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

Document Type : Research Article

Authors

1 Department of Biosystems Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

2 Department of Communications Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, Iran

Abstract

Introduction
Transportation of fresh fruit and vegetables is complicated because it can be affected by various factors. Truck vibration is one of the most prevalent causes of mechanical damage to fresh fruit during transportation. Poor driving performance, road features, package features, truck features, package location, and fruit features are the main factors that affect truck vibration. After the harvest, the crop's quality can be maintained and cannot be improved. Thus, the globalization of fresh produce trade needs better long-distance transportation systems to deliver high-quality products to the consumer. Fruit packaging is an essential factor in reducing the mechanical damages caused by transportation. A wide-ranging of distribution environments could affect designing packages. Accurate information about the traffic and transportation status of any region helps packaging designers to produce a more precise simulation of the existing conditions. Thus, this research was conducted to analyze the vibration levels for truck transport on highway roads using multi-sensor-based computing on packaged fruit in Iran.
Materials and Methods
Towards this goal, a wireless sensor network (WSN) made of three sensor nodes with tri-axial accelerometers was designed to measure the vibration levels of a truck equipped with leaf-spring suspension on highway roads. This WSN solution enabled the sensors to be easily mounted at different locations and provided real-time data monitoring. A GPS receiver and a laptop were used to determine the location of the truck, and data analysis, receptively. To analyze the vibration data a, power spectral density function (PSD) levels were applied. A PSD function shows the strength of the variations (energy) as a function of frequency. Broadly, it shows at which frequencies variations are strong and weak. The vibration levels measurement was carried out on three trucks with leaf-spring suspension. The three selected routes represent different roads type in Iran. The reason for sampling the data acquired in the long route was to obtain information from different geographical locations on the country's roads.
Results and Discussion
The acquired data can be used in laboratory vibration tests if it is independent of the fruit type. Because the acceleration of the truck bed, unlike the one in top rows, does not depend on the fruit type and the acceleration at the end of the truck is higher than at the front, the current study focused on the vibration at the end of the truck bed. Compared to the ASTM 4728 standard, the PSD levels of the truck on highway roads were higher from 1 to 35 Hz and lower from 35 to 200 Hz. The average RMSG values calculated for lateral, longitudinal and vertical directions of heavy trucks were 0.406, 0.236, and 0.654 G, respectively. For trucks with spring suspension, the highest PSD values occurred at frequencies below 6 Hz, and the frequency range of 3-4 Hz was determined as the dominant frequency. Comparing the average RMSG (0.654 G) found with the ones mentioned in previous studies showed that the vertical vibration levels of the truck in Iran are higher than in most countries. Apart from driving quality, these results can be explained by the type of suspension system, amount of load, and road quality.
Conclusion
In sum, the results can be used to simulate the truck transport conditions by programmable vibration simulators to reproduce the vibration conditions for package testing on Iran roads. The findings are highly interested in improving packaging design, reducing fruit damage, maintaining shelf life, smart transportation, and related industries. Thus, potential future works are lab simulations, optimizations of packages, and the development of a real-time vibration monitoring system.

Keywords

Main Subjects

Open Access

©2022 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. Bachmann, J., and R. Earles. 2000. Postharvest handling of fruits and vegetables. Appropriate Technology Transfer for Rural Areas: 1-19.
  2. Chonhenchob, V., S. P. Singh, J. J. Singh, S. Sittipod, D. Swasdee, and S. Pratheepthinthong. 2010. Measurement and analysis of truck and rail vibration levels in Thailand. Packaging Technology and Science 23: 91-100.
  3. Chonhenchob, V., S. Sittipod, D. Swasdee, P. Rachtanapun, S. Singh, and J. A. Singh. 2009. Effect of truck vibration during transport on damage to fresh produce shipments in Thailand. Industrial Technology: 6.
  4. Garcia Romeu Martinez, M. A., S. P. Singh, and V. A. Cloquell Ballester. 2008. Measurement and analysis of vibration levels for truck transport in Spain as a function of payload, suspension and speed. Packaging Technology and Science 21: 439-451. https://doi.org/10.1002/pts.798.
  5. Gebresenbet, G., S. Aradom, F. S. Bulitta, and E. Hjerpe. 2011. Vibration levels and frequencies on vehicle and animals during transport. Biosystems Engineering 110: 10-19. https://doi.org/10.1016/j.biosystemseng.2011.05.007.
  6. Hinsch, R., W. Craig, D. Slaughter, and J. Thompson. 1992. Vibration of fresh fruits and vegetables during refrigerated truck transport. American Society of Agricultural Engineers 36 (4): 1039-1042. DOI: 13031/2013.28431.
  7. Ishikawa, Y., H. Kitazawa, and T. Shiina. 2009. Vibration and shock analysis of fruit and vegetables transport-Cherry transport from Yamagata to Taipei. Japan Agricultural Research Quarterly: JARQ 43: 129-135.
  8. La Scalia, G., M. Enea, R. Micale, O. Corona, and L. Settanni. 2015. Damage to strawberries caused by simulated transport. International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering 9 (5).
  9. Lu, F., Y. Ishikawa, H. Kitazawa, and T. Satake. 2010. Effect of vehicle speed on shock and vibration levels in truck transport. Packaging Technology and Science 23: 101-109. DOI: 1002/pts.882.
  10. Lu, F., Y. Ishikawa, T. Shiina, and T. Satake. 2008. Analysis of shock and vibration in truck transport in Japan. Packaging Technology and Science 21: 479-489.
  11. Mansouri Alam, A., and E. Ahmadi. 2018. Determination of Bruising Damages of Tomato during Road Transportation Process. Journal of Agricultural Machinery 8 (1): 185-196. (In Persian). http://doi.org/10.22067/jam.v8i1.59189.
  12. Park, J., S. Choi, and H. M. Jung. 2020. Measurement and Analysis of Vibration Levels for Truck Transport Environment in Korea. Applied Sciences 10: 6754. https://doi.org/10.3390/app10196754.
  13. Ranathunga, C., H. Jayaweera, S. Suraweera, S. Wattage, K. Ruvinda, and T. Ariyaratne. 2010. Vibration effects in vehicular road transportation. Proceedings of the Technical Sessions 26: 9-16.
  14. Rissi, G. O., S. P. Singh, G. Burgess, and J. Singh. 2008. Measurement and analysis of truck transport environment in Brazil. Packaging Technology and Science 21 (4): 231-246. https://doi.org/10.1002/pts.797.
  15. Rostampour, V., and A. M., Motlagh. 2018. Evaluation of the bruising susceptibility of apple in transport conditions. Bulgarian Journal of Agricultural Science 24 (5): 902-908.
  16. Ruiz Garcia, L., P. Barreiro, J. Rodriguez Bermejo, and J. Robla. 2007. Monitoring the intermodal, refrigerated transport of fruit using sensor networks. Spanish Journal of Agricultural Research 5 (2): 142-156. DOI: 5424/sjar/2007052-234.
  17. Shahbazi, F., A. Rajabipour, S. Mohtasebi, and S. Rafie. 2010. Simulated in-transit vibration damage to watermelons. Journal of Agricultural Science and Technology 12: 23-34.
  18. Singh, S. P., A. Sandhu, J. Singh, and E. Joneson. 2007. Measurement and analysis of truck and rail shipping environment in India. Packaging Technology and Science: An International Journal 20 (6): 381-392. https://doi.org/10.1002/pts.764.
  19. Soleimani, B., and E. Ahmadi. 2014. Evaluation and analysis of vibration during fruit transport as a function of road conditions, suspension system and travel speeds. Engineering in Agriculture, Environment and Food 8 (1): 26-32. https://doi.org/10.1016/j.eaef.2014.08.002.
  20. Springael, J., A. Paternoster, and J. Braet. 2018. Reducing postharvest losses of apples: Optimal transport routing (while minimizing total costs). Computers and electronics in agriculture 146: 136-144. https://doi.org/10.1016/j.compag.2018.02.007.
  21. Vigneault, C., J. Thompson, S. Wu, K. C. Hui, and D. LeBlanc. 2009. Transportation of fresh horticultural produce. Postharvest Technologies for Horticultural Crops 2: 1-24.
  22. Vursavuş, K., and F. Özgüven. 2004. Determining the effects of vibration parameters and packaging method on mechanical damage in golden delicious apples. Turkish Journal of Agriculture and Forestry 28 (5): 311-320.
  23. Wasala, W., D. Dharmasena, T. Dissanayake, and B. Thilakarathne. 2015. Vibration simulation testing of banana bulk transport packaging systems. Tropical Agricultural Research 26 (2): 355. DOI: 4038/tar.v26i2.8098.
  24. Yenge, G. B., and U. Nidoni. 2014. Transportation losses in fresh fig (Ficus Carica) fruits. International Journal of Farm Sciences 4 (3): 100-109.
  25. Zhang, L. W., C. Yang, Y. Wang, D. Pan, X. Meng, and T. Tong. 2011. Vibration and impact performance tests of cherry tomato transport packages. Transactions China Society Agriculture Machinery 42 (3): 125-130.
  26. Zhou, H., and Z. W. Wang. 2018. Measurement and analysis of vibration levels for express logistics transportation in South China. Packaging Technology and Science 31: 665-678. https://doi.org/10.1002/pts.2404.
  27. Zhou, R., S. Su, L. Yan, and Y. Li. 2007. Effect of transport vibration levels on mechanical damage and physiological responses of Huanghua pears (Pyrus pyrifolia Nakai, cv. Huanghua). Postharvest Biology and Technology 46 (1): 20-28. https://doi.org/10.1016/j.postharvbio.2007.04.006.
CAPTCHA Image