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Micromachines
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Advanced Manufacturing Technology and Systems, 4th Edition
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Advanced Manufacturing Technology and Systems, 4th Edition

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "D：Materials and Processing".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 5280

Special Issue Editors

Dr. Guochao Li

E-Mail Website
Guest Editor
School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
Interests: cutting tool CAD/CAM/CAE; manufacturing process monitoring; in situ measurement
Special Issues, Collections and Topics in MDPI journals
Dr. Zhaoju Zhu

E-Mail Website
Guest Editor
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
Interests: high-performance manufacturing; biomedical design and manufacturing; process condition monitoring
Special Issues, Collections and Topics in MDPI journals
Dr. Youqiang Xing

E-Mail Website
Guest Editor
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
Interests: tool coatings; green machining; additive manufacturing; micro/nano machining
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advanced manufacturing technology and systems (AMTS) combine principles of mechanical engineering with design innovation to create products and processes that are better, faster and more precise. The core of AMTS is the design, fabrication, and application of original and effective solutions related to manufacturing machines, process integration and systems to keep up with the dynamic needs of today's ever-evolving industries. In this Special Issue, we seek papers in advanced manufacturing technology and systems that cover a broad scope involving manufacturing processes, machine tool design, system optimization, smart and flexible manufacturing, theoretical study and metrology. In addition, multidisciplinary (physical, chemical, micro/nano and biomedicine) manufacturing technologies and systems are welcome, including micro-/nanofabrication, nanomaterial processes, biomedical fabrication, intelligent control, energy conversion, etc. All papers, such as original research papers and review articles, are welcome.

Dr. Guochao Li
Dr. Zhaoju Zhu
Dr. Youqiang Xing
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 250 words) can be sent to the Editorial Office for assessment.

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. Micromachines 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 2100 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

  • additive manufacturing
  • machining and forming technology
  • micro- and nanofabrication
  • smart manufacturing
  • non-traditional manufacturing processes
  • energy-efficient manufacturing
  • computer-integrated manufacturing systems
  • process monitoring
  • AI for manufacturing
  • system optimization
  • system reliability analysis

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Related Special Issue

Published Papers (6 papers)

