Design and Analysis of Pick and Place Robot Gripper in the Fertilizer Industry
DOI:
https://doi.org/10.31181/rme511Keywords:
Pick and Place Robot, Fertilizer Industry, French Method, Gripper, Industrial Automation, SDGs 9.Abstract
The large-scale fertilizer industry faces challenges in the material handling process, especially in moving heavy and repetitive fertilizer sacks. The manual process used not only burdens the workforce physically but also risks causing work injuries, time inefficiencies, and inconsistent handling quality. Therefore, an automation-based solution is needed to improve productivity and work safety. This study aims to design and analyze a pick-and-place robot that can be used in the fertilizer industry to enhance the efficiency of the production process, especially in moving fertilizer sacks weighing up to 50 kg. The design method used is the French Method, which consists of the stages of problem analysis, conceptual design, schematic form, and detailing. The design was carried out using Autodesk Inventor for 3D modelling and ANSYS for simulation of loading on the robot gripper. The gripper was designed using a pneumatic system with an 18-fork structure and validated through mesh simulations to ensure its strength and stability. This study also involved design selection based on expert validation and mesh element quality analysis. The study results show that the gripper design has an average skewness value of 0.49, which is included in the "outstanding" category, indicating that the design is feasible for implementation in the fertilizer industry automation system. This pick-and-place robot's implementation is expected to replace manual processes, reduce human workload, and increase industrial effectiveness and productivity.
References
Balaha, F., Albinali, H., Alrabiah, H., Ali, M., & Bahroun, Z. (2025). An analytical review of data integration for decision support in smart manufacturing. Decision Analytics Journal, 100647. https://doi.org/10.1016/j.dajour.2025.100647
Chen, Y., Tong, D., Zhao, Y., Chen, T., & Fan, X. (2025). SCMAS: an IMU-based 6-DOF closed-loop permanent magnet actuation system for magnet agent. Scientific reports, 15(1), 17808. https://doi.org/10.1038/s41598-025-00320-y
Diana, L., Setiyawan, A., Ulum, A. B., Safitra, A. G., & Ariansyah, M. N. (2021). Studi Numerik Centrifugal Fan Tipe Impeller Backward dengan Variasi Putaran Fan. JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY, 5(2), 168-178. https://doi.org/10.31289/jmemme.v5i2.5181
Jeba Kumar, S. M., Santhosh. (2024). Cost-Effective Industrial Automation Control System. J. Electrical Systems, 20(3), 9651 - 9661. https://journal.esrgroups.org/jes/article/view/8547
Kariuki, S., Wanjau, E., Muchiri, I., Muguro, J., Njeri, W., & Sasaki, M. (2024). Pick and Place Control of a 3-DOF Robot Manipulator Based on Image and Pattern Recognition. Machines, 12(9), 665. https://doi.org/10.3390/machines12090665
Minchala, L. I., Peralta, J., Mata-Quevedo, P., & Rojas, J. (2020). An approach to industrial automation based on low-cost embedded platforms and open software. Applied Sciences, 10(14), 4696. https://doi.org/10.3390/app10144696
Nguyen, P. T., Su, S. F., Tan, P. X., & Bui, T. L. (2025). Vision-Based Pick and Place Control System for Industrial Robots Using an Eye-in-Hand Camera. IEEE Access, 13, 25127-25140. https://doi.org/10.1109/ACCESS.2025.3536496
Parra-López, C., Abdallah, S. B., Hassoun, A., Jagtap, S., Garcia-Garcia, G., Hassen, T. B., Trollman, H., Trollman, F., & Carmona-Torres, C. (2025). Digital and Industry 4.0 technologies in olive farming and industry: Recent applications and future outlook. Smart Agricultural Technology, 101376. https://doi.org/10.1016/j.atech.2025.101376
Prabhakar, M., Paulraj, V., Kannappan, D. A. K., Dhanraj, J. A., & Ganapathy, D. (2021). Remote controlled pick and place robot. In IOP Conference Series: Materials Science and Engineering (Vol. 1012, pp. 012003). IOP Publishing. https://doi.org/10.1088/1757-899x/1012/1/012003
Spreen, T. L., Wang, Z., & Yang, L. K. (2025). Industrial automation and local public goods. Journal of Public Economics, 247, 105394. https://doi.org/10.1016/j.jpubeco.2025.105394
Wienbruch, R., Rupp, N., Dreischke, R., Mayer, V., Fenske, I., Bauer, R., & Zuchner, T. (2025). Facilitating laboratory automation using a robot with a simple and inexpensive camera detection system. Scientific reports, 15(1), 20169. https://doi.org/10.1038/s41598-025-05670-1
Woo, S., Kim, Y., & Kim, S. (2025). Converging Extended Reality and Robotics for Innovation in the Food Industry. AgriEngineering, 7(10), 322. https://doi.org/10.3390/agriengineering7100322
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Reports in Mechanical Engineering

This work is licensed under a Creative Commons Attribution 4.0 International License.