https://doi.org/10.4081/jae.2023.1448
Modelling, analysis, and optimisation of the rear axle of cereal combine harvester under real loads using finite elements method
Published: 8 February 2023
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Cereals combine harvester is one of the agricultural machines that work under challenging conditions, and different forces are applied to its parts. This study aimed to analyse static and dynamic loads on the rear axle of the JD955 combine harvester to optimise it. First, real loads on the axle were measured by a special electronic system in stationary and moving modes on roads and farms with various forward speeds. Then, a geometric model of the axle was designed in the CATIA software. Finally, the ANSYS Workbench software performed static, harmonic, transient, and dynamic analyses using the finite element method. The mean of maximum loads on the axle in stopped mode, asphalt road, dirt road, and inside the farm (while moving parallel and perpendicular to the farrows and turning in farm end) were equal to 15.067, 18.830, 49.167, 21.428, 27.07 and 27.857 KN, respectively. There was a relatively linear relationship between the axle load and deformation. At the maximum load of 49.167 KN, the maximum von Mises stresses of 1200, 85.848, 21.392, and 1.754e-14 MPa were obtained in static, transient, dynamic, and harmonic analyses, respectively. Since structural errors in the axle were numerically close to zero, the calculated stress values had good accuracy. The axle fatigue life for most loads was equal to the ideal value of 106 cycles. The least fatigue safety factor was obtained from 0.072 to 0.745 in static analysis and from 0.174 to 1.029 in linear transient analysis. According to the analysis results, it was necessary to optimise the existing axle design. So, a rectangular piece was suggested as the suitable design for the JD955 rear axle middle section.
Abd Rahman R., Nasir Tamin M., Kurdi O. 2008. Stress analysis of heavy duty truck chassis as a preliminary data for its fatigue life prediction using FEM. J. Mek. 26:76-85.
Aduloju S.C., Mgbemena C.O., Ebhota W.S., Bolarinwa G.O. 2014. Computer aided structural analysis of axle tilting effect on tractor front axle support. Innov. Syst. Des. Eng. 5:12-31.
Avikal Sh., Bisht A., Sharma D., Hindwan H., Yadav S., Kumar K.C.N., Thakur P. 2020. Design and fatigue analysis of front axle beam of a heavy duty truck using ansys. Mat. Today: Proc. 26:3211-5.
Azadbakht M., Esmaili Shayan M., Jafari H. 2013a. Investigation of long shaft failure in John Deere 955 grain combine harvester under static load. Univers. J. Agric. Res. 1:70-3.
Azadbakht M., Taghizadeh-Alisaraei A., Hashemi A., Janzadeh Galogah R. 2013b. Analysis of stresses on straw walker crankshaft of John Deere 995 combine harvester. Univers. J. Agric. Res. 1:9-16.
Azevedo T.F., Sampaio W.R.V., Câmara E.C.B., Lima G.D., Silva W.F.S., Ramos S.S. 2020. Failure analysis of a sugarcane loader rear shaft. Eng. Fail. Anal. 109:104326.
Bansal H., Kumar S. 2012. Weight reduction and analysis of trolley axle using ANSYS. Int. J. Eng. Manag. Res. 2:32-6.
Budynas R.G., Nisbett J.K. 2011. Shigley’s mechanical engineering design. 9th ed. Series in Mechanical Engineering; McGraw-Hill, New York, NY, USA.
Chaphalkar S.P., Khetre S. 2016. Design and model analysis of rear axle with two ends spur geared using FEA. Int. J. Mech. Eng. Tech. 7:502-9.
Dhande K.V., Ulhe P. 2014. Design and analysis of front axle of heavy commercial vehicle. Int. J. Sci. Tech. Manag. 3:114-22.
Ewins, D.J. 2000. Modal testing: theory, practice and application. 2nd ed. Research Studies Press Ltd., Hertfordshire, UK.
Guo W., Ding N., Xu N., Liu L., Li N., Shi J., Wu C.L. 2020. Fracture analysis of a welded front axle tube structure from a mini-truck. J. Mech. Sci. Technol. 34:109-16.
Hunt D.R. 2001. Farm power and machinery management, laboratory manual and work. Translated by M. Behroozi-Lar. Tehran University Press, Tehran, Iran [In Farsi].
