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Vibration
Special Issues
Vibrations in Materials Processing Machines
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Vibrations in Materials Processing Machines

A special issue of Vibration (ISSN 2571-631X).

Deadline for manuscript submissions: 15 December 2024 | Viewed by 10839

Special Issue Editors

Dr. Pavlo Krot

E-Mail Website
Guest Editor
Digital Mining Center, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 13, 50-421 Wroclaw, Poland
Interests: mechanical engineering; mining machines; rolling mills; dynamic modeling; industrial engineering; automation; computer science; material science; vibration; condition monitoring; data analytics; interdisciplinary
Special Issues, Collections and Topics in MDPI journals
Dr. Volodymyr Gurski

E-Mail Website
Guest Editor
Department of Robotics and Integrated Mechanical Engineering Technologies, Lviv Polytechnic National University, 12 S. Bandera Street, 79013 Lviv, Ukraine
Interests: vibration machines; FEM modelling; nonlinear dynamics; mechanical systems optimisation; CAD; synthesis; vibro-impact systems
Dr. Vitaliy Korendiy

E-Mail Website
Guest Editor
Department of Robotics and Integrated Mechanical Engineering Technologies, Lviv Polytechnic National University, 12 S. Bandera Street, 79013 Lviv, Ukraine
Interests: vibratory technological equipment; vibration treatment technologies; vibration-driven locomotion systems and robots
Prof. Dr. Alhussein Albarbar

E-Mail Website
Guest Editor
School of Engineering, Manchester Metropolitan University, Manchester M15 6BH, UK
Interests: characterisation of vibration and acoustics; wind turbines and rotating machinery condition monitoring methods; fracture in composite materials; smart sensing nodes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The modern industrial machines suppose a high intensity of operational modes and specific loading of processed materials. The presence of contact friction forces and different structural non-linearities in the transmissions, bearings, and gear couplings provokes the vibrations in the wide frequency range. Moreover, the stochastic impacts induced by the bulk processed materials can make the process unstable and condition monitoring of the machine a difficult task. In addition, frequently non-optimal design and internal resonances create dangerous conditions, increase energy consumption, and affect the product quality.

The modelling of nonlinear dynamical systems is efficient for analysis of undesired working conditions but the identification of parameters and machine vibration measurements in harsh conditions is a quite complicated problem. Although the general theory of vibration in mechanical systems is a reasonably developed scientific domain, the different materials processing machines require specific approaches to their analysis and diagnostics. Therefore, the diversified applications represented in this Special Issue would systematise the existing issues and help to implement appropriate methods and tools for solving the real problems.

This Special Issue intends to provide state-of-the-art and dominating research trends in the vibrations of materials processing machines. A non-exhaustive list of subjects of interest could be formulated as follows:

  • Nonlinear vibrations modelling in multi-body systems;
  • Process stability monitoring based on vibration signals;
  • Stochastic impacts and vibration of bulk materials;
  • Design and optimisation of vibratory machines (sieving screens, feeders, hammers);
  • Vibration-based tumbling mills control and grinding process optimisation;
  • Detection and control of chatter vibrations in rolling mills and auxiliary equipment;
  • Friction-induced torsional vibrations in the drivetrains;
  • Vibrations and product quality in metal treatment (cutting, milling, grinding);
  • Drill strings torsional vibrations in the oil and gas industry;
  • Condition monitoring of industrial plants by the vibration signals;
  • New methods and tools of vibration measurements in harsh conditions;
  • Active and passive vibration damping and dynamical loads reduction;
  • Vibration-driven locomotion systems and robots.

