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Forward design closed loop from mechanical requirements to placement parameters — design is manufacturing, placement defines properties

Carbon Fiber Weave Texture Microstructure

Carbon Fiber Weave Texture · Material Microstructure

AI-Assisted Placement Design

Building upon AFP's process capabilities, AI establishes a forward design closed loop from mechanical requirements to placement parameters: Mechanical Requirements → Layup Optimization Design → Precision AFP Forming → Performance Validation → Design Iteration. Every degree of fiber deflection and every layer added is precise programming of the final mechanical response.

Auto-generating layup solutions from mechanical requirements
Mechanical properties become direct results of design inputs
Design-process-performance convergence after multiple iterations
Optimal structural design with equal strength and variable thickness
Every degree of fiber deflection is precise programming of mechanical response

AFP Preforming + Compression Molding Densification

PDM's engineering implementation relies on a three-stage process chain: AFP automated fiber placement completes the 'encoding' of fiber topological distribution, compression molding achieves densification and interfacial bonding, and performance validation feeds test data back into design parameters to drive iterative optimization — this is not 'test after making', but a forward closed loop of 'design is manufacturing, placement defines properties'.

Precise control of fiber paths on complex surfaces
Precise control of temperature-pressure-time curves
Full digital recording of placement parameters, quality traceability
Fiber angle precision ±0.5° per bundle, independently adjustable layer sequence
Near-net-shape preforms, reducing subsequent processing and assembly
AFP Automated Fiber Placement Equipment

Automated Fiber Placement · Precision Manufacturing

Inspection System

Inspection is not the endpoint, but a critical link in the design-process-performance convergence loop. Mechanical testing of formed parts benchmarks test data against design models, deviations feed back into layup design parameters to drive next-round optimization — after multiple iterations, a stable and reliable product solution is formed.

X-Ray Non-Destructive Testing Results

X-Ray Inspection

Visual inspection of internal defects, verifying fiber placement accuracy

Ultrasonic NDT Waveform

Ultrasonic Testing

Interlaminar bonding quality assessment, benchmarking deviations against design models

C-Scan Impact Damage Imaging

C-Scan Inspection

Full-size precision imaging, providing data support for design iteration

Patents & Intellectual Property

AI-based composite material placement path optimization method
Automated fiber placement process for closed revolving body molding
Lightweight ankle-foot orthosis structural design
AFP placement tension real-time control system
Integrated molding process for thermoplastic composites
Online inspection method for placement quality based on machine vision
Quick-release foldable wing structure for UAVsZL 2024 2 1371614.6 · Utility Model · 2025.02.18
Integrated molded carbon fiber UAV armZL 2024 2 1371642.8 · Utility Model · 2025.02.18