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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(9): 3626-3638
DOI: https://doi.org/10.20546/ijcmas.2020.909.448


Optimizing the Design of an Inclined Subsoiler Using ANSYS
Saqib Parvaze Allaie1*, Ashok Tripathi1, P. M. Dsouza1 and Sabah Parvaze2
1Department of Farm Machinery and Power Engineering, VIAET, SHUATS, Prayagraj, India
2College of Agricultural Engineering and Technology, SKUAST-K,
Jammu and Kashmir, India
*Corresponding author
Abstract:

The present research was conducted for obtaining the optimized structural design of an inclined subsoiler with the help of ANSYS 17.0 software. The design software Solid Works was utilized for model creation using the data collected from the regional manufacturer. The structural analysis under the conditions of fixed boundary was performed in the ANSYS software. The result from the structural analysis revealed that the mass (P4) and volume (P9) of the subsoiler before optimization were 25.89 kg and 3289249.89 mm3. The maximum values for the total deformation (P5), equivalent stress (P6), principal stress (P7), and the minimum value for the safety factor (P8) were 2.7195mm, 220.77 MPa, 239.93 MPa and 1.585, respectively. Three parameters were considered for the optimization–thickness (P1), length of the curve (P2) and width of the shank (P3).Thereafter, the correlation of the output parameters with the input parameters was determined. It was observed that out of the three input parameters P1, P2, and P3, the correlation of P1 and P3 with the output parameters was high while the correlation of P2was low. Thus parameters, P1 and P3 were chosen for further analysis. Optimization was carried out with the goal being maximum safety factor and minimum subsoiler mass. The final optimized design was again modeled and its structural analysis done in ANSYS. The results post-optimization were compared against the results before optimization to find out the variations. It was found that after optimization, both P4 and P9 decreased by 18.72%, P6, and P7 by 0.71% and 1.16%, respectively while P5, P8, and maximum working life increased by 8.47%, 0.72%, and 2.48% respectively. This reduction in mass is favorable as it reduced material use and also the input energy requirement during operation.


Keywords: ANSYS, Inclined subsoiler, Structural analysis, Maximum safеty factor
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How to cite this article:

Saqib Parvaze Allaie, Ashok Tripathi, P. M. Dsouza and Sabah Parvaze. 2020. Optimizing the Design of an Inclined Subsoiler Using ANSYS.Int.J.Curr.Microbiol.App.Sci. 9(9): 3626-3638. doi: https://doi.org/10.20546/ijcmas.2020.909.448