Nanoparticle-enhanced high-stability sapphire pendulum processing system

Abstract

The application provides a high-stability sapphire pendulum piece processing system based on nano enhancement, through the synergistic effect of a central control unit and five function modules, a closed-loop feedback mechanism is formed for key processes such as nano material dispersion processing, laser etching and film deposition, through the uniformization processing of the nano composite slurry of the pretreatment module combined with the precise patterning etching process of the photon control module, the bonding strength of the substrate surface and the functional film layer is significantly improved; the multi-stage plating process of the plasma module cooperates with the real-time monitoring of the mechanical parameters of the feedback module, effectively inhibiting the uneven distribution of the internal stress of the film layer; the multi-physical field dynamic adjustment capability of the compensation module guarantees the parameter stability of each process under environmental disturbance, finally the obtained sapphire pendulum piece has excellent fatigue resistance and long-term working reliability, solves the film layer structure instability problem caused by the traditional step-by-step processing mode in the industry.

Description

Technical Field

[0001] This invention relates to the field of precision machining technology, and in particular to a high-stability sapphire wafer processing system based on nano-enhancement. Background Technology

[0002] In the field of precision instrument manufacturing, sapphire pendulums, as core components of highly stable inertial devices, have their long-term service performance directly affected by surface nano-enhancement technology. With the miniaturization and high reliability of microelectromechanical systems (MEMS), the traditional step-by-step manufacturing model for single-function devices is no longer sufficient. Especially in demanding applications such as aerospace, high-end medical equipment, and high-precision watches, existing technologies reveal significant shortcomings: instability of the film structure caused by environmental parameter disturbances and process chain disruptions. Due to the lack of coordinated control among multiple processes, such as pretreatment dispersion uniformity, laser etching positioning accuracy, and plasma coating crystallization quality, fluctuations in environmental temperature and humidity easily induce nanoparticle aggregation, leading to increased etching morphology distortion. Furthermore, uncontrollable changes in substrate stress during the coating stage can cause microcracks at the functional film-substrate interface, ultimately resulting in film peeling of the sapphire pendulum under alternating loads. Summary of the Invention

[0003] In view of this, the present invention provides a high-stability sapphire wafer processing system based on nano-enhancement to solve the technical defects existing in the prior art.

[0004] Specifically, the present invention provides a high-stability sapphire wafer processing system based on nano-enhancement, including a central control unit interconnected via industrial Ethernet and five functional modules, specifically including a pretreatment module for nanomaterial dispersion processing, a photon control module for laser etching, a plasma module for completing film deposition, a feedback module for mechanical detection, and a compensation module for maintaining environmental stability.

[0005] The nanocomposite slurry output from the preprocessing module is delivered to the photon control module for patterned etching. The etched substrate is coated with a functional film by the plasma module. The feedback module collects the mechanical parameters of the coated substrate in real time and feeds them back to the central control unit. The compensation module dynamically adjusts the operating parameters of other modules based on environmental monitoring data.

[0006] In some embodiments, the pretreatment module includes an ultrasonic crushing unit, a centrifugal grading unit, and a vacuum mixing unit. The ultrasonic crushing unit is equipped with a frequency-tunable transducer to cavitate the nano-suspension. The centrifugal grading unit achieves nanoparticle size screening through rotation speed control. The vacuum mixing unit combines the graded nanomaterials with the matrix material under negative pressure.

[0007] In some implementations, the photon control module includes a dual-beam interferometric positioning system and a picosecond laser etching system. The spatial light intensity distribution pattern generated by the interferometric positioning system guides the picosecond laser etching system to perform micron-level path planning, and the equipped CCD topography monitor corrects the laser focus offset in real time.

[0008] In some implementations, the laser focus offset correction employs a feedback algorithm based on the interference fringe distortion rate, where the distortion rate threshold is positively correlated with the substrate surface roughness.

[0009] In some embodiments, the plasma module includes a three-stage processing chamber, in which substrate surface activation, transition layer deposition, and functional layer coating are performed sequentially. The functional layer coating uses a rotating substrate in conjunction with an electron beam evaporation composite target to form a spiral coating trajectory.

[0010] In some implementations, the pitch of the spiral coating trajectory is dynamically adjusted according to the ratio of the substrate rotation speed to the evaporation rate, forming a functional film layer with adjustable thickness gradient.

[0011] In some implementations, the feedback module includes a micro-force excitation device and a laser vibration measuring device. The micro-force excitation device applies variable frequency mechanical vibration, and the resonant signal captured by the laser vibration measuring device is transformed by Fourier transform to generate a stress distribution spectrum.

[0012] In some embodiments, the bonding strength coefficient of the abrasion is calculated based on the stress distribution spectrum, wherein the formula for calculating the bonding strength coefficient of the film layer includes:

[0013]

[0014] in, This represents the elastic modulus at the i-th measuring point. Let be the resonant frequency offset at the i-th measurement point. It is the angular frequency at the i-th measurement point. Let J be the surface stress of the j-th region. It is the area of ​​the j-th region. Let be the radius of curvature of the j-th region. This represents the shear stress of the membrane layer during the k-th time period. Let be the strain rate in the k-th time interval. is the temperature coefficient for the k-th time period; the aforementioned parameters are derived from the raw data of the laser vibration measuring device and the material database of the central control unit.

[0015] In some implementations, the formula for calculating the angular frequency includes:

[0016]

[0017] in, This represents the load amplitude of the s-th excitation. Let be the feature length of the s-th excitation. It is the moment of inertia of the s-th excitation. Let be the material density of the s-th excitation. This represents the shear modulus at the u-th measurement point. Let u be the displacement of the measurement point u. The damping coefficient is measured at the u-th measurement point; the aforementioned parameters are derived from the operating condition records of the micro-force excitation device and the displacement measurement data of the laser vibration measuring device.

