Artificial Neural Network estimation of wheel rolling resistance in clay loam soil

Taghavifar, Hamid; Mardani, Aref; Karim-Maslak, Haleh; Kalbkhani, Hashem

doi:10.1016/j.asoc.2013.03.017

Cited by 37 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…conducted a series of experiments on a driven wheel in a soil bin (clay loam) setup. The experiments were aimed to study the motion resistance influenced by various operating parameters and CI methods (NN & FL) were also proposed to predict motion resistance [113][114][115].…”

Section: Tractionmentioning

confidence: 99%

Application of Computational Intelligence Methods in Agricultural Soil-Machine Interaction : A Review

Badgujar¹,

Figueroa²,

Das³

et al. 2022

Preprint

View full text Add to dashboard Cite

Soil working tools, implements, and machines are inevitable in mechanized agriculture. The soil-tool/machine interaction is a multivariate, dynamic, and intricate process. The accurate interpretation, description, and modeling of a soil-machine interaction is key to providing a solution to sustainable crop production by reducing energy input, excessive soil pulverization, and compaction. The traditional method provides insight into soil-machine interaction but often provides inadequate solutions and lacks broad applicability. Computational intelligence (CI) is a comprehensive class of approaches that rely on approximate information to solve complex problems. The CI method has been extensively studied and applied in soil tillage and traction domain in recent decades. The study critically reviews the CI techniques implemented in soil-machine interactions, especially in the context of tillage, traction, and compaction. The traditional methods and their limitation are discussed. The fundamental of CI methods and a detailed overview of the most popular methods are provided. The study reviews and summarizes the 50 selected articles on soil-machine interaction studies where CI methods were employed. It discusses the strength and limitations of employed CI methods. It also suggests the emergent CI methods and future applications are discussed. The outlined study would serve as a concise reference and a quick and systematic way to understand the applicable CI methods that allow crucial farm management decision-making.

show abstract

Section: Tractionmentioning

confidence: 99%

Application of Computational Intelligence Methods in Agricultural Soil-Machine Interaction : A Review

Badgujar¹,

Figueroa²,

Das³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The technical specifications of the soil bin facility are detailed by Taghavifar and Mardani [21]. A well-equipped single-wheel tester was utilized in soil bin to carry out the required experiments.…”

Section: Experimental Data Acquisitioningmentioning

confidence: 99%

Multi-criteria optimization model to investigate the energy waste of off-road vehicles utilizing soil bin facility

Taghavifar

Mardani

Karim-Maslak

2014

Energy

Self Cite

View full text Add to dashboard Cite

“…Although several researchers have carried out a considerable amount of the theoretical and experimental studies on the rolling resistance of the tire, [14][15][16][17][18][19] studies of the tire rolling resistance mainly focus on the following three major aspects: (1) the development of material formula, particularly the tread rubber material; (2) the establishment of theoretical model on the rolling resistance of the tire; and (3) finite element method (FEM) as the representative of the numerical analysis method has been widely used in the rolling resistance of the tire. The convenient and economic evaluation method of the tire rolling resistance has been rarely reported.…”

Section: Introductionmentioning

confidence: 99%

A novel evaluation on rolling resistance characteristics of truck tire through the simplified experimental modal analysis

Zhu

Yan

Zhuang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

A novel evaluation method for the rolling resistance characteristics of truck tire is proposed, in which a simplified modal experiment is suggested through a single-point vibration sampling from the tire surface with a polyvinylidene fluoride (PVDF) piezoelectric film. Three truck tires are utilized in the modal experiments, and the half-power bandwidth method is employed to identify the damping characteristics of the three tires. The damping characteristics of the tires are ranked by their values. These values are compared with their corresponding rolling resistance coefficients to manifest their correlative relationship. The experimental results, which are obtained from the modal experiment and the rolling resistance test, indicate that the modal parameters and the half-power bandwidth of the tire are exactly correlated to the rolling resistance coefficients. Furthermore, the damping ratios of the tires are correlated well with the rolling resistance coefficients among the tires. Overall, the proposed evaluation method could effectively evaluate the rolling resistance characteristics of the tire, which enable it to be a simple and economical alternative over the conventional tire rolling resistance experiments.

show abstract

Artificial Neural Network estimation of wheel rolling resistance in clay loam soil

Cited by 37 publications

References 13 publications

Application of Computational Intelligence Methods in Agricultural Soil-Machine Interaction : A Review

Application of Computational Intelligence Methods in Agricultural Soil-Machine Interaction : A Review

Multi-criteria optimization model to investigate the energy waste of off-road vehicles utilizing soil bin facility

A novel evaluation on rolling resistance characteristics of truck tire through the simplified experimental modal analysis

Contact Info

Product

Resources

About