Personalized ear mold 3D printing technology and application system thereof
By combining multimodal data acquisition and AI-coupled modeling with DLP photopolymerization and femtosecond laser technology, personalized ear molds with acoustic self-adaptation, aesthetic self-matching, and physiological self-optimization are printed, solving the problem of insufficient personalization depth in existing technologies and realizing lifelong adaptation and multi-dimensional improvement of ear molds.
Patent Information
- Application Number
- CN202511148740.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-18
- Publication Date
- 2025-12-12
AI Technical Summary
Existing ear mold 3D printing technology relies too heavily on static anatomical data modeling, resulting in insufficient personalization depth, inability to achieve dynamic physiological feature matching, reliance on technician experience for acoustic tuning, lack of nanoscale optical structure in aesthetic design, and inability to dynamically upgrade according to user needs.
Employing multimodal data synchronous acquisition, combined with AI fully automated coupled modeling and intelligent printing technology, and utilizing DLP photopolymerization and femtosecond laser technology to print nanoscale colorimetric structures, the system incorporates quantum-optimized acoustic waveguides and piezoelectric particles for acoustic tuning and aesthetic mapping. Through bio-enzyme polishing and optical enhancement, it achieves full-dimensional synergy between physiology, acoustics, and aesthetics.
It achieves acoustic self-adaptation, aesthetic self-matching, and physiological self-optimization of the earmold, possessing lifelong evolution capabilities, improving wearing comfort and acoustic performance, and meeting users' personalized needs.
Smart Images

Figure CN121105380A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of 3D printing technology, in particular to personalized ear mold 3D printing technology and its application system. BACKGROUND
[0002] The application of 3D printing technology in ear mold production revolutionizes the traditional manual production mode and shows significant advantages. First, 3D printing obtains ear canal three-dimensional data through high-precision scanning, can customize the complex geometric structure of the auricle, the precision reaches microns, realizes perfect fit with the user's ear canal, significantly improves the wearing comfort and sound insulation effect. Secondly, this technology compresses the production cycle from several days of traditional manual work to several hours, especially suitable for large-scale personalized production needs. At the same time, the digital process reduces human error and material waste, reducing the overall cost by about 30%. In terms of material innovation, the application of biocompatible materials such as photosensitive resin and medical silicone can not only meet the strength requirements, but also realize diversified design of transparency and flexibility. In addition, in the remote medical scene, doctors can print remotely through cloud data transmission, which greatly expands the service range. 3D printing technology effectively solves the core pain points of low fitting rate and poor efficiency of traditional ear molds, and promotes the upgrading of hearing aids, customized earphones and other fields to precision medicine and personalized consumption;
[0003] The existing ear mold 3D printing technology relies too much on static anatomical data modeling, resulting in insufficient personalization: only basic shape adaptation is achieved while dynamic physiological characteristics (such as ear canal deformation during chewing) are ignored, comfort depends on repeated trial and adjustment; acoustic tuning relies on technician experience, cannot quantify user subjective listening preference, and there are universal design defects in high-frequency attenuation and resonance suppression; aesthetic customization is limited to simple dyeing or attaching decorations, lacks deep integration of nanoscale optical structures and functional components, and is prone to texture shedding or acoustic performance loss; the manufacturing process is fixed and cannot be dynamically upgraded according to user's ear canal keratinization, hearing changes and other long-term needs, resulting in short product life cycle. Traditional technology narrows down individualization to "shape replication" and fails to build a physiological-acoustic-aesthetic full-dimensional collaborative system SUMMARY
[0004] (I) Technical problems solved
[0005] In view of the shortcomings of the prior art, the present application provides personalized ear mold 3D printing technology and its application system, which solves the problem of insufficient personalization caused by excessive reliance on static anatomical data modeling in existing ear mold 3D printing technology.
[0006] (II) Technical solutions
[0007] In order to achieve the above purpose, the present application is realized by the following technical solutions: personalized ear mold 3D printing technology, comprising the following printing steps:
[0008] S1, multi-modal data synchronous acquisition: use an intelligent ear canal scanner to complete the following simultaneously:
[0009] (1) physiological data: high-precision ear canal 3D model and soft tissue elastic modulus detection;
[0010] (2) acoustic data: user ear canal acoustic impedance spectrum and personalized frequency response preference;
[0011] (3) aesthetic data: texture / color scheme matching the pinna shape;
[0012] S2, AI fully automatic coupling modeling: dynamically adjust the vent position based on finite element analysis to ensure uniform sound pressure distribution, and map the user's selected appearance scheme to the surface microstructure through a generative adversarial network;
[0013] S3, intelligent printing:
[0014] (1) core structure printing: use DLP light-cured elastic resin, with built-in quantum-optimized acoustic waveguide;
[0015] (2) functional layer superposition: spray acoustic optimization material containing piezoelectric particles, automatically fill metamaterial vibration isolation layer, color by femtosecond laser-induced plasma, and directly print nanoscale color development structure;
[0016] (3) generate a four-dimensional printing file containing material parameters, acoustic channels, and color coding;
[0017] S4, in-situ post-processing is completed simultaneously:
[0018] (1) acoustic tuning: built-in micro-speaker in the ear mold plays calibration sound, AI automatically detects resonance peak and laser fine-tunes the vent;
[0019] (2) surface polishing: biological enzyme catalytic degradation of burrs;
[0020] (3) optical enhancement: ultraviolet curing of diamondene-containing coating for scratch-resistant matte / high-gloss effect.
[0021] Preferably, the intelligent ear canal scanner is internally integrated with a laser scanner, a miniature microphone array, and a high-definition RGB-D camera.
[0022] Preferably, the personalized frequency response preference in S1 is achieved using AR sound scene simulation + brain wave feedback.
[0023] The application system of the personalized ear mold 3D printing technology includes an intelligent multi-modal data acquisition unit, an AI enhanced coupling modeling unit, a multi-material dynamic printing unit, and an optimization processing unit.
[0024] Preferably, the intelligent multi-modal data acquisition unit integrates laser scanning, acoustic detection and hyperspectral imaging, capturing ear canal morphology, acoustic response and skin texture within 5 minutes, and generating multiple AI recommended solutions in real time through AR to support accurate modeling.
[0025] Preferably, the AI-enhanced coupled modeling unit fuses finite element deformation prediction, quantum acoustic waveguide optimization and StyleGAN3 aesthetic generation, outputs four-dimensional printing files containing physiological / acoustic / aesthetic adaptation, and synchronously generates wearing simulation videos to realize intelligent modeling.
[0026] Preferably, the multi-material dynamic printing unit realizes sound-machine-light function integrated manufacturing through DLP light curing and piezoelectric nozzle, layer-by-layer building elastic ear mold body, piezoelectric tuning layer and nano-grating coloration structure.
[0027] Preferably, the optimization processing unit completes post-processing by using MEMS acoustic closed-loop calibration, biological enzyme polishing and diamond-like coating; and automatically generates lifelong adaptation parameters by analyzing wearing data through the cloud to form a dynamic optimization cycle.
[0028] (Three) beneficial effects
[0029] The present application provides a personalized ear mold 3D printing technology and its application system. It has the following beneficial effects:
[0030] 1. The 3D ear mold printing technology realizes millimeter-level anatomical matching and dynamic acoustic impedance tuning of the ear canal by multi-modal data fusion and quantum annealing algorithm optimization of non-Euclidean acoustic waveguide structure, and constructs nano-grating coloration layer and StyleGAN3 generated microvascular biomimetic texture by femtosecond laser coloring, breaking through the traditional single adaptation dimension, making the ear mold have the lifelong evolution ability of acoustic self-adaptation, aesthetic self-matching and physiological self-optimization, and upgrading the static hearing aid device to an intelligent biological function extension body. BRIEF DESCRIPTION OF DRAWINGS
[0031] Figure 1 The flowchart of the personalized ear mold 3D printing technology and its application system proposed by the present application. DETAILED DESCRIPTION
[0032] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0033] Embodiment:
[0034] As Figure 1As shown, the embodiment of the present application provides a personalized ear mold 3D printing technology, which comprises the following printing steps:
[0035] S1, multi-modal data synchronous acquisition: using an intelligent ear canal scanner to synchronously complete:
[0036] (1) physiological data: high-precision ear canal 3D model and soft tissue elastic modulus detection.
[0037] (2) acoustic data: user ear canal acoustic impedance spectrum and personalized frequency response preference.
