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Paper ID:IJSREM68394

Static Structural Analysis and Gusset-Based Geometry Optimization of a Smartphone-Controlled Mini Electric Forklift

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Subject:

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Paper ID:

IJSREM68394

Volume:

10 |

10 |

Oct 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Dr.M. S. Dhande

Dr.M. S. Dhande

Deparment of Mechanical Engineering

Priyadarshini College of Engineering

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Ansh Sharnagat

Ansh Sharnagat

Deparment of Mechanical Engineering

Priyadarshini College of Engineering

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Moreshwar Daburkar

Moreshwar Daburkar

Deparment of Mechanical Engineering

Priyadarshini College of Engineering

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Sanket Nikode

Sanket Nikode

Deparment of Mechanical Engineering

Priyadarshini College of Engineering

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Sanket Chafle

Sanket Chafle

Deparment of Mechanical Engineering

Priyadarshini College of Engineering

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Sahil Kewat

Sahil Kewat

Deparment of Mechanical Engineering

Priyadarshini College of Engineering

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Shrunkhal Nitnaware

Shrunkhal Nitnaware

Deparment of Mechanical Engineering

Priyadarshini College of Engineering

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Abstract

Miniature electric forklifts are ideally suited for workshop environments and educational laboratory facilities. However, their light metal frames are frequently designed intuitively, rather than analytically. This paper presents the static structural analysis of a smartphone controlled mini forklift based on an ESP32 controller, five 12 V geared DC motors and a belt-and-pulley lifting mechanism mounted on 12 mm guide rods. A SolidWorks Simulation model of the complete assembly was subjected to stepwise loads of 2.5 N to 20 N per fork arm, and three design variants were compared in terms of finite element method results: a bent L-bracket made of mild steel, the same bracket fabricated from alloy steel, and an alloy-steel box gusset plate. The mild-steel bracket exceeded its 250 MPa yield strength already at 2.5 N per arm (291.1 MPa). Utilization of alloy steel increased the allowable payload to approximately 1.1 kg with a factor of safety of 1.02 at 5.5 N per arm. Replacing the L-bracket by the gusset plate reduced the maximum von Mises stress at this load from 609.2 MPa to 168.8 MPa and the maximum deflection from 19.35 mm to 3.70 mm. The optimized frame can carry the 3 kg design payload with a factor of safety of 1.31 and yields at a mass of about 4 kg. The results of the simulation have not been compared to measurements on a prototype.

KEYWORDS

Mini forklift Static structural analysis Finite element method Gusset plate Factor of safety ESP32.

Cite This Article

Dr.M. S. Dhande, Ansh Sharnagat, Moreshwar Daburkar, Sanket Nikode, Sanket Chafle, Sahil Kewat, Shrunkhal Nitnaware, "Static Structural Analysis and Gusset-Based Geometry Optimization of a Smartphone-Controlled Mini Electric Forklift," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-7, Oct 2026.

Full Article/Conclusion

A static structural simulation was performed on a smartphone-controlled mini electric forklift to determine whether its frame could withstand the 3 kg (30 N) payload that the lift drive was designed for. In the model, the original bent L-bracket in mild steel could not. It exceeded its yield strength at 2.5 N per arm, a payload of about half a kilogram. Alloy steel in the same bracket increased the usable payload to around 1.1 kg with a factor of safety of 1.02 at 5.5 N per arm. Adding two triangular side walls to form a box-like gusset plate reduced the peak von Mises stress at that load by 72.3% and the peak displacement by 80.9%. The improved design carries the 30 N design load with a factor of safety of 1.31 and a mast-top displacement of 10.58 mm, and reaches yield at about 20 N per arm, which is a total of roughly 4 kg. The geometry change was more worthwhile than the change of material and did not require thicker plate, which keeps the vehicle light. Based on these simulation results, a rated payload of 2 kg (factor of safety about 2.0) is suggested for routine use. The main limitations of the work are its static and linear nature, the lack of experimental validation, of a reported mesh-convergence study and of design calculations for the drive, lift and battery, and the lack of a tipping-stability analysis. Future work therefore will cover strain-gauge and deflection measurements on the prototype, fatigue and dynamic analysis of the improved bracket, a tipping-stability study, and possible electronic additions such as obstacle detection, load sensing, battery monitoring and IoT-based supervision, none of which is present in the current vehicle