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Research

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16 pages, 3791 KB  
Article
Response Surface Modeling and Parameter Optimization of Microgroove Depth in Water-Jet-Guided Laser Machining of L605 Alloy
by Shimin Yang, Yugang Zhao, Qilong Fan, Li Guo, Zhi Qi, Kai Xing and Yusheng Zhang
Micromachines 2026, 17(5), 550; https://doi.org/10.3390/mi17050550 - 29 Apr 2026
Viewed by 186
Abstract
L605 cobalt-based superalloy is a typical difficult-to-machine material because of its high strength, pronounced work hardening, and low thermal conductivity. To improve the microgroove machining performance of this alloy, a self-developed water-jet-guided laser (WJGL) system equipped with a multi-focus lens was employed, and [...] Read more.
L605 cobalt-based superalloy is a typical difficult-to-machine material because of its high strength, pronounced work hardening, and low thermal conductivity. To improve the microgroove machining performance of this alloy, a self-developed water-jet-guided laser (WJGL) system equipped with a multi-focus lens was employed, and single-factor experiments together with a Box–Behnken response surface design were conducted to investigate the effects of laser power, pulse frequency, water pressure, and feed speed on microgroove depth. The results showed that microgroove depth increased with laser power, decreased with pulse frequency and feed speed, and first increased and then decreased with water pressure. Analysis of variance demonstrated that the developed quadratic regression model was significant and fit the data well. A recommended parameter combination of 274.9 W laser power, 3334.9 Hz pulse frequency, 1.636 MPa water pressure, and 0.107 mm/s feed speed corresponded to a predicted microgroove depth of 621.2 μm. Validation experiments yielded an average microgroove depth of 600.2 μm, with a relative error of 3.4%, indicating that the model can be used for microgroove depth prediction and parameter selection in WJGL machining of L605 alloy and may provide guidance for future multi-objective optimization considering both machining quality and efficiency. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technology and Systems, 4th Edition)
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20 pages, 12323 KB  
Article
Evaluation of Tool Wear Characteristics and Machining Performance During Longitudinal–Torsional Ultrasonic Vibration Drilling of Al/Ti Stacks
by Zhaoju Zhu, Shiying Geng, Wenrong Zhu, Guang Ouyang and Yiping Huang
Micromachines 2026, 17(2), 227; https://doi.org/10.3390/mi17020227 - 10 Feb 2026
Viewed by 789
Abstract
Al/Ti stacks are widely used in aerospace manufacturing due to their heterogeneous and multi-property material characteristics. However, during integrated hole-making processes, the significant differences in material properties often induce abrupt variations in cutting force, leading to uneven loading along the cutting edge and [...] Read more.
Al/Ti stacks are widely used in aerospace manufacturing due to their heterogeneous and multi-property material characteristics. However, during integrated hole-making processes, the significant differences in material properties often induce abrupt variations in cutting force, leading to uneven loading along the cutting edge and non-uniform tool wear. These issues complicate the drilling process and severely hinder the advancement of manufacturing and assembly technologies for aerospace components. To address these issues, longitudinal–torsional ultrasonic vibration drilling (LTUVD) is implemented in drilling of Al/Ti stacks, which superimposes high-frequency axial and tangential vibrations onto conventional drilling, enabling a spatial elliptical cutting trajectory and periodic material separation. A spatial kinematic model of LTUVD is developed to analyze the effects of key parameters on the tool motion trajectory and chip variations. Drilling experiments are conducted on Al/Ti stacks at a defined cutting condition (30 m/min, 0.1 mm/rev) to compare the performance of conventional drilling (CD), ultrasonic vibration-assisted drilling (UVAD), and LTUVD under various conditions. The results show that LTUVD can significantly outperform the other two methods in reducing thrust force, chip breaking (especially in the titanium layer), mitigating tool wear, and improving hole wall surface quality. In addition, scanning electron microscopy (SEM) and energy-dispersive spectroscopy (EDS) analyses further reveal that LTUVD can effectively suppress thermal and adhesive wear, thereby extending tool life. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technology and Systems, 4th Edition)
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20 pages, 2366 KB  
Article
Optimized Design of a Sub-Arc-Second Micro-Drive Rotary Mechanism Based on the Swarm Optimization Algorithm
by Na Zhang, Dongmei Wang, Kai Li, Zhenyang Lv, Haochen Gui, Yizhi Yang and Manzhi Yang
Micromachines 2025, 16(10), 1190; https://doi.org/10.3390/mi16101190 - 21 Oct 2025
Viewed by 718
Abstract
The optimization of the micro-motion rotary mechanism aims to obtain the maximum rotation angle in a certain space and increase the compensation range of the micro-motion mechanism. Aiming to address the disadvantages of a small movement stroke, low positioning accuracy, and limited research [...] Read more.
The optimization of the micro-motion rotary mechanism aims to obtain the maximum rotation angle in a certain space and increase the compensation range of the micro-motion mechanism. Aiming to address the disadvantages of a small movement stroke, low positioning accuracy, and limited research on the sub-arc-second level of precision micro-drive mechanism, a micro-drive mechanism was designed in this study and structural optimization was performed to obtain the maximum output angle. Additionally, the performance of the optimized mechanism was investigated. First, based on the principle of a flexure hinge guide and conversion, a micro-drive rotary mechanism that could transform the linear motion of piezoelectric ceramics into rotating motion accurately without parasitic motion and non-motion direction force was designed. Second, its structural optimization was achieved using the particle swarm optimization algorithm. Third, analyses of the drive performance and kinematics of the system were conducted. Finally, a performance test platform for the micro-drive rotary mechanism was built, its positioning performance and dynamic characteristics were verified experimentally, and the maximum rotary displacements and positioning error of the system were calculated. This research has certain reference value for studies of ultra-precision positioning. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technology and Systems, 4th Edition)
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18 pages, 7712 KB  
Article
Prediction Model and Experimental Verification of Surface Roughness of Single Crystal Diamond Chemical Mechanical Polishing Based on Archimedes Optimization Algorithm
by Zhaoze Li, Xiaoguang Guo, Guanghui Fan, Yueming Deng, Renke Kang and Xuefei Wang
Micromachines 2025, 16(10), 1121; https://doi.org/10.3390/mi16101121 - 30 Sep 2025
Cited by 1 | Viewed by 1496
Abstract
Chemical mechanical polishing (CMP) is a critical technique for fabricating ultra-smooth and high-quality surfaces of single crystal diamond (SCD), where processing parameters profoundly influence polishing performance. To achieve superior diamond surface finishes, this study first investigates the effects of key process parameters, including [...] Read more.
Chemical mechanical polishing (CMP) is a critical technique for fabricating ultra-smooth and high-quality surfaces of single crystal diamond (SCD), where processing parameters profoundly influence polishing performance. To achieve superior diamond surface finishes, this study first investigates the effects of key process parameters, including oxidant concentration, catalyst type, and abrasive particle size, on surface quality through single-factor experiments. Subsequently, an Archimedes optimization algorithm (AOA)-based prediction model for diamond CMP surface roughness (Sa) is developed and validated experimentally. Results reveal that high-concentration oxidants, fine-particle abrasives, and dual-catalyst polishing systems synergistically enhance surface quality. The AOA-based prediction model demonstrates a root-mean-square error (RMSE) of 0.006 and a correlation coefficient (R) of 0.98 between the predicted and experimental Sa values. Under the conditions of a dual-catalyst type, 35% oxidant concentration, and 500 nm abrasive particle size, the model predicts a surface roughness of 0.128 nm, with an experimental value of 0.125 nm and a relative error of less than 3%. These findings highlight the capability of the model to accurately forecast surface roughness across diverse process parameters, offering a novel predictive framework for precision CMP of SCD. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technology and Systems, 4th Edition)
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22 pages, 9020 KB  
Article
Hybrid Inductively Coupled Plasma and Computer-Controlled Optical Surfacing Polishing for Rapid Fabrication of Damage-Free Ultra-Smooth Surfaces
by Wei Li, Peiqi Jiao, Dawei Luo, Qiang Xin, Bin Fan, Xiang Wu, Bo Gao and Qiang Chen
Micromachines 2025, 16(9), 1073; https://doi.org/10.3390/mi16091073 - 22 Sep 2025
Viewed by 1151
Abstract
The polymer deposition layer (PDL) formed during inductively coupled plasma (ICP) processing significantly limits the figuring accuracy and surface quality of fused silica optics. This study investigates the formation mechanism, composition, and evolution of the PDL under varying dwell times and proposes an [...] Read more.
The polymer deposition layer (PDL) formed during inductively coupled plasma (ICP) processing significantly limits the figuring accuracy and surface quality of fused silica optics. This study investigates the formation mechanism, composition, and evolution of the PDL under varying dwell times and proposes an innovative dwell time gradient strategy to suppress roughness deterioration. A significant disparity in hardness and elastic modulus between the deposition layer and the substrate is revealed, explaining its preferential removal and protective buffering effect in computer-controlled optical surfacing (CCOS). A hybrid ICP-CCOS polishing process was developed for processing a ϕ100 mm fused silica mirror. The results show that within 33 min, the surface graphic error RMS was significantly reduced from 58.006 nm to 12.111 nm, and within 90 min, the surface roughness was ultra-precisely reduced from Ra 1.719 nm to Ra 0.151 nm. The average processing efficiency was approximately 0.63 cm2/min. Critically, a damage-free, ultra-smooth surface without subsurface damage (SSD) was successfully achieved. This hybrid process enables the simultaneous optimization of figure accuracy and roughness, eliminating the need for iterative figuring cycles. It provides a novel theoretical framework for high-precision figuring and post-ICP polymer removal, advancing the efficient fabrication of high-performance optics. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technology and Systems, 4th Edition)
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Review

