Towards Ultra-Precision Manufacturing: Advancements and Future Trends in Energy Field-Assisted Jet Machining
Abstract
1. Introduction
2. Challenges and Mechanisms of Multi-Energy Field-Assisted Jet Machining Technology
2.1. Technical Challenges in High-Performance Manufacturing with Jet Machining
2.1.1. Limitations in Material Performance and Machinability
2.1.2. Limitations in Workpiece Microstructure and Machining Precision
2.1.3. Limitations in Workpiece Configuration and Tool Adaptability
2.1.4. Limitations in Surface Integrity and Machining Efficiency
2.2. Synergistic Reinforcement Mechanisms of Mechanical and Specialized Energy Fields
2.2.1. Laser-Mechanical Synergistic Reinforcement
2.2.2. Acoustic-Mechanical Synergistic Reinforcement
2.2.3. Magnetic-Mechanical Synergistic Reinforcement
3. Laser-Assisted Jet Machining Technology
3.1. Process Principle

3.2. Typical Applications
4. Ultrasonic-Assisted Jet Machining Technology
4.1. Process Principle
4.2. Typical Applications
5. Magnetic Field-Assisted Jet Machining Technology
5.1. Process Principle
5.2. Typical Applications
6. Conclusions and Outlook
6.1. Conclusions
6.2. Outlook
- (1)
- Mechanisms of Multi-Physics Non-linear Coupling and Cross-Scale Modeling. Future research prioritizes the non-linear synergistic mechanisms between heterogeneous energy fields. Cross-scale modeling frameworks bridging Molecular Dynamics (MD) and Computational Fluid Dynamics (CFD) capture atomic-level material removal behaviors within complex thermo-mechanical-acoustic-magnetic environments. A key focus lies in high-fidelity simulations of cavitation bubble collapse dynamics under magnetic constraints and the resulting micro-jet impact intensity. Furthermore, the energy matching windows for sequential coupling—such as “nanosecond laser thermal softening followed by magnetorheological jet polishing”—are quantitatively defined to optimize energy efficiency and surface integrity.
- (2)
- AI-Driven Process Architectures and Digital Twin Systems. To address the stochastic nature of jet-material interactions, research shifts towards data-driven process intelligence. This involves integrating Deep Reinforcement Learning (DRL) with multi-modal sensing—such as Acoustic Emission (AE) and high-speed shadowgraphy—to establish real-time feedback loops. Digital Twin models enable the prediction of material damage response and the closed-loop modulation of laser power, ultrasonic frequency, and jet pressure. This approach is instrumental for achieving consistent machining quality in heterogeneous materials like Ceramic Matrix Composites (CMCs) and Gallium Nitride (GaN).
- (3)
- Integration of High-Reliability Equipment with In-Situ Metrology. The engineering focus involves developing compact, coaxial integrated nozzle systems for stable operation under extreme conditions. Technical developments address the water-resistant coupling of high-power laser paths and the fatigue mitigation of ultrasonic transducers under high-pressure water-hammer effects. Next-generation equipment embeds in-situ optical sensors (e.g., white-light interferometry or confocal microscopy) to allow for “machining-while-measuring.” This integration minimizes repositioning errors and maintains the structural integrity of core components throughout extended high-frequency service.
- (4)
- Expansion into “Shape-Performance Integrated” Manufacturing for Extreme Applications. The research paradigm shifts from basic geometric shaping toward “Geometry-Property Synergistic” manufacturing. In the semiconductor sector, applications include sub-nanometer thinning and dicing of 4H-SiC and diamond substrates to achieve zero subsurface damage (SSD) and atomic-scale flatness. Within aerospace engineering, the technology enables the fabrication of complex cooling holes and bionic drag-reduction textures on turbine blades, while facilitating the tailoring of surface residual stress fields to improve fatigue life. This technology is positioned as a strategic platform for the high-integrity manufacturing of critical components operating under extreme thermal and mechanical loads.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Materials | Research Topics | Hybrid Processes | Main Findings | Key Open Issues | References |
|---|---|---|---|---|---|
| Silicon Nitride | Laser-assisted waterjet micro-milling | Laser-waterjet | Enables nearly damage-free micro-milling by laser softening and waterjet cooling. | Inconsistent groove depth due to waterjet turbulence; unclear removal mechanism. | [61] |
