3D printing self-adaptive layering method capable of reserving unconventional features of model

A 3D printing, unconventional technology, applied in the field of 3D printing adaptive layering that preserves the unconventional features of the model, and can solve the problems of dense feature loss and feature loss on the outer surface of the model

Active Publication Date: 2021-07-30
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF25 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The equal thickness layering algorithm is to layer the entire model evenly according to the fixed layer thickness. This algorithm is simple to implement, but it is easy to cause the loss of dense features on the outer surface of the model; the adaptive layering algorithm is to automatically correct the printing according to the curvature change of the outer surface of the model. Thickness, reduce printing error with as few layers as possible
However, in dealing with the detailed features of the outer surface of t...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 3D printing self-adaptive layering method capable of reserving unconventional features of model
  • 3D printing self-adaptive layering method capable of reserving unconventional features of model
  • 3D printing self-adaptive layering method capable of reserving unconventional features of model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0054] Such as figure 1 As shown, a kind of 3D printing self-adaptive layering method of retaining the unconventional features of the model based on the volume error rate of the present invention comprises the following steps:

[0055] S1. Define and identify the regular features of the model, adjust the feature height spacing, and set a layered plane at each adjusted regular feature height;

[0056] Specifically include the following sub-steps:

[0057] S11. Summarize conventional features into three types: feature points, feature lines, and feature surfaces, and then identify feature points, feature lines, and feature surfaces according to the topology data;

[0058] The feature points, feature lines, and feature surfaces are defined as follows:

[0059] Feature point: the local highest or lowest point in the printing direction; this poin...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a 3D printing self-adaptive layering method capable of reserving unconventional features of a model. The 3D printing self-adaptive layering method comprises the following steps of S1, defining and identifying conventional features of the model, adjusting the height spacing of the features, and setting a layering plane at the height of each adjusted conventional feature; S2, subdividing the model by controlling the layer thickness through the volume error rate between heights of every two adjacent conventional features, and retaining the unconventional features; and S3, adjusting the layering height according to the actual printing layer thickness limitation. According to the 3D printing self-adaptive layering method capable of reserving the unconventional features of the model, common conventional feature points, feature lines and feature surfaces of most models are defined and recognized, and it is guaranteed that the features are not lost or deviated in the printing process; and the model is subdivided at the detail features which do not meet the conventional definition by adopting a volume error rate calculation method, so that the unconventional features of the model are effectively reserved, the printing error is further reduced, and the model forming precision is improved.

Description

technical field [0001] The invention belongs to the technical field of 3D printing data processing, and in particular relates to a 3D printing self-adaptive layering method for retaining unconventional features of a model. Background technique [0002] 3D printing technology is an additive manufacturing technology that processes a three-dimensional CAD model into a solid by accumulating materials layer by layer. Its basic principle is "layer-by-layer manufacturing, layer-by-layer superposition". A series of data processing processes discretize the 3D CAD model into 2D layers, and then convert the processing path of the layer files into machine codes that can be recognized by the printer to complete the physical printing of the parts. Therefore, the data processing process, especially the layered slicing link, is the core content of 3D printing, which has a crucial impact on the accuracy and efficiency of physical printing. [0003] At present, the research on layering algor...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): B29C64/386B33Y50/00
CPCB29C64/386B33Y50/00
Inventor 鲁聪纪连正杨晓刚王梓越
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products