean the use of a physical-mathematical model which describes the soil - plough interaction, it is examined the draught resistance changing in function of the geometric and process parameters for a soil considered, aimed to optimize the shape. A commercially available plough, subsequently, was examined and, applying such methods, its parametric representation and the optimized surface were obtained for the examined soil.

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Published

2017-12-18

How to Cite

Formato, A., D. Ianniello, F. Villecco, T. L. L. Lenza, and D. Guida. “DESIGN OPTIMIZATION OF THE PLOUGH WORKING SURFACE BY COMPUTERIZED MATHEMATICAL MODEL”. Emirates Journal of Food and Agriculture, vol. 29, no. 1, Dec. 2017, pp. 36-44, doi:10.9755/ejfa.2015-10-918.

Issue

Section

Regular Articles