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Machines
Special Issues
Dynamics and Vibrations in Machines
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Dynamics and Vibrations in Machines

A special issue of Machines (ISSN 2075-1702).

Deadline for manuscript submissions: closed (31 August 2016) | Viewed by 14241

Special Issue Editors

Prof. Dr. Francesco Pellicano

E-Mail Website1 Website2
Guest Editor
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, 41125 Modena, Italy
Interests: nonlinear dynamics; vibrations; stability; shells; mechanical transmissions; gears; fluid structure interaction
Special Issues, Collections and Topics in MDPI journals
Dr. Marco Barbieri

E-Mail Website
Co-Guest Editor
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, 41125 Modena, Italy
Interests: nonlinear dynamics; vibrations; gears; lubrication; skin tribology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Konstantin V. Avramov

E-Mail Website
Co-Guest Editor
Anatolii Pidhornyi Institute of Mechanical Engineering Problems of the National Academy of Sciences of Ukraine, 02000 Kharkiv, Ukraine
Interests: methods of calculation and study of stress-strain state, including in the presence of defects of various origins; scientifically substantiated methods of assessment of technical condition and residual life of structures of long operation; mechanics of interaction of deformed solids, liquids and gases; dynamics of spacecraft launch vehicles; dynamics of vibration protection systems of rocket and space technology objects and ground vehicles
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Machines are generally complex systems where different kinds of components are characterized by extremely variable physics: Rigid (or almost rigid) bodies, their contacts and constraints as part of linkages; compressible or incompressible fluids (e.g., in tubes, pumps, etc.); flexible bodies (e.g., structures); fluid structural interactions (e.g., clusters of tube in heat exchangers); mechatronic systems and their digital controllers.

Therefore, the goal of this Special Issue is to publish original contributions regarding theoretical, numerical and experimental methods for investigating the dynamics and vibration of machines. Analytical methodologies for local or global analyses of static and dynamic stability are welcome, in particular, when the theories give simple and clear interpretation of machine dynamics. We accept papers presenting new numerical approaches for modeling complex machines including: Multi-impacts, unconventional damping, large deformations, hyperelasticity, and breathing cracks. At the same time, papers considering traditional numerical methods applied to the analysis of new dynamic phenomena are encouraged.

Experimental studies are greatly appreciated as long as they support theoretical or numerical techniques for validation purposes; in addition, fully experimental works are welcome when, for example, they furnish data for benchmarking purposes or disclose new/unexpected dynamic phenomena.

Prof. Dr. Francesco Pellicano
Guest Editor

Dr. Marco Barbieri
Prof. Dr. Konstantin V. Avramov
Co-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. Machines is an international peer-reviewed open access monthly 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 2400 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

  • Machines
  • Vibration
  • Dynamics
  • Mechatronics
  • Multibody dynamics
  • Control

Published Papers (2 papers)

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6473 KiB  
Article
Vibration Isolation and Trajectory Following Control of a Cable Suspended Stewart Platform
by Xuechao Duan, Jianwei Mi and Ze Zhao
Machines 2016, 4(4), 20; https://doi.org/10.3390/machines4040020 - 25 Oct 2016
Cited by 7 | Viewed by 8003
Abstract
To achieve high-quality vibration isolation and trajectory following control of a cable driven parallel robot based Stewart platform in the five hundred meter aperture spherical radio telescope (FAST) design, the integrated dynamic model of the Stewart platform including the electric cylinder is established [...] Read more.
To achieve high-quality vibration isolation and trajectory following control of a cable driven parallel robot based Stewart platform in the five hundred meter aperture spherical radio telescope (FAST) design, the integrated dynamic model of the Stewart platform including the electric cylinder is established in this paper, the globally feedback linearization of the dynamic model is implemented based on the control law partitioning approach. To overcome the disadvantages of the external disturbance on the base and unmodeled flexibility of the mechanism, a PID (Proportional-Derivative-Integral) controller with base acceleration feedforward is designed in the operational space of the Stewart platform. Experiments of the vibration isolation and trajectory following control of the cable suspended Stewart platform with presence of the base disturbance is carried out. The experimental results show that the presented control scheme has the advantage of stable dynamics, high accuracy and strong robustness. Full article
(This article belongs to the Special Issue Dynamics and Vibrations in Machines)
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2802 KiB  
Article
Rotor Unbalance Estimation with Reduced Number of Sensors
by Sami M. Ibn Shamsah and Jyoti K. Sinha
Machines 2016, 4(4), 19; https://doi.org/10.3390/machines4040019 - 25 Oct 2016
Cited by 11 | Viewed by 5301
Abstract
The most common cause of the excessive vibration in rotating machines is the rotor mass unbalance. If a machine vibration due to mass unbalance exceeds the alarm limits, then it may lead to machine failure. Therefore, rotating machines should be regularly checked to [...] Read more.
The most common cause of the excessive vibration in rotating machines is the rotor mass unbalance. If a machine vibration due to mass unbalance exceeds the alarm limits, then it may lead to machine failure. Therefore, rotating machines should be regularly checked to ensure that they are properly balanced. Currently, industries use the influence coefficient (IC) balancing technique for in situ machine balancing. The accepted practice is to use the vibration measurements in both vertical and horizontal directions at the machine-bearing pedestals together with the tachometer signal to estimate the machine rotor unbalance (both mass and phase angle). It is generally believed that the use of the machine vibration measurements in the vertical and horizontal directions represents better machine dynamics, and hence the estimated unbalance is likely to be more accurate. However, this paper applies the same concept of the IC method but with a reduced number of vibration sensors (one sensor per bearing pedestal at 45° instead of two sensors at the vertical and horizontal directions). The use of one sensor per bearing pedestal at 45° from both vertical and horizontal directions is likely to have responses from both directions. The reduction in the number of sensors by half will definitely save the instruments and their maintenance cost and reduce the computational effort in the signal processing significantly. The proposed concept is applied on a small-size laboratory rig with two balancing planes. The paper presents the unbalance estimations by using the measured vibration responses in both the vertical and horizontal directions simultaneously and using vibration responses measured at 45°. Full article
(This article belongs to the Special Issue Dynamics and Vibrations in Machines)
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