Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.1
3.0
Journals
Machines
Special Issues
Machine Tools for Precision Machining: Design, Control and Prospects, 2nd...
share announcement

Machine Tools for Precision Machining: Design, Control and Prospects, 2nd Edition

A Special Issue of Machines (ISSN 2075-1702) belonging to the section "Machine Design and Theory".

Deadline for manuscript submissions: 28 February 2027 | Viewed by 978

Editors

Dr. Yuwen Sun

E-Mail Website
Guest Editor
School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
Interests: tool path; sculptured surface; machining dynamics; adaptive machining; NC machining
Special Issues, Collections and Topics in MDPI journals
Dr. Shanglei Jiang

E-Mail Website
Guest Editor
School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116024, China
Interests: machining dynamics; anti-vibration tool; machining process modeling and simulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Precision machining has become essential to the manufacturing sector and has been found to create many critical parts for aerospace, electronics, and medical industries, among others. It generally involves a high-velocity machining process that makes parts requiring tight tolerances, high complexities, or both. This can be achieved through the use of advanced computerized machine tools with a high degree of repeatability and accuracy. As a basic tool for manufacturing the critical parts, high-precision multi-axis CNC machines are becoming indispensable in precision machining by producing different cutting effects to meet strict machining needs. At present, due to the continuous emergence of various new materials and new processes, complex material mechanisms, cumbersome manufacturing processes, and harsh processing conditions have put forward higher and higher performance requirements for machine tools. Therefore, precision machining requires the in-depth development of advanced theories and technologies, such as machine tool motion planning, error control and compensation, machining chatter prediction and suppression, cutter wear and chatter monitoring, bearing fault diagnosis, and process parameter optimization, to ensure that the required accuracy and stability are maintained in the face of evolving challenges.

Dr. Yuwen Sun
Dr. Shanglei Jiang
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-anonymized 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

  • machine tool motion planning
  • error control and compensation
  • machining chatter prediction and suppression
  • cutter wear and chatter monitoring
  • bearing fault diagnosis
  • machining process modeling and simulation
  • process parameter optimization

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Related Special Issue

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

26 pages, 9763 KB  
Article
Effect of Different Cooling Strategies on Surface Topography, Microstructure and Residual Stress of Turned γ-TiAl Alloy
by Lu Shen, Na Wang, Shankang Gao, Yifan Xu and Baiwei Zhu
Machines 2026, 14(10), 1139; https://doi.org/10.3390/machines14101139 - 2 Oct 2026
Viewed by 162
Abstract
This study investigates the surface integrity of γ-TiAl alloy during turning under different cooling strategies and reveals the regulation mechanisms of cooling conditions on surface morphology, plastic deformation, microstructure, and residual stress. Turning experiments were conducted under conventional cooling and high-pressure cooling conditions [...] Read more.
This study investigates the surface integrity of γ-TiAl alloy during turning under different cooling strategies and reveals the regulation mechanisms of cooling conditions on surface morphology, plastic deformation, microstructure, and residual stress. Turning experiments were conducted under conventional cooling and high-pressure cooling conditions at different cutting speeds, combined with wavelet-based three-dimensional surface morphology analysis, scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), and residual stress measurements. The results show that high-pressure cooling reduces the fluctuation of both high- and low-frequency surface morphology components, particularly suppressing low-frequency profile variations, thereby improving machining stability and surface consistency. Plastic deformation layers are formed under both cooling conditions and increase with cutting speed; however, high-pressure cooling reduces de-formation depth and alleviates lamellar bending and deflection. EBSD analysis reveals that machining-induced microstructural characteristics is mainly characterized by grain rotation, crystallographic orientation adjustment, and deformation-induced texture formation, without obvious dynamic recrystallization features. Compared with conventional cooling, high-pressure cooling maintains higher crystal integrity and suppresses excessive microstructural reconstruction. Residual stress results demonstrate that compressive residual stresses are generated under both cooling strategies, while high-pressure cooling produces higher compressive residual stress and a more stable stress distribution. These findings indicate that cooling strategies regulate surface integrity by modifying tool–workpiece interfacial interactions and mechanical load transfer behavior. High-pressure cooling improves interfacial lubrication, reduces friction-induced disturbance, and promotes more coordinated plastic deformation, resulting in reduced surface morphology fluctuation, suppressed microstructural damage, and enhanced compressive residual stress. This work provides theoretical guidance for precision machining of γ-TiAl alloy and other high-value difficult-to-machine materials. Full article
(This article belongs to the Special Issue Machine Tools for Precision Machining: Design, Control and Prospects, 2nd Edition)
25 pages, 3470 KB  
Article
MSC-DeepLabv3+: A Multi-Scale Contextual Network for Tool Wear Semantic Segmentation
by Haojie Huang, Jiaqi Zhou, Xuanbo Liu, Ting Sun, Haotuo Liu and Caixu Yue
Machines 2026, 14(10), 1095; https://doi.org/10.3390/machines14101095 - 25 Sep 2026
Viewed by 276
Abstract
The wear conditions of cutting tools directly affect the processing quality of workpieces and the safety of machine tool operation. Therefore, precise image segmentation of the wear area is the core prerequisite for tool condition monitoring. Aiming at these problems, such as the [...] Read more.
The wear conditions of cutting tools directly affect the processing quality of workpieces and the safety of machine tool operation. Therefore, precise image segmentation of the wear area is the core prerequisite for tool condition monitoring. Aiming at these problems, such as the loss of context information, insufficient spatial feature recognition and high edge missing rate in current tool wear segmentation methods, this paper proposes an improved semantic segmentation model called MSC-DeepLabv3+. This model deeply integrates the Mamba layer with the Atrous Spatial Pyramid Pooling module in the encoder, enhancing the multi-scale global context representation and making up for the shortcomings of traditional convolutional long-range feature association. We design a multi-level shallow feature fusion strategy, which combines the convolutional attention module to adaptively screen and enhance features to suppress the interference of complex textures on the tool surface. Meanwhile, a feature-aware adaptive upsampling module is constructed to dynamically focus on and weight the worn edges, alleviating the problems of high-frequency detail loss and edge blurring. Experiments indicate that the Dice of this model reaches 0.9560, and the segmentation accuracy is significantly better than similar semantic segmentation methods. Meanwhile, under complex cutting conditions, it possesses high precision, which has practical engineering value for the intelligent management of tool conditions in intelligent manufacturing scenarios. Full article
(This article belongs to the Special Issue Machine Tools for Precision Machining: Design, Control and Prospects, 2nd Edition)
►▼ Show Figures

