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Vibration Suppression with Use of Input Shaping Control in Machining
 
 
Article

Adjusting the Stiffness of Supports during Milling of a Large-Size Workpiece Using the Salp Swarm Algorithm

1
Faculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, 80-233 Gdańsk, Poland
2
Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin, 70-310 Szczecin, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Sławomir Duda
Sensors 2022, 22(14), 5099; https://doi.org/10.3390/s22145099
Received: 15 June 2022 / Revised: 1 July 2022 / Accepted: 5 July 2022 / Published: 7 July 2022
(This article belongs to the Special Issue Intelligent Mechatronic Systems—Materials, Sensors and Interfaces)
This paper concerns the problem of vibration reduction during milling. For this purpose, it is proposed that the standard supports of the workpiece be replaced with adjustable stiffness supports. This affects the modal parameters of the whole system, i.e., object and its supports, which is essential from the point of view of the relative tool–workpiece vibrations. To reduce the vibration level during milling, it is necessary to appropriately set the support stiffness coefficients, which are obtained from numerous milling process simulations. The simulations utilize the model of the workpiece with adjustable supports in the convention of a Finite Element Model (FEM) and a dynamic model of the milling process. The FEM parameters are tuned based on modal tests of the actual workpiece. For assessing simulation results, the proper indicator of vibration level must be selected, which is also discussed in the paper. However, simulating the milling process is time consuming and the total number of simulations needed to search the entire available range of support stiffness coefficients is large. To overcome this issue, the artificial intelligence salp swarm algorithm is used. Finally, for the best combination of stiffness coefficients, the vibration reduction is obtained and a significant reduction in search time for determining the support settings makes the approach proposed in the paper attractive from the point of view of practical applications. View Full-Text
Keywords: large-size workpiece machining; milling vibrations; stiffness adjustment; salp swarm algorithm large-size workpiece machining; milling vibrations; stiffness adjustment; salp swarm algorithm
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MDPI and ACS Style

Kaliński, K.J.; Galewski, M.A.; Stawicka-Morawska, N.; Mazur, M.; Parus, A. Adjusting the Stiffness of Supports during Milling of a Large-Size Workpiece Using the Salp Swarm Algorithm. Sensors 2022, 22, 5099. https://doi.org/10.3390/s22145099

AMA Style

Kaliński KJ, Galewski MA, Stawicka-Morawska N, Mazur M, Parus A. Adjusting the Stiffness of Supports during Milling of a Large-Size Workpiece Using the Salp Swarm Algorithm. Sensors. 2022; 22(14):5099. https://doi.org/10.3390/s22145099

Chicago/Turabian Style

Kaliński, Krzysztof J., Marek A. Galewski, Natalia Stawicka-Morawska, Michał Mazur, and Arkadiusz Parus. 2022. "Adjusting the Stiffness of Supports during Milling of a Large-Size Workpiece Using the Salp Swarm Algorithm" Sensors 22, no. 14: 5099. https://doi.org/10.3390/s22145099

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