IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i3p416-d1351383.html
   My bibliography  Save this article

Analyzing Safety Factors and Predicting Fatigue Life of Weak Points in an Electrically Driven, Multi-Purpose Cultivation Tractor

Author

Listed:
  • In-Seok Hwang

    (Department of Biosystems Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea)

  • Jeong-Hun Kim

    (Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea
    Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Republic of Korea)

  • Wan-Tae Im

    (Department of Biosystems Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea)

  • Hwan-Hong Jeung

    (Cheung Won SFA Co., Ltd., Seoul 08389, Republic of Korea)

  • Ju-Seok Nam

    (Department of Biosystems Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea
    Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Republic of Korea)

  • Chang-Seop Shin

    (Department of Biosystems Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea)

Abstract

The advancement of agriculture and a shortage of labor have led to an increased use of agricultural machinery. However, the resulting environmental issues have prompted a shift from internal combustion engines to electric drivetrains. The electric drivetrain includes the installation of batteries, which can lead to decreased energy efficiency and significant loads on the vehicle due to their heavy weight. Consequently, the importance of ensuring the safety of agricultural machinery is being increasingly emphasized. The load on the frame of agricultural machinery is not consistent during off-road driving, and the accumulation of load cycles can lead to the destruction and failure of components. Therefore, it is necessary to ensure a level of safety and to predict the fatigue life. In this study, we estimate the safety factor and predict the fatigue life of weak points in an electrically driven, multi-purpose cultivation tractor based on working conditions (width, soil, and drive). Strain gauges were attached to these weak points to measure the strain, which was then converted to von Mises stress. Fatigue life was predicted using the rainflow counting method and the Palmgren–Miner rule. The results showed that the safety factor measured under various working conditions was greater than 1. The estimated minimum fatigue life was 124,176 years. Considering that the cultivator is used for 29.7 h annually and has a durability lifespan of 5 years, it is expected to be safely usable throughout its service life.

