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Machines
Special Issues
Design and Application of Advanced Manufacturing Systems
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Design and Application of Advanced Manufacturing Systems

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".

Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 4703

Special Issue Editor

Prof. Dr. Sever-Gabriel Racz

E-Mail Website
Guest Editor
Industrial Machines and Equipment Department, Faculty of Engineering, Lucian Blaga University of Sibiu, Sibiu, Romania
Interests: robotics; mechatronics; metal forming; hydraulic and pneumatic driving systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will focus on new applications and implementations of advanced manufacturing systems, particularly targeting energy efficiency and manufacturing accuracy. Machining operations (cutting, forming, deburring) using industrial robots and how to improve the machining accuracy of the robotic system will be considered as topics of interest. The design of working units (cutting heads or similar) or auxiliary devices designed to increase the number of degrees of freedom for robotic systems (such as rotary tables) will also be included as topics for this Special Issue. Another group of topics will deal with multi-axis machining operations on CNC machine tools. Studies on the machining accuracy and energy efficiency of these operations will be considered. Another area of interest will address hybrid machining, involving both additive and subtractive manufacturing operations. Studies on the design of machining units for hybrid machine tools will also be expected within this theme.

Prof. Dr. Sever-Gabriel Racz
Guest Editor

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

  • robot machining
  • multi-axis machining
  • hybrid machine tools
  • machining accuracy
  • energy efficiency

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

15 pages, 8557 KiB  
Article
Machine Vision-Based Surface Defect Detection Study for Ceramic 3D Printing
by Jing Zhou, Haili Li, Lin Lu and Ying Cheng
Machines 2024, 12(3), 166; https://doi.org/10.3390/machines12030166 - 28 Feb 2024
Cited by 3 | Viewed by 1888
Abstract
A set of online inspection systems for surface defects based on machine vision was designed in response to the issue that extrusion molding ceramic 3D printing is prone to pits, bubbles, bulges, and other defects during the printing process that affect the mechanical [...] Read more.
A set of online inspection systems for surface defects based on machine vision was designed in response to the issue that extrusion molding ceramic 3D printing is prone to pits, bubbles, bulges, and other defects during the printing process that affect the mechanical properties of the printed products. The inspection system automatically identifies and locates defects in the printing process by inspecting the upper surface of the printing blank, and then feeds back to the control system to produce a layer of adjustment or stop the printing. Due to the conflict between the position of the camera and the extrusion head of the printer, the camera is placed at an angle, and the method of identifying the points and fitting the function to the data was used to correct the camera for aberrations. The region to be detected is extracted using the Otsu method (OSTU) on the acquired image, and the defects are detected using methods such as the Canny algorithm and Fast Fourier Transform, and the three defects are distinguished using the double threshold method. The experimental results show that the new aberration correction method can effectively minimize the effect of near-large selection caused by the tilted placement of the camera, and the accuracy of this system in detecting surface defects reached more than 97.2%, with a detection accuracy of 0.051 mm, which can meet the detection requirements. Using the weighting function to distinguish between its features and defects, and using the confusion matrix with the recall rate and precision as the evaluation indexes of this system, the results show that the detection system has accurate detection capability for the defects that occur during the printing process. Full article
(This article belongs to the Special Issue Design and Application of Advanced Manufacturing Systems)
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17 pages, 4638 KiB  
Article
Rotation-Angle Solution and Singularity Handling of Five-Axis Machine Tools for Dual NURBS Interpolation
by Pengpeng Sun, Qiang Liu, Jian Wang, Zhenshuo Yin and Liuquan Wang
Machines 2023, 11(2), 281; https://doi.org/10.3390/machines11020281 - 13 Feb 2023
Cited by 1 | Viewed by 2249
Abstract
Dual NURBS interpolation has been proven an essential technique for high-speed precision machining of complex surfaces. The solution of rotation angles and their derivatives is the basis of kinematic transformation and feedrate optimization in dual NURBS interpolation. The characteristics of the rotation motion [...] Read more.
Dual NURBS interpolation has been proven an essential technique for high-speed precision machining of complex surfaces. The solution of rotation angles and their derivatives is the basis of kinematic transformation and feedrate optimization in dual NURBS interpolation. The characteristics of the rotation motion of five-axis machine tools with different structures are analyzed. A generic model of dual heads of the vertical five-axis machine tool is established to unify the solution of rotation angles. Then, a generic method for solving the rotation angles and derivatives based on the vector inner product is proposed, and the solution space is analyzed. A singularity handling is given to avoid abrupt rotation angles based on the higher derivatives of the tool orientation vector. The proposed method obtained smooth rotation angles at the singularity points in the cardioid dual NURBS interpolation experiment. It reduced the machining time by 43.3% compared with the simple inverse trigonometric method based on kinematic transformation. Experiment results demonstrate that the proposed method is feasible and effective, and has significant theoretical and practical value for optimizing five-axis CNC machining. Full article
(This article belongs to the Special Issue Design and Application of Advanced Manufacturing Systems)
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