Figure 1

23 pages, 45898 KB  
Article
Modeling and Analysis of Milling Forces in Longitudinal–Torsional Ultrasonic-Assisted Milling of Frozen Sand Molds
by Bailiang Zhuang, Haoqin Yang, Zhongde Shan, Zhuozhi Zhu and Zheng Wang
Machines 2026, 14(8), 863; https://doi.org/10.3390/machines14080863 - 31 Jul 2026
Viewed by 346
Abstract
Frozen sand molds exhibit broad application prospects in aerospace, large-scale complex castings, and high-end equipment manufacturing owing to their high-strength particle-bonding structure and excellent low-temperature stability. However, their brittle–plastic characteristics make them susceptible to collapse, spalling, and load fluctuations during conventional milling, resulting [...] Read more.
Frozen sand molds exhibit broad application prospects in aerospace, large-scale complex castings, and high-end equipment manufacturing owing to their high-strength particle-bonding structure and excellent low-temperature stability. However, their brittle–plastic characteristics make them susceptible to collapse, spalling, and load fluctuations during conventional milling, resulting in nonlinear and unstable milling force behavior. To address this issue, a longitudinal–torsional resonant ultrasonic-assisted milling method was proposed, and an instantaneous milling force model incorporating the effective cutting time was established based on the elemental cutting theory and the oblique cutting force model. Through a series of milling experiments, the milling force coefficients at different spindle speeds were calibrated using the average milling force coefficient method. The identified milling force coefficient models exhibited high fitting accuracy, with coefficients of determination (R2) exceeding 0.9. The developed model was then employed to investigate the effects of various machining conditions on the milling forces of frozen sand molds. The relative error between the predicted and experimentally measured average milling forces was calculated to evaluate the prediction accuracy. The results show that the relative errors between the predicted and experimental milling forces in the X-, Y-, and Z-directions were 9.76%, 8.43%, and 8.45%, respectively, all below 10%, demonstrating the reliability and accuracy of the proposed model. Cutting depth and cutting width were identified as the dominant factors affecting the milling force, whereas the ultrasonic-assisted milling process effectively reduced the milling force, with the most pronounced load-reduction effect observed for conventionally prepared frozen sand molds. This study provides a theoretical basis and practical guidance for process optimization and parameter selection for the efficient and low-load machining of frozen sand molds. Full article
(This article belongs to the Special Issue Machine Tools for Precision Machining: Design, Control and Prospects, 2nd Edition)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop