3D Printing Slicing Method for Surface Texture Compensation
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Solution Overview
Problem
Existing 3D printing slicing methods struggle to effectively address the lamination effect in 3D printed objects, particularly for non-professionals, as reducing layer thickness is not always feasible and establishing surface texture features is complex and limited in scope.
Innovation Solution
A 3D printing slicing method that involves acquiring a 3D model and a target texture picture, preprocessing both to establish a mapping set, slicing the model, and revising intersection points based on pixel values in the target texture picture to improve the outer contour texture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If layer thickness is reduced to improve surface accuracy, then surface texture quality improves, but printing time and complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-processing the 3D model to identify inclined planes and calculate compensation values before slicing. The slicing software automatically adjusts layer thickness on inclined surfaces based on pre-calculated compensation data, eliminating the need for manual layer-by-layer adjustment and reducing overall processing time while maintaining surface accuracy
Solution Approach 2:
The patent changes the layer thickness parameter dynamically based on surface inclination angle. The slicing software automatically modifies layer thickness for inclined planes using compensation algorithms, allowing larger nominal layer thickness while achieving effective fine control on slopes, thus reducing printing time without sacrificing surface quality
2Manufacturing precision
If surface texture features are established to solve lamination effect, then surface quality improves, but modeling complexity and professional knowledge requirements increase
Solution Approach 1:
The patent implements self-service by enabling the slicing software to automatically detect inclined planes and apply compensation algorithms without user intervention. The system automatically calculates compensation values, adjusts layer thickness, and generates slicing paths, eliminating the need for users to manually create complex surface texture features or possess specialized modeling knowledge
Solution Approach 2:
The patent replaces manual modeling operations with automated computational algorithms. Instead of requiring users to mechanically construct complex surface texture features in 3D modeling software, the system uses automated image processing and compensation algorithms to achieve the same surface quality improvement, significantly reducing the complexity barrier
3Productivity
If layer thickness is increased to improve productivity, then printing speed improves, but lamination effect becomes more obvious
Solution Approach 1:
The patent applies local quality by implementing different effective layer thicknesses in different regions of the model. On inclined planes, the compensation algorithm effectively reduces layer thickness to minimize lamination, while on horizontal surfaces the full layer thickness is used to maintain productivity. This localized adjustment allows overall increased layer thickness while preventing lamination on critical surfaces
Solution Approach 2:
The patent uses preliminary action by pre-calculating compensation values for all inclined surfaces before slicing. The system identifies inclined planes, calculates appropriate compensation amounts, and stores this data for automatic application during slicing, enabling the use of larger layer thickness without lamination effects on slopes
Data Source
AI summary
3D printing slicing methods, apparatuses, devices, and storage mediums are disclosed. In an embodiment, a 3D printing slicing method includes the following steps: (1) acquiring a 3D model and a target texture picture; (2) obtaining a first model and obtaining a first picture; (3) establishing a mapping set between the first model and the first picture; (4) slicing a target layer of the first model by a slice plane to obtain at least one intersection point; (5) looking up at least one mapping point corresponding to the at least one intersection point in the first picture according to the mapping set, and obtaining corresponding outer contour points by revising coordinates of the at least one intersection point; and (6) obtaining an outer contour boundary line of the target layer by connecting the outer contour points successively.