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21 pages, 4018 KB  
Review
Industrial Artificial and Natural Fibers’ Cutting Mechanism—A Review
by Shanshan Hu, Mengmeng Ma, Zhiliang Wu, Yuyuan Huang, Qingrui Jiang and Chengji Yang
Micromachines 2026, 17(5), 513; https://doi.org/10.3390/mi17050513 - 23 Apr 2026
Viewed by 452
Abstract
Industrial synthetic and natural fibers play an indispensable role in modern manufacturing, aerospace, automotive, and textile engineering. However, the enhanced mechanical performance of advanced industrial fibers has introduced significant challenges in cutting processes, since brittle, high-tensile, and viscoelastic fibers exhibit totally different fracture [...] Read more.
Industrial synthetic and natural fibers play an indispensable role in modern manufacturing, aerospace, automotive, and textile engineering. However, the enhanced mechanical performance of advanced industrial fibers has introduced significant challenges in cutting processes, since brittle, high-tensile, and viscoelastic fibers exhibit totally different fracture behaviors from conventional solid materials. At present, the complex motion coupling mechanisms between fibers and cutting tools under free-form conditions are insufficient; there is no unified framework for understanding the mechanisms of fiber cutting; it is difficult to effectively link the microscopic fracture physics of different fiber types with their macroscopic cutting properties. Furthermore, research into the dynamic interaction between the cutting tool and the fiber, cross-scale cutting characteristics, and tool wear mechanisms has not been sufficiently systematic, and non-contact cutting methods have not yet been the subject of systematic study. Through a systematic review, this review identified three primary categories of difficult-to-cut industrial fibers and summarized the distinctions in their fundamental material properties. The static, kinematic, and dynamic characteristics of fiber cutting under both free and fixed forms were discussed. The fracture mechanisms of fibers under diverse loading scenarios were also systematically revealed. Furthermore, this review summarizes the effects of cutting tool wear characteristics, geometric parameters, and material types on cutting performance. Finally, non-contact methods for cutting fiber were listed. Based on the above analysis, three critical directions for future research were proposed to bridge the existing knowledge gaps in the literature. This review of the interdisciplinary interactions among mechanics, materials science, and textile engineering provides a theoretical foundation and research directions for achieving high efficiency and a long tool life during cutting industrial fibers. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technology and Systems, 4th Edition)
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