Technical Development of Hybrid Rapid Tooling Technology

2013 ◽  
Vol 664 ◽  
pp. 830-834
Author(s):  
Chil Chyuan Kuo ◽  
Sheng Jie Su ◽  
Shiou Ru Shiu
Keyword(s):  
Surface Roughness ◽  
Tensile Strength ◽  
Fused Deposition Modeling ◽  
Rapid Tooling ◽  
Manufacturing Cost ◽  
Improvement Rate ◽  
Composite Surface ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Tooling Technology

The surface finish of fused deposition modeling (FDM) processed part is excessively rough due to stair stepping effect. In addition, the tensile strength of rapid tooling fabricated by FDM is inferior to that fabricated by plastic injection molding. A hybrid rapid tooling technology is developed to improve the surface roughness and increase the tensile strength of rapid tooling fabricated by FDM using epoxy-based composite in this work. Improvement rate of tensile strength of rapid tooling is 2.34 times of the add rate of epoxy-based composite. Surface roughness improvement rate of up to 92.94% can be achieved. Hybrid rapid tooling technology owns low manufacturing cost, simple manufacturing process and good flexibility.

Comparative Analysis of Different Methods of Rapid Tooling

2005 ◽  
Vol 475-479 ◽  
pp. 2873-2876
Author(s):  
Charles Martin ◽  
J.V. Sasutil ◽  
M. Kouhkan ◽  
E. Lorea ◽  
Rafiq Noorani
Keyword(s):  
Surface Roughness ◽  
Fused Deposition Modeling ◽  
Selective Laser Sintering ◽  
Dimensional Accuracy ◽  
Laser Sintering ◽  
Rapid Tooling ◽  
Composite Manufacturing ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Overall Performance

The purpose of this experiment was to compare different techniques that help improve conventional tooling. The methods investigated were chosen from both the methods of Rapid Tooling: direct and indirect. Six different methods were selected including, Sand Casting, Investment Casting, Fused Deposition Modeling (FDM), Direct Composite Manufacturing (DCM), Selective Laser Sintering (SLS), and Stereolithography (SLA). Several industrial corporations were contacted to help complete all six tests. Five parameters were selected for the comparison of these samples: dimensional accuracy, tensile strength, surface roughness, time for completion, and weight. Through comparison the strengths and weaknesses of each method was determined. It was found that different methods did better in various parameters. However, Selective Laser Sintering (SLS) seemed to have the best overall performance.

Influence of Part Orientation on the Surface Roughness in the Process of Fused Deposition Modeling

2021 ◽  
Vol 896 ◽  
pp. 29-37
Author(s):  
Ján Milde ◽  
František Jurina ◽  
Jozef Peterka ◽  
Patrik Dobrovszký ◽  
Jakub Hrbál ◽  
...  
Keyword(s):  
Surface Roughness ◽  
3D Printing ◽  
Fused Deposition Modeling ◽  
Orientation Angle ◽  
Acrylonitrile Butadiene Styrene ◽  
Lower Surface ◽  
Geometrical Model ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Part Orientation

The article focused on the influence of part orientation on the surface roughness of cuboid parts during the process of fabricating by FDM technology. The components, in this case, is simple cuboid part with the dimensions 15 mm x 15mm x 30 mm. A geometrical model is defined that considers the shape of the material filaments after deposition, to define a theoretical roughness profile, for a certain print orientation angle. Five different print orientations in the X-axis of the cuboid part were set: 0°, 30°, 45°, 60°, and 90°. According to previous research in the field of FDM technology by the author, the internal structure (infill) was set at the value of 70%. The method of 3D printing was the Fused Deposition Modeling (FDM) and the material used in this research was thermoplastic ABS (Acrylonitrile butadiene styrene). For each setting, there were five specimens (twenty five prints in total). Prints were fabricated on a Zortrax M200 3D printer. After the 3D printing, the surface “A” was investigated by portable surface roughness tester Mitutoyo SJ-210. Surface roughness in the article is shown in the form of graphs (Fig.7). Results show increase in part roughness with increasing degree of part orientation. When the direction of applied layers on the measured surface was horizontal, significant improvement in surface roughness was observed. Findings in this paper can be taken into consideration when designing parts, as they can contribute in achieving lower surface roughness values.

Effect of slicing parameters on surface roughness of fused deposition modeling prints

2021 ◽  
Author(s):  
Gurmaheshinder Singh Sandhu ◽  
Kamaljit Singh Boparai ◽  
Kawaljit Singh Sandhu
Keyword(s):  
Surface Roughness ◽  
Fused Deposition Modeling ◽  
Fused Deposition ◽  
Deposition Modeling

Effect of process parameters on flexural strength and surface roughness in fused deposition modeling of PC-ABS material

2021 ◽  
pp. 251659842110311
Author(s):  
Shrikrishna Pawar ◽  
Dhananjay Dolas1
Keyword(s):  
Surface Roughness ◽  
Flexural Strength ◽  
Response Surface ◽  
Layer Thickness ◽  
Process Parameters ◽  
Surface Finish ◽  
Fused Deposition Modeling ◽  
Build Orientation ◽  
Fused Deposition ◽  
Deposition Modeling

Fused deposition modeling (FDM) is one of the most commonly used additive manufacturing (AM) technologies, which has found application in industries to meet the challenges of design modifications without significant cost increase and time delays. Process parameters largely affect the quality characteristics of AM parts, such as mechanical strength and surface finish. This article aims to optimize the parameters for enhancing flexural strength and surface finish of FDM parts. A total of 18 test specimens of polycarbonate (PC)-ABS (acrylonitