Predicting Whole-body Vibration-based on Linear Regression Models and Determining Permissible Exposure Time of Tractor Operator
Journal Title: Journal of Agricultural Machinery - Year 2023, Vol 13, Issue 2
Abstract
IntroductionThe permissible exposure time to vibration for the operator is one of the key factors in maintaining the operator's health while optimizing machinery and equipment. The tractor studied was the ITM475, manufactured in Iran. The purpose of this study was to calculate the operator's permissible vibration exposure time while using the tractor to ensure the driver can maintain good bodily health.Materials and MethodsIn this study, experiments were conducted using a 3-axis vibration meter based on the ISO 2631 standard. The obtained data were analyzed through a factorial experiment using 18 treatments and 3 replications. The factors studied were engine rotation speed (at three levels of 1000, 1500, and 2000 rpm), road type (dirt and asphalt), and gear position (at three levels of 1, 2, and 3).Results and DiscussionVarious total vibration models were obtained for the tractor, and their determination coefficient varied from 90.11% for gear No. 3 on an asphalt road to 100% for gear No. 1 on an asphalt road and gear No. 2 on a dirt road. The maximum whole-body vibration, and consequently the minimum permissible exposure time, was observed for gear No. 3 at an engine rotation speed of 2000 rpm on a dirt road, which was 1.49 and 1.16 hours, respectively.ConclusionThe maximum whole-body vibration experienced during an 8-hour tractor-driving session was measured at 0.85 m s-2. It is important to note that the permissible exposure time decreases as vibration levels increase, and it reaches a limit of 1.16 hours. To ensure drivers adhere to these permissible exposure times across various driving conditions, measures must be implemented to reduce tractor vibration and minimize its transmission to the driver. By reducing overall tractor vibration and minimizing its impact on the driver, it becomes possible to increase the permissible exposure time for drivers.
Authors and Affiliations
A. Mohammadi,K. Kheiralipour,B. Ghamari,A. Jahanbakhshi,R. Shahidi,
Keywords
Related Articles
- EP ID EP718070
- DOI https://doi.org/10.22067/jam.2021.73589.1071
- Views 68
- Downloads 0
Detection of Cucumber Fruit on Plant Image Using Artificial Neural Network
The main purpose of this study was to provide a method for accurately identifying the position of cucumber fruit in digital images of the greenhouse cucumber plant. After balancing the brightness histogram of the desired...
Qualitative and quantitative analysis of biogas generated from co-digestion of cow dung, municipal sewage and kitchen waste
Introduction As reported by Sabetghadam (2005), 53.4, 36.3, 1.1, 8.9, and 0.2% of total energy consumption in Iran consisted of oil products, natural gas, coal, electricity energy, and modern energy sources, respectively...
Detection of Pistachio Aflatoxin Using Raman Spectroscopy and Artificial Neural Networks
Pistachio contamination to aflatoxin has been known as a serious problem for pistachio exportation. With regards to the increasing demand for Raman spectroscopy to detect and classify different materials and also the cur...
Evaluation of an Experimental Model for Flat-Fan Nozzles Drift in Wind Tunnel by Image Processing
Each year, millions of liters of toxic liquid, are used to combat with pests and plant diseases in farms. The wide spread use of chemical pesticides causes great environmental hazards. Particles drift is one of the main...
Numerical Solution of Mass Transfer Process during Drying of Apple Slices Using Pseudospectral Method
Introduction Convective air drying is one of the oldest and most popular drying methods. Designing and controlling the convective air drying needs the mathematical description of the moisture transfer during the drying p...