[0038] (3) aesthetic data: texture / color scheme matched with auricle shape;
[0039] S2, AI full-automatic coupled modeling: dynamically adjusting the vent position based on finite element analysis to ensure uniform sound pressure distribution, and mapping the appearance scheme selected by the user into surface microstructure through a generative adversarial network;
[0040] S3, intelligent printing:
[0041] (1) core structure printing: using DLP light-cured elastic resin, built-in quantum-optimized acoustic waveguide;
[0042] (2) functional layer superposition: spraying acoustic optimization material containing piezoelectric particles, automatically filling metamaterial vibration isolation layer, coloring through femtosecond laser-induced plasma, and directly printing nanoscale color development structure;
[0043] (3) generating a four-dimensional printing file containing material parameters, acoustic channels, and color coding;
[0044] S4, in-situ post-processing synchronous completion:
[0045] (1) acoustic tuning: built-in micro-speaker in the ear mold plays calibration sound, AI automatically detects resonance peak and laser-tunes the vent;
[0046] (2) surface polishing: biological enzyme catalytic degradation of burrs;
[0047] (3) optical enhancement: ultraviolet curing of diamondene-containing coating, achieving scratch-resistant matte / high-gloss effect.
[0048] The intelligent ear canal scanner is internally integrated with a laser scanner, a miniature microphone array, and a high-definition RGB-D camera.
[0049] The personalized frequency response preference in S1 is realized by AR sound scene simulation + brain wave feedback.
[0050] The application system of the personalized ear mold 3D printing technology comprises an intelligent multi-modal data acquisition unit, an AI enhanced coupled modeling unit, a multi-material dynamic printing unit, and an optimization processing unit.
[0051] Intelligent multi-modal data acquisition unit integrates laser scanning, acoustic detection, and hyperspectral imaging, capturing ear canal morphology, acoustic response, and skin texture within 5 minutes, and generating multiple AI recommended solutions in real time through AR, supporting accurate modeling;
[0052] Multispectral laser scanner: synchronously acquires ear canal 3D morphology and soft tissue elastic modulus;
[0053] Acoustic detection array: miniature loudspeaker + 64-channel MEMS microphone (frequency response 20Hz-20kHz ±1dB).
[0054] Hyperspectral imaging module: captures earflap surface optical properties (16 million color gamut, texture resolution 5μm), completes physiological-acoustic-aesthetic three-dimensional data synchronous acquisition within 5 minutes, and real-time previews ear mold design solutions through AR glasses;
[0055] AI-enhanced coupling modeling unit integrates finite element deformation prediction, quantum acoustic waveguide optimization, and StyleGAN3 aesthetic generation, outputs four-dimensional printing files containing physiological / acoustic / aesthetic adaptation, synchronously generates wearing simulation videos, and realizes intelligent modeling;
[0056] Algorithm architecture:
[0057] Physiological adaptation layer: finite element analysis dynamically predicts ear canal deformation (error <50μm);
[0058] Acoustic optimization layer: quantum annealing algorithm generates non-Euclidean acoustic waveguide (transmission loss <2dB@8kHz);
[0059] Aesthetic mapping layer: StyleGAN3 texture generation + physical optical simulation (color restoration degree ΔE <1.5);
[0060] Output results: four-dimensional intelligent printing files (X / Y / Z coordinates + material attribute encoding). Automatically generates wearing effect simulation videos.
[0061] Multi-material dynamic printing unit builds elastic ear mold body, piezoelectric tuning layer, and nano-grating color display structure through DLP photocuring and piezoelectric nozzle, realizing acoustic-mechanical-optical integrated manufacturing;
[0062] Quantum multi-material dynamic printing platform:
[0063] Device configuration:
[0064] DLP photocuring main module: 385nm+405nm dual-wavelength light source (layer thickness 1-50μm adjustable);
[0065] Multi-material jetting system: 4-channel piezoelectric nozzle (supports resin / piezoelectric slurry / biological enzyme ink);
[0066] Femtosecond laser coloring unit: 1030nm femtosecond laser (pulse energy 0.1-10μJ adjustable);
[0067] Printing process:
[0068] Core structure layer: 30A elastic resin printing ear mold body (containing quantum optimized acoustic waveguide);
[0069] Functional enhancement layer: spray acoustic tuning material containing BaTiO3 piezoelectric particles;
[0070] Aesthetic implementation layer: generate nanometer grating structure by laser plasma coloring (coloring accuracy ±2nm).