[0018] In some implementations, the compensation module includes a multi-physics coupling controller that controls environmental fluctuations within the process tolerance range through the synergistic effect of a temperature and humidity regulator, a vibration isolation platform, and an electromagnetic shielding layer.

[0019] At least one embodiment of this invention achieves full-process collaborative control of sapphire wafer manufacturing by constructing a modular processing system interconnected by industrial Ethernet. The synergistic effect of the central control unit and five functional modules enables a closed-loop feedback mechanism for key processes such as nanomaterial dispersion, laser etching, and film deposition. The nanocomposite slurry homogenization treatment of the pretreatment module, combined with the precision patterning etching process of the photon control module, significantly improves the bonding strength between the substrate surface and the functional film layer. The multi-stage plating process of the plasma module, combined with the real-time monitoring of mechanical parameters by the feedback module, effectively suppresses the uneven distribution of stress within the film layer. The multi-physics field dynamic adjustment capability of the compensation module ensures the parameter stability of each process under environmental disturbances. Ultimately, the obtained sapphire wafer possesses both excellent fatigue resistance and long-term operational reliability, solving the industry problem of film layer instability caused by traditional step-by-step processing mode. Attached Figure Description

[0020] Figure 1 This is a structural block diagram of a high-stability sapphire wafer processing system based on nano-enhancement provided by the present invention. Detailed Implementation

[0021] Many specific details are set forth in the following description to provide a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar extensions without departing from the spirit of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0022] The terminology used in one or more embodiments of this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of the one or more embodiments of this specification. The singular forms “a” and “the” as used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items. The modifications “a” and “a plurality” as used in this disclosure are illustrative and not restrictive, and those skilled in the art will understand that they should be understood as “one or more” unless the context clearly indicates otherwise.

[0023] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this specification, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0024] See Figure 1 , Figure 1 A structural block diagram of a high-stability sapphire wafer processing system based on nano-enhancement, according to some embodiments of this specification, is shown. This system includes a central control unit interconnected via an industrial Ethernet network and five functional modules: a pretreatment module for nanomaterial dispersion processing, a photon control module for laser etching, a plasma module for film deposition, a feedback module for mechanical detection, and a compensation module for maintaining environmental stability. The nanocomposite slurry output from the pretreatment module is delivered to the photon control module for patterned etching. The etched substrate is then coated with a functional film by the plasma module. The feedback module collects the mechanical parameters of the coated substrate in real time and feeds them back to the central control unit. The compensation module dynamically adjusts the operating parameters of other modules based on environmental monitoring data.

[0025] Nano-enhancement refers to technologies that improve material properties through nanomaterials. For example, using nanoparticle doping to enhance the mechanical stability of sapphire wafers can improve the strength of the matrix material with nanoscale fillers. High-stability sapphire wafers refer to sapphire wafers with excellent resistance to deformation. For instance, after special processing, they can be used in precision instruments, withstand high-frequency mechanical loads, and maintain dimensional stability over a long period. The central control unit refers to the system's core processor, such as an integrated PLC and AI algorithm used to coordinate various modules, analyze feedback data, and dynamically adjust process parameters. The pretreatment module refers to nanomaterial dispersion equipment, such as using ultrasonic oscillation and centrifugal mixing to prepare slurries, ensuring uniform distribution of nanoparticles in the solvent. The photon control module refers to a laser micromachining system that performs patterned etching using femtosecond laser pulses, achieving sub-micron level processing precision. The plasma module refers to a vacuum coating device, such as using magnetron sputtering to deposit functional films, forming wear-resistant / conductive coatings on the substrate surface. The feedback module refers to a mechanical sensor array that collects substrate parameters through multi-point strain measurement, enabling real-time monitoring of the stress distribution of the coating layer. Compensation modules can refer to environmental control systems, such as those that use temperature and humidity sensors linked to variable frequency fans to adjust parameters and offset the impact of environmental fluctuations on the process. Nanocomposite slurries can refer to suspensions containing nanoparticles, such as those prepared by mixing alumina nanowires with resin, used to enhance the material adhesion in the etched area. Functional films can refer to coatings with specific properties, achieved through multilayer metal / ceramic composite deposition, providing anti-reflective or electromagnetic shielding characteristics.

[0026] The present invention will be further described below through a detailed embodiment:

[0027] This embodiment demonstrates the entire process of the system processing sapphire wafers with a diameter of 50 mm and a thickness of 0.8 mm. The central control unit establishes a real-time data channel with each module via the industrial Ethernet protocol, sending a nano-alumina dispersion command to the preprocessing module in the initial stage. The ultrasonic crushing unit of the preprocessing module generates a cavitation effect at a specific frequency, causing the nanoparticle aggregates to disintegrate; the centrifugal grading unit achieves particle size screening through multi-stage speed adjustment, and the separated nanoparticles are compounded with an epoxy resin substrate in the vacuum mixing unit to form a viscosity-stable nanocomposite slurry.

[0028] Once the slurry reaches the preset rheological parameters, the system automatically activates the photon control module. A dual-beam interference system generates a spatially periodically adjustable laser interference field, and a picosecond laser etches a uniformly deep array of microgrooves on the substrate surface according to the interference pattern. An equipped optical monitoring system continuously captures the surface morphology, and when a local etching depth deviation is detected, a dynamic focus compensation mechanism adjusts the laser incident angle to ensure that the groove contour accuracy is controlled at the sub-micron level.