Suggested Citation

  • In-Seok Hwang & Jeong-Hun Kim & Wan-Tae Im & Hwan-Hong Jeung & Ju-Seok Nam & Chang-Seop Shin, 2024. "Analyzing Safety Factors and Predicting Fatigue Life of Weak Points in an Electrically Driven, Multi-Purpose Cultivation Tractor," Agriculture, MDPI, vol. 14(3), pages 1-17, March.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:3:p:416-:d:1351383
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/3/416/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/3/416/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fleisher, Belton & Li, Haizheng & Zhao, Min Qiang, 2010. "Human capital, economic growth, and regional inequality in China," Journal of Development Economics, Elsevier, vol. 92(2), pages 215-231, July.
    2. Danhong Shen & Haimeng Liang & Wangfang Shi, 2023. "Rural Population Aging, Capital Deepening, and Agricultural Labor Productivity," Sustainability, MDPI, vol. 15(10), pages 1-12, May.
    3. Burd, Joshua Thomas Jameson & Moore, Elizabeth A. & Ezzat, Hesham & Kirchain, Randolph & Roth, Richard, 2021. "Improvements in electric vehicle battery technology influence vehicle lightweighting and material substitution decisions," Applied Energy, Elsevier, vol. 283(C).
    4. Ronald Lee & Andrew Mason, 2010. "Fertility, Human Capital, and Economic Growth over the Demographic Transition [Fécondité, capital humain et croissance économique au cours de la transition démographique]," European Journal of Population, Springer;European Association for Population Studies, vol. 26(2), pages 159-182, May.
    5. Guancheng Guo & Qiyu Wen & Jingjuan Zhu, 2015. "The Impact of Aging Agricultural Labor Population on Farmland Output: From the Perspective of Farmer Preferences," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-7, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniela Smiraglia & Luca Salvati & Gianluca Egidi & Rosanna Salvia & Antonio Giménez-Morera & Rares Halbac-Cotoara-Zamfir, 2021. "Toward a New Urban Cycle? A Closer Look to Sprawl, Demographic Transitions and the Environment in Europe," Land, MDPI, vol. 10(2), pages 1-14, January.
    2. Qing Li & Long Hai Vo, 2021. "Intangible Capital and Innovation: An Empirical Analysis of Vietnamese Enterprises," Economics Discussion / Working Papers 21-02, The University of Western Australia, Department of Economics.
    3. Yao Zhao & Xuena Kong & Mahmood Ahmad & Zahoor Ahmed, 2023. "Digital Economy, Industrial Structure, and Environmental Quality: Assessing the Roles of Educational Investment, Green Innovation, and Economic Globalization," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    4. Jing Li & Tsun Se Cheong & Jianfa Shen & Dahai Fu, 2019. "Urbanization And Rural–Urban Consumption Disparity: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 983-996, September.
    5. Zhou, Yixiao & Tyers, Rod, 2019. "Automation and inequality in China," China Economic Review, Elsevier, vol. 58(C).
    6. Anping Chen & Nicolaas Groenewold, 2017. "An increase in the retirement age in China: the regional economic effects," Applied Economics, Taylor & Francis Journals, vol. 49(7), pages 702-721, February.
    7. Andrea Pontiggia & Lala Hu & Marco Savorgnan, 2013. "ChinaÕs Human Resources Development: Recent Evolution and Implications for the Global Market," Working Papers 29, Department of Management, Università Ca' Foscari Venezia.
    8. Felix Roth & Anna-Elisabeth Thum, 2022. "Intangible Capital and Labor Productivity Growth: Panel Evidence for the EU from 1998–2005," Contributions to Economics, in: Intangible Capital and Growth, chapter 0, pages 101-128, Springer.
    9. Zhang, Xiaobei & Wang, Xiaojun, 2021. "Measures of human capital and the mechanics of economic growth," China Economic Review, Elsevier, vol. 68(C).
    10. Yong He & Hong Zhou, 2011. "Estimating Chinese Interprovincial OutPut Spillovers with Provincial Input-Output Tables," CERDI Working papers halshs-00553102, HAL.
    11. Jesús Crespo Cuaresma & Wolfgang Lutz & Warren Sanderson, 2014. "Is the Demographic Dividend an Education Dividend?," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 299-315, February.
    12. Yingzhu Yang & Rong Zheng & Lexiang Zhao, 2021. "Population Aging, Health Investment and Economic Growth: Based on a Cross-Country Panel Data Analysis," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    13. Erich Striessnig & Wolfgang Lutz, 2014. "How does education change the relationship between fertility and age-dependency under environmental constraints? A long-term simulation exercise," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(16), pages 465-492.
    14. Mengjie Tian & Mingyong Hong & Ji Wang, 2023. "Land resources, market-oriented reform and high-quality agricultural development," Economic Change and Restructuring, Springer, vol. 56(6), pages 4165-4197, December.
    15. Mr. Emmanuel Momolu Pope & Prof. Wilson Opile & Dr. Lucas Ngode & Dr. Chepkoech Emmy, 2023. "Assessment of Upland Rice Production Constraints and Farmers’ Preferred Varieties in Liberia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(2), pages 1307-1322, February.
    16. Murat G. Kırdar & Meltem Dayıoğlu & İsmet Koç, 2016. "Does Longer Compulsory Education Equalize Schooling by Gender and Rural/Urban Residence?," The World Bank Economic Review, World Bank, vol. 30(3), pages 549-579.
    17. Kasuga, Hidefumi & Morita, Yuichi, 2022. "The health gap and its effect on economic outcomes," Journal of Macroeconomics, Elsevier, vol. 74(C).
    18. repec:got:cegedp:140 is not listed on IDEAS
    19. Liu, Tie-Ying & Su, Chi-Wei, 2021. "Is transportation improving urbanization in China?," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    20. Lee, R., 2016. "Macroeconomics, Aging, and Growth," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 59-118, Elsevier.
    21. Nikos Benos & Nikolaos Mylonidis & Stefania Zotou, 2017. "Estimating production functions for the US states: the role of public and human capital," Empirical Economics, Springer, vol. 52(2), pages 691-721, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:3:p:416-:d:1351383. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.