References

[1]               J. Yadav, M. Vishwakarma, S. M. Shakir, S. Yadav and Y. Rehman, “Design and fabrication of electric forklift,” Int. J. Res. Appl. Sci. Eng. Technol. (IJRASET), vol. 10, no. 4, pp. 589–593, Apr. 2022, doi: 10.22214/ijraset.2022.41344. [2]               A. A. Sequeira, S. Mohammed, A. A. Kumar, M. Sameer, Y. A. Kareem, and K. H. Sachidananda, “Design and fabrication of battery-operated forklift,” J. Eur. Syst. Autom., vol. 52, no. 6, pp. 569–574, Dec. 2019, doi: 10.18280/jesa.520604. [3]               S. B. Raut, K. D. Gawade, V. N. Mane, S. N. More, and A. V. Suryavanshi, “Design of electric forklift used in small industrial warehouses and workshops,” Int. J. Eng. Res. Technol. (IJERT), vol. 9, no. 4, pp. 673–677, Apr. 2020. [4]               J.-G. Lee, Y.-S. Kim, and J. H. Lee, “Preventing forklift front-end failures: Predicting the weight centers of heavy objects, remaining useful life prediction under abnormal conditions, and failure diagnosis based on alarm rules,” Sensors, vol. 23, no. 18, Art. no. 7706, 2023, doi: 10.3390/s23187706. [5]               K. N. Khebude, “Design and analysis of mechanical forklift,” Int. J. Sci. Res. Eng. Dev. (IJSRED), vol. 3, no. 2, pp. 685–690, Mar.–Apr. 2020. [6]               K. Hema Latha, S. Misbahuddinhusaini, S. A. S. Sohail and M. A. Khan, “Design and analysis of a remotely operated mini forklift bot,” E3S Web Conf., vol. 309, Art. no. 01168, 2021, doi: 10.1051/e3sconf/202130901168. [7]               A. Jalal et al., “Design and development of a low-cost, eco-friendly forklift for sustainable logistics management,” Front. Built Environ., vol. 10, Art. no. 1506495, Jan. 2025, doi: 10.3389/fbuil.2024.1506495. [8]               R. G. Shete, S. K. Kakade, and M. Dhanvijay, “A blind-spot assistance for forklift using ultrasonic sensor,” in Proc. IEEE Int. Conf. Technol., Res., Innov. Betterment Soc. (TRIBES), 2021, pp. 1–4, doi: 10.1109/TRIBES52498.2021.9751672. [9]               L. Cheng, D. Zhao, T. Li, and Y. Wang, “Modeling and simulation analysis of electric forklift energy prediction management,” Energy Rep., vol. 8, pp. 353–365, 2022, doi: 10.1016/j.egyr.2022.03.071. [10]             M. Mohammadpour et al., “Energy-efficient motion planning of an autonomous forklift using deep neural networks and kinetic model,” Expert Syst. Appl., vol. 237, part C, Art. no. 121623, Mar. 2024, doi: 10.1016/j.eswa.2023.121623. [11]             Dassault Systèmes, SOLIDWORKS Simulation Premium 2025 SP1.2, Vélizy-Villacoublay, France, 2025. [Software]. Available: https://solidworks.com [12]             O. C. Zienkiewicz, R. L. Taylor, and J. Z. Zhu, The Finite Element Method: Its Basis and Fundamentals, 7th ed. Oxford, U.K.: Butterworth-Heinemann, 2013. [13]             R. G. Budynas and J. K. Nisbett, Shigley’s Mechanical Engineering Design, 10th ed. New York, NY, USA: McGraw-Hill, 2015.

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Publication Date

10/27/2026

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Double-Blind Peer Review

Review Rounds: 2

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