Derivative works — US Patent 12409014

Defensive Disclosure and Prior Art Publication

Title: Systems and Methods for Additive Manufacturing of Patient-Specific Conformal Devices

Publication Date: May 8, 2026

Abstract: This document discloses a series of derivative inventions, enhancements, and alternative applications related to the core methodology of manufacturing patient-specific devices via a digital workflow involving 3D scanning, CAD modeling, and additive manufacturing, as described in U.S. Patent 12,409,014. The purpose of this disclosure is to place these concepts in the public domain, thereby establishing them as prior art to preclude patenting of these incremental improvements by others. The disclosed variations cover material substitutions, expanded operational parameters, cross-domain applications, integration with emerging technologies, and engineered failure modes.

1.0 Derivative Works Based on Material & Component Substitution

1.1 Bioresorbable Polymer Composite Brackets

Enabling Description: This variation replaces the permanent ceramic material with a tunable, bioresorbable composite. The material slurry for a Digital Light Processing (DLP) or Stereolithography (SLA) process consists of a photopolymerizable resin containing a blend of Poly(lactic-co-glycolic acid) (PLGA) and Polycaprolactone (PCL) oligomers, filled with 20-40% by volume of nano-scale hydroxyapatite (HA) or beta-tricalcium phosphate (β-TCP) ceramic particles. The ratio of PLGA to PCL is computationally determined to control the bulk degradation rate, with higher PLGA content leading to faster resorption (e.g., 6-9 months) and higher PCL content extending resorption (e.g., 18-24 months). After printing the green part, a low-temperature thermal curing process (60-80°C) is used for final cross-linking without degrading the polymer matrix. This enables "programmed orthodontics," where the brackets lose their structural integrity and are resorbed by the body after the active treatment phase is complete, eliminating a clinical debonding step.

Mermaid.js Diagram:

flowchart TD
    A[Material Formulation] --> B{Slurry Preparation};
    A_sub1[PLGA/PCL Oligomers] --> A;
    A_sub2[nano-HA/TCP Particles] --> A;
    A_sub3[Photoinitiator] --> A;
    B --> C[DLP Additive Manufacturing];
    subgraph Digital Workflow
        D[Patient 3D Scan] --> E[CAD Bracket Design];
        E --> C;
    end
    C --> F[Low-Temp Thermal Cure];
    F --> G[Bonding to Tooth];
    G --> H{Active Orthodontic Phase};
    H --> I[Hydrolytic Degradation & Resorption];
    I --> J[Treatment Complete - No Debonding];

1.2 Functionally Graded Material (FGM) Brackets

Enabling Description: This method produces a monolithic bracket with continuously varying material properties. A multi-material additive manufacturing system, such as PolyJet technology or a multi-vat DLP system, is utilized. The process uses two or more distinct ceramic slurries. For example, Slurry A is a high-toughness, high-wear Zirconia-Toughened Alumina (ZTA) (80% Al2O3, 20% ZrO2). Slurry B is a lower-modulus, porous alumina with a fugitive pore-forming agent. The CAD software, after topology optimization, maps the stress distribution across the bracket. This map is converted into a voxel-level compositional gradient. During printing, the machine dynamically mixes or selectively jets the slurries for each voxel, creating a dense, wear-resistant archwire slot that smoothly transitions to a porous, lower-stiffness base that facilitates crack propagation for predictable debonding.

Mermaid.js Diagram:

classDiagram
    class OrthodonticBracket {
        +bracketID: string
        +patientID: string
        +materialGradientMap: VoxelMap
        +print()
    }
    class BracketZone {
        <<enumeration>>
        SLOT_INTERFACE
        TIE_WING
        BODY
        BONDING_BASE
    }
    class MaterialComposition {
        +percentZTA: float
        +percentPorousAlumina: float
    }
    OrthodonticBracket "1" *-- "4" BracketZone : has
    BracketZone "1" -- "1" MaterialComposition : defines

2.0 Derivative Works Based on Operational Parameter Expansion

2.1 Micro-Scale Brackets via Two-Photon Polymerization (2PP)

Enabling Description: This disclosure describes the application of the core workflow at the micro-scale for pediatric or highly targeted orthodontic treatments. The manufacturing process is scaled down using Two-Photon Polymerization (2PP), which offers sub-micron resolution. The material slurry is an organically modified ceramic (ormocer) resin loaded with silica or zirconia nanoparticles (10-30 nm diameter). The 3D scan data is obtained via optical coherence tomography (OCT) for high-resolution surface capture. The CAD design process incorporates micro-finite element analysis (μFEA) to validate the structural integrity of features, such as archwire slots, that are designed with dimensions between 100 and 200 micrometers. The resulting brackets are less than 1.5mm in total mesial-distal width, minimizing patient discomfort and visual impact.

Mermaid.js Diagram:

sequenceDiagram
    participant Clinician
    participant OCT_Scanner
    participant CAD_μFEA_Platform
    participant TwoPhoton_Printer
    participant Patient

    Clinician->>OCT_Scanner: Initiate high-resolution scan
    OCT_Scanner-->>CAD_μFEA_Platform: Send 3D point cloud data
    CAD_μFEA_Platform->>CAD_μFEA_Platform: Generate micro-bracket design & simulate loads
    CAD_μFEA_Platform-->>TwoPhoton_Printer: Send validated 3D model
    TwoPhoton_Printer->>TwoPhoton_Printer: Fabricate micro-bracket from nano-ceramic slurry
    TwoPhoton_Printer-->>Clinician: Deliver sterilized micro-bracket
    Clinician->>Patient: Bond micro-bracket

3.0 Derivative Works Based on Cross-Domain Application

3.1 Aerospace: Conformal, Additively Manufactured Phased Array Antenna Elements

Enabling Description: The methodology is applied to fabricate customized, conformal antenna elements directly onto the curved surfaces of aircraft or unmanned aerial vehicles (UAVs). A high-resolution 3D laser scan of the mounting surface (e.g., a wing's leading edge) is acquired. This data is imported into an electromagnetic simulation software (e.g., Ansys HFSS). An antenna element, or an array of elements, is designed to be perfectly conformal to the scanned surface, minimizing aerodynamic drag and eliminating impedance mismatches caused by air gaps. The elements are additively manufactured from a low-loss, high-dielectric-constant ceramic slurry, such as alumina (Al2O3) or aluminum nitride (AlN), chosen for its specific radio frequency (RF) properties at the desired operational band (e.g., Ku or Ka band).

Mermaid.js Diagram:

flowchart LR
    subgraph Data Acquisition
        A[3D Laser Scan of Airframe Surface]
    end
    subgraph Design & Simulation
        B[Import Surface to EM Simulator] --> C{Design Conformal Antenna Element};
        C --> D[Simulate RF Performance];
    end
    subgraph Manufacturing
        E[Export Final CAD Model] --> F[3D Print with AlN Ceramic Slurry];
        F --> G[Sinter & Metallize];
    end
    subgraph Integration
        H[Bond to Airframe]
    end
    A --> B;
    D --> E;
    G --> H;

3.2 Agricultural Tech: Plant-Specific Microfluidic Emitters

Enabling Description: This application uses the workflow to create custom microfluidic emitters for precision drip irrigation or nutrient delivery systems. High-throughput plant phenotyping systems (e.g., using LiDAR or structured light scanners) capture the 3D geometry of the root crown or stem base of individual plants. This data is used to model the optimal flow path and droplet size for delivering water or nutrients directly to the root system with minimal evaporation or runoff. A custom emitter, featuring complex internal channels and nozzle geometries, is designed for each plant's specific morphology. The emitters are then additively manufactured from a highly abrasion-resistant and chemically inert ceramic like silicon carbide (SiC), ensuring long life in harsh soil environments.

Mermaid.js Diagram:

graph TD
    A[Plant Phenotyping Drone Scans Crop Field] --> B[Generate 3D Models of Individual Plant Root Crowns];
    B --> C[CFD Simulation to Design Optimal Emitter Geometry];
    C --> D[Generate Unique CAD File for Each Emitter];
    D --> E[Batch Print Emitters using SiC Additive Manufacturing];
    E --> F[Install Emitters in Automated Irrigation System];
    F --> G[Deliver Plant-Specific Water & Nutrient Doses];

4.0 Derivative Works Based on Integration with Emerging Technology

4.1 AI-Driven Generative Design with Integrated Force Sensing

Enabling Description: This variation integrates a generative AI model into the bracket design phase. The AI is given a set of inputs: the patient's 3D tooth model, the orthodontist's prescribed final tooth positions (the "setup"), material property data (e.g., Young's modulus, fracture toughness of ZTA), and manufacturing constraints of the 3D printer. The AI is also instructed to create an internal, non-conductive channel from the bracket base to the facial surface and to embed a piezoelectric element. A topology optimization algorithm generates a lattice-based, organic bracket shape that minimizes weight and stress concentrations while ensuring the prescribed force system can be delivered effectively. The integrated piezoelectric element, when deformed by the archwire, generates a measurable voltage proportional to the applied force, enabling real-time treatment monitoring.

Mermaid.js Diagram:

flowchart TD
    subgraph Inputs
        A[3D Tooth Model]
        B[Treatment Goal 'Setup']
        C[Material Properties]
        D[Manufacturing Constraints]
    end
    subgraph Generative AI Core
        E[Topology Optimization Algorithm]
        F[Physics-Based FEA Simulator]
        E -- Constraint Data --> F;
        F -- Performance Score --> E;
    end
    subgraph Output
        G[Optimized Bracket CAD with Sensor Cavity]
    end
    A & B & C & D --> E;
    E --> G;

4.2 IoT-Enabled Bracket with NFC Data Logging

Enabling Description: This method embeds a passive Near-Field Communication (NFC) chip and a micro-electromechanical system (MEMS) strain gauge into each bracket. The additive manufacturing process is a multi-step procedure: (1) The bracket base is printed up to a pre-defined cavity. (2) The printer pauses, and a pick-and-place robot inserts the NFC/MEMS component. (3) The printer resumes and fully encapsulates the electronics within the ceramic body before sintering. The final bracket is passive and requires no battery. A patient uses an NFC-enabled device (e.g., smartphone, electric toothbrush) to power the chip and read the strain gauge data, which correlates to orthodontic force. The data, timestamped, is uploaded to a cloud platform for the clinician to track treatment progress, patient compliance, and force degradation of the archwire over time.