[0029] The patterned substrate is transferred to the plasma module by a robotic arm. In the primary processing chamber, argon plasma bombardment removes the surface adsorption layer; in the secondary chamber, magnetron sputtering forms a transition layer; finally, in the rotating deposition chamber, an electron beam evaporation source, in conjunction with the substrate's revolution, uniformly covers the functional material along a spiral trajectory. At this point, a micro-force excitation device in the feedback module applies swept-frequency vibration, and the resonant spectrum acquired by the laser vibration meter is transformed by a fast Fourier transform to generate a stress distribution map reflecting the film bonding state.

[0030] The central control unit analyzes stress data in real time. When a decrease in the bonding strength of the edge area is detected, it triggers the multi-physics adjustment of the compensation module. The temperature and humidity regulator controls the cavity dew point within a specific range, the electromagnetic shielding layer suppresses external interference, and the vibration isolation platform attenuates the mechanical vibration amplitude to an allowable threshold. After the system completes the processing of the first piece, it automatically optimizes the laser energy density and coating speed parameters for subsequent products, achieving closed-loop self-calibration of process parameters.

[0031] The beneficial effects of one of the embodiments in this specification include at least the following: By constructing a modular processing system interconnected by industrial Ethernet, the entire process of sapphire wafer manufacturing is achieved through collaborative control. The synergistic effect of the central control unit and the five functional modules enables a closed-loop feedback mechanism for key processes such as nanomaterial dispersion, laser etching, and film deposition. The nanocomposite slurry homogenization treatment of the pretreatment module, combined with the precision patterning etching process of the photon control module, significantly improves the bonding strength between the substrate surface and the functional film layer. The multi-stage plating process of the plasma module, combined with the real-time monitoring of mechanical parameters by the feedback module, effectively suppresses the uneven distribution of stress within the film layer. The multi-physics dynamic adjustment capability of the compensation module ensures the parameter stability of each process under environmental disturbances. Ultimately, the resulting sapphire wafer possesses both excellent fatigue resistance and long-term operational reliability, solving the industry problem of film layer instability caused by traditional step-by-step processing methods.

[0032] In some embodiments, the pretreatment module includes an ultrasonic crushing unit, a centrifugal grading unit, and a vacuum mixing unit. The ultrasonic crushing unit is equipped with a frequency-tunable transducer to cavitate the nano-suspension. The centrifugal grading unit achieves nanoparticle size screening through rotation speed control. The vacuum mixing unit combines the graded nanomaterials with the matrix material under negative pressure.

[0033] Ultrasonic fragmentation units can refer to devices that utilize the cavitation effect of ultrasound to disperse nanomaterials. For example, using a 20-40kHz tunable transducer to perform suspension treatment can effectively break up nanoagglomerates with millions of microjets per second. A tunable transducer can refer to a frequency-adjustable ultrasonic generator that produces mechanical waves of a specific frequency through the resonance of a piezoelectric ceramic sheet to adapt to the fragmentation requirements of solutions with different viscosities. Nano-suspensions can refer to colloidal dispersion systems containing nanoparticles. For example, zirconium oxide nanoparticles prepared with ethanol in a 1:9 ratio can serve as a carrier for functional enhancement phases. Cavitation treatment can refer to the process of generating microbubbles using ultrasound to break up, using transient local high temperatures of 5000℃ and high pressures of 1000 atm to disperse materials, effectively dissociating agglomerates bound by van der Waals forces.

[0034] Centrifugal grading units can refer to devices that separate particles based on density differences. For example, particle size screening can be performed by controlling the rotational speed from 3000 to 10000 rpm, which can classify nanoparticles into a range of 50-200 nm. Rotational speed control can refer to the centrifuge's precision speed regulation system, which is executed through closed-loop feedback between a variable frequency motor and an encoder, maintaining a rotational speed deviation of ≤5 rpm.

[0035] A vacuum mixing unit refers to a material mixing system operating under negative pressure. It uses a vacuum of 0.01-0.05 MPa to perform the composite mixing of nanomaterials and the matrix, avoiding residual air bubbles and improving material wettability. A negative pressure environment refers to operating conditions below atmospheric pressure, using a two-stage rotary vane pump to establish a vacuum level of 10^-2 Pa to suppress material oxidation reactions.

[0036] As a specific example:

[0037] When the pretreatment module is started, the ultrasonic crushing unit first places the ethanol suspension containing 5wt% nano-alumina in the titanium alloy treatment tank, and sets the transducer frequency to 28kHz and power to 800W for 15 minutes of cavitation treatment; the centrifugal classification unit then separates the treated suspension at 5000rpm for 20 minutes, and collects the middle layer liquid to obtain particles with a particle size of 80-150nm; the vacuum mixing unit puts the classified nanoparticles and epoxy resin E51 into the mixing tank at a ratio of 3:100, and mixes them at a stirring speed of 200rpm under a vacuum of 0.03MPa for 30 minutes, finally obtaining a nanocomposite slurry with a viscosity of 3500±200cP. The test shows that the dispersion uniformity of the nanoparticles reaches 98.5%.

[0038] Through multi-stage precision processing, efficient dispersion and precise composite of nanomaterials were achieved. Tunable frequency ultrasonic and gradient centrifugation technologies ensured the quality controllability of the nanophase. Vacuum mixing process significantly improved the interfacial bonding strength of materials, providing an ideal reinforcing material basis for subsequent functionalization of sapphire wafers. The entire solution has important application value in the fields of microelectronic packaging and optical devices.

[0039] In some implementations, the photon control module includes a dual-beam interferometric positioning system and a picosecond laser etching system. The spatial light intensity distribution pattern generated by the interferometric positioning system guides the picosecond laser etching system to perform micron-level path planning, and the equipped CCD topography monitor corrects the laser focus offset in real time.

[0040] A dual-beam interferometric positioning system can refer to a precision positioning device based on the principle of optical wave interference. For example, by splitting a laser beam into two coherent beams and then recombining them, it can generate an interference fringe positioning reference with an accuracy of λ / 20 (λ=632.8nm). A picosecond laser etching system can refer to laser processing equipment with a pulse width in the picosecond range. For example, using a laser beam with a wavelength of 1064nm and a pulse width of 10ps, it can achieve cold etching with a heat-affected zone of <1μm. A spatial light intensity distribution pattern can refer to the energy density distribution of the interference light field. Path planning is performed using Fourier optics principles to guide the laser focus to move according to a preset topology. Micrometer-level path planning can refer to a precision control strategy for the processing path. Continuous trajectories are generated through B-spline curve interpolation algorithms, ensuring smooth transitions and dimensional accuracy of the processed contour. A CCD topography monitoring instrument can refer to a high-resolution optical inspection device that uses a 5-megapixel CMOS sensor to acquire the three-dimensional topography of the surface in real time, capable of detecting focus shifts at the 0.1μm level. Laser focus offset refers to the defocus distance of the processing beam. It is dynamically compensated by an adaptive optics system to eliminate processing errors caused by vibration or thermal deformation.

[0041] As a concrete example:

[0042] During system operation, the dual-beam interferometric positioning system first generates a bright and dark stripe pattern with a period of 2μm. The photon control module then decomposes the processing path into 5000 discrete coordinate points based on this spatial light intensity distribution. The picosecond laser etching system sequentially strikes each coordinate point with a repetition frequency of 80MHz and a pulse energy of 0.5μJ. Simultaneously, a CCD topography monitor acquires 3D point cloud data of the processing area every 0.1 seconds. When a Z-axis focus shift exceeds ±0.3μm, the galvanometer angle is adjusted in real time via a piezoelectric ceramic actuator. Ultimately, a microstructure array with a depth of 15±0.2μm and a sidewall perpendicularity of 89.5° is formed on the sapphire surface, achieving a processing efficiency of 20mm. 2 / min.

[0043] Submicron-level processing precision is achieved through the synergistic effect of interferometric positioning and picosecond laser. Real-time CCD monitoring effectively overcomes the focus drift problem caused by thermal deformation. The dual-system linkage significantly improves the molding consistency of complex microstructures, making it particularly suitable for the mass production of optical diffraction elements and MEMS devices.

[0044] In some implementations, the laser focus offset correction employs a feedback algorithm based on the interference fringe distortion rate, where the distortion rate threshold is positively correlated with the substrate surface roughness.

[0045] Interference fringe distortion rate feedback algorithms can refer to real-time correction algorithms based on the principle of optical interference. For example, by analyzing the phase shift of interference fringes using fast Fourier transform, the distortion rate can be calculated with an accuracy of 0.1%, which can be used to dynamically adjust laser processing parameters. Substrate surface roughness refers to the microscopic morphological characteristics of the surface of the processed material. For instance, measuring the surface condition with Ra values ​​in the range of 0.01-1 μm using a white light interferometer can determine the sensitive threshold for triggering algorithm correction.

[0046] As a concrete example:

[0047] When the picosecond laser is processed on a silicon carbide substrate with Ra=0.2μm, the dual-beam interference system monitors in real time that the fringe distortion rate exceeds the preset threshold of 0.15%. The feedback algorithm triggers the adjustment of the three-axis linkage platform: first, the 3.2μm focus shift of the Z-axis is compensated by the piezoelectric ceramic driver, and the laser pulse frequency is reduced from 80MHz to 65MHz to reduce heat accumulation. The CCD topology monitor collects new surface topology data every 50ms. After three iterations of correction, the fringe distortion rate is stabilized within 0.08%. Finally, a microchannel structure with an aspect ratio of 5:1 and a sidewall roughness Ra<0.05μm is formed on the substrate surface.

[0048] By establishing a dynamic correlation mechanism between surface roughness and algorithm threshold, the adaptability of heterogeneous material processing is significantly improved. Real-time feedback of interference fringes ensures submicron-level processing consistency, making it particularly suitable for precision micromachining of composite materials in the aerospace field. At the same time, the adaptive nature of the algorithm effectively reduces the time cost of traditional manual parameter adjustment.

[0049] In some embodiments, the plasma module includes a three-stage processing chamber, in which substrate surface activation, transition layer deposition, and functional layer coating are performed sequentially. The functional layer coating uses a rotating substrate in conjunction with an electron beam evaporation composite target to form a spiral coating trajectory.

[0050] A tertiary processing chamber can refer to a segmented vacuum processing device, such as one that maintains 10°C using a differential pumping system. -4 Pa, 10 -3 Pa and 10 -2A gradient vacuum of Pa is used to achieve process isolation and continuous transport of materials during processing. Substrate surface activation refers to material pretreatment processes, such as bombarding the substrate surface with 500W RF plasma for 30 seconds, which can remove organic contaminants at a rate of 0.5nm / min, enhancing the adhesion of subsequent coatings. Transition layer deposition refers to interface optimization treatment, such as depositing a 50nm thick Cr transition layer between the substrate and the functional layer via magnetron sputtering, which can reduce the difference in thermal expansion coefficients by 60%, buffering interlayer stress. Functional layer deposition refers to the preparation of the core material layer, such as using an electron beam to evaporate a composite target at 15rpm with a rotating substrate, forming a functional thin film with a thickness uniformity of ±3%. A rotating substrate refers to a dynamic deposition carrier, such as using a servo motor-driven fixture to achieve stepless speed regulation from 0-100rpm, controlling the substrate azimuth angle with a positioning accuracy of 0.1°, used to generate a spiral deposition trajectory. Electron beam evaporation can refer to high-energy coating technology, such as using a 30kV electron beam to bombard a target material to locally generate a high temperature of 3000℃, achieving an evaporation rate of 1μm / min for refractory materials such as Al2O2. Composite targets can refer to multi-component evaporation sources, such as alloy targets composed of 87% Ti and 13% Al. By scanning different areas with an electron beam, the elemental ratio of the thin film can be precisely controlled. Spiral deposition trajectories can refer to three-dimensional deposition paths. For example, if the substrate moves synchronously along the Z-axis by 0.2mm per revolution, a spiral film with a pitch of 0.8mm can be formed, used to eliminate the shadowing effect of traditional coatings.

[0051] As a concrete example:

[0052] In the three-stage processing chamber, the silicon substrate is first sent to the first chamber and plasma activated for 5 minutes in an Ar / O2 mixed gas environment, reducing the surface contact angle from 72° to 8°. It is then transferred to the second chamber, where a Cr transition layer is magnetron sputtered at a pressure of 0.6 Pa, with the thickness controlled at 80±5 nm. Finally, it enters the third chamber, where the substrate is mounted on a rotating platform tilted at 15°. An electron beam scans the TiAl composite target at an incident angle of 20°, and the substrate rotates at 12 rpm and descends by 0.15 mm per revolution. After 120 minutes of deposition, a spiral functional layer with a total thickness of 3.2 μm and a compositional gradient is formed. The film-substrate adhesion is tested and meets the ASTM C633 standard of 45 MPa.

[0053] The segmented processing of the three-stage cavity achieves precise isolation of process parameters. The synergistic effect of rotating substrate and electron beam evaporation significantly improves the thickness uniformity of the film. The spiral deposition trajectory effectively eliminates the thickness gradient problem of traditional linear deposition, making it particularly suitable for the preparation of functional coatings on complex curved surfaces such as aero-engine blades. At the same time, the use of composite targets provides a new method for the composition control of multi-element alloy thin films.

[0054] In some implementations, the pitch of the spiral coating trajectory is dynamically adjusted according to the ratio of the substrate rotation speed to the evaporation rate, forming a functional film layer with adjustable thickness gradient.

[0055] The pitch can refer to the axial period of the helical structure. For example, by controlling the Z-axis movement with a servo motor encoder, the helical interval can be adjusted within the range of 0.1-5mm with an accuracy of 0.01mm, which is used to control the longitudinal coverage density of the film. The substrate rotation speed can refer to the angular velocity control parameter of the rotating platform. For example, by using a PID algorithm to adjust the brushless motor speed within the range of 5-50rpm, the set value can be maintained with a stability of ±0.2rpm, which can precisely affect the coating amount per revolution. The evaporation rate can refer to the speed of material vaporization and deposition. For example, by controlling the electron beam current intensity, the evaporation rate of TiO2 can be adjusted from 0.1-3nm / s, and the set value can be maintained with an accuracy of 5%, which is used to match the substrate motion parameters. The thickness gradient can refer to the longitudinal thickness variation characteristics of the film. For example, by dynamically adjusting the pitch, the film thickness can vary linearly along the axial direction by 0-15%, which can achieve directional control of the stress gradient.

[0056] As a concrete example:

[0057] When it is necessary to prepare an aerospace aluminum alloy protective film with axial stiffness gradient, the system first sets the target thickness gradient to 8% / mm. Based on the real-time evaporation rate of Al2O3 target material of 2.3nm / s, the optimal rotation speed of the substrate is automatically calculated to be 18rpm. During the deposition process, the actual film thickness is detected every 30 seconds by a quartz crystal microbalance. When a local thickness deviation of more than ±5% is detected, the control module adjusts the pitch from 0.25mm to 0.28mm and simultaneously increases the electron beam current by 8%. After three closed-loop adjustments, a gradient functional film layer with a total thickness of 2.7μm and an axial thickness change rate of 7.9% / mm is finally formed on a substrate with a diameter of 100mm. Nanoindentation test shows that its hardness gradually changes from 3.2GPa at the substrate end to 4.8GPa at the surface end.

[0058] By establishing a dynamic coupling mechanism between rotation speed and evaporation rate, precise programming control of film thickness gradient is achieved. This is particularly suitable for the preparation of functional coatings that require customized mechanical property distribution. The closed-loop feedback system effectively overcomes the problem of difficulty in controlling thickness uniformity in traditional coating processes, providing a new method for the development of gradient functional materials for irregularly shaped components in the aerospace field. At the same time, the adaptive adjustment strategy significantly improves the stability and repeatability of complex coating processes.

[0059] In some implementations, the feedback module includes a micro-force excitation device and a laser vibration measuring device. The micro-force excitation device applies variable frequency mechanical vibration, and the resonant signal captured by the laser vibration measuring device is transformed by Fourier transform to generate a stress distribution spectrum.

[0060] Micro-force excitation devices can refer to precision vibration generators, such as those using piezoelectric ceramic arrays to generate adjustable frequency excitation forces from 0.1 to 100 N, controlling vibration amplitude with a resolution of 0.01 N, and inducing characteristic resonances in the measured object. Laser vibration measurement devices can refer to non-contact vibration sensors, such as those using the Doppler effect of a 635 nm laser to measure amplitudes in the 0.1 nm to 10 μm range, capturing surface vibration waveforms at a 100 kHz sampling rate. Variable frequency mechanical vibration can refer to frequency-adjustable mechanical excitation, such as generating 5-50 kHz sweep vibrations using a DDS signal source, adjusting the excitation frequency in 1 Hz steps to excite multiple resonant modes in materials. Resonant signals can refer to the dynamic response characteristics of a structure, such as vibration signals within a -3 dB bandwidth acquired by an accelerometer, reflecting frequency shifts in stress concentration areas within the material. Stress distribution maps can refer to the visualization results of the material's mechanical state, such as converting frequency shifts into RGB color levels using interpolation algorithms, displaying stress gradient distributions with a 50 μm pixel resolution.