Dr. Pavlo Krot
Dr. Volodymyr Gurski
Dr. Vitaliy Korendiy
Prof. Dr. Alhussein Albarbar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vibration is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multi-body models
  • vibration measurement
  • tumbling mills
  • rolling mills
  • metal treatment
  • vibratory machines
  • chatter vibration control
  • condition monitoring
  • locomotion systems
  • vibration-driven robots

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Published Papers (5 papers)

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Research

26 pages, 8059 KiB  
Article
Operational Modal Analysis of CNC Machine Tools Based on Flank-Milled Surface Topography and Cepstrum
by Liwen Guan, Yanyu Chen and Zijian Wang
Vibration 2024, 7(3), 738-763; https://doi.org/10.3390/vibration7030039 - 10 Jul 2024
Viewed by 842
Abstract
Conducting research on the dynamics of machine tools can prevent chatter during high-speed operation and reduce machine tool vibration, which is of significance in enhancing production efficiency. As one of the commonly used methods for studying dynamic characteristics, operational modal analysis is more [...] Read more.
Conducting research on the dynamics of machine tools can prevent chatter during high-speed operation and reduce machine tool vibration, which is of significance in enhancing production efficiency. As one of the commonly used methods for studying dynamic characteristics, operational modal analysis is more closely aligned with the actual working state of mechanical structures compared to experimental modal analysis. Consequently, it has attracted widespread attention in the field of CNC machine tool dynamic characteristics research. However, in the current operational modal analysis of CNC machine tools, discrepancies between the excitation methods and the actual working state, along with unreasonable vibration response signal acquisition, affect the accuracy of modal parameter identification. With the development of specimen-based machine tool performance testing methods, the practice of identifying machine tool characteristics based on machining results has provided a new approach to enhance the accuracy of CNC machine tool operational modal analysis. Existing research has shown that vibration significantly influences surface topography in flank milling. Therefore, a novel operational modal analysis method is proposed for the CNC machine tool based on flank-milled surface topography. First, the actual vibration displacement of the tooltip during flank milling is obtained by extracting vibration signals from surface topography, which enhances the accuracy of machine tool operational modal analysis from both the aspects of the excitation method and signal acquisition. A modified window function based on compensation pulses is proposed based on the quefrency domain characteristics of the vibration signals, which enables accurate extraction of system transfer function components even when the high-frequency periodic excitation of the machine tool causes overlap between the system transfer function components and the excitation components. Experimental results demonstrate that the proposed method can obtain accurate operational modal parameters for CNC machine tools. Full article
(This article belongs to the Special Issue Vibrations in Materials Processing Machines)
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16 pages, 1888 KiB  
Article
Study of an Optimized Mechanical Oscillator for the Forced Vibration of the Soil Cutting Blade
by Dario Friso
Vibration 2023, 6(1), 239-254; https://doi.org/10.3390/vibration6010015 - 21 Feb 2023
Viewed by 1927
Abstract
In the nursery sector, the transport and planting of trees must occur with the roots wrapped in a ball of the original earth. The cutting of the original soil can be carried out with a semicircular vibrating blade moved by an oscillator mounted [...] Read more.
In the nursery sector, the transport and planting of trees must occur with the roots wrapped in a ball of the original earth. The cutting of the original soil can be carried out with a semicircular vibrating blade moved by an oscillator mounted on a self-propelled machine. The oscillator produces an excitation torque supplied to the blade together with the soil cutting torque. The advantage of the vibrating blade is a reduction in the cutting torque of up to 70%. However, to correctly design the oscillator, we need to investigate the link between the maximum displacement of the blade, the maximum oscillation velocity, the cutting velocity, the dry friction, the excitation torque, the elastic torque, the cutting torque, the required power, the required energy, and the excitation frequency. The maximum displacement and velocity ratio need to have the right values to minimize the cutting torque and to avoid the springs reaching the end of stroke; otherwise, vibrations are transmitted to the machine and to the operator. Therefore, starting from the forced oscillation differential equation and using an approximate solution method developed by Den Hartog, along with some experimental data, a mathematical model was constructed to optimize the oscillator design. After construction, it was coupled to blades of various diameters (0.6, 0.9, and 1.2 m) to undergo experimental tests. The soil cutting tests highlighted the achievement of the above objectives and, at the same time, confirmed the validity of the Den Hartog equations used to calculate the phase lag and the maximum displacement, resulting in an average error of 4.4% and a maximum error of 6.4%. Full article
(This article belongs to the Special Issue Vibrations in Materials Processing Machines)
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18 pages, 3720 KiB  
Article
Bearing Fault Diagnosis Based on Multi-Scale CNN and Bidirectional GRU
by Taher Saghi, Danyal Bustan and Sumeet S. Aphale
Vibration 2023, 6(1), 11-28; https://doi.org/10.3390/vibration6010002 - 30 Dec 2022
Cited by 11 | Viewed by 3052
Abstract
Finding a reliable approach to detect bearing faults is crucial, as the most common rotating machine defects occur in its bearings. A convolutional neural network can automatically extract the local features of the mechanical vibration signal and classify the patterns. Nevertheless, these types [...] Read more.
Finding a reliable approach to detect bearing faults is crucial, as the most common rotating machine defects occur in its bearings. A convolutional neural network can automatically extract the local features of the mechanical vibration signal and classify the patterns. Nevertheless, these types of networks suffer from the extraction of the global feature of the input signal as they utilize only one scale on their input. This paper presents a method to overcome the above weakness by employing a combination of three parallel convolutional neural networks with different filter lengths. In addition, a bidirectional gated recurrent unit is utilized to extract global features. The CWRU-bearing dataset is used to prove the performance of the proposed method. The results show the high accuracy of the proposed method even in the presence of noise. Full article
(This article belongs to the Special Issue Vibrations in Materials Processing Machines)
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17 pages, 6339 KiB  
Article
Vibrations Induced by a Low Dynamic Loading on a Driven Pile: Numerical Prediction and Experimental Validation
by Aires Colaço, Pedro Alves Costa, Cecília Parente and Ahmed M. Abouelmaty
Vibration 2022, 5(4), 829-845; https://doi.org/10.3390/vibration5040049 - 17 Nov 2022
Cited by 4 | Viewed by 2179
Abstract
The present paper addresses the problem of generating and propagating vibrations induced by low-impact loading on a driven pile. In this context, an experimental test site was selected and characterized, where ground-borne vibrations induced by the application of a low dynamic loading on [...] Read more.
The present paper addresses the problem of generating and propagating vibrations induced by low-impact loading on a driven pile. In this context, an experimental test site was selected and characterized, where ground-borne vibrations induced by the application of a low dynamic loading on the pile head were measured using accelerometers placed at the ground surface. At the same time, a new numerical approach, based on a coupled FEM-PML (Finite Element Method-Perfectly Matched Layer) formulation, to model the pile–ground system was presented. A very satisfactory agreement was observed between the experimental data collected in these experiments and the prediction performed by the numerical model. The experimental data can be also used by other authors for the experimental validation of their or other prediction models. Full article
(This article belongs to the Special Issue Vibrations in Materials Processing Machines)
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12 pages, 4634 KiB  
Article
Experimental Consideration on Suppression Effect of Elastic Vibration in Electromagnetic Levitation System for Flexible Thin Steel Plate with Curvature
by Kazuki Ogawa, Riku Miyazaki, Yamato Uchida, Ikkei Kobayashi, Jumpei Kuroda, Daigo Uchino, Keigo Ikeda, Taro Kato, Ayato Endo, Takayoshi Narita and Hideaki Kato
Vibration 2022, 5(4), 817-828; https://doi.org/10.3390/vibration5040048 - 17 Nov 2022
Cited by 3 | Viewed by 1571
Abstract
Recently, research on non-contact conveyance systems using electromagnetic levitation technology has accelerated. We have constructed an electromagnetic levitation control system that keeps the relative distance between the electromagnet and steel plate constant. To investigate the levitation stability of thin steel plates, we performed [...] Read more.
Recently, research on non-contact conveyance systems using electromagnetic levitation technology has accelerated. We have constructed an electromagnetic levitation control system that keeps the relative distance between the electromagnet and steel plate constant. To investigate the levitation stability of thin steel plates, we performed magnetic levitation experiments on a thin steel plate with curvature. A physical disturbance was applied to the electromagnet units by vibrators. The electromagnet units were vibrated up and down by a vibrator. We investigated whether the bending magnetic levitation improved the levitation performance even if the magnetic levitation system was in a vibrating environment. We determined that it was possible to realize stable levitation for a steel plate under external disturbances during levitation at the optimal bending angle. Full article
(This article belongs to the Special Issue Vibrations in Materials Processing Machines)
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