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Machines
Special Issues
Robotization of Machining Processes: Theory and Industrial Applications
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Robotization of Machining Processes: Theory and Industrial Applications

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machine Design and Theory".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 13707

Special Issue Editors

Prof. Dr. Edouard Rivière-Lorphèvre

E-Mail Website
Guest Editor
Machine Design and Production Engineering Lab, University of Mons, Place du Parc 20, B-7000 Mons, Belgium
Interests: robotic machining; stability of machining operations; cutting force modeling and measurement; model identification; additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Dr. Piotr Gierlak

E-Mail Website
Guest Editor
Department of Applied Mechanics and Robotics, Rzeszów University of Technology, 35-959 Rzeszów, Poland
Interests: mechanical systems modelling; non-linear robot control; adaptive and robust control; hybrid position/force control; fuzzy logic; artificial neural networks; underactuated systems; stability of control systems; vibration measurement; vibration analysis; vibrodiagnostics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The robotization of mechanical machining processes is an area of robot application that has been developed for many years. The use of robots mainly concerns processes that require high maneuverability and the control of interaction forces during machining. Although there are robot control strategies and algorithms dedicated to mechanical processing, many processes require a non-standard approach, e.g., in the aerospace industry. At the same time, there are many theoretical solutions for the robotization of machining that unfortunately require very strict conditions.

The purpose of this Special Issue is to present the latest developments in robotic machining that have both theoretical background and utilitarian value confirmed by real applications or even preliminary laboratory tests. New ideas on all aspects of robotic machining, such as modeling, control, vibration reduction, soft computing, process monitoring, or economic aspects, are welcome.

You may choose our Joint Special Issue in Robotics.

Prof. Dr. Edouard Rivière-Lorphèvre
Prof. Dr. Piotr Gierlak
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.

Keywords

  • robotization of machining
  • modeling of robot–workpiece systems
  • robot control strategies
  • process modeling and monitoring
  • vibration prevention
  • machining quality control
  • sensors and data acquisition
  • special tools
  • artificial intelligence applications
  • economic issues of process robotization

Published Papers (3 papers)

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Research

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19 pages, 4126 KiB  
Article
Data Analysis for Trajectory Generation for a Robot Manipulator Using Data from a 2D Industrial Laser
by Diogo Gomes, Mariano Alvarez, Laiany Brancalião, Jorge Carneiro, Gil Gonçalves, Paulo Costa, José Gonçalves and Vítor H. Pinto
Machines 2022, 10(10), 907; https://doi.org/10.3390/machines10100907 - 8 Oct 2022
Cited by 2 | Viewed by 1418
Abstract
Nowadays, the automation of factory floors is necessary for extensive manufacturing processes to meet the ever-increasing competitiveness of current markets. The technological advances applied to the digital platforms have led many businesses to automate their manufacturing processes, introducing robotic manipulators collaborating with human [...] Read more.
Nowadays, the automation of factory floors is necessary for extensive manufacturing processes to meet the ever-increasing competitiveness of current markets. The technological advances applied to the digital platforms have led many businesses to automate their manufacturing processes, introducing robotic manipulators collaborating with human operators to achieve new productivity, manufacturing quality, and safety levels. However, regardless of the amount of optimization implemented, some quality problems may be introduced in production lines with many products being designed and produced. This project proposes a solution for feature extraction that can be applied to automatic shape- and position-detection using a 2-dimension (2D) industrial laser to extract 3-dimension (3D) data where the movement of the item adds the third dimension through the laser’s beam. The main goal is data acquisition and analysis. This analysis will later lead to the generation of trajectories for a robotic manipulator. The results of this application proved reliable given their small measurement error values of a maximum of 2 mm. Full article
(This article belongs to the Special Issue Robotization of Machining Processes: Theory and Industrial Applications)
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29 pages, 6938 KiB  
Article
Conceptual Design of a High-Speed Wire EDM Robotic End-Effector Based on a Systematic Review Followed by TRIZ
by Sergio Tadeu Almeida, John Mo, Cees Bil, Songlin Ding and Xiangzhi Wang
Machines 2021, 9(7), 132; https://doi.org/10.3390/machines9070132 - 7 Jul 2021
Cited by 10 | Viewed by 5353
Abstract
Exotic materials such as titanium offer superior characteristics that, paradoxically, make them hard-to-cut by conventional machining. As a solution, electric discharge machining (EDM) stands out as a non-conventional process able to cut complex profiles from hard-to-cut materials, delivering dimensional accuracy and a superior [...] Read more.
Exotic materials such as titanium offer superior characteristics that, paradoxically, make them hard-to-cut by conventional machining. As a solution, electric discharge machining (EDM) stands out as a non-conventional process able to cut complex profiles from hard-to-cut materials, delivering dimensional accuracy and a superior surface. However, EDM is embodied in CNC machines with a reduced axis and machining envelope, which constrains design freedom in terms of size and shape. To overcome these CNC constraints, traditional machining using six-axis industrial robots have become a prominent research field, and some applications have achieved cost efficiency, an improved envelope, and high flexibility. However, due to the lack of stiffness and strength of the robot arm, accuracy, material rate removal, and surface finishing are not comparable to CNC machining. Therefore, the present study investigates the design of a novel WEDM combined with six-axis robotic machining to overcome the limitations of traditional robotic machining and enhance EDM applications. This study extends the work of a conference paper to confirm potential outcomes, quantifying and ranking undesired interactions to map technical problems and applying the TRIZ approach to trigger solutions. Finally, an effective robotic end-effector design is proposed to free EDM from CNC and deliver robotic machining as a flexible and accurate machining system for exotic materials. Full article
(This article belongs to the Special Issue Robotization of Machining Processes: Theory and Industrial Applications)
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Review

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19 pages, 2603 KiB  
Review
A Review of End-Effector Research Based on Compliance Control
by Ye Dai, Chaofang Xiang, Wenyin Qu and Qihao Zhang
Machines 2022, 10(2), 100; https://doi.org/10.3390/machines10020100 - 28 Jan 2022
Cited by 10 | Viewed by 5955
Abstract
The end-effector is a key device for direct contact and operation between the operator and the workpiece, and its mechanical structure will directly affect the quality of the machine and expand its application. The theoretical research and technical implementation of the end-effector for [...] Read more.
The end-effector is a key device for direct contact and operation between the operator and the workpiece, and its mechanical structure will directly affect the quality of the machine and expand its application. The theoretical research and technical implementation of the end-effector for compliance control are facing a lot of urgent challenges to be solved, therefore, the research results of active compliance control of robot end-effectors have a very broad application prospect. This paper describes the design and research results of different end-effectors under impedance-based control, hybrid force/position control, and intelligent flexible control methods, respectively. Under each control method, the structural characteristics and the optimized control scheme under different drives are introduced. Finally, key techniques for achieving compliance control are derived by summarizing, which broadens the engineering applications and provides methods and ideas for future research. Full article
(This article belongs to the Special Issue Robotization of Machining Processes: Theory and Industrial Applications)
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