Artificial Intelligence in Automation Systems for Aerospace Engineering

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".

Deadline for manuscript submissions: closed (15 November 2023) | Viewed by 1393

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
Interests: manufacturing intelligence; design of energy equipment; evolution of avian flight; spatial mechanisms; robotics; mechanical system dynamics and control; structural mechanism and machines; vehicle system engineering
School of Science, Engineering and Environment, University of Salford, Manchester M5 4WT, UK
Interests: biorobotics and medical robotics; grasping theory and multi-fingered robotic hand; origami-inspired mechanisms and robotics; computational dynamics and screw theory; deployable mechanisms; robotics and structure; metamorphic/reconfigurable mechanisms and robotics; rehabilitation and prosthetics; smart mechanical transmission systems

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Guest Editor
Department of Mechanical Engineering, University College London, London WC1E 7JE, UK
Interests: soft robotics; medical robotics; haptics

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Guest Editor
Mechanical Engineering Department, Federal University of Santa Catarina (UFSC), EMC-CTC, Trindade, 88040-900- Florianopolis SC, Brazil
Interests: robotics; mechanisms; bioengineering; automotive engineering; assistive technology

Special Issue Information

Dear Colleagues,

Automation systems for aerospace engineering have many benefits, including a safer working environment, more flexible manufacturing, increased capacity, and intelligence. However, some obstacles and problems still need to be resolved. It is difficult to perform the necessary assembly, drilling and riveting, surface grinding, and painting of the fuselage and wings in limited and tight spaces. Complex parts require higher accuracy and repeatability. Therefore, the first priority is to develop robotic applications and processes to address these extremely difficult, large-scale manufacturing challenges. All these fit well with the ‘Machines’ scope: applications of automation and artificial intelligence, mechanical engineering, industrial design, mechanical systems, machines and related components, and machine design.

This Special Issue aims to present state-of-the-art developments in automation systems for aerospace engineering, with a focus on creating a successful robotic integration solution that maximizes productivity. These ideas will serve as the cornerstone for discussions on innovations and breakthroughs that can produce fresh, creative approaches to empowering the aerospace and aircraft sector through automation systems. The topics of interest include but are not limited to the following:

  • Robotics;
  • Machine vision;
  • Machine design, analysis, and application;
  • Artificial intelligence;
  • Aerospace automation systems;
  • Aerospace composite manufacturing;
  • Aerospace manufacturing intelligence;
  • Aerospace systems and technology.

Dr. Jingshan Zhao
Dr. Guowu Wei
Prof. Dr. Helge Wurdemann
Prof. Dr. Daniel Martins
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.

Published Papers (1 paper)

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Research

25 pages, 21013 KiB  
Article
Research on Damage Caused by Carbon-Fiber-Reinforced Polymer Robotic Drilling Based on Digital Image Correlation and Industrial Computed Tomography
by Feng Shi, Yi Yang, Nianjun Sun, Zhaocai Du, Chen Zhang and Dongjie Zhao
Machines 2024, 12(1), 22; https://doi.org/10.3390/machines12010022 - 29 Dec 2023
Viewed by 952
Abstract
In order to enhance application scenarios and increase the proportion of industrial robots in the field of drilling composites, the damage caused by carbon-fiber-reinforced polymer robotic drilling is studied. The shortcomings of the existing damage evaluation factors are analyzed, and new damage evaluation [...] Read more.
In order to enhance application scenarios and increase the proportion of industrial robots in the field of drilling composites, the damage caused by carbon-fiber-reinforced polymer robotic drilling is studied. The shortcomings of the existing damage evaluation factors are analyzed, and new damage evaluation factors for carbon-fiber-reinforced polymer laminates made of unidirectional prepreg are proposed. A robot and a brad-and-spur drill were used to drill carbon-fiber-reinforced polymer laminates to study the influence of the process parameters on robotic drilling damage. Digital image correlation equipment and industrial computed tomography were used to study the formation process and the damage forms of the hole on the exit side with different process parameters. The test results show that delamination and tearing are significantly affected by the feed rate and spindle speed, while burrs are less affected by the cutting parameters. Appropriately increasing the spindle speed and reducing the feed rate are beneficial to reducing the comprehensive damage factor and improving the hole quality. To avoid hole scrapping caused by a large amount of damage, it is suggested that the robotic drilling parameters should be controlled at a spindle speed higher than 8000 rpm and a feed rate lower than 360 mm/min. Full article
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