[0071] Optimization processing unit uses MEMS acoustic closed-loop calibration, biological enzyme polishing and diamond-like coating to complete post-processing; through cloud analysis of wearing data, automatically generates lifelong adaptation parameters to form a dynamic optimization cycle;
[0072] Adaptive post-processing and feedback optimization system:
[0073] Key technologies:
[0074] Acoustic self-calibration unit: MEMS microphone + miniature loudspeaker closed-loop detection (1 / 3 octave sweep);
[0075] Biological enzyme polishing cabin: constant temperature 37℃ catalytic subtilisin degradation surface burrs;
[0076] Optical strengthening module: diamond-like coating deposition (hardness HV3000, light transmittance >95%);
[0077] Intelligent feedback:
[0078] Upload the first wearing data (pressure distribution / frequency response deviation) to the cloud evolution engine to generate lifelong adaptation scheme (such as annual hardness attenuation compensation parameters).
[0079] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.
Claims
1. Personalized ear mold 3D printing technology, characterized in that, The printing steps include the following: S1. Multimodal data synchronous acquisition: Completed synchronously using a smart ear canal scanner: (1) Physiological data: High-precision 3D model of ear canal and soft tissue elastic modulus detection; (2) Acoustic data: user's ear canal acoustic impedance spectrum and personalized frequency response preferences; (3) Aesthetic data: Texture / color scheme matching ear shape; S2, AI fully automatic coupled modeling: Based on finite element analysis, the position of the vent is dynamically adjusted to ensure uniform sound pressure distribution. The appearance scheme selected by the user is mapped to the surface microstructure through generative adversarial network. S3, Smart Printing: (1) Core structure printing: using DLP photocurable elastic resin, with built-in quantum optimized acoustic waveguide; (2) Functional layer superposition: spray acoustic optimization material containing piezoelectric particles, automatically fill metamaterial vibration isolation layer, and directly print nanoscale color structure by femtosecond laser-induced plasma coloring; (3) Generate a four-dimensional printing file containing material parameters, acoustic channels, and color codes; S4. In-situ post-processing is completed simultaneously: (1) Acoustic tuning: The earmold has a built-in miniature speaker that plays calibration sound, and AI automatically detects resonance peaks and laser fine-tunes the vent holes; (2) Surface polishing: bio-enzyme catalytic degradation of burrs; (3) Optical enhancement: UV-cured diamondene coating to achieve scratch-resistant matte / high-gloss effect.
2. The personalized ear mold 3D printing technology according to claim 1, characterized in that: The intelligent ear canal scanner integrates laser scanning, a miniature microphone array, and a high-definition RGB-D camera.
3. The personalized ear mold 3D printing technology according to claim 1, characterized in that: The personalized frequency response preference in S1 is achieved using AR soundscape simulation and EEG feedback.
4. An application system based on the personalized ear mold 3D printing technology according to any one of claims 1-3, characterized in that, It includes an intelligent multimodal data acquisition unit, an AI-enhanced coupled modeling unit, a multi-material dynamic printing unit, and an optimization processing unit.
5. The application system of personalized ear mold 3D printing technology according to claim 4, characterized in that: The intelligent multimodal data acquisition unit integrates laser scanning, acoustic detection, and hyperspectral imaging, capturing ear canal morphology, acoustic response, and skin texture within 5 minutes, and generating multiple AI recommendation schemes in real time through AR to support accurate modeling.
6. The application system of personalized ear mold 3D printing technology according to claim 4, characterized in that: The AI-enhanced coupled modeling unit integrates finite element deformation prediction, quantum acoustic waveguide optimization, and StyleGAN3 aesthetic generation to output a four-dimensional printed file with physiological / acoustic / aesthetic adaptations, and simultaneously generates a wearing simulation video to achieve intelligent modeling.
7. The application system of personalized ear mold 3D printing technology according to claim 4, characterized in that: The multi-material dynamic printing unit uses DLP photopolymerization and piezoelectric nozzles to construct the elastic ear mold body, piezoelectric tuning layer and nano-grating color display structure layer by layer, realizing the integrated manufacturing of sound-mechanical-optical functions.
8. The application system of personalized ear mold 3D printing technology according to claim 4, characterized in that: The optimization processing unit utilizes MEMS acoustic closed-loop calibration, bio-enzyme polishing, and diamond-like coating for post-processing; it analyzes wearing data in the cloud to automatically generate lifelong adaptation parameters, forming a dynamic optimization cycle.