A quasi-on-line 3D printing path correction control system based on image acquisition and distance measurement combination

By combining a CCD industrial camera with a laser distance sensor for detection, and coordinating with machine tool motion triggering, multi-dimensional deviation detection and layer-by-layer correction in the 3D printing process are achieved, solving the problem of insufficient forming accuracy in existing technologies and improving printing quality and efficiency.

CN122125909APending Publication Date: 2026-06-02NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Filing Date
2026-03-24
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing 3D printing technology suffers from incomplete perception of deviations in forming accuracy. Offline correction is inefficient, and online correction using a single sensor is not accurate enough, making it impossible to achieve precise and comprehensive perception of printing deviations.

Method used

By combining a CCD industrial camera with a laser distance sensor, the planar geometric shape is acquired through image acquisition and height is measured by laser to achieve multi-dimensional deviation detection. A closed-loop process of "detection-correction-execution" is designed, which is coordinated with the machine tool movement for triggering and dynamically adjusting the printing path and layer height.

Benefits of technology

It enables real-time, comprehensive perception and efficient correction of printing deviations, improving molding accuracy, avoiding deviation accumulation, and adapting to 3D printing scenarios with different accuracy requirements.

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Abstract

This invention discloses a quasi-online 3D printing path correction control system based on a combination of image acquisition and distance measurement. The system integrates a CCD industrial camera and a laser distance sensor into the 3D printing motion control system. The main framework of the control system is built on the WinForms framework, integrating an image processing module, a data communication module, and a path correction algorithm module. The hardware also includes a multi-axis cooperative motion controller. All hardware components are connected to the control framework via a dedicated industrial communication protocol. The system achieves quasi-online correction by executing the following steps layer by layer: acquiring the planar geometry of the current printing layer using the CCD industrial camera and extracting the contour; registering the actual contour with the theoretical shape to obtain the deformation path; planning the measurement path of the laser distance sensor based on the deformation path to accurately obtain the actual height of the printing layer; and adaptively correcting the printing path and layer height of the next layer by combining planar deformation deviation and height deviation.
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