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.

The Study of SCF about Cross Shaped Board - Welded Hollow Spherical Joints

2012 ◽  
Vol 446-449 ◽  
pp. 3108-3114
Author(s):  
Jin Feng Jiao ◽  
Hong Gang Lei
Keyword(s):  
Stress Distribution ◽  
Large Diameter ◽  
Hollow Spheres ◽  
Influence Factors ◽  
Small Diameter ◽  
Thick Wall ◽  
The Cross ◽  
Outside Diameter ◽  
Main Influence

In this paper, the main influence factors of stress-concentrated coefficient Kt of cross shaped board-welded hollow spherical joints were analyzed by ANSYS. Through the combination of 17 specifications of welded hollow spheres and 40 specifications of cross shaped boards to form 122 kinds of cross shaped board–welded hollow spherical Joints, the paper mainly analyzed the influence on stress-concentrated coefficient Kt from some factors as follows: the length of the connection of the cross shaped boards (a)、the thickness of the cross shaped boards (t) , the outside diameter of the welded-hollow spheres (D) , the thickness of the spheres (δ), the weld size (hf) and the cross shaped boards which are cut or not. The analysis results showed: the SCF of the joints and some factors（a、t、D、δand hf） in all .A cross shaped board to cut its corner or not affected the stress distribution of the joints and the biggest difference between 12%; In the cross shaped boards connected the same length, when it rises to some degree, the influence of (δ) on ( Kt) is smaller; Along with the thickness of the large diameter welded hollow spheres increases, the slope of the stress-concentrated coefficient Kt increases; It is better to choose the hollow spheres with the small diameter or thick wall, and choose the cross shaped boards which shall be a little thinner, and also increase the connected length between the welded hollow spheres and the cross shaped boards; When the weld size is larger than or equal to 12 millimeters, SCF gently changes.

Bone Scaffold Forming Filament Width Prediction of LDM Based on the Improved BP Neural Network

2013 ◽  
Vol 568 ◽  
pp. 187-192
Author(s):  
Yuan Yuan Liu ◽  
Zhen Zhong Han ◽  
Shu Hui Fang ◽  
Da Li Liu ◽  
Ying Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Pore Size ◽  
Bp Neural Network ◽  
Three Dimensional ◽  
Influence Factors ◽  
Bone Scaffold ◽  
Forming Process ◽  
Size Accuracy ◽  
Forming Precision ◽  
Neural Network Theory

LDM process is used for preparing three-dimensional scaffolds for tissue engineering rapid prototyping technologies. Because of its forming process is complex, which influenced by a variety of factors, so the processing environment is not stable, the forming of scaffold pore size can not be guaranteed, therefore the forming precision is poor. However, the scaffold pore size accuracy is mainly decided by the wire filament width. Neural network theory and development provides a powerful tool for the study of nonlinear systems. This article analyzed the influence factors for forming bone scaffold filament width of LDM process, based on improved BP neural network, using MATLAB software programming, then predicted the filament width. The results show that model prediction error was less than 8%, it has high forecasting precision, and it can be used to guide the LDM process parameter selection and forming precision of prediction.

scholarly journals Application of Rapid Prototyping Technology in the Manufacturing of Turbine Blade With Small Diameter Holes

2018 ◽  
Vol 25 (s1) ◽  
pp. 119-123 ◽  
Author(s):  
Mariusz Deja ◽  
Michał Dobrzyński ◽  
Paweł Flaszyński ◽  
Jacek Haras ◽  
Dawid Zieliński
Keyword(s):  
Rapid Prototyping ◽  
Turbine Blade ◽  
Cross Sections ◽  
Turbine Blades ◽  
Small Diameter ◽  
Direct Metal Laser Sintering ◽  
Longitudinal Vortices ◽  
Micro Holes ◽  
Discharge Method ◽  
Blade Model

Abstract The article presents the possibilities++ of using Rapid Prototyping (RP) technology in the manufacturing of turbine blades with small diameter holes. The object under investigation was gas turbine blade with small diameter cooling holes and holes for generating longitudinal vortices. A turbine blade model was produced by means of Direct Metal Laser Sintering (DMLS) technology and subsequently validated in terms of detection and accuracy of the obtained holes. The application of the computer tomography and digital radiography technique resulted in obtaining a series of cross-sections of the turbine blade model with a series of holes. Particular attention was pointed out at the investigation of the locations of micro-holes with a diameter of 0.3 mm. It turned out that it was impossible to make such small holes by the RP method. In the following part the results of the study on the possibilities of making the micro-holes using electrical discharge method have been presented. In addition, proposition of further works such as the development of the considerations and issues discussed in this article, has been offered.

Research on Error Model of the Al5052 Sheet Stamping Forming Parts

2015 ◽  
Vol 667 ◽  
pp. 149-154
Author(s):  
Li Zhi Gu ◽  
Yun Ma ◽  
Qian Deng
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Influence Factors ◽  
Paper Analysis ◽  
Alloy Sheet ◽  
Forming Process ◽  
Sheet Stamping ◽  
Forming Precision ◽  
Main Factors ◽  
Main Influence

Abstract. How to improve the precision of the stamping forming has been one of the stamping researchers concern in the stamping technology.This paper analysis the material stamping performance of AL5052 aluminum alloy sheet,study the influencing factors of forming precision,and find the the mapping relationship between influence factors and stamping forming to effectively predict the forming error .The first part is to analyze the factors that affect the forming process, then get the main factors that influence the part of stamping forming. And then establish the main influence factors’ mathematical model of stamping forming error based on BP neural network, and through the training of BP neural network to prove the model’s practicability.

The Analysis of Key Influence Factors and Application Countermeasures on Quality of FDM Prototype Model

2010 ◽  
Vol 136 ◽  
pp. 122-125
Author(s):  
Qing Quan Hou ◽  
Can Zhao
Keyword(s):  
Rapid Prototyping ◽  
Room Temperature ◽  
High Efficiency ◽  
Influence Factors ◽  
Prototype Model ◽  
Support Material ◽  
Shrinkage Ratio ◽  
Machining Quality ◽  
Wet Condition

This paper presents a study on the machining quality of prototype model, and points out its important influencing factors including shaping room temperature, shrinkage ratio of material and wet condition of support material and so on. The prototype model was processed by FDM 3000 rapid prototyping machine made by Stratasys, Inc. There are some concrete problems including inappropriate placement orientation, oversize of prototype, and high efficiency of multi-parts manufacture in practice. At the same time, practical methods were given.

scholarly journals Calculation Model and Decoupling Coefficient Sensitivity Study of Periphery Hole for Eccentric Decoupled Charge in Highway Tunnels

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Yuanqing Wang ◽  
Junfeng Liu
Keyword(s):  
Fractured Rock ◽  
Influence Factors ◽  
Small Diameter ◽  
Sensitivity Study ◽  
Calculation Model ◽  
Surrounding Rock ◽  
Fractured Rock Mass ◽  
Emulsion Explosive ◽  
Computational Theory ◽  
Decoupling Coefficient

On the basis of the eccentric decoupled charge form on site and borehole concentric decoupled computational theory, the calculation model of eccentric decoupling charge would be established in the present study. The calculation model takes into account the influence factors such as damage to the surrounding rock, air, and water decoupled media. Besides, based on the proposed calculation model, blasting effect of a small-diameter EJ-102 emulsion explosive is calculated by using ANSYS LS-DYNA. The influence of decoupling coefficient, different rock grade, and different RQD value on blasting effect is obtained by sensitivity analysis of the simulated parameters. Then the calculated results are compared with the empirical results. The blasting parameters of fractured rock mass are also optimized by numerical simulation.

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