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The aim of this paper is to evaluate the performance parameters of a novel power-assist drive unit dedicated to intralogistics equipment. The drive unit under investigation comprises an industrial wheel driven by a BLDC motor, mounted on a fork with a plate, enabling connection to devices such as a pallet cart. The unit is equipped with an additional drive responsible for lifting the wheel when the cart is moved manually. During preliminary tests, the forces required to move the pallet trolley were determined based on the type of floor, the type and orientation of the caster wheels, and the load. For each of the tested loads, the smallest forces were recorded for a trolley with wheels aligned with the direction of travel on a smooth floor, while the largest were observed for wheels positioned perpendicular to the intended direction of travel on a coarse-aggregate floor. To evaluate the performance of the power-assist drive unit, a test stand was built, and a detailed testing program was developed, taking into consideration the pulling (pushing) force and power consumption of one unit and a set of two electric drive units mounted on a pallet trolley. Analysis of the obtained results leads to the conclusion that the proposed drive can significantly reduce physical effort in manual transport, especially in intralogistics operations. The presented device allows for moving a trolley weighing more than 600 kg, regardless of the type and initial setting of the wheels or the smoothness of the floor.
Wydawca
Rocznik
Tom
Strony
383--392
Opis fizyczny
Bibliogr. 19 poz., fig.
Twórcy
autor
- Institute of Mechanical Technology, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
autor
- Institute of Mechanical Technology, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
autor
- Institute of Mechanical Technology, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
autor
- Institute of Mechanical Technology, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
autor
- Institute of Mechanical Technology, Poznan University of Technology, Piotrowo 3, 60-965 Poznań, Poland
autor
- Institute of Logistics, Poznan University of Technology, J. Rychlewskiego 2, 60-965 Poznań, Poland
autor
- Atres Intralogistics Sp. z o.o., Ludmiły 60, 61-054 Poznań, Poland
Bibliografia
- 1. Ergonomics - Manual handling - Part 2: Pushing and pulling, ISO standard.
- 2. Regulation of the Minister of Labor and Social Policy of March 14, 2000, on occupational health and safety in manual transport work. Journal of Laws, 2000, Poland.
- 3. Das B., Wang Y. Isometric Pull-Push Strengths in Workspace: 1. Strength Profiles. International Journal of Occupational Safety and Ergonomics 2004; 10(1): 43–58.
- 4. Fisher S.L., Picco B.R., Wells R.P., Dickerson C.R. The roles of whole body balance, shoe-floor friction, and joint strength during maximum exertions: Searching for the “Weakest Link.” Journal of Applied Biomechanics 2013; 29: 1–11.
- 5. Kuijer P.P.F.M., Hoozemans M.J.M., Frings-Dresen M.H.W. A different approach for the ergonomic evaluation of pushing and pulling in practice. International Journal of Industrial Ergonomics 2007; 37, 11–12: 855–862.
- 6. Vukicevic A.M., Macuzic I., Mijailovic N., Peulic A., Radovic M. Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors. Expert Systems with Applications 2021; 183: 115371.
- 7. Yang J.S., Ogawa S., Tsujita T., Komizunai S., Konno A. Massive object transportation by a humanoid robot. IFAC-PapersOnLine 2018; 51, 22: 250-255.
- 8. Sun Y., Xiao C., Chen L., Lu H., Wang Y., Zheng Y., Zhang Z., Xiong R. A review of intelligent walking support robots aiding sit-to-stand transition and walking. IEEE Transactions On Neural Systems And Rehabilitation Engineering 2024; 32: 1355–1369.
- 9. E-Drive Flex, www.tente.com (access 11.09.2024).
- 10. ErgoMove, www.blickle.com (access 11.09.2024).
- 11. Drive Caster, www.casterconcepts.com (access 11.09.2024).
- 12. Modular wheel drives, www.nanotec.com (access 11.09.2024).
- 13. Ammari O., El Majdoub K., Giri F., Baz R. Dynamic modelling of the longitudinal movement of an electric vehicle in propulsion mode equipped with BLDC in-wheel motors, taking tire dynamics into account. IFAC-PapersOnLine 2024; 58(13): 709–714.
- 14. Kittisares S., Yasuda S., Kumagai T., Yoshida H. Error prediction of a differential drive wheeled robot with a swivel caster wheel. IFAC-PapersOnLine 2023; 56(2): 6813–6819.
- 15. Wan X., Yamada Y. An acceleration-based nonlinear time-series analysis of effects of robotic walkers on gait dynamics during assisted walking. IEEE Sensors Journal 2022; 22(21): 21188–21196.
- 16. Wan X., Ma J., Zhang Y., Endo T., Matsuno F. A power-assisted cart with the optimal assistance ratio and disturbance observer-based methods for walking assistance applications. Applied Science 2021; 11(3): 1079.
- 17. Sato R., Nishida R., Hara S., Okuda H., Nagatsuka M., Tsuji M., Suzuki T. Operability evaluation of manual operation control for force-sensorless power-assist transport cart. Mechatronics 2024; 100: 103189.
- 18. Sato R., Nishida R., Hara S., Okuda H., Nagatsuka M., Tsuji M., Suzuki T. Longitudinal and turning manual operation control for a force-sensorless power-assisted transport cart. IFAC-PapersOnLine 2023; 56(2): 1121–1126.
- 19. Sato R., Hirokawa S., Hara S., Nishida R., Okuda H., Nagatsuka M., Suzuki T. Adaptive mode-switching from autonomous driving mode to manual operation mode of mobile robot based on body sway. Transactions of the Institute of Systems, Control and Information Engineers 2023; 36(3): 55–63.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1d334b65-e7ca-462a-966c-0cd1289617c2
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