期刊名：Journal of Manufacturing and Materials Processing

期刊主页：https://www.mdpi.com/journal/jmmp

精密加工与制造是高端制造与工业 4.0/5.0 的核心支撑技术，持续推动制造精度、表面质量与加工效率迈向新高度。本期精选了 15 篇 2025 年发表于 JMMP 期刊的前沿研究，内容覆盖精密加工、磨削/铣削精度、机床误差补偿等多个主题。希望本期推文能为关注精密制造前沿的你，提供有价值的学术洞察与实践灵感。

1.Basic Properties of High-Dynamic Beam Shaping with Coherent Combining of High-Power Laser Beams for Materials Processing

高功率激光束相干合成高动态光束整形在材料加工中的基本特性

http://www.mdpi.com/2504-4494/9/3/85

Weber, R.; Wagner, J.; Peter, A.; Hagenlocher, C.; Spira, A.; Urbach, B.; Shekel, E.; Vidne, Y. Basic Properties of High-Dynamic Beam Shaping with Coherent Combining of High-Power Laser Beams for Materials Processing. J. Manuf. Mater. Process. 2025, 9, 85. https://doi.org/10.3390/jmmp9030085

2. Effect of Ball Milling Speeds on the Phase Formation and Optical Properties of α-ZnMoO4 and β-ZnMoO4 Nanoparticles

球磨速度对α-ZnMoO4和β-ZnMoO4纳米粒子的相形成和光学性质的影响

http://www.mdpi.com/2504-4494/9/4/118

Gancheva, M.; Iordanova, R.; Ivanov, P.; Yordanova, A. Effect of Ball Milling Speeds on the Phase Formation and Optical Properties of α-ZnMoO4 and ß-ZnMoO4 Nanoparticles. J. Manuf. Mater. Process. 2025, 9, 118. https://doi.org/10.3390/jmmp9040118

3. Knowledge-Based Adaptive Design of Experiments (KADoE) for Grinding Process Optimization Using an Expert System in the Context of Industry 4.0

基于知识的自适应实验设计（KADoE）在工业4.0背景下利用专家系统优化磨削工艺

https://www.mdpi.com/2504-4494/9/2/62

Fattahi, S.; Azarhoushang, B.; Kitzig-Frank, H. Knowledge-Based Adaptive Design of Experiments (KADoE) for Grinding Process Optimization Using an Expert System in the Context of Industry 4.0. J. Manuf. Mater. Process. 2025, 9, 62. https://doi.org/10.3390/jmmp9020062

4. Comparison of 2D and 3D Surface Roughness Parameters of AlMgSi0.5 Aluminium Alloy Surfaces Machined by Abrasive Waterjet

采用磨料水射流加工AlMgSi0.5铝合金表面二维和三维表面粗糙度参数的比较

https://www.mdpi.com/2504-4494/9/3/80

Felh?, C.; Kun-Bodnár, K.; Maros, Z. Comparison of 2D and 3D Surface Roughness Parameters of AlMgSi0.5 Aluminium Alloy Surfaces Machined by Abrasive Waterjet. J. Manuf. Mater. Process. 2025, 9, 80. https://doi.org/10.3390/jmmp9030080

5. A Study on Laser-Assisted Cylindrical Grinding of Superhard Diamond Composite (DSiC) Materials: Surface Integrity and Efficiency

超硬金刚石复合材料（DSiC）激光辅助圆柱磨削研究：表面完整性和效率

https://www.mdpi.com/2504-4494/9/2/56

Paknejad, M.; Azarhoushang, B.; Bösinger, R.; Zahrani, E.G. A Study on Laser-Assisted Cylindrical Grinding of Superhard Diamond Composite (DSiC) Materials: Surface Integrity and Efficiency. J. Manuf. Mater. Process. 2025, 9, 56. https://doi.org/10.3390/jmmp9020056

6. A Flatness Error Prediction Model in Face Milling Operations Using 6-DOF Robotic Arms

基于六自由度机械臂的端面铣削加工平面度误差预测模型

https://www.mdpi.com/2504-4494/9/2/66

Iglesias, I.; Sánchez-Lite, A.; González-Gaya, C.; Silva, F.J.G. A Flatness Error Prediction Model in Face Milling Operations Using 6-DOF Robotic Arms. J. Manuf. Mater. Process. 2025, 9, 66. https://doi.org/10.3390/jmmp9020066

7. Cutting Fluid Effectiveness in the High-Speed Finish Machining of Inconel 718 Using a Whisker-Reinforced Ceramic Tool

切削液在采用晶须增强陶瓷刀具对Inconel 718进行高速精加工中的有效性研究

http://www.mdpi.com/2504-4494/9/4/123

Jomaa, W.; Daoud, M.; Javadi, H.; Bocher, P. Cutting Fluid Effectiveness in the High-Speed Finish Machining of Inconel 718 Using a Whisker-Reinforced Ceramic Tool. J. Manuf. Mater. Process. 2025, 9, 123. https://doi.org/10.3390/jmmp9040123

