Advanced Monitoring, Modelling and Optimization for Precision Manufacturing & Equipment

Dear Colleagues,

Driven by the rapid development of aerospace, high-end equipment, new energy, nuclear power, precision instrumentation, and advanced manufacturing industries, high-precision processing of complex components, reliable forming of difficult-to-process materials, intelligent operation and maintenance of critical equipment, and green manufacturing control have become key scientific and engineering challenges. Conventional manufacturing systems, which mainly rely on empirical process parameters, offline inspection, and single-physics models, are increasingly insufficient for achieving high accuracy, high efficiency, high reliability, and intelligent decision-making under complex operating conditions.

Recent advances in intelligent sensing, fiber-optic sensing, quantum sensing, digital twins, machine learning, multi-physics modeling, mechatronic–hydraulic system optimization, and advanced control technologies have provided new opportunities for process monitoring, condition assessment, quality prediction, and closed-loop optimization in precision manufacturing and high-end equipment. In particular, the integration of electronic information technologies with manufacturing science is accelerating the transition from experience-driven manufacturing toward data–physics hybrid modeling, intelligent monitoring, and autonomous process optimization.

This Special Issue aims to collect high-quality original research articles, reviews, and industrial case studies on intelligent sensing, advanced measurement, digital twins, intelligent control, and high-end manufacturing equipment. The focus is on sensor development, data acquisition and processing, condition monitoring, fault diagnosis, quality prediction, control optimization, and engineering applications for precision manufacturing processes and critical equipment systems. We welcome contributions that promote interdisciplinary innovation among electronics, intelligent algorithms, advanced manufacturing, and high-end equipment engineering.

Topics of Interest

Topics of interest include, but are not limited to, the following:

• Intelligent sensing and condition monitoring in precision manufacturing, including force, vibration, acoustic emission, temperature, stress, morphology, tool wear, and surface integrity monitoring in precision machining, ultra-precision machining, micro/nano manufacturing, multi-energy-field machining, laser-assisted machining, and ultrasonic vibration-assisted machining.
• Sensors and electronic measurement technologies for high-end equipment, including fiber Bragg grating sensing, embedded sensing, flexible sensing, quantum sensing, micro/nano-scale measurement, multi-sensor fusion, edge data acquisition, and high-precision signal processing.
• Digital twins and data–physics hybrid modeling, including digital twins for manufacturing processes and equipment, machine tool digital twins, multi-physics modeling, data-driven modeling, physics-informed neural networks, surrogate modeling, real-time prediction, and model updating.
• Intelligent diagnosis, quality prediction, and reliability assessment, including equipment health assessment, fault diagnosis, tool wear prediction, machining error compensation, surface/subsurface damage identification, micro-defect detection, lifetime prediction, and reliability modeling.
• Advanced control and mechatronic–hydraulic system optimization, including servo control of precision equipment, modeling of coupled mechatronic–hydraulic systems, fluid-power system performance optimization, intelligent control algorithms, motion control, error compensation, and high-reliability actuator design.
• Intelligent manufacturing for advanced forming and material processing, including metal plastic forming, fine blanking, difficult-to-form materials, multi-scale modeling, damage and fracture prediction, process parameter optimization, and intelligent manufacturing system integration.
• Green manufacturing and high-efficiency system optimization, including energy consumption monitoring, low-carbon manufacturing, process efficiency optimization, intelligent scheduling, multi-objective optimization, and sustainability assessment of manufacturing systems.
• Industrial applications and engineering case studies, including intelligent sensing and control applications in aerospace, nuclear power equipment, new energy equipment, automotive manufacturing, precision instruments, optical components, biomedical devices, and high-end CNC equipment.

Prof. Dr. Zhicheng Xu
Dr. Wenting Wei
Dr. Sen Yin
Dr. Huiling Wang
Guest Editors

Manuscript Submission Information

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