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Editorial

Editorial for the Special Issue on Advances in Ultra-Precision Machining Technology and Applications

1
State Key Laboratory of Ultra-Precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
2
School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
*
Author to whom correspondence should be addressed.
Micromachines 2022, 13(12), 2093; https://doi.org/10.3390/mi13122093
Submission received: 21 November 2022 / Accepted: 22 November 2022 / Published: 28 November 2022
(This article belongs to the Special Issue Advances in Ultra-Precision Machining Technology and Applications)
Ultra-precision machining technology has been widely used in the manufacture of many mission-critical components for various industrial areas, such as the advanced optics, photonics aerospace, automotive, telecommunications, biomedical and energy and environmental sectors, among others. The increasing degree of geometrical complexity, requirement of high precision and the evolution of the materials used for machined workpieces have led to many research challenges in different fields, including ultra-precision machining technologies, novel machining processes, cutting mechanics, surface generation mechanisms, novel machine design, advanced sensing, machine metrology, accurate control of the machining process through modeling and simulation of ultra-precision machining processes, error compensation, materials sciences, measurement and on-machine metrology, as well as advanced applications for functional uses.
This Special Issue offers a high-quality collection of 17 papers detailing the latest research results and findings in the field of ultra-precision machining technology and related applications. These papers cover various aspects of this topic, including multi-physical coupling simulation of electrochemical machining and aerostatic spindle, error measurement and compensation, femtosecond-laser-assisted etching, numerical modeling of cutting force and stress, prediction of milling stability, influence of tribological characteristics, tribochemical mechanical polishing, low-pressure lapping, thermal effect, micromachining innovation design, single-particle erosion mechanism, dynamic performance of aerostatic thrust bearing, fly-cutting process and ultrasonic-vibration-assisted cutting.
Highlights of this collection of papers are as follows. Li et al. [1] present a study focused on the forming mechanism of cooling hole electrolytic machining using multi-physical field coupled simulation and experimental observation. An investigation of the main error sources was conducted by Xiang et al. [2] for the error motion measurement of a precision shafting based on a T-type capacitive sensor. Wang et al. [3] report a femtosecond-laser-assisted dry-etching technology that can be utilized to realize the fabrication of silicon microlenses. A new cutting force coefficient model is established Li et al. [4], revealing the influence of the cutting-edge radius on the cutting process. An updated full-discretization method is presented by Ma et al. [5] for milling stability prediction based on cubic spline interpolation. Nagîț et al. [6] elaborate the tribological behavior of test piece surfaces, analyzing the changes in the values of the coefficient of friction and loss of mass that appear over time. Qi et al. [7] demonstrate the mechanism underlying oxygen production and the tribochemical reaction mechanisms of SiC during fixed abrasive tribochemical mechanical polishing. Yu et al. [8] describe the modeling and simulation of the surface generation mechanism of a novel low-pressure lapping method using the finite element method, indicating that rotational speed plays a major role in this process. A three-degrees-of-freedom (3-DOF) quasi-static kinematics model is established by Lei et al. [9] for motion errors containing the thermal effect for the hydrostatic guideway. Experimental results show that the model has a certain effect on thermal error prediction. Wang et al. [10] present a knowledge-based holistic framework that enables process planners to achieve micromachining innovation design by analyzing innovation design procedures and available knowledge sources. Cao et al. [11] combine smoothed particle hydrodynamics (SPH) simulation and an experiment to investigate the single-particle erosion mechanism of optical glass and verify the effect of impact velocity and particle size on material removal rate. Wang et al. [12] utilize the FLUENT software to simulate and analyze the impact of throttling characteristics of small orifices on the stiffness and stability optimization of aerostatic thrust bearings. Dai et al. [13] analyze the electrochemical machining (ECM) process in a film-cooling hole by conducting a multi-physics coupling simulation on the basis of Faraday’s law and a fluid heat transfer mathematical model. An et al. [14] utilize simulation to explore the causes of potassium dihydrogen phosphate (KDP) chip formation in the single-point diamond fly-cutting process, and micro-cracks on the machined surface are analyzed based on thermo-mechanical coupling and chip morphology. Guan et al. [15] propose a high-precision machining method for weak-stiffness mirrors based on the fast tool servo system and realize a clamping error with a peak-to-valley (PV) value of 5.2 µm and a cutting error with a PV value of 1.6 µm. Zhang et al. [16] demonstrate a 104 kHz ultrasonic-vibration-assisted cutting system could achieve a constant surface roughness of about 3 nm to 4 nm in machining steel optical modules with 0–15° slope degrees. Finally, Chen et al. [17] establish a multi-field coupling 5-DOF dynamics model for the aerostatic spindle considering the interaction between the air film, spindle shaft and the motor.

Funding

This research received no external funding.

