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Machines
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Advanced Design, Manufacturing, and Applications of Precision Machine Tools
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Advanced Design, Manufacturing, and Applications of Precision Machine Tools

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

Deadline for manuscript submissions: 30 June 2026 | Viewed by 3570

Special Issue Editor

Dr. Jun Zha

E-Mail Website
Guest Editor
School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: hydrostatic bearings; machine tools; precision machining; measurement
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The pursuit of ultra-high precision and efficiency in modern manufacturing demands continuous innovation in machine tool design, fabrication, and application. This Special Issue focuses on cutting-edge technologies in precision machine tool development, including high-stiffness structural design, thermal error compensation, vibration suppression, advanced control systems, and smart monitoring. Additionally, it explores their applications in critical sectors such as aerospace, automotives, microelectronics, and medical device manufacturing.

We invite original research and reviews addressing challenges in machining accuracy, dynamic performance optimization, energy-efficient machining, and digital twin integration. Contributions may cover theoretical advances, experimental validations, or industrial case studies.

This issue aims to foster discussions on emerging trends, such as AI-driven process optimization and sustainable precision manufacturing, providing a platform for researchers and engineers to share breakthroughs.

You may choose our Joint Special Issue in Journal of Manufacturing and Materials Processing.

Dr. Jun Zha
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 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. 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

  • precision machine tools
  • thermal error compensation
  • vibration control
  • high-performance machining
  • digital twin
  • smart manufacturing
  • AI-driven process optimization
  • ultra-precision machining
  • structural optimization
  • energy-efficient machining

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

Published Papers (4 papers)