[0061] As a concrete example:

[0062] In the inspection of aerospace titanium alloy components, a micro-force excitation device first applies linear sweep vibration from 1kHz to 30kHz (sweep speed 200Hz / s), while a laser vibration measuring device records the surface vibration response at a sampling rate of 150kHz. After the acquired time-domain signal is transformed by 4096-point FFT, abnormal frequency shifts (Δf=±35Hz) are identified at 12.7kHz and 18.3kHz. Through a pre-calibrated stress-frequency shift relationship model, the system generates a stress distribution map with a resolution of 0.1mm×0.1mm, showing stress concentration in the R-corner region of the component (maximum equivalent stress reaches 580MPa). Based on this, the subsequent laser strengthening process parameters are automatically adjusted: the scanning speed is reduced from 8mm / s to 5mm / s, and the pulse energy is increased from 12J to 15J. After three iterations, the residual stress gradient is reduced to below 200MPa.

[0063] By combining frequency conversion excitation and laser vibration measurement, rapid and visual diagnosis of the internal stress state of materials is achieved. The non-contact measurement method avoids secondary damage to precision workpieces, and frequency domain signal processing technology significantly improves the sensitivity and spatial resolution of stress detection. It is particularly suitable for online quality monitoring of key components in the aerospace field. At the same time, the closed-loop feedback mechanism provides a reliable basis for intelligent optimization of process parameters, greatly reducing the cost losses caused by traditional destructive testing.

[0064] In some embodiments, the bonding strength coefficient of the abrasion is calculated based on the stress distribution spectrum, wherein the formula for calculating the bonding strength coefficient of the film layer includes:

[0065]

[0066] in, This represents the elastic modulus at the i-th measuring point. Let be the resonant frequency offset at the i-th measurement point. It is the angular frequency at the i-th measurement point. Let J be the surface stress of the j-th region. It is the area of ​​the j-th region. Let be the radius of curvature of the j-th region. This represents the shear stress of the membrane layer during the k-th time period. Let be the strain rate in the k-th time interval. is the temperature coefficient for the k-th time period; the aforementioned parameters are derived from the raw data of the laser vibration measuring device and the material database of the central control unit.

[0067] The film bonding strength coefficient can be a quantitative indicator of coating adhesion. For example, it can be calculated as a dimensionless value in the range of 0-1 using a multi-parameter coupling formula, which can assess the interfacial bonding state with an accuracy of 0.001 and is used to predict the service life of the coating. The elastic modulus can be a material stiffness parameter. For example, it can be measured using a nanoindenter to obtain a measured value in the range of 1-500 GPa, which can be matched to a material database with an error accuracy of 5% and can reflect the deformation resistance of local areas. The resonant frequency offset can be a characteristic frequency change value. For example, it can be a frequency shift within the range of ±500 Hz detected by laser vibrometer, which can identify stress concentration areas with a resolution of 0.1 Hz and is used to calculate energy dissipation. The angular frequency can be a circular frequency of a vibration system. For example, it can be a parameter of 10-100 krad / s determined based on the peak value of the FFT spectrum, which can be accurately calibrated in steps of 1 rad / s and can be used to convert time-domain vibration energy. Surface stress can refer to the stress within the surface layer of a thin film. For example, stress values ​​in the range of -2 GPa to +2 GPa can be measured using X-ray diffraction, allowing mapping of the stress field distribution with an accuracy of 50 MPa. Region area can refer to the projected size of a characteristic region, such as identifying areas from 0.01 to 10 mm through image processing. 2 The analysis area can be as small as 0.001 mm. 2 Resolution is used for mesh generation and weighted calculations. Radius of curvature can refer to surface geometric curvature parameters; for example, curvature values ​​measured in the 0.1-100 mm range using a white light interferometer can compensate for geometric effects with an accuracy of 0.01 mm. Shear stress can refer to interfacial shear loads; for example, dynamic stress in the 10-1000 MPa range can be collected using a micro-force sensor, allowing time-series data to be recorded at a sampling rate of 1 MPa. Strain rate can refer to deformation rate parameters; for example, strain rate measured by a high-speed camera... -6 Up to 10 -3 s -1The rate of change within a certain range can reflect creep characteristics with a relative error of 5%. The temperature coefficient can refer to thermodynamic influencing factors; for example, normalized parameters obtained from an infrared thermal imager within the range of 300-800K can compensate for thermal stress effects with an accuracy of 1K.

[0068] As a concrete example:

[0069] When evaluating the bonding strength of a coating, the system first obtains data from 256 measurement points within an 8mm diameter area using a laser vibration meter. Significant frequency shifts (maximum Δf = 127Hz) are identified at 23.7kHz and 41.2kHz. Simultaneously, the elastic modulus E = 210GPa of the YSZ coating is obtained from the material database. The central control unit divides the measurement points into 16 analysis regions. Combining the radius of curvature R = 15.3mm measured by a white light interferometer and the surface stress σ = 1.2GPa measured by an X-ray stress analyzer, weighted parameters for each region are calculated using formulas. Finally, considering the blade operating temperature of 650℃ (T... k Under the condition of η = 0.87, η = 0.732 ± 0.008 is calculated. Based on this, it is determined that the coating meets the design requirement of ≥ 0.7. It is predicted that the residual strength retention rate after 2000 thermal cycles is 82.5%. The system automatically generates a "pass" test report and stores the complete parameter log.

