scholarly journals Influence of SLA rapid prototyping process parameters on the forming precision

2016 ◽  
Author(s):  
Yaru Shi ◽  
Yan Cao ◽  
Yongming Wang ◽  
Liang Huang
Keyword(s):  
Rapid Prototyping ◽  
Process Parameters ◽  
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.

Study Regarding the Influence of the Printing Orientation Angle on the Mechanical Behavior of Parts Manufactured by Material Jetting

2021 ◽  
Vol 58 (3) ◽  
pp. 198-209
Author(s):  
Vasile Cojocaru ◽  
Doina Frunzaverde ◽  
Dorian Nedelcu ◽  
Calin-Octavian Miclosina ◽  
Gabriela Marginean
Keyword(s):  
Additive Manufacturing ◽  
Rapid Prototyping ◽  
Tensile Test ◽  
Mechanical Behavior ◽  
Process Parameters ◽  
Orientation Angle ◽  
Tensile Tests ◽  
Anisotropic Behavior ◽  
Optimization Of Process Parameters ◽  
Printed Materials

Initially developed as a rapid prototyping tool for project visualization and validation, the recent development of additive manufacturing (AM) technologies has led to the transition from rapid prototyping to rapid manufacturing. As a consequence, increased attention has to be paid to the mechanical, chemical and physical properties of the printed materials. In mechanical engineering, the widespread use of AM technologies requires the optimization of process parameters and material properties in order to obtain components with high, repeatable and time-stable mechanical properties. One of the main problems in this regard is the anisotropic behavior of components made by additive manufacturing, determined by the type of material, the 3D printing technology, the process parameters and the position of the components in the printing space. In this paper the influence of the printing orientation angle on the tensile behavior of specimens made by material jetting is investigated. The aim was to determine if the positioning of components at different angles relative to the X-axis of the printer (and implicitly in relation to the multijet printing head) contributes to anisotropic behavior. The material used was a photopolymer with a mechanical strength between 40 MPa and 55 MPa, according to the producer. Four sets of tensile test specimens were manufactured, using flat build orientation and positioned on the printing table at angles of 0˚, 30˚, 60˚ and 90˚ to the X-axis of the printer. Comparative analysis of the mechanical behavior was carried out by tensile tests and microscopic investigations of the tensile test specimens fracture surfaces.

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.

Study on the Process Parameters of MPAW-Based Rapid Prototyping

2007 ◽  
Vol 353-358 ◽  
pp. 1931-1934
Author(s):  
Wurikaixi Aiyiti ◽  
Wan Hua Zhao ◽  
Yi Ping Tang ◽  
Bing Heng Lu
Keyword(s):  
Rapid Prototyping ◽  
Process Parameters ◽  
Gas Flow ◽  
Scanning Speed ◽  
Part Quality ◽  
R Ratio ◽  
Feeding Speed ◽  
Wire Feeding ◽  
The Impact

A direct metal RP (rapid prototyping) process based on micro-plasma arc welding (MPAW) is presented. The impact of R (ratio of width to height of the deposited track’s cross-section) on part quality is investigated. Taguchi method is adopted to analyze the effect of each process parameter on R, and the optimized process parameters are obtained. The results show that the quality of the parts with larger R is better than that with smaller R, and the peak current, duty cycle of pulse duration, wire-feeding speed, scanning speed and plasma gas flow rate all exert significant effects on R. The overlapped surface smoothness, tensile strength and elongation of the parts fabricated with optimized parameters are measured to show obviously better performances than those of the parts fabricated with ordinary process parameters.

An Optimization Design for Coefficient of Weld Reinforcement in Rapid Prototyping Based on Robotic Pulse MAG Forming

2012 ◽  
Vol 217-219 ◽  
pp. 2148-2153
Author(s):  
Xue Wei Huang ◽  
Sun Ing Bao ◽  
Jing Wang
Keyword(s):  
Rapid Prototyping ◽  
Process Parameters ◽  
Welding Speed ◽  
Feed Rate ◽  
Optimization Design ◽  
Orthogonal Design ◽  
Arc Length ◽  
Range Analysis ◽  
Pulse Correction ◽  
Wire Feed

During the process of rapid prototyping based on robotic pulse MAG forming, the coefficient of weld reinforcement is crucial to the geometric accuracy and mechanical property of metallic parts. The orthogonal design method, as well as the range analysis and variance analysis, were applied in this article to study the effects of wire feed rate, welding speed, pulse correction and arc length correction on coefficient of weld reinforcement, finding out the factors which were significant to the coefficient of weld reinforcement and optimizing the process parameters. The experimental results show that the order of the significance of parameters is as following: the welding speed, the arc length correction, the wire feed rate, and the pulse correction. Among them, the welding speed and arc length correction have the greatest influence on the coefficient of weld reinforcement, as is 0.025. The optimal process parameters are: arc length correction 8%, welding speed 14mm/s, wire feed rate 7.2m/min and pulse correction 0. At the same time, the coefficient of weld reinforcement is between 2.94 and 3.00, as the degree of confidence is 97.5%.

Technical Characters and Influencing Factors for Precision of Rapid Prototyping

2011 ◽  
Vol 179-180 ◽  
pp. 869-874
Author(s):  
Dong Man Yu ◽  
Jia Ping Liu ◽  
Chang Pei Shang
Keyword(s):  
Rapid Prototyping ◽  
Influencing Factors ◽  
Process Parameters ◽  
Lower Cost ◽  
Forming Process ◽  
Manufacture Technology ◽  
Significant Performance ◽  
Working Principle ◽  
Application Fields ◽  
Digital Manufacture

Fabrication pioneer production with lower cost and shorter cycle is a major mission for an enterprise, and rapid prototyping is a digital manufacture technology based on discrete stacking, which can meet the requirement. Rapid prototyping technology can be used to machine complex physical part directly from CAD data without any cutter or technical equipments. The paper summaries the working principle and compares the application fields, machining cost and process parameters for four typical rapid prototyping technology. Finally, the significant performance of rapid prototyping for modern industry is discussed, and the merits and faults is analysed. The investigation is beneficial for choosing an optimal forming process in industry.

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