Optical Calibration for 3D Printer Lens Distortion
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Solution Overview
Problem
In surface exposure photo-curing 3D printing, optical distortion of projected images due to lens aberrations leads to inaccurate material formation, necessitating calibration of the optical apparatus module.
Innovation Solution
A method and system for optical calibration of 3D printers, involving projection of images onto a calibration plate, capturing images, identifying and rotating/ translating calibration and actual projection points to calculate and correct for distortion, and converting these corrections into pixel-level offsets to inversely distort the projection image, ensuring accurate layer formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If optical apparatus module is used for projection in surface exposure photo-curing 3D printing, then material formation and layer superposition can be achieved, but lens optical distortion causes image distortion and reduces printing precision
Solution Approach 1:
The patent performs optical calibration before actual 3D printing by projecting calibration patterns through the optical apparatus, capturing images of the projected patterns, and calculating distortion parameters in advance. This preliminary characterization of optical distortion allows the system to pre-compensate for distortion in subsequent printing operations, eliminating the need for real-time correction during material formation.
Solution Approach 2:
The patent transforms the projection image parameters by applying distortion correction algorithms that modify pixel coordinates and geometric properties. By changing the parameters of the projected image (position, shape, size of projected features) based on calculated distortion models, the system compensates for lens optical distortion and achieves accurate material formation despite the presence of distorting optical elements.
2Measurement precision
If calibration is performed to correct optical distortion, then image fidelity improves, but additional calibration steps and processing increase system complexity
Solution Approach 1:
The patent implements self-calibration capability where the 3D printing system performs its own optical calibration using integrated camera and projection apparatus. The system automatically captures calibration images, processes them to determine distortion parameters, and applies corrections without requiring external calibration equipment or manual intervention. This self-service approach maintains high image fidelity while minimizing additional system complexity.
Solution Approach 2:
The patent uses the existing projection apparatus and camera system for multiple purposes: both for normal 3D printing operations and for optical calibration. The same optical machine projects calibration patterns just as it projects printing patterns, and the same camera captures both calibration and printing images. This multi-functionality eliminates the need for separate dedicated calibration equipment, reducing system complexity while maintaining calibration accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Significantly reduces lens optical distortion errors, enhancing the accuracy of 3D printing by aligning calibration and projection points within the same coordinate system and adjusting pixel-level offsets, resulting in improved image fidelity and printing precision.
Implementation Method 1
a projection image is projected by an optical machine to the projection platform
Implementation Method 2
the projection platform is captured
Data Source
AI summary
Disclosed are a method and system for optical calibration of a 3D printer. The method includes: projecting, by an optical apparatus, a projection image to a projection platform, placing a calibration plate on the projection platform, and capturing the projection platform; identifying the coordinates of calibration points and the coordinates of actual projection points according to the captured image to obtain a matrix of calibration points and a matrix of actual projection points; rotating and translating the matrix of the calibration points and/or the matrix of the actual projection points, and calculating a distance value T0 between the calibration points and the actual projection points in an image coordinate system; converting the T0 in the image coordinate system into an offset C1 in a pixel coordinate system, and inversely distorting an initial ideal projection image according to the offset C1 to offset optical distortion.