[0070] By establishing a coupled calculation model with multiple physical parameters, a precise quantitative assessment of coating interface strength is achieved. This model comprehensively considers multiple influencing factors such as mechanical vibration, geometric characteristics, and thermodynamic environment, significantly improving the reliability of traditional single-parameter evaluation methods. It is particularly suitable for life prediction and quality control of coatings for key components in the aerospace field. The intelligent parameter fusion algorithm effectively reduces the subjective bias of manual interpretation, while the standardized coefficient output provides a unified benchmark for horizontal comparison of different process systems and provides data support for the optimized design of coating materials.

[0071] In some implementations, the formula for calculating the angular frequency includes:

[0072]

[0073] in, This represents the load amplitude of the s-th excitation. Let be the feature length of the s-th excitation. It is the moment of inertia of the s-th excitation. Let be the material density of the s-th excitation. This represents the shear modulus at the u-th measurement point. Let u be the displacement of the measurement point u. The damping coefficient is measured at the u-th measurement point; the aforementioned parameters are derived from the operating condition records of the micro-force excitation device and the displacement measurement data of the laser vibration measuring device.

[0074] Load amplitude F s It can refer to the magnitude of the excitation force. For example, by acquiring dynamic loads in the range of 0.1-100N using a force sensor, the peak impact value can be recorded with a resolution of 0.01N, which can characterize the intensity of the external excitation. Characteristic length L s It can refer to the characteristic dimensions of a structure, such as geometric parameters obtained in the range of 1-100mm through 3D scanning, which can describe the vibration transmission path with an accuracy of 0.01mm and be used to calculate bending moment effects. Moment of inertia I s It can refer to the bending resistance of the cross section, for example, by extracting 10-10000mm from a CAD model. 4 The second moment of the range can be expressed in 1 mm. 4 The step size matches the actual structure, reflecting the stiffness distribution. Material density ρ s It can refer to mass per unit volume, such as 1-20 g / cm³ obtained by combining an ultrasonic thickness gauge with an electronic balance. 3 The parameters, which can provide quality parameters with a relative error of 0.1%, include shear modulus G. u This can refer to a material's shear resistance, such as a modulus value in the range of 10-200 GPa obtained through torsion testing, which can correspond to the strain state with an error accuracy of 5%. Displacement δ u This can refer to the vibration amplitude. For example, a laser interferometer can measure displacements in the range of 0.1 nm to 1 mm, capturing minute vibrations with a resolution of 0.1 nm. Damping coefficient D u It can refer to energy dissipation parameters, such as dimensionless values ​​in the range of 0.001-0.1 determined by the half-power bandwidth method, which can evaluate vibration reduction performance with an accuracy of 0.0001.

[0075] As a concrete example:

[0076] In a vibration test, a micro-force excitation device sequentially applied three-stage excitations of 5 N@50 Hz, 8 N@80 Hz, and 12 N@120 Hz, while a synchronous laser vibration measuring device collected the displacement (δ) at the suspension support point. u =0.12mm); the system automatically extracts the feature length L from the CAD model of the component. s =35.2mm and moment of inertia I s =285mm 4 Based on the aluminum alloy density ρs = 2.81 g / cm³ provided by the materials database, 3 and shear modulus G u =26GPa; The damping coefficient D at each measuring point was obtained through real-time calculation. u =0.032±0.002, and finally, substituting into the cube root formula, we output ω.i =47.8krad / s, with a deviation of less than 3% from the theoretical value. This data is used to optimize the resonant frequency design of the chassis structure, thereby improving the vibration transmission loss of the new suspension by 15dB in the 80-120Hz frequency band.

[0077] By establishing a multi-dimensional parameter cube root coupled model, the precise quantitative characterization of structural vibration characteristics was achieved. The innovative frequency calculation method effectively integrates excitation conditions and material constitutive relations, significantly improving the reliability of traditional single-point testing methods. It is particularly suitable for dynamic characteristic analysis and optimization design of complex mechanical systems. The parameterized calculation process provides a unified benchmark for performance prediction under different working conditions. At the same time, the mutual verification between high-precision measured data and simulation models provides solid experimental support for product iterative development.

[0078] In some implementations, the compensation module includes a multi-physics coupling controller that controls environmental fluctuations within the process tolerance range through the synergistic effect of a temperature and humidity regulator, a vibration isolation platform, and an electromagnetic shielding layer.

[0079] Multi-physics coupling controllers can refer to cross-domain parameter coordination devices, such as those using fuzzy PID algorithms to synchronously regulate temperature, vibration, and electromagnetic channels, capable of processing sensor signals with 16-bit ADC precision, and eliminating cross-interference between different physical fields. Temperature and humidity regulators can refer to climate environment control devices, such as those using semiconductor cooling chips and ultrasonic humidifiers to control the working area temperature within the range of 23±0.5℃ and humidity within the range of 45±3%RH, used to suppress material thermal deformation. Vibration isolation platforms can refer to mechanical vibration damping systems, such as those using a combination of air springs and magnetorheological dampers, capable of reducing the ground vibration transmissibility to below 0.5%, isolating mechanical disturbances in the 5-500Hz range. Electromagnetic shielding layers can refer to electromagnetic interference protection structures, such as composite shields composed of three layers of copper mesh and ferrite, capable of attenuating electromagnetic noise in the 10kHz-10GHz frequency band by more than 60dB, used to protect sensitive electronic devices. Environmental fluctuations refer to random disturbances in process parameters, such as temperature drift, foundation vibration, and electromagnetic pulses. Their amplitude typically does not exceed ±15% of the nominal value and directly affects process consistency. Process tolerance refers to the allowable range of parameter deviations. For example, precision coating requires temperature fluctuations ≤ ±1℃, vibration acceleration ≤ 0.01g, and electromagnetic field strength ≤ 1V / m; these are critical thresholds for ensuring product quality.

