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Micromachines
Special Issues
Selected Papers from ICMEAS 2017
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Selected Papers from ICMEAS 2017

A special issue of Micromachines (ISSN 2072-666X).

Deadline for manuscript submissions: closed (31 December 2017) | Viewed by 14379

Special Issue Editors

Prof. Dr. Ruxu Du

E-Mail Website
Guest Editor
Department of Mechanical & Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China
Interests: design and manufacturing; precision engineering; automation and robotics
Prof. Dr. Kyle Jiang

E-Mail Website
Guest Editor
Department of Mechanical Engineering, University of Birmingham, Birmingham, UK
Interests: high perfromance turbomachinery; air bearings; rotor dynamics; micro/nano technologies

Special Issue Information

Dear Colleagues,

This Special Issue is a compilation of the top ten papers selected from the papers presented at the 2017 International Conference on Mechanical Engineering and Automation Science (http://www.icmeas.org/), held in Birmingham, 13–15 October, 2017. This Special Issue is aimed at exhibiting the new development in the research of micromachines and/or micro-components of machines. The covered topics include desgin, modeling and simulation, material, prototyping, experiment testing, as well as automatic control. A number of practical examples are included.

Prof. Dr. Ruxu Du
Prof. Dr. Kyle Jiang
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. Micromachines 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 2600 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

  • Micromachine
  • Design
  • Modeling and simulation
  • Automatic control

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Published Papers (3 papers)

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Research

18 pages, 3774 KiB  
Article
Turing Instability-Driven Biofabrication of Branching Tissue Structures: A Dynamic Simulation and Analysis Based on the Reaction–Diffusion Mechanism †
by Xiaolu Zhu and Hao Yang
Micromachines 2018, 9(3), 109; https://doi.org/10.3390/mi9030109 - 2 Mar 2018
Cited by 10 | Viewed by 4696
Abstract
Four-dimensional (4D) biofabrication techniques aim to dynamically produce and control three-dimensional (3D) biological structures that would transform their shapes or functionalities with time, when a stimulus is imposed or cell post-printing self-assembly occurs. The evolution of 3D branching patterns via self-assembly of cells [...] Read more.
Four-dimensional (4D) biofabrication techniques aim to dynamically produce and control three-dimensional (3D) biological structures that would transform their shapes or functionalities with time, when a stimulus is imposed or cell post-printing self-assembly occurs. The evolution of 3D branching patterns via self-assembly of cells is critical for the 4D biofabrication of artificial organs or tissues with branched geometry. However, it is still unclear how the formation and evolution of these branching patterns are biologically encoded. Here, we study the biofabrication of lung branching structures utilizing a simulation model based on Turing instability that raises a dynamic reaction–diffusion (RD) process of the biomolecules and cells. The simulation model incorporates partial differential equations of four variables, describing the tempo-spatial distribution of the variables in 3D over time. The simulation results present the formation and evolution process of 3D branching patterns over time and also interpret both the behaviors of side-branching and tip-splitting as the stalk grows and the fabrication style under an external concentration gradient of morphogen, through 3D visualization. This provides a theoretical framework for rationally guiding the 4D biofabrication of lung airway grafts via cellular self-organization, which would potentially reduce the complexity of future experimental research and number of trials. Full article
(This article belongs to the Special Issue Selected Papers from ICMEAS 2017)
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15 pages, 9262 KiB  
Article
Active Control of a Small-Scale Wind Turbine Blade Containing Magnetorheological Fluid
by Fevzi Cakmak Bolat and Selim Sivrioglu
Micromachines 2018, 9(2), 80; https://doi.org/10.3390/mi9020080 - 14 Feb 2018
Cited by 17 | Viewed by 5138
Abstract
This research study proposes a new active control structure to suppress vibrations of a small-scale wind turbine blade filled with magnetorheological (MR) fluid and actuated by an electromagnet. The aluminum blade structure is manufactured using the SH3055 (Bergey Windpower Co. Inc., Norman, OK, [...] Read more.
This research study proposes a new active control structure to suppress vibrations of a small-scale wind turbine blade filled with magnetorheological (MR) fluid and actuated by an electromagnet. The aluminum blade structure is manufactured using the SH3055 (Bergey Windpower Co. Inc., Norman, OK, USA) code numbered airfoil which is designed for use on small wind turbines. A dynamic interaction model between the MR fluid and the electromagnetic actuator is constructed to obtain a force relation. A detailed characterization study is presented for the proposed actuator to understand the nonlinear behavior of the electromagnetic force. A norm based multi-objective H2/H∞ controller is designed using the model of the elastic blade element. The H2/H∞ controller is experimentally implemented under the impact and steady state aerodynamic load conditions. The results of experiments show that the MR fluid- electromagnetic actuator is effective for suppressing vibrations of the blade structure. Full article
(This article belongs to the Special Issue Selected Papers from ICMEAS 2017)
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14 pages, 3676 KiB  
Article
Strategy for Monitoring Cardiac Interventions with an Intelligent Robotic Ultrasound Device
by Shuangyi Wang, James Housden, Areeb Zar, Ruchi Gandecha, Davinder Singh and Kawal Rhode
Micromachines 2018, 9(2), 65; https://doi.org/10.3390/mi9020065 - 2 Feb 2018
Cited by 6 | Viewed by 4002
Abstract
In recent years, 3D trans-oesophageal echocardiography (TOE) has become widely used for monitoring cardiac interventions. The control of the TOE probe during the procedure is a manual task which is tedious and harmful for the operator when exposed to radiation. To improve this [...] Read more.
In recent years, 3D trans-oesophageal echocardiography (TOE) has become widely used for monitoring cardiac interventions. The control of the TOE probe during the procedure is a manual task which is tedious and harmful for the operator when exposed to radiation. To improve this technique, an add-on robotic system has been developed for holding and manipulating a commercial TOE probe. This paper focuses on the probe adjustment strategy in order to accurately monitor the moving intra-operative catheters. The positioning strategy is divided into an initialization step based on a pre-planning method, and a localized adjustment step based on the robotic differential kinematics. A series of experiments was performed to evaluate the initialization and the localized adjustment steps. The results indicate a mean error less than 10 mm from the phantom experiments for the initialization step, and a median error less than 1.5 mm from the computer-based simulation experiments for the localized adjustment step. Compared to the much bigger image volume, it is concluded that the proposed methods are feasible for this application. Future work will focus on evaluating the method in a more realistic TOE scanning scenario. Full article
(This article belongs to the Special Issue Selected Papers from ICMEAS 2017)
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