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Research

36 pages, 5862 KB  
Article
Reliability Analysis of Aerospace Blade Manufacturing Equipment: A Multi-Source Uncertainty FMECA Method for Five-Axis CNC Machine Tool Spindle Systems
by Muhao Han, Yufei Li, Hailong Tian, Yuzhi Sun, Zixuan Ni, Yunshenghao Qiu and Haoyuan Li
Machines 2026, 14(4), 360; https://doi.org/10.3390/machines14040360 - 25 Mar 2026
Viewed by 311
Abstract
Five-axis Computerized Numerical Control (CNC) machine tools play a pivotal role in the precision manufacturing of aeroengine turbine blades, where ultra-high reliability and accuracy are essential. Failure Mode, Effects and Criticality Analysis (FMECA) has been widely applied in the reliability assessment of such [...] Read more.
Five-axis Computerized Numerical Control (CNC) machine tools play a pivotal role in the precision manufacturing of aeroengine turbine blades, where ultra-high reliability and accuracy are essential. Failure Mode, Effects and Criticality Analysis (FMECA) has been widely applied in the reliability assessment of such advanced machining systems due to its systematic evaluation of potential failure modes. However, traditional FMECA approaches often overlook the ambiguity of human cognition and the interdependence among expert evaluations, limiting their effectiveness in complex aerospace manufacturing environments. To address these issues, this paper proposes a novel FMECA framework based on generalized intuitionistic linguistic theory. A new Generalized Intuitionistic Linguistic Weighted Geometric Average (GILWGA) operator is introduced to couple multi-source expert information and quantify the fuzziness inherent in subjective assessments. Additionally, an intuitionistic linguistic entropy-based weighting scheme is developed to dynamically evaluate key risk factors, including severity, occurrence, detectability, and controllability. The proposed framework is applied to a case study involving the spindle system of a five-axis CNC machine tool used in aeroengine blade production. The results demonstrate that the proposed method offers more robust and consistent failure mode prioritization, providing effective decision support for reliability-centered maintenance in aerospace equipment manufacturing. Full article
(This article belongs to the Special Issue Advanced Design, Manufacturing, and Applications of Precision Machine Tools)
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22 pages, 10934 KB  
Article
An Accuracy Design Method for a Linear Feed System of Machine Tools Considering the Geometric Error Shape of the Guideway
by Xin Guo, Hongxu Wang, Guangming Sun, Dawei Zhang, Zhe Su and Gaofeng Hu
Machines 2026, 14(1), 82; https://doi.org/10.3390/machines14010082 - 9 Jan 2026
Viewed by 488
Abstract
This paper proposes a method for improving machine tool linear feed system accuracy by considering the geometric error shape of the guideway. First, a mathematical model relating guideway errors to worktable pose errors is established using static force equilibrium principles and deformation coordination [...] Read more.
This paper proposes a method for improving machine tool linear feed system accuracy by considering the geometric error shape of the guideway. First, a mathematical model relating guideway errors to worktable pose errors is established using static force equilibrium principles and deformation coordination equations. The impact of different guideway geometric error-shape combinations of linear feed system accuracy is analyzed. It is determined under which combination of guideway error shapes the linear feed system achieves the highest accuracy. Second, a finite element analysis model of the machine tool linear feed system is developed to examine how guideway geometric error shapes affect the error-averaging effect. This is compared with conventional design methods that disregard error shapes. Finally, experimental verification confirms both the effectiveness and broader applicability of the guideway error-shape design methodology. The results show that controlling the error shape of guideways can relax the requirement for guideway amplitude, thereby reducing machining difficulty and production costs. Full article
(This article belongs to the Special Issue Advanced Design, Manufacturing, and Applications of Precision Machine Tools)
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21 pages, 4605 KB  
Article
A Deformation Prediction Method for Thin-Walled Workpiece Machining Based on the Voxel Octree Model
by Pengxuan Wei, Liping Wang and Weitao Li
Machines 2025, 13(9), 803; https://doi.org/10.3390/machines13090803 - 3 Sep 2025
Cited by 1 | Viewed by 1159
Abstract
In flank milling of thin-walled workpieces, machining deformation is a key issue affecting workpiece accuracy and process stability. Although the traditional finite element method (FEM) offers high accuracy, its low computational efficiency makes it difficult to meet the requirements for rapid prediction in [...] Read more.
In flank milling of thin-walled workpieces, machining deformation is a key issue affecting workpiece accuracy and process stability. Although the traditional finite element method (FEM) offers high accuracy, its low computational efficiency makes it difficult to meet the requirements for rapid prediction in engineering practice. For this purpose, this paper proposes an efficient method for predicting workpiece deformation based on the voxel octree model. First, based on the analysis of the contact position between the cutting tool and the workpiece, the thin-walled workpiece is divided into six levels of voxel units, using a voxel octree model. Then, the stiffness matrix and update model of the voxel units are established. Finally, the deformation prediction is completed by calculating the micro-milling force and the voxel stiffness matrix. The experimental results show that the workpiece deformation predicted by the proposed method is highly consistent with the actual machining measurement. At the same time, compared with traditional FEM and voxel model methods, the calculation time is reduced by 90% and 13.2%, respectively. This method can provide rapid decision support for the optimization of thin-walled workpiece machining processes and effectively improve the efficiency of preliminary research in actual machining. Full article
(This article belongs to the Special Issue Advanced Design, Manufacturing, and Applications of Precision Machine Tools)
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14 pages, 3914 KB  
Article
Thermal Error Analysis of Hydrostatic Turntable System
by Jianlei Wang, Changhui Ke, Kaiyu Hu and Jun Zha
Machines 2025, 13(7), 598; https://doi.org/10.3390/machines13070598 - 10 Jul 2025
Cited by 1 | Viewed by 774
Abstract
The thermal error caused by the temperature rise in the service condition of the hydrostatic turntable system has a significant impact on the accuracy of the machine tool. The temperature rise is mainly caused by the friction heat of the bearing and the [...] Read more.
The thermal error caused by the temperature rise in the service condition of the hydrostatic turntable system has a significant impact on the accuracy of the machine tool. The temperature rise is mainly caused by the friction heat of the bearing and the heat of the oil pump. The amount of heat mainly depends on the working parameters, such as the oil supply pressure and the oil film gap. The unreasonable parameter setting will cause the reduction in the internal flow of the hydrostatic bearing and the increase in the oil pump power, which makes the heat of the lubricating oil increase and the heat dissipation capacity decrease during the movement. Based on the established hydrostatic turntable system, in order to explore the main influencing factors of its thermal error, the temperature field model of the component is established by calculating the thermal balance of the key components of the system. The thermal coupling analysis of the component is carried out by using the model, and the temperature rise, deformation and strain curves of the hydrostatic turntable system under different service conditions are obtained. The results show that with the increase in the temperature, the deformation and strain of the bearing increase monotonously. For every 1 °C increase, the total deformation of the bearing increases by about 0.285 μm. The higher the oil supply pressure, the higher the temperature rise in the system. The larger the oil film gap, the lower the temperature rise in the system. The oil supply pressure has a greater influence on the temperature rise and thermal deformation than the oil film gap. This study provides a valuable reference for reducing the thermal error generated by the hydraulic turntable of the ultra-precision lathe. Full article
(This article belongs to the Special Issue Advanced Design, Manufacturing, and Applications of Precision Machine Tools)
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