| Zr-based Amorphous Alloy | Non-crystallization micromachining | Laser-waterjet | Achieves crystallization-free micromachining; waterjet prevents oxidation and crystallization. | Risk of local crystallization at high energy; trade-off between efficiency and quality. | [70] |
| SiC | Coaxial gas-assisted laser waterjet machining | Laser-waterjet-Gas | Gas stabilizes the waterjet, enabling high-aspect-ratio, damage-free cutting. | Low efficiency; incomplete water removal in deep grooves; interfacial effects unknown. | [71] |
| Silicon | Laser waterjet dicing | Laser-waterjet | Reduces thermal damage; waterjet efficiently removes molten material. | Mechanism of melt ejection; control of laser self-focusing. | [18] |
| Silicon Wafer | Synergistic sidewall post-processing | Laser-Abrasive | Combined method reduces sidewall roughness via laser-enhanced conductivity and cavitation. | Optimization of multi-parameter synergy for higher efficiency and precision. | [72] |
| Single-crystal Silicon | Hybrid laser-waterj et ablation | Laser-waterjet | Enables material removal below melting point, minimizing thermal damage. | Unclear laser-waterjet coupling mechanism; need for broader material application. | [67] |
| Al alloy 2024-T3 | Laser-induced plasma electrolyte jet machining | Laser Plasma-Electrolyte Jet | Synergy of laser and electrolyte jet significantly increases surface hardness via grain refinement. | Unclear plasma-jet coupling mechanism; need to extend to other metals. | [73] |
| Ti-6Al-4V | Laser ablation under flowing water layer | waterjet-Underwater Laser | Produces narrow, deep grooves with minimal heat-affected zone under a thin water layer. | Need to optimize water flow to avoid laser blocking; extend to other materials. | [59] |
| Materials | Research Topics | Hybrid Processes | Main Findings | Key Open Issues | References |
|---|---|---|---|---|---|
| AA6060 | Acoustic Chamber Length on Erosion | Ultrasonic Pulsed waterjet | A hyperbolic relationship was observed between erosion depth, chamber length and standoff distance. | Synergistic parameter selection is needed for specific processing objectives. | [77] |
| AA7075-T6 | Surface Integrity | Ultrasonic Impact-Special Pulsed waterjet | Surface roughness, microhardness and residual compressive stress were improved; single process failed to optimize all properties. | Synergistic multi-technology surface modification requires development. | [78] |
| AISI 304 | Surface Treatment Hardening | Ultrasonically Generated Pulsed waterjet | Tensile residual stress was converted to compressive, and treated zone hardness was increased. | Potential as a novel surface treatment was demonstrated. | [79] |
| Quartz Glass | Material Removal Surface Quality | Ultrasonic Vibration-Assisted waterjet | Ultrasonic vibration improved material removal rate and erosion depth; pressure and amplitude were key factors. | Mechanism of sub-surface damage suppression under high-frequency impact. | [80] |
| AISI 304 Welded Joint | Stress, Hardness, Roughness & Microstructure | Ultrasonic Pulsed waterjet Peening | Residual stress and roughness increased; subsurface hardness improved, and plastic deformation was confirmed. | Suitable for welded structures needing improved fatigue and corrosion resistance. | [81] |
| AA7075 | Residual Stress Prediction Microstructure | Ultrasonic Impact-waterjet | A validated residual stress prediction model was established. | Model generalization for complex geometries beyond standard planar coupons. | [82] |
| Pure Al, Al-Cu Alloy | Stress, Strength Corrosion Resistance | SFN-MFC | Central erosion of pure Al was suppressed; roughness reduced, and oxide film formed on Al-Cu alloy. | Quantitative correlation between micro-texture parameters and long-term osteoblast adhesion. | [83] |
| Ti-6Al-4V | Surface Morphology for Osseointegration | Ultrasonic Pulsed waterjet (20/40 kHz) | Surface topography was superior to traditional techniques for bio-interaction. | Suitable as a low-temperature surface treatment for implant performance improvement. | [84] |
| Glass | Microchannel Machining | Ultrasonic Vibration-Assisted Abrasive waterjet | Material removal rate and channel size improved; wall inclination reduced, bottom quality unchanged. | Suitable for efficient micro-machining with guaranteed surface quality. | [85] |
| K9 Glass | Micro-Hole Machining Morphology | Ultrasonic Vibration-Assisted Abrasive waterjet | Material removal rate and bottom morphology improved; W-shaped bottom was eliminated. | Mechanism applicable for improving ultrasonic abrasive waterjet polishing uniformity. | [86] |
| Materials | Research Topics | Hybrid Processes | Main Findings | Key Open Issues | References |
|---|---|---|---|---|---|
