Next-Generation Machine Tools and Machining Technology

Special Issue Editors

State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing 100084, China
Interests: high-grade CNC machine tools; high performance machining; milling; grinding; bearing
Special Issues, Collections and Topics in MDPI journals
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
Interests: parallel turning; five-axis machining; process monitoring and control; machine tools
Aeronautics Advanced Manufacturing Center (CFAA), Universidad del País Vasco (UPV/EHU), Bizkaia Technology Park, Building 202, 48170 Zamudio, Spain
Interests: high-performance machining; EDM; development and optimization of machining processes; simulation-based performance enhancement
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Guest Editor
Department of Mechanical Engineering, University of the Basque Country (UPV/EHU), Alameda de Urquijo S/N, 48013 Bilbao, Spain
Interests: manufacturing engineering; industrial engineering; mechanical engineering; hybrid manufacturing; additive manufacturing
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Special Issue Information

Dear Colleagues,

As the cornerstone of manufacturing industry, CNC machine tools have made great progress in machine tool structure, precision control, process monitoring and automation, and data communication after more than half a century of development. At present, advanced machine tools have achieved high performance in terms of accuracy, rigidity, cutting capability and long-term precision stability. Both stand-alone manufacturing and integrated manufacturing systems have achieved a high level of machining performance.

However, in the face of cutting-edge manufacturing needs such as high value-added parts, thin-walled structures and difficult-to-machine materials, the current technologies are not yet able to fully meet these requirements. The limitations are mainly reflected in weak bidirectional data interaction, insufficient reliability of intelligent monitoring systems, difficult online measurement of part quality, etc. In addition, the overall intelligence level of the manufacturing process still requires significant improvement. Meanwhile, low-carbon production and improving workers' operational safety and comfort have also become urgent needs of the industry.

To this end, this special issue will focus on cutting-edge research on next-generation machine tools and machining technologies, focusing on:

  • Efficient data interaction and collaboration: Enhance sensor configuration and CNC controller performance, realize seamless bidirectional data flow within and beyond the machine tool, and support flexible and networked production.
  • Intelligent monitoring and quality control across the process chain: Build a robust monitoring system to realize real-time perception and abnormal diagnosis of machine tools, tools, fixtures, parts and personnel status.
  • AI and digital twins in machine development, machining: Develop predictive models with fast response and high accuracy using the most advanced AI technology, and achieve low-latency interaction and control between virtual digital machining systems and real manufacturing systems.
  • Less-manned/unmanned manufacturing systems: Develop automated and adaptive machining units for small batch and high-value parts in aerospace and other fields.
  • Green manufacturing and resource recycling: Covers technologies such as precise cooling, carbon emission control, waste recycling and tool reuse to promote sustainable production.
  • High-performance cutting of difficult-to-machine materials: Integrating new energy fields such as laser, thermal field, and magnetic field to improve cutting efficiency and surface integrity.Advanced tool coating technology, ceramic tools, etc.

Dr. Lai Hu
Dr. Lele Bai
Dr. Jun Wang
Dr. Haizea González-Barrio
Guest Editors

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Keywords

  • next-generation machine tools
  • intelligent monitoring and quality control
  • less-manned/unmanned manufacturing
  • green manufacturing
  • AI and digital twins in manufacturing
  • high-performance cutting

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Published Papers (2 papers)

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Research

13 pages, 35908 KB  
Article
Ball-End Copy-Milling of Slender Aluminium 5083 Workpieces Under Bending Loads
by Álvaro Sáinz de la Maza García, Gonzalo Martínez de Pissón Caruncho and Luis Norberto López de Lacalle Marcaide
J. Manuf. Mater. Process. 2026, 10(5), 156; https://doi.org/10.3390/jmmp10050156 - 29 Apr 2026
Viewed by 831
Abstract
Ball-end copy-milling is widely used for finishing complex components, yet its influence on surface integrity is generally overlooked and remains insufficiently addressed. Milling often generates tensile residual stresses at the machined surface, which are detrimental to fatigue performance and commonly require costly postprocessing, [...] Read more.
Ball-end copy-milling is widely used for finishing complex components, yet its influence on surface integrity is generally overlooked and remains insufficiently addressed. Milling often generates tensile residual stresses at the machined surface, which are detrimental to fatigue performance and commonly require costly postprocessing, particularly in fatigue-critical parts such as turbine blades. In this context, the present study evaluates the capability of Prestress-Assisted Machining under uniform bending loads to improve the surface integrity of ball-end copy-milled Aluminium 5083 workpieces. Experimental tests were conducted on slender specimens with different thicknesses and curvature radii while maintaining constant cutting conditions. After machining and unclamping, surface residual stresses were measured by X-ray diffraction, and the effects of prestressing on geometry, cutting forces and surface roughness were also assessed. The results demonstrate that this method markedly increases compressive residual stresses in the prestressing direction, from approximately 30 MPa to about 180 MPa, and that this variation can be accurately described by subtracting the elastic prestressing stress from the residual stresses obtained without external loads applied. Moreover, no relevant adverse effects were observed in cutting forces or roughness, and corrected toolpaths allowed a uniform slot depth. These findings identify bending-based Prestress-Assisted Machining as an effective and predictable strategy for improving surface integrity in ball-end copy-milling and extend its applicability beyond previously reported pocket and slot milling operations. Full article
(This article belongs to the Special Issue Next-Generation Machine Tools and Machining Technology)
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18 pages, 4323 KB  
Article
Real-Time Pose Correction of an Industrial Robot for Machining Using Photogrammetry
by Roberto Alonso, Beñat Iñigo, Ibai Leizea, Pedro González de Alaiza Martínez, Jon Lopez de Zubiria and Jokin Munoa
J. Manuf. Mater. Process. 2026, 10(5), 147; https://doi.org/10.3390/jmmp10050147 - 23 Apr 2026
Viewed by 993
Abstract
A photogrammetry-based error compensation solution, comprising calibration, positioning compensation and accuracy validation methodologies, is presented to the aerospace sector, able to assist industrial robots in manufacturing new composite materials, offering versatility and reconfigurability at a lower cost than that resulting from the currently [...] Read more.
A photogrammetry-based error compensation solution, comprising calibration, positioning compensation and accuracy validation methodologies, is presented to the aerospace sector, able to assist industrial robots in manufacturing new composite materials, offering versatility and reconfigurability at a lower cost than that resulting from the currently used milling machines. Against a ground truth measured by a laser tracker, it has boosted, in real time, the accuracy level from ±0.685 to ±0.203 mm, on average, and from ±1.621 to ±0.498 mm at peak, following the ISO 9283 standard, and from ±0.534 to ±0.080 mm, on average, and from ±1.804 to ±0.456 mm at peak, with a real part in a large volume under industrial operating conditions, taking into account occlusions and showing robustness against the impact of the payload, the waviness, and the backlash. Full article
(This article belongs to the Special Issue Next-Generation Machine Tools and Machining Technology)
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