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Advanced Manufacturing and Surface Technology, 2nd Edition
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School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110057, China
College of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, China
Dr. Xudong Sui
State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Science, Lanzhou 730000, China
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Advanced Manufacturing and Surface Technology, 2nd Edition

Abstract submission deadline
20 January 2026
Manuscript submission deadline
20 March 2026
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Topic Information

Dear Colleagues,

We invite submissions related to Advanced manufacturing, a continuation of the successful previous Topic (https://www.mdpi.com/topics/T4O9HU7809).

Advanced manufacturing is a series of general manufacturing technologies that continuously adopt the latest achievements in the fields of mechanics, electronics, information, and materials in the manufacturing industry and apply them to the whole process of product design, manufacturing, and operation to produce products with high quality, high efficiency, and low consumption, which are clean and capable of flexible production and obtain the best technical and economic benefits. Advanced manufacturing includes additive manufacturing, special machining, precision and ultra-precision cutting, etc.

Surface technology, as a marginal, cross-cutting, comprehensive, and composite discipline that involves the fields of materials science, chemistry, physics, tribology, microelectronics, information science, nanotechnology, biomedicine, and other disciplines, is one of the important frontiers of modern high-tech fields and advanced manufacturing. In recent years, research into surface technology has achieved good results, and it is developing towards automation and intelligence.

This topic aims to integrate and present the latest advances to inspire and inform relevant researchers in the field of advanced manufacturing and surface technology and to promote the application of surface technology. The topics of interest for this Special Issue include (but are not restricted to):

  • Additive manufacturing, including arc additive manufacturing, laser additive manufacturing, electron beam additive manufacturing, plasma additive manufacturing, and others.
  • Specialty processing including EDM, laser, electron beam, ion beam, electromachining, ultrasonic, CNC, and others.
  • Extreme manufacturing, including micro/nano-manufacturing, materials and devices with extreme functionalities, surface technology in extreme environments, etc.
  • Precision and ultra-precision machining, including precision cutting, grinding processes, polishing, and microfabrication.
  • Surface functionalization, including spraying, plating, heat treatment, physical/chemical vapor deposition, femtosecond laser processing, nano-etching, and promising methods and processes for surface functionalization.
  • Biomanufacturing includes bionic manufacturing, additive manufacturing, biomaterials and devices, etc.
  • Laser manufacturing includes laser welding, cladding, hardening, remelting, laser cutting, etc.
  • Corrosion and protection.
  • Frictional wear and lubrication.
  • Any other aspects of advanced manufacturing and surface technology.

Dr. Dingding Xiang
Dr. Kaiming Wang
Dr. Xudong Sui
Topic Editors

Keywords

  • additive manufacturing
  • precision and ultra-precision machining
  • laser manufacturing
  • surface functionalization
  • frictional wear and lubrication
  • corrosion and protection

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Coatings
coatings 		2.9 5.4 2011 14.5 Days CHF 2600 Submit
Journal of Manufacturing and Materials Processing
jmmp 		3.3 5.2 2017 16.5 Days CHF 1800 Submit
Lubricants
lubricants 		3.1 4.5 2013 14.6 Days CHF 2600 Submit
Machines
machines 		2.1 4.7 2013 15.5 Days CHF 2400 Submit
Materials
materials 		3.1 6.4 2008 13.9 Days CHF 2600 Submit

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Published Papers (2 papers)

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21 pages, 8909 KiB  
Article
A Methodology for Acceleration Signals Segmentation During Forming Regular Reliefs Patterns on Planar Surfaces by Ball Burnishing Operation
by Stoyan Dimitrov Slavov and Georgi Venelinov Valchev
J. Manuf. Mater. Process. 2025, 9(6), 181; https://doi.org/10.3390/jmmp9060181 - 29 May 2025
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Abstract
In the present study, an approach for determining the different states of ball burnishing (BB) operations aimed at forming regular reliefs’ patterns on planar surfaces is introduced. The methodology involves acquiring multi-axis accelerometer data from CNC-driven milling machine to capture the dynamics of [...] Read more.
In the present study, an approach for determining the different states of ball burnishing (BB) operations aimed at forming regular reliefs’ patterns on planar surfaces is introduced. The methodology involves acquiring multi-axis accelerometer data from CNC-driven milling machine to capture the dynamics of the BB tool and workpiece, mounted on the machine table. Following data acquisition from an AISI 304 stainless steel workpiece, which is subjected to BB treatments at different toolpaths and feed rates, the recorded signals are preprocessed through noise reduction techniques, DC component removal, and outlier correction. The refined data are then transformed using a root mean square (RMS) operation to simplify further analysis. A Gaussian Mixture Model (GMM) is subsequently employed to decompose the compressed RMS signal into distinct components corresponding to various operational states during BB. The experimental trials at feed rates of 500 and 1000 mm/min reveal that increased feed rates enhance the distinguishability of these states, thus leading to an augmented number of statistically significant components. The results obtained from the proposed GMM based algorithm applied on compressed RMS accelerations signals is compared with two other methods, i.e., Short-Time Fourier Transforms and Continuous Wavelet Transform. The results from the comparison show that the proposed GMM method has the advantage of segmenting three to five different states of the BB-process from nonstationary accelerations signals measured, while the other tested methods are capable only to distinguish the state of work of the deforming tool and state of its rapid (re-)positioning between the areas of working, when there is no contact between the BB-tool and workpiece. Full article
(This article belongs to the Topic Advanced Manufacturing and Surface Technology, 2nd Edition)
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15 pages, 4008 KiB  
Article
Optimization of Process Parameters in Electropolishing of SS 316L Utilizing Taguchi Robust Design
by Muhammad Kemal Syahputra, Kartika Nur ‘Anisa’, Rizky Astari Rahmania, Farazila Yusof, Pradeep Dixit, Muslim Mahardika and Gunawan Setia Prihandana
J. Manuf. Mater. Process. 2025, 9(4), 127; https://doi.org/10.3390/jmmp9040127 - 11 Apr 2025
Viewed by 521
Abstract
In electropolishing, the material removal rate is frequently neglected, as this process is primarily focused on surface finish, and yet, it is crucial for manufacturing metallic sheets. Solutions are required to enhance the material removal rate while maintaining surface quality. This work introduces [...] Read more.
In electropolishing, the material removal rate is frequently neglected, as this process is primarily focused on surface finish, and yet, it is crucial for manufacturing metallic sheets. Solutions are required to enhance the material removal rate while maintaining surface quality. This work introduces an electropolishing technique that involves suspending ethanol in an electrolyte solution and employing a magnetic field during machining processes. The Taguchi approach is utilized to determine the ideal process parameters for enhancing the material removal rate of SS 316L electropolishing through a L9 orthogonal array. Pareto analysis of variance (ANOVA) is utilized to examine the four parameters of the machining process: applied voltage, ethanol concentration, machining gap variation, and the magnetic field of the electrolyte. The results demonstrate that the applied voltage, the incorporation of ethanol in electropolishing, and a reduced machining gap significantly increase the material removal rate; however, the introduction of a magnetic field did not notably increase the material removal rate. Full article
(This article belongs to the Topic Advanced Manufacturing and Surface Technology, 2nd Edition)
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