with the collaboration of Iranian Society of Mechanical Engineers (ISME)

Document Type : Research Article-en

Authors

1 Department of Biosystems Engineering, Shahid Chamran University of Ahvaz, Iran

2 Department of Biosystems Engineering, Lorestan University, Khorramabad, Iran

3 Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran

Abstract

Contamination due to hydraulic fluids exerts deleterious effects after a long time, however this factor is often ignored or its consecutive breakdowns and system failures are considered due to other factors. Therefore, in order to prevent the likelihood of occurring such problems, the following two strategies are presented: using oil change method to replace all of the hydraulic fluids from the discharge system with the new oil and using offline hydraulic oil filtration system for the removal of contaminated oil particles. In this regard, the present study aimed to investigate the economic status of cane sugar harvesting machines with an emphasis on hydraulic oil filtration process in seven units of sugarcane developmental company and affiliated industries in Khuzestan province, Iran. To perform this study, all statistics and data of the sugarcane and affiliated industries in seven companies during the crop year 2011-2016 were collected and classified. The results indicated that the application of the hydraulic filtration method led to the oil consumption saving (per liter) and in price (Iranian Rial) during the three crop-years of 2014-2016, as following: Imam Khomeini: 25500 L and 2882154363 Rials, Amir Kabir: 49000 L and 5847389466 Rials, Hakim Farabi: 82000 L and 9534396744 Rials, Dabal Khazaee: 73400 L and 6808230362 Rials, Dehkhoda: 31680 L and 3421979639 Rials, Salman Farsi: 73500 L and 7606675370 Rials and Mirza Koochak Khan: 75934 L and 8083068395 Rials.

Keywords

Open Access

©2020 The author(s). This article is licensed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source.

1. Ashtiani Iraqi, A. R., I. Ranjbar, and M. Torchy. 2005. Optimum mathematical model for predicting randm costs of operating tractors in Mazandaran Dasht-e-Naz Farm Company. Journal of Agricultural Science (15) 4: 95-109.
2. Almasi, M., Sh. Kiani, and N. Loveimi. 2008. The Fundamental Principles of Agriculture Mechanization. Jungle Publication. 293 pages.
3. Bartelmous, W., and R. Zimroz. 2009. A New Feature for Monitoring the Condition of Gearboxes in Monstaionary Operating Conditions. Mechanical Systems and Signal Processing 23: 1528-1534.
4. Bartholomew, R. B. 1981. Farm Machinery Costing Under Inflation. Transaction of ASAE, 24 (1): 98-101.
5. Dahunsi, O. A. 2008. Spectrometric Oil Analysis-An Untapped Resource for Condition Monitoring. Mechanical Engineering Department, Federal University of Technology Akuer, Undo State, Nigeria.
6. Haroni, S., M. J. Sheykhdavodi, and M. Kiani Deh Kiani. 2018. Application of Artificial Neural Networks for Predicting the Yield and GHG Emissions of Sugarcane Production. Journal of Agricultural Machinery 8: 389-401. (In Farsi).
7. Lazarus, W. 2002. Farm Machinery Economic Cost for 2002. University of Minnesota Extension Service.
8. Masoudi, A. R. 2011. Introduction to Oil Analysis (translation), Technical and Engineering Company of Alborz Tadbirkaran, Tehran.
9. Macinan, V., B. Tormos, A. Sala, and L. Ramirez. 2006. Fuzzy Logic- Based Expert System for Diesel Engine Oil Analysis Diagnosis. 462-470. The Britsh Institute of Non- Destructive Testing. Spencer, Northampton. NN1 5AA, England.
10. Mirmoazi, H. 2004. Opportunity cost of capital in Islamic economic framework. Islamic Economics Magazine. No. 16. Page 78.
11. Ranjbar, I., H. R. Ghasemzadeh, and Sh. Davoudi. 2003. Engine power and tractor (translation). Tabriz University Press. Pages: 401-412.
12. Scoma, A. K. 1990. Major reliability and lubricant consumption saving. Lubricant and Particle Analysis, pp: 1-6.
13. Saqafi, M. 2008. Tractors and its mechanism (translation).Center for Academic Publication, Ministry of Culture and Islamic Guidance. Tehran. Pages: 184-196.
14. Yeganeh Salehpoor, H. R. 2002. Determining the appropriate mathematical model for predicting maintenance costs of agricultural tractors used in Karun sugarcane cultivation and industry. Iranian Agricultural Science Institute 4: 707-716. 
CAPTCHA Image