Smart Precision Manufacturing and Metrology

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E:Engineering and Technology".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 1233

Special Issue Editors


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Guest Editor
State Key Laboratory of Ultra-Precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
Interests: precision engineering; ultra-precision machining technology; precision metrology
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Guest Editor
School of Data Science, City University of Hong Kong, Kowloon Tong, Hong Kong, China
Interests: intelligent metrology; smart manufacturing; applied machine learning; imaging data science

Special Issue Information

Dear Colleagues,

The rapid growth in the demand for advanced products and high precision components for various industries (e.g., photonics, biomedical, semiconductor, advanced optics, aerospace, etc.) have imposed a lot of stringent requirements for their precision manufacturing and measurement in terms of higher accuracy, better surface finish, high geometrical complexity, and construction with difficult-to-machine and new materials, so as to meet the functional requirements of the products and surfaces. Smart precision manufacturing and measurement approaches based on artificial intelligence and advanced sensing technologies are emerging which attempts to achieve self-adaptive adjustment of the machining parameters and cutting conditions for active compensation of the uncertainty and errors generated during precision manufacturing. Moreover, there is a growing demand for the flexible deployment of precision manufacturing and measurement systems in the context of Industry 4.0, which has created great demand for in situ and/or in-process measurement in manufacturing environments when trying to maintain the position of the workpiece for further compensation processes to be run in order to improve the accuracy and efficiency of the precision manufacturing of complex 3D surfaces. This Special Issue focuses on, but is not limited to, the following key topics:

  • Smart precision manufacturing processes;
  • Artificial intelligence in precision metrology;
  • Self-optimization;
  • Intelligent instrumentation;
  • Smart machines and toolings;
  • In situ/on-machine/in-process measurement;
  • Digital twin;
  • Industrial Internet-of-things (IIoT);
  • Machine learning based surface measurement and characterization;
  • Advanced sensing technologies;
  • Real-time/on-line process monitoring;
  • Multi-sensor and data fusion methods.

Prof. Dr. Benny C. F. Cheung
Dr. Jizhou Li
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

  • smart precision manufacturing
  • smart precision metrology
  • artificial intelligence
  • machine learning
  • advanced sensing
  • self-optimization
  • intelligent measurement and instrumentation

Published Papers (1 paper)

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Research

20 pages, 5864 KiB  
Article
Simulation and Experimental Study of a Novel Negative-Pressure Flapper–Nozzle Mechanism
by Aixiang Ma, Heruizhi Xiao, Xihao Yan, Xianghao Kong, Feng Rong, Lu Zhang and Sihai Zhao
Micromachines 2024, 15(1), 55; https://doi.org/10.3390/mi15010055 - 26 Dec 2023
Viewed by 1002
Abstract
As the manufacturing industry evolves, the significance of control valve positioners in chemical production escalates. The flapper–nozzle system, the heart of control valve positioners, directly influences the linearity of system control. Presently, studies on the flapper–nozzle system primarily focus on dynamic system modeling [...] Read more.
As the manufacturing industry evolves, the significance of control valve positioners in chemical production escalates. The flapper–nozzle system, the heart of control valve positioners, directly influences the linearity of system control. Presently, studies on the flapper–nozzle system primarily focus on dynamic system modeling and computational fluid dynamics simulations. However, traditional flapper–nozzle mechanisms often fail to achieve linear control objectives. This paper proposes a novel negative-pressure nozzle structure to tackle this issue, combining computational fluid dynamics and experimental methods, and considering gas compressibility during high-speed flow. Both simulation and experimental results suggest that the new structure improves the supply air pressure and broadens the linear pressure output range of the system, showing significant potential for practical applications. Full article
(This article belongs to the Special Issue Smart Precision Manufacturing and Metrology)
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