Slice Image Edge Grayscale Compensation for Precise 3D Printing
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Solution Overview
Problem
Current 3D printing technologies face challenges in achieving accurate size adjustments, particularly with photocuring 3D printing, where size contraction of photosensitive resin materials leads to printing residues and reduced accuracy due to large exposure surfaces and inability to adjust sizes smaller than a pixel.
Innovation Solution
A method and system for processing slice images in 3D printing that involves determining a size adjustment value and grayscale compensation parameter, performing grayscale processing on edge pixels of the slice image, and using the processed image for printing, allowing for precise adjustments and reducing material contraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If grayscale processing is performed on edge pixels with compensation parameters, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent applies parameter changes by modifying grayscale values of edge pixels based on compensation parameters. The system calculates specific grayscale compensation values for different edge pixels to achieve precise size adjustment of the printed object, transforming the physical parameter (grayscale intensity) to control the curing degree and final dimensions of the photosensitive resin.
2Ease of operation
If size adjustment is performed by offsetting image contour, then ease of operation is improved, but manufacturing precision deteriorates for sub-pixel adjustments
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different regions in the slice image. Edge pixels receive grayscale compensation processing while internal pixels maintain original grayscale values. This localized approach enables precise control of size adjustment at the pixel level, achieving sub-pixel precision through differential grayscale modification rather than uniform contour offsetting.
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
This approach enables accurate size adjustments down to non-integer multiple pixel sizes, reducing printing residues and improving the accuracy of 3D printed objects by compensating for edge pixel sizes, thus enhancing the precision and quality of the printing process.
Implementation Method 1
The technology uses the principle of curing a liquid photosensitive resin after irradiating the liquid photosensitive resin with a light projector
Data Source
AI summary
Disclosed in the disclosure are a method, system and apparatus for processing slice image for 3D printing, and a storage medium. The method includes: acquiring a slice image of a three-dimensional model, and a relationship between a grayscale compensation parameter and a size adjustment value; determining at least one size adjustment value according to the slice image; determining at least one grayscale compensation parameter according to the at least one size adjustment value and the relationship between the grayscale compensation parameter and the size adjustment value; and respectively performing grayscale processing on edge pixels of corresponding contours in the slice image according to the plurality of grayscale compensation parameters, where the processed slice image is used for 3D printing.