The Influence of Data Process on Forming Precision of SLA Rapid Prototyping

2012 ◽  
Author(s):  
Yang Min ◽  
Zhu Chengjun ◽  
Li Xiaojing ◽  
Wang Di
Keyword(s):  
Rapid Prototyping ◽  
Data Process ◽  
Forming Precision

The Research on Macro Charged Jet Phenomenon and its Orderly Collection

2011 ◽  
Vol 121-126 ◽  
pp. 1156-1159
Author(s):  
Yuan Yuan Liu ◽  
Qing Wei Li ◽  
Qing Xi Hu ◽  
Chang Juan Jing ◽  
Qiang Gao Wang
Keyword(s):  
Rapid Prototyping ◽  
Influence Factors ◽  
Small Diameter ◽  
Rotating Disk ◽  
Linear Motion ◽  
Injection Speed ◽  
Collection Device ◽  
Forming Precision

Macro charged jet molding combines with Rapid Prototyping and electrospinning together, it solved the problem of insufficient forming precision with RP molding and the difficulty of collection with electrospinning which caused by highly injection speed and small diameter. This article talks about Macro charged jet phenomena of PEO solution and its influence factors through experiment, detected diameter of the shoot fluid by using microscope, measured micro-injection speed by using the rotating disk with linear motion collection device, achieved orderly collection of Macro charged jet with different diameter and injection speed.

Adaptive Slicing Algorithm Based on STL Model

2013 ◽  
Vol 288 ◽  
pp. 241-245 ◽  
Author(s):  
Xiao Di Pan ◽  
Kun Chen ◽  
Zheng Yan Zhang ◽  
Ding Fang Chen ◽  
Tao Tao Li
Keyword(s):  
Rapid Prototyping ◽  
Topological Information ◽  
Adaptive Slicing ◽  
Stl Model ◽  
Forming Precision ◽  
Intersection Points ◽  
The Relationship

An adaptive slicing algorithm based on stereo lithography (STL) model was proposed in order to improve the forming precision of product in rapid prototyping. In the algorithm, the topological information of STL model was established, and the relationship between triangle facet and vertexes was constructed. And the adaptive slicing process based on STL model was implemented using the proposed method with combination of intersection points tracking and marking. The slicing thickness was automatically calculated according to the area differential ratio of adjacent slices.

Research of Fused Deposition Modeling Process Oriented Component Design

2015 ◽  
Vol 1095 ◽  
pp. 828-832 ◽  
Author(s):  
Zi Fan Huang ◽  
Yue Long Ma ◽  
Jia Hai Wei ◽  
Ai Qiong Pan ◽  
Jun Liu
Keyword(s):  
Rapid Prototyping ◽  
Fused Deposition Modeling ◽  
Reference Value ◽  
Design For Manufacturing ◽  
Fused Deposition ◽  
Component Design ◽  
Forming Precision ◽  
Deposition Modeling ◽  
Process Oriented ◽  
Low Efficiency

In the process of Fused Deposition molding (Fused Deposition Modeling, FDM), because the 3 d design is disconnected with manufacturing (or process), and prototype and precision is influenced by many factors, there are many disadvantages such as much design rework, difficult processing, low efficiency and high cost. Based on the concept of Design for Manufacturing ((Design for Manufacturing, DFM), this paper analyzes several factors that influence the forming accuracy, and puts forward the corresponding solutions to improve rapid prototyping manufacture parts strength and forming precision, combined with the actual rapid prototyping processing. It has certain reference value in the study of parameter selection and structure improvement of FDM process oriented component design.

Medical rapid prototyping (MRP) in adult- and paediatric cardiac surgery

2011 ◽  
Vol 59 (S 01) ◽  
Author(s):  
R Sodian ◽  
S Haeberle ◽  
S Weber ◽  
T Lueth ◽  
A Beiras-Fernandez ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Rapid Prototyping ◽  
Paediatric Cardiac Surgery

Digitalization system of ancient architecture decoration art based on neural network and image features

2020 ◽  
pp. 1-12
Author(s):  
Wu Xin ◽  
Qiu Daping
Keyword(s):  
Neural Network ◽  
Construction Industry ◽  
Three Dimensional ◽  
Performance Testing ◽  
Image Features ◽  
Three Dimensional Model ◽  
Performance Effect ◽  
Data Process ◽  
And Performance ◽  
Construction Mode

The inheritance and innovation of ancient architecture decoration art is an important way for the development of the construction industry. The data process of traditional ancient architecture decoration art is relatively backward, which leads to the obvious distortion of the digitalization of ancient architecture decoration art. In order to improve the digital effect of ancient architecture decoration art, based on neural network, this paper combines the image features to construct a neural network-based ancient architecture decoration art data system model, and graphically expresses the static construction mode and dynamic construction process of the architecture group. Based on this, three-dimensional model reconstruction and scene simulation experiments of architecture groups are realized. In order to verify the performance effect of the system proposed in this paper, it is verified through simulation and performance testing, and data visualization is performed through statistical methods. The result of the study shows that the digitalization effect of the ancient architecture decoration art proposed in this paper is good.

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