Intelligent Sensing, Monitoring, and Optimization of Advanced Manufacturing Systems

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

Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 1957

Special Issue Editor

State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China
Interests: piezoelectric robot; piezoelectric ink-jet; piezoelectric fluid controlling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are now open for submissions to “Intelligent Sensing, Monitoring, and Optimization of Advanced Manufacturing Systems”, a Special Issue of Applied Sciences.

With the evolution of the modern society, many advanced manufacturing systems have been put forward; for example, flexible manufacturing systems (FMSs), reconfigurable manufacturing systems, computer-integrated manufacturing and so on. At the same time, there is growing sophistication in manufacturing processes and an increase in technical risks. The monitoring, optimization and sensing required for the manufacturing process plays a crucial role in ensuring agility in the manufacturing system, process robustness, efficiency improvement and price reduction. Unlike the monitoring, sensing, and optimization technologies that match traditional manufacturing systems, the rapid development of information systems, computer technology and new material, etc.,l would drive the revolution of the above intelligent assistive technologies to accommodate the requirements of advanced manufacturing systems.

For this Special Issue, we invite submissions exploring cutting-edge research and recent advances in the fields of intelligent sensing, monitoring and the optimization of advanced manufacturing systems. Both theoretical and experimental studies are welcome, as well as comprehensive review and survey papers.

Dr. Kai 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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • advanced manufacturing systems
  • computer-integrated manufacturing
  • intelligent monitoring
  • monitoring and diagnostics
  • optimization problems
  • optimization and control
  • process planning
  • modeling and simulation
  • sensing
  • sensors

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 7875 KiB  
Article
Design of an Affordable Cross-Platform Monitoring Application Based on a Website Creation Tool and Its Implementation on a CNC Lathe Machine
by Muhamad Aditya Royandi and Jui-Pin Hung
Appl. Sci. 2022, 12(18), 9259; https://0-doi-org.brum.beds.ac.uk/10.3390/app12189259 - 15 Sep 2022
Viewed by 1527
Abstract
Currently, monitoring applications are being designed to provide comprehensive, flexible access. Monitoring applications are also required to function on several platforms (e.g., desktops and mobile phones). However, designers often have difficulty meeting these needs, owing to a lack of expertise in various fields. [...] Read more.
Currently, monitoring applications are being designed to provide comprehensive, flexible access. Monitoring applications are also required to function on several platforms (e.g., desktops and mobile phones). However, designers often have difficulty meeting these needs, owing to a lack of expertise in various fields. Here, we aim to convey a simple concept to achieve this goal. Visualization data on the system can be displayed and updated online using Google Sites, which can be accessed on several platforms. The data were displayed using dynamic image HTML embedded code. They were generated from the URL of an image stored in Google Drive. The image was taken from the monitoring system user interface created with the Windows Forms app and periodically uploaded to Google Drive. Therefore, using this concept, a cross-platform monitoring application (CPMA) can be created in a short time without complicated database processing or subscriptions to paid applications. Additionally, a messaging feature from the user platform was developed to enable messaging features between an operator at the machining site and another user/manager of the CPMA. This concept was applied to revisualize the collected data from the data acquisition system and the results of the predicted parameters from the main user interface through image uploadbased data visualization and to monitor two CNC lathe machines (with different sensors attached) at different locations. Full article
Show Figures

Figure 1

Back to TopTop