Helmet shell polishing pressure self-adaptive control method based on real-time feedback of surface roughness

By applying multi-band sinusoidal perturbation signals to the end of the helmet shell polishing tool and acquiring real-time surface response data, a fingerprint-parameter mapping database was constructed, enabling adaptive pressure control. This solved the heterogeneity problem of composite materials and 3D printed structures, and improved surface consistency and stability.

CN122274757APending Publication Date: 2026-06-26MEIZHOU JINYUE HELMETS LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
MEIZHOU JINYUE HELMETS LTD
Filing Date
2026-04-21
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing helmet shell polishing technologies are ill-suited to the heterogeneity of composite materials and 3D printed structures, resulting in decreased surface roughness consistency and finished product stability. Furthermore, traditional methods rely on complex modeling and parameter optimization, making it difficult to achieve rapid deployment and cross-material adaptability.

Method used

By applying multi-band sinusoidal perturbation signals to the end of the polishing tool, and combining white light interferometer and high-speed linear array camera to collect surface response characteristics in real time, a local surface response fingerprint vector is constructed, and a fingerprint-parameter mapping database is established to achieve adaptive pressure control.

Benefits of technology

It significantly improves the consistency and stability of surface processing for helmet shells made of complex materials, reduces computational load and technical transformation costs, adapts to multi-material mixed production, and solves the control failure problem of traditional methods in the cross-material transition zone.

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Abstract

This invention relates to an adaptive control method for polishing pressure of helmet shells based on real-time surface roughness feedback. To address issues such as localized polishing pressure mismatch and insufficient accuracy caused by material heterogeneity, a multi-step adaptive modeling and real-time control process is proposed, based on multi-band perturbation excitation, surface micro-response measurement, feature extraction and dimensionality-reduced fingerprint representation, fingerprint parameter mapping database, and online criterion recalibration. By applying controllable mechanical disturbances at multiple spatial grid points and frequently acquiring the dynamic changes of surface roughness with the disturbance response, characteristic fingerprints representing the dynamic mechanical behavior of each region are generated. A nonlinear mapping is established with historical pressure control parameters, and the current multi-point fingerprints are fused and spatially weighted to map into highly adaptable control parameters, thereby adjusting the polishing pressure in real time. Its beneficial effects include significantly improving the regional adaptability of polishing pressure matching and its resistance to material uncertainties, endowing the system with self-recovery and online accuracy maintenance capabilities.
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