Mermaid.js Diagram:

sequenceDiagram
    participant PatientDevice as Smartphone
    participant NFC_Bracket as Bracket
    participant CloudPlatform as Cloud DB
    participant ClinicianDashboard as Dashboard

    PatientDevice->>NFC_Bracket: Powers via NFC field
    NFC_Bracket->>NFC_Bracket: Measures strain
    NFC_Bracket-->>PatientDevice: Transmits force data
    PatientDevice->>CloudPlatform: Uploads [Timestamp, BracketID, Force]
    CloudPlatform-->>ClinicianDashboard: Pushes updated treatment data

5.0 Derivative Works Based on Inverse or Failure Modes

5.1 Programmed Debonding via Sacrificial Material Interface

Enabling Description: This variation ensures safe and easy bracket removal by designing a predictable failure interface. The bracket is printed in two main parts from different materials using a multi-material binder jetting process. The main body of the bracket is printed from a standard high-strength ceramic (e.g., Alumina). However, a thin (50-100 micron) interfacial layer between the custom-contoured base and the main bracket body is printed using a "sacrificial" material. This material is a bio-compatible, water-soluble salt or a polymer with low shear strength that is co-sintered at a temperature that doesn't fully decompose it. During treatment, it is protected by the adhesive. For debonding, the clinician applies a specific solvent (e.g., water or a weak acid) that dissolves the sacrificial layer, or applies a simple shear force that causes failure at this weakened interface, allowing the bracket to be removed with very low force and no risk of enamel damage.

Mermaid.js Diagram:

graph TD
    B_Body[Bracket Body (Alumina)]
    B_Interface[Sacrificial Interface (50-100µm)]
    B_Base[Custom Contoured Base (Alumina)]
    Adhesive[Bonding Adhesive]
    Tooth[Tooth Enamel]

    B_Body -- structural bond --> B_Interface;
    B_Interface -- weak, predictable bond --> B_Base;
    B_Base -- strong adhesive bond --> Adhesive;
    Adhesive -- strong adhesive bond --> Tooth;

5.2 Shape-Memory Ceramic Composite for Passive Ligation

Enabling Description: This method creates a self-ligating bracket without mechanical doors or clips. The bracket is additively manufactured from a shape-memory ceramic composite. A potential material is a zirconia matrix with embedded vanadium dioxide (VO2) particles. Vanadium dioxide undergoes a reversible metal-insulator phase transition at approximately 68°C, accompanied by a significant change in crystal structure and shape. The bracket is printed with the archwire slot in a "closed" or constricted geometry. To insert an archwire, the clinician applies a targeted, brief thermal stimulus (e.g., from a heated instrument or a focused infrared diode) to raise the bracket temperature above 68°C. This phase transition causes the material to deform into a pre-programmed "open" slot geometry. The wire is inserted, the stimulus is removed, and as the bracket cools, it reverts to its original, closed shape, securely but passively ligating the wire.

Mermaid.js Diagram:

stateDiagram-v2
    [*] --> Rigid_Closed: Initial State
    Rigid_Closed: Archwire is ligated.
    Malleable_Open: Archwire can be inserted/removed.

    Rigid_Closed --> Malleable_Open: Apply Thermal Stimulus (>68°C)
    Malleable_Open --> Rigid_Closed: Remove Stimulus / Cool to body temp

6.0 Combination Prior Art Scenarios with Open-Source Standards

Combination 6.1: DICOM and 3MF for a Complete Medical Manufacturing Workflow. The process is defined wherein intraoral scan data is acquired and stored according to the DICOM standard, ensuring medical device interoperability. The final, print-ready file for the patient-specific bracket, which includes functionally graded material information on a voxel-by-voxel basis, is encoded using the 3MF (3D Manufacturing Format). This combination creates a fully open-standard, end-to-end workflow from patient scan to multi-material manufacturing instruction.
Combination 6.2: MQTT Protocol for IoT-Enabled Bracket Data Streams. For the IoT-enabled smart bracket derivative (Sec 4.2), the communication protocol is explicitly defined as MQTT (Message Queuing Telemetry Transport). An NFC reader (e.g., a smart toothbrush) acts as an MQTT client, publishing sensor data (force, pH, temperature) to a specific topic (e.g., patient/patient_id/bracket/bracket_id/force) on an MQTT broker. The orthodontist's cloud platform subscribes to this topic, ensuring a lightweight, standardized, and reliable data stream from the in-situ device.
Combination 6.3: WebXR and glTF for Collaborative Treatment Planning. The 3D models of the patient's dentition and the proposed bracket placements are exported in the glTF (GL Transmission Format). This allows the models to be rendered efficiently in a web browser. The system uses the open WebXR API to create a collaborative virtual or augmented reality environment where the orthodontist and patient can together view the treatment simulation, inspect the custom bracket designs in 3D, and approve the treatment plan before manufacturing commences.