| Flexible Magnetic Abrasive (Elastomer-containing) | Flexible Magnetic Abrasive Jet Machining Properties | Magnetic Field-Assisted Jet | Magnetic field constrained jet direction, improved machining uniformity and surface roughness through sliding friction. | Complex geometry machining performance requires verification. | [98] |
| Magnetorheological Polishing Fluid, K9 Glass | Eccentric Rotational Vertical Jet Removal | Magnetic Field-Assisted Jet | Ideal Gaussian-like removal function was achieved at 0.8× characteristic length eccentricity. | Eccentric model applicability and path planning for complex surfaces need research. | [99] |
| Magnetorheological Microjet Fluid, 5052 Al Alloy | Material Removal: Simulation Process Optimization | Magnetic Field-Assisted Jet | A reliable CFD model was optimized to reduce Ra from 355 nm to 253 nm. | Model generalization for diverse materials/fluids needs further study. | [100] |
| Magnetorheological Jet Polishing Fluid | Complex Optical Element Deterministic Polishing | Magnetic Field-Assisted Jet | Nanoscale precision was achieved, with insensitivity to nozzle-workpiece distance. | Large/high-steepness free-form surface polishing efficiency needs improvement. | [101] |
| Magnetic Abrasive (Magnetic/Abrasive Grains) | Magnetic-Assisted Precision Machining Progress Review | Multi-Auxiliary Energy Combined Machining | Magnetic-assisted machining reaches hard-to-process areas but faces accuracy challenges. | Intelligent adaptive systems for complex parts are lacking. | [102] |
| SPION Magnetic Nanoabrasive, BK-7 Glass | Intelligent Recyclable Nanoabrasive Development | Nano Magnetic-Abrasive Integration | High-magnetization recyclable nanoabrasive reduced Ra from 411 nm to 22.3 nm. | Abrasive long-term recycling, magnetic loss and economy need study. | [103] |
| Comparison Criteria | Conventional WJ/AWJ | Laser-Assisted Jet Machining (LAJM) | Ultrasonic-Assisted Jet Machining (UAJM) | Magnetic-Assisted Jet Machining (MAJM/MJP) |
|---|---|---|---|---|
| Energy Field Mechanism | Mechanical kinetic impact | Photothermal preheating + Mechanical erosion | Acoustic cavitation + Periodic pulsation | Magnetic confinement + Gradient focusing |
| Key Physical Effects | Brittle fracture/Micro-cutting | Thermal softening & shear strength reduction | Micro-jets from cavitation & enhanced particle momentum | Magnetorheological effect & trajectory orientation |
| Material Removal Rate (MRR) | • ≤2 mm3/s (General) [5] • 345.8 mm3/min (Ti-6Al-4V) [5] • 150 mm3/min (Ni-composite) [6] | • A significant increase occurs at critical resolved shear stress < 5 MPa (1650 K) [27] | • Up to +82% (Ceramics) [35] • ~+20% (CFRP drilling) [76] | • 53.051 mm3/min (K9 glass) [6] • 1.974 μm/h (Sapphire, UAMP) [94] |
| Surface Roughness (Ra) | • 1–5 μm [6] • 0.537 μm (Optimized, Ti6Al4V) [108] | • Greatly reduced (smoother surface finish) [27] | • 0.75 μm → 0.32 μm (CFRP hole) [86] | • 4.86 nm (K9 glass) [24] • ~0.442 nm (Sapphire) [94] • 355 → 253 nm (Sa, Al alloy) [100] |
| Technical Capabilities & Advantages | • No HAZ [5] • Thickness: ≤ 304.8 mm [5] | • Effective for difficult-to-cut hard-brittle materials | • Stable machining of deep holes and narrow grooves | • Minimal damage to non-machining zones • High focusing |
| Technical Limitations | Trade-off between efficiency and precision | Potential secondary thermal damage | Complex transducer integration; Impedance matching issues | Limited to magnetic abrasives; Constraint in magnetic field design |
| Main Applications | General metals, composites | Ceramics, quartz glass, high-strength alloys | Precision hole drilling, microfluidic chips | Ultra-precision polishing, high-aspect-ratio microstructures |
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He, Y.; Chen, T.; Man, X.; Su, T. Towards Ultra-Precision Manufacturing: Advancements and Future Trends in Energy Field-Assisted Jet Machining. Micromachines 2026, 17, 415. https://doi.org/10.3390/mi17040415
He Y, Chen T, Man X, Su T. Towards Ultra-Precision Manufacturing: Advancements and Future Trends in Energy Field-Assisted Jet Machining. Micromachines. 2026; 17(4):415. https://doi.org/10.3390/mi17040415
Chicago/Turabian StyleHe, Yongzhen, Ting’an Chen, Xinhua Man, and Tonglu Su. 2026. "Towards Ultra-Precision Manufacturing: Advancements and Future Trends in Energy Field-Assisted Jet Machining" Micromachines 17, no. 4: 415. https://doi.org/10.3390/mi17040415
APA StyleHe, Y., Chen, T., Man, X., & Su, T. (2026). Towards Ultra-Precision Manufacturing: Advancements and Future Trends in Energy Field-Assisted Jet Machining. Micromachines, 17(4), 415. https://doi.org/10.3390/mi17040415