Hussain S., Zheng D., Song H., Farid M.U., Ghafoor A., Ba X., Wang H., Wang W., Sher A., Alshamali S.J. 2022. Computational fluid dynamics simulation and optimisation of the threshing unit of buckwheat thresher for effective cleaning of the cleaning chamber. J. Agric. Eng. 53:1230.
Jafari A., Khanali M., Mobli H., Rajabipour A. 2006. Stress analysis of front axle of JD955 combine Harvester under Static Loading. J. Agric. Soc. Sci. 2:133-5.
Jahanbakhshi A., Heidari Raz Darreh S., Kheiralipour K. 2018. Simulation and static and fatigue analysis of cross bar of moldboard plough by finite element method (FEM). Iran J. Biosyst. Eng. 49:341-52. [In Farsi].
Jahanbakhshi A., Heidarbeigi K. 2019. Simulation and mechanical stress analysis of the lower link arm of a tractor using finite element method. J. Fail. Anal. Preven. 19:1666-72.
Khanali M., Jafari A., Mobli H., Rajabipour A. 2010. Analysis and design optimization of a frontal combine harvester axle using finite element and experimental methods. J. Food Agric. Environ. 8:359-64.
Leon N., Martinez P.O., Adaya P. 2000. Reducing the weight of a frontal axle beam using experimental test procedures to fine tune FEA. In 2nd Worldwide MSC Automotive Conference, Dearborn, MI, USA.
Mahanty K.D., Manohar V., Khomane B.S., Nayak S. 2001. Analysis and weight reduction of a tractor’s front axle. Tata Consultancy Services. Swarup Udgata, International Auto Limited, India.
Mokhtari A., Moradi M., Tarkesh Esfahani R. 2015. Modelling and analysis in ANSYS Workbench for Engineers; 2nd Press. Andishe Sara Publication, Tehran, Iran [In Farsi].
Mujahidin F., Andoko. 2019. Stress analysis of rear axle pick-up with finite element method. IOP Conf. Ser. Mater. Sci. Eng. 494:012028.
Nanaware G.K., Pable M.J. 2003. Failures of rear axle shafts of 575 DI tractors. Eng. Fail. Anal. 10:719-24.
Oyyaravelu R., Annamalai K., Senthil Kumar M., Naiju C.D., Michael J. 2012. Design and analysis of front axle for two wheel drive tractor. Adv. Mater. Res. 488:1808-12.
Paul I.D., Bhole G.P., Chaudhari J.R. 2013. Optimization of tractor trolley axle for reducing the weight and cost using finite element method. J. Eng. Comput. Appl. Sci. (JEC&AS) 2:31-5.
Pourdarbani R., Tarighi J. 2019. Choosing the proper material to optimize the front axle of the tractor Mf285 using finite element. Emir. J. Eng. Res. 24:Article 1.
Ramachendran, Paramesh G., Madhusudhan. 2016. Optimization of tractor trolley axle using FEM. Int. Refereed J. Eng. Sci. (IRJES) 5:52-61.
Rasekh M., Asadi M.R., Jafari A., Kheiralipour K. 2009. Obtaining maximum stresses in different parts of tractor (Mf-285) connecting rods using finite element method. Aust. J. Basic Appl. Sci. 3:1438-49.
Rezaei A., Masoudi H., Zaki Dizaji H., Khorasani Ferdavani M.E. 2022. Development of an electronic system for determining vertical loads on the rear axle of cereal combine harvesters in motion. J. Agri. Mach. 12:241-52.
Srivastava A.K., Goering C.E., Rohrbach R.P. 1995. Engineering principles of agricultural machines. Published by ASAE. Tarighi J., Mohtasebi S.S., Alimardani R. 2011. Static and dynamic analysis of front axle housing of tractor using finite element methods. Aust. J. Agric. Eng. (AJAE) 2:45-9.
Topaç M.M., Günal H., Kuralay N.S. 2009. Fatigue failure prediction of a rear axle housing prototype by using finite element analysis. Eng. Fail. Anal. 16:1474-82.
Tretjakovas J., Čereška A. 2021. The truck trailer suspension axles failure analysis and modelling. Transport. 36:213-20.
How to Cite
Rezaei, A. (2023) “Modelling, analysis, and optimisation of the rear axle of cereal combine harvester under real loads using finite elements method”, Journal of Agricultural Engineering, 54(2). doi: 10.4081/jae.2023.1448.
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