Acknowledgments

We would like to take this opportunity to thank all the authors for submitting their papers to this Special Issue, the reviewers for their time in helping to improve the quality of the submitted papers for the production of this Special Issue.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Li, Z.; Li, W.; Dai, Y. Experimental Research and Multi-Physical Field Coupling Simulation of Electrochemical Machining Based on Gas–Liquid Two-Phase Flow. Micromachines 2022, 13, 246. [Google Scholar] [CrossRef] [PubMed]
  2. Xiang, K.; Wang, W.; Chen, Z. Analysis of Main Error Sources for the Error Motion Measurement of a Precision Shafting Using a T-Type Capacitive Sensor. Micromachines 2022, 13, 221. [Google Scholar] [CrossRef] [PubMed]
  3. Wang, B.-X.; Zheng, J.-X.; Qi, J.-Y.; Guo, M.-R.; Gao, B.-R.; Liu, X.-Q. Integration of Multifocal Microlens Array on Silicon Microcantilever via Femtosecond-Laser-Assisted Etching Technology. Micromachines 2022, 13, 218. [Google Scholar] [CrossRef] [PubMed]
  4. Li, P.; Chang, Z. Numerical Modeling of the Effect of Cutting-Edge Radius on Cutting Force and Stress Concentration during Machining. Micromachines 2022, 13, 211. [Google Scholar] [CrossRef] [PubMed]
  5. Ma, J.; Li, Y.; Zhang, D.; Zhao, B.; Wang, G.; Pang, X. A Novel Updated Full-Discretization Method for Prediction of Milling Stability. Micromachines 2022, 13, 160. [Google Scholar] [CrossRef] [PubMed]
  6. Nagîț, G.; Slătineanu, L.; Dodun, O.; Mihalache, A.M.; Rîpanu, M.I.; Hriţuc, A. Influence of Some Microchanges Generated by Different Processing Methods on Selected Tribological Characteristics. Micromachines 2022, 13, 29. [Google Scholar] [CrossRef] [PubMed]
  7. Qi, W.; Cao, X.; Xiao, W.; Wang, Z.; Su, J. Study on the Mechanism of Solid-Phase Oxidant Action in Tribochemical Mechanical Polishing of SiC Single Crystal Substrate. Micromachines 2021, 12, 1547. [Google Scholar] [CrossRef] [PubMed]
  8. Yu, N.; Li, L.; Kee, C.-s. Modeling and Simulation of the Surface Generation Mechanism of a Novel Low-Pressure Lapping Technology. Micromachines 2021, 12, 1510. [Google Scholar] [CrossRef]
  9. Lei, P.; Wang, Z.; Shi, C.; Peng, Y.; Lu, F. Simulation, Modeling and Experimental Research on the Thermal Effect of the Motion Error of Hydrostatic Guideways. Micromachines 2021, 12, 1445. [Google Scholar] [CrossRef] [PubMed]
  10. Zhang, D.; Wang, G.; Xin, Y.; Shi, X.; Evans, R.; Guo, B.; Huang, P. Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining. Micromachines 2021, 12, 1357. [Google Scholar] [CrossRef]
  11. Cao, Z.; Yan, S.; Li, S.; Zhang, Y. Theoretical Modeling and Experimental Analysis of Single-Particle Erosion Mechanism of Optical Glass. Micromachines 2021, 12, 1221. [Google Scholar] [CrossRef] [PubMed]
  12. Sahto, M.P.; Wang, W.; Sanjrani, A.N.; Hao, C.; Shah, S.A. Dynamic Performance of Partially Orifice Porous Aerostatic Thrust Bearing. Micromachines 2021, 12, 989. [Google Scholar] [CrossRef] [PubMed]
  13. Li, Z.; Cao, B.; Dai, Y. Research on Multi-Physics Coupling Simulation for the Pulse Electrochemical Machining of Holes with Tube Electrodes. Micromachines 2021, 12, 950. [Google Scholar] [CrossRef] [PubMed]
  14. An, C.; Feng, K.; Wang, W.; Xu, Q.; Lei, X.; Zhang, J.; Yao, X.; Li, H. Interaction Mechanism of Thermal and Mechanical Field in KDP Fly-Cutting Process. Micromachines 2021, 12, 855. [Google Scholar] [CrossRef] [PubMed]
  15. Li, Z.; Dai, Y.; Guan, C.; Yong, J.; Sun, Z.; Du, C. High-Precision Machining Method of Weak-Stiffness Mirror Based on Fast Tool Servo Error Compensation Strategy. Micromachines 2021, 12, 607. [Google Scholar] [CrossRef] [PubMed]
  16. Zhang, C.; Cheung, C.; Bulla, B.; Zhao, C. An Investigation of the High-Frequency Ultrasonic Vibration-Assisted Cutting of Steel Optical Moulds. Micromachines 2021, 12, 460. [Google Scholar] [CrossRef] [PubMed]
  17. Chen, G.; Chen, Y. Multi-Field Coupling Dynamics Modeling of Aerostatic Spindle. Micromachines 2021, 12, 251. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Cheung, B.C.F.; Guo, J. Editorial for the Special Issue on Advances in Ultra-Precision Machining Technology and Applications. Micromachines 2022, 13, 2093. https://doi.org/10.3390/mi13122093

AMA Style

Cheung BCF, Guo J. Editorial for the Special Issue on Advances in Ultra-Precision Machining Technology and Applications. Micromachines. 2022; 13(12):2093. https://doi.org/10.3390/mi13122093

Chicago/Turabian Style

Cheung, Benny C. F., and Jiang Guo. 2022. "Editorial for the Special Issue on Advances in Ultra-Precision Machining Technology and Applications" Micromachines 13, no. 12: 2093. https://doi.org/10.3390/mi13122093

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