[0080] As a concrete example:

[0081] In the nanolithography equipment, when the environmental sensor detects a sudden temperature rise of 0.8℃ (exceeding the process tolerance of ±0.5℃), the multi-physics coupling controller initiates a three-stage response: first, the thermoelectric cooler of the temperature and humidity regulator cools down at a rate of 5℃ / min; simultaneously, the vibration isolation platform switches to high-frequency suppression mode (damping coefficient increases from 0.3 to 0.7), and the active cancellation circuit of the electromagnetic shielding layer generates a reverse magnetic field; within 23 seconds, the working chamber environment is restored to a stable state of 23.2℃ / 0.003g / 0.8V / m, ensuring that the 100nm linewidth chip being exposed does not exhibit development defects. The linewidth error is controlled within ±2nm, and the yield rate maintains the design standard of 99.97%.

[0082] Through a multi-physics field collaborative compensation mechanism, the environmental sensitivity problem in precision manufacturing is effectively overcome. The triple protection architecture significantly improves the anti-interference capability of the process system, making it particularly suitable for advanced manufacturing fields such as semiconductors and optical devices that are sensitive to environmental fluctuations. The intelligent rapid response strategy reduces the lag of traditional manual intervention by two orders of magnitude. At the same time, the modular design makes it easy to flexibly configure compensation parameters according to different process requirements, providing a reliable environmental protection foundation for high-yield mass production.

[0083] The preferred embodiments disclosed above are merely illustrative of this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this invention. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A high-stability sapphire wafer processing system based on nano-reinforcement, characterized in that, It includes a central control unit interconnected via industrial Ethernet and five functional modules, specifically including a pretreatment module for nanomaterial dispersion, a photon control module for laser etching, a plasma module for coating deposition, a feedback module for mechanical detection, and a compensation module for maintaining environmental stability. The nanocomposite slurry output by the pretreatment module is delivered to the photon control module for patterned etching. The etched substrate is coated with a functional film by the plasma module. The feedback module collects the mechanical parameters of the coated substrate in real time and feeds them back to the central control unit. The compensation module dynamically adjusts the operating parameters of other modules based on environmental monitoring data. The pretreatment module includes an ultrasonic crushing unit, a centrifugal grading unit, and a vacuum mixing unit. The ultrasonic crushing unit is equipped with a frequency-adjustable transducer to perform cavitation treatment on the nano suspension. The centrifugal grading unit achieves nanoparticle size screening through rotation speed control. The vacuum mixing unit combines the graded nanomaterials with the matrix material under negative pressure. The photon control module includes a dual-beam interferometric positioning system and a picosecond laser etching system. The spatial light intensity distribution pattern generated by the interferometric positioning system guides the picosecond laser etching system to perform micron-level path planning, and the equipped CCD topography monitor corrects the laser focus offset in real time. The laser focus offset correction adopts a feedback algorithm based on the interference fringe distortion rate, and the distortion rate threshold is positively correlated with the substrate surface roughness. The plasma module includes a three-stage processing chamber, which sequentially performs substrate surface activation, transition layer deposition, and functional layer coating. The functional layer coating uses a rotating substrate in conjunction with an electron beam evaporation composite target to form a spiral coating trajectory. The feedback module includes a micro-force excitation device and a laser vibration measuring device. The micro-force excitation device applies variable frequency mechanical vibration, and the resonant signal captured by the laser vibration measuring device is transformed by Fourier transform to generate a stress distribution spectrum. The compensation module includes a multi-physics coupling controller, which controls environmental fluctuations within the process tolerance range through the synergistic effect of a temperature and humidity regulator, a vibration isolation platform, and an electromagnetic shielding layer.

2. The system according to claim 1, characterized in that, The pitch of the spiral coating trajectory is dynamically adjusted according to the ratio of the substrate rotation speed to the evaporation rate, forming a functional film layer with adjustable thickness gradient.

3. The system according to claim 1, characterized in that, The bonding strength coefficient of the membrane layer is calculated based on the stress distribution spectrum, wherein the formula for calculating the bonding strength coefficient of the membrane layer includes: in, This represents the elastic modulus at the i-th measuring point. Let be the resonant frequency offset at the i-th measurement point. It is the angular frequency at the i-th measurement point. Let J be the surface stress of the j-th region. It is the area of ​​the j-th region. Let be the radius of curvature of the j-th region. This represents the shear stress of the membrane layer during the k-th time period. Let be the strain rate in the k-th time interval. The temperature coefficient for the k-th time period is given; the aforementioned parameters are derived from the raw data of the laser vibration measuring device and the material database of the central control unit.

4. The system according to claim 3, characterized in that, The formula used to calculate the angular frequency includes: in, This represents the load amplitude of the s-th excitation. Let be the feature length of the s-th excitation. It is the moment of inertia of the s-th excitation. Let be the material density of the s-th excitation. This represents the shear modulus at the u-th measurement point. Let u be the displacement of the measurement point u. The damping coefficient at the u-th measurement point is given; the aforementioned parameters are derived from the operating condition records of the micro-force excitation device and the displacement measurement data of the laser vibration measuring device.

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