8. Accuracy Optimization of Robotic Machining Using Grey-Box Modeling and Simulation Planning Assistance

利用灰盒建模和仿真规划辅助实现机器人加工精度优化

https://www.mdpi.com/2504-4494/9/4/126

Trinh, M.; Königs, M.; Gründel, L.; Beier, M.; Petrovic, O.; Brecher, C. Accuracy Optimization of Robotic Machining Using Grey-Box Modeling and Simulation Planning Assistance. J. Manuf. Mater. Process. 2025, 9, 126. https://doi.org/10.3390/jmmp9040126

9. Adaptive Aberration Correction for Laser Processes Improvement

激光工艺改进的自适应像差校正

https://www.mdpi.com/2504-4494/9/4/105

Corsaro, C.; Pelleriti, P.; Crupi, V.; Cosio, D.; Neri, F.; Fazio, E. Adaptive Aberration Correction for Laser Processes Improvement. J. Manuf. Mater. Process. 2025, 9, 105. https://doi.org/10.3390/jmmp9040105

10. Ultrashort Pulsed Laser Fabrication of High-Performance Polymer-Film-Based Moulds for Rapid Prototyping of Microfluidic Devices

用于微流控器件快速原型制作的高性能聚合物薄膜基模具的超短脉冲激光加工

https://www.mdpi.com/2504-4494/9/9/313

Haasbroek, P.D.; Wälty, M.; Grob, M.; Kristiansen, P.M. Ultrashort Pulsed Laser Fabrication of High-Performance Polymer-Film-Based Moulds for Rapid Prototyping of Microfluidic Devices. J. Manuf. Mater. Process. 2025, 9, 313. https://doi.org/10.3390/jmmp9090313

11. Thermal Characterization and Predictive Modeling of Thermo-Elastic Errors in Five-Axis Machining Centers Using Dynamic R-Test

利用动态R试验对五轴加工中心的热弹性误差进行热特性表征和预测建模

https://www.mdpi.com/2504-4494/9/9/293

Lee, T.H.; Klinkhammer, T.; Zontar, D.; Brecher, C. Thermal Characterization and Predictive Modeling of Thermo-Elastic Errors in Five-Axis Machining Centers Using Dynamic R-Test. J. Manuf. Mater. Process. 2025, 9, 293. https://doi.org/10.3390/jmmp9090293

12. Optimising Manufacturing Efficiency: A Data Analytics Solution for Machine Utilisation and Production Insights

优化制造效率：用于机器利用率和生产洞察的数据分析解决方案

https://www.mdpi.com/2504-4494/9/7/210

Seyedzadeh, S.; Christodoulou, V.; Turner, A.; Lotfian, S. Optimising Manufacturing Efficiency: A Data Analytics Solution for Machine Utilisation and Production Insights. J. Manuf. Mater. Process. 2025, 9, 210. https://doi.org/10.3390/jmmp9070210

13. Adaptive Torque Control for Process Optimization in Friction Stir Welding of Aluminum 6061-T6 Using a Horizontal 5-Axis CNC Machine

基于自适应扭矩控制的水平五轴数控机床在铝合金6061-T6摩擦搅拌焊接工艺优化中的应用

https://www.mdpi.com/2504-4494/9/7/232

Clark, A.; Ragai, I. Adaptive Torque Control for Process Optimization in Friction Stir Welding of Aluminum 6061-T6 Using a Horizontal 5-Axis CNC Machine. J. Manuf. Mater. Process. 2025, 9, 232. https://doi.org/10.3390/jmmp9070232

14. End-to-End Methodology for Predictive Maintenance Based on Fingerprint Routines and Anomaly Detection for Machine Tool Rotary Components

基于指纹程序和异常检测的机床旋转部件预测性维护端到端方法

https://www.mdpi.com/2504-4494/9/1/12

Arregi, A.; Barrutia, A.; Bediaga, I. End-to-End Methodology for Predictive Maintenance Based on Fingerprint Routines and Anomaly Detection for Machine Tool Rotary Components. J. Manuf. Mater. Process. 2025, 9, 12. https://doi.org/10.3390/jmmp9010012

15. Nanosecond Laser Cutting of Double-Coated Lithium Metal Anodes: Toward Scalable Electrode Manufacturing

纳秒激光切割双层涂覆锂金属负极：迈向可扩展电极制造

https://www.mdpi.com/2504-4494/9/8/275

Pour, M.M.; Schmidt, L.O.; Carlson, B.E.; Gruhn, H.; Ambrosy, G.; Bocksrocker, O.; Salvarrajan, V.; Kandula, M.W. Nanosecond Laser Cutting of Double-Coated Lithium Metal Anodes: Toward Scalable Electrode Manufacturing. J. Manuf. Mater. Process. 2025, 9, 275. https://doi.org/10.3390/jmmp9080275

期刊介绍

主编：Prof. Dr. Steven Y. Liang, Georgia Institute of Technology, USA

JMMP创刊于2017年，最新Impact Factor 4.0，Citescore 5.7，是一个国际性、经同行评审的开放获取期刊。期刊旨在发布与材料加工和制造相关领域中关于工艺、设备、系统和材料的最新前沿研究成果。目前，期刊已被ESCI (Web of Science)、Scopus、Ei Compendex等重要数据库收录。

2025 Impact Factor：4.0

2025 CiteScore：5.7

Time to First Decision：13.7 Days

Acceptance to Publication：2.9 Days