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Applied Sciences
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Intelligent and Bionic Transmission in Machinery
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Intelligent and Bionic Transmission in Machinery

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (20 September 2022) | Viewed by 7366

Special Issue Editor

Prof. Dr. Jing Wei

E-Mail Website
Guest Editor
College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400030, China
Interests: gear transmission system design theory; drivetrain design technology; gear reliability; gear manufacturing; electromechanical transmission; advanced control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

 

This Special Issue is devoted to the application of intelligent and bionic transmission in various research fields. This mainly includes the research fields of bionic transmission, bionic materials, bionic control, intelligent materials and structures, and intelligent control. Bionic transmission is generally understood through the study of biological body structure, imitating the organism or a part of it to construct a mechanical transmission device, where the mechanical transmission device and the organism have similar structure and function. Material bionics considers the production of mechanical materials from the perspective of biological functions, through the study of the material structure and formation process of some organisms to imitate their characteristics in design, in order to produce materials with special strength, toughness, and particular biological characteristics. Bionic control includes bionic control based on behavior, bionic control based on nervous system, bionic control based on genetic algorithm, and bionic control based on swarm, among others. Intelligent materials and structures refer to the integration of a driver, sensor, and micro-processing control system with a parent material. In addition to having the carrying capacity of ordinary materials, intelligent materials can also perceive and process internal and external information, which is a kind of artificial imitation of biological intelligence. Intelligent control is a new technology which can complete preset control tasks of the system autonomously without intervention, representing a shift of the system’s control mode from ordinary automatic control to a more advanced intelligent control. In the future, intelligent and bionic transmission will have a variety of applications in aviation, military, disaster relief, anti-terrorism rescue, biomedical engineering, micro-mechanical systems, agriculture, and other aspects. In the above fields, mainly because of technical problems in production, some structure, function, and regulation mechanisms of organisms are studied and simplified, then the corresponding physical and mathematical models are established, and then numerical simulation analysis is carried out. Finally, the required physical model is prepared for experimental verification.

Prof. Dr. Jing Wei
Guest Editor

Manuscript Submission Information

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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.

Published Papers (4 papers)

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Research

16 pages, 6916 KiB  
Article
Study of Variable Thickness Magnetorheological Transmission Performance of Electrothermal Shape Memory Alloy Squeeze
by Song Chen, Wenjian Chen and Jin Huang
Appl. Sci. 2022, 12(9), 4297; https://doi.org/10.3390/app12094297 - 24 Apr 2022
Cited by 1 | Viewed by 1297
Abstract
This paper designs a new composite transmission device for improving the transmission torque by squeezing magnetorheological fluid (MRF) with an electrothermal shape memory alloy (SMA) spring. Based on the finite element method, a numerical analysis of the magnetic circuit and magnetic field distribution [...] Read more.
This paper designs a new composite transmission device for improving the transmission torque by squeezing magnetorheological fluid (MRF) with an electrothermal shape memory alloy (SMA) spring. Based on the finite element method, a numerical analysis of the magnetic circuit and magnetic field distribution of the magnetorheological (MR) transmission is presented, as well as a theoretical derivation and calculation of the squeezing force output by the electrothermal SMA spring and the transfer torque of the variable thickness MR transmission. In addition, the output characteristics of the electrothermal SMA spring at different temperatures are analyzed, as are the torque characteristics of the variable thickness MR transmission. The research shows that the electrothermal SMA springs exhibit a highly non-linear squeezing force output during the temperature rise, and the increase in current affects the martensite phase transition quality, and thus the phase transition temperature. The squeezing force generated by the springs increases significantly when the temperature is within the martensitic phase transformation interval, with a maximum squeezing force of 318.43 N when the SMA temperature reaches 100 °C. The proposed variable thickness MR transmission can increase the maximum torque by 4.88 times under SMA spring squeezing force, and its maximum transmitted torque is increased from 15.08 to 73.56 N·m. By squeezing the MRF with an electrothermal SMA spring, the torque of the variable thickness MR transmission can be increased quickly and effectively. Full article
(This article belongs to the Special Issue Intelligent and Bionic Transmission in Machinery)
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16 pages, 9522 KiB  
Article
Research on the Transmission Performance of a High-Temperature Magnetorheological Fluid and Shape Memory Alloy Composite
by Wenjian Chen, Jin Huang and Yan Yang
Appl. Sci. 2022, 12(7), 3228; https://doi.org/10.3390/app12073228 - 22 Mar 2022
Cited by 6 | Viewed by 1581
Abstract
To address the fact that the performance of magnetorheological fluid decreases with increasing temperature, a high-temperature magnetorheological fluid and shape memory alloy spring friction composite transmission method is proposed, and its transmission performance is shown to essentially maintain stability under high temperatures. We [...] Read more.
To address the fact that the performance of magnetorheological fluid decreases with increasing temperature, a high-temperature magnetorheological fluid and shape memory alloy spring friction composite transmission method is proposed, and its transmission performance is shown to essentially maintain stability under high temperatures. We introduce a composite transmission method, performed a magnetic field finite element analysis, and present the equation of torque transmission of the composite. The results show that the amount of torque transferred by the magnetorheological fluid reached its maximum value at magnetic saturation, but decreased with increasing temperature, down to 33.41%, whereas the frictional torque generated by the shape memory alloy spring increased with increasing temperature. When the temperature reached 100 °C, the frictional torque effectively compensated for the decrease in the magnetorheological fluid’s performance. Full article
(This article belongs to the Special Issue Intelligent and Bionic Transmission in Machinery)
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18 pages, 4522 KiB  
Article
Multi-Sensor GA-BP Algorithm Based Gearbox Fault Diagnosis
by Yuan Fu, Yu Liu and Yan Yang
Appl. Sci. 2022, 12(6), 3106; https://doi.org/10.3390/app12063106 - 18 Mar 2022
Cited by 14 | Viewed by 1590
Abstract
To address the problem of the low recognition rate of time-frequency domain methods gearbox fault identification, a method featuring decision-level fusion of DS evidence theory and GA-BP algorithm was proposed in the present study. Firstly, the fault data of each state of the [...] Read more.
To address the problem of the low recognition rate of time-frequency domain methods gearbox fault identification, a method featuring decision-level fusion of DS evidence theory and GA-BP algorithm was proposed in the present study. Firstly, the fault data of each state of the gearbox was classified, based on which the time-frequency domain features were extracted and 19 significant features have been selected. Secondly, the accuracy of the traditional BP algorithm was compared with that of the GA-BP algorithm. On this basis, it has been concluded that the GA-BP algorithm is highly accurate, and the local diagnostic results obtained by the GA-BP algorithm have been used as the basic probability. Finally, the DS evidence theory is currently used to fuses with the GA. In addition, the final fault identification of the gearbox can be achieved by using the DS evidence theory and the multi-sensor local diagnosis results obtained by the GA-BP algorithm for decision fusion. The results of the simulations and experiments showed that the method proposed has improved accuracy over a single algorithm for fault identification of gearboxes, respectively. Full article
(This article belongs to the Special Issue Intelligent and Bionic Transmission in Machinery)
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17 pages, 6880 KiB  
Article
Research on the Flow and Transmission Performance of Magnetorheological Fluid between Two Discs
by Jin Huang, Wenjian Chen, Ruizhi Shu and Jing Wei
Appl. Sci. 2022, 12(4), 2252; https://doi.org/10.3390/app12042252 - 21 Feb 2022
Cited by 3 | Viewed by 1615
Abstract
The viscoplastic flow of magnetorheological fluid in a disc was analyzed based on the Navier–Stokes Momentum Equation, and the yielded and unyielded decomposition surfaces were obtained. For the shear-thinning phenomenon of magnetorheological fluid, the magnetorheological properties of the magnetorheological fluid were described based [...] Read more.
The viscoplastic flow of magnetorheological fluid in a disc was analyzed based on the Navier–Stokes Momentum Equation, and the yielded and unyielded decomposition surfaces were obtained. For the shear-thinning phenomenon of magnetorheological fluid, the magnetorheological properties of the magnetorheological fluid were described based on the Herschel–Bulkley model. Then, the relationship between torque, magnetic field, material, size and motion was established, and the magnetic field and working gap were optimized and analyzed. The results show that in the unyielding region, the magnetorheological fluid flows rigidly. In the yielding region, it flows as a viscous fluid. The degree of error of the proposed torque equation decreased gradually with the increase to current, as observed by experimental comparison. Full article
(This article belongs to the Special Issue Intelligent and Bionic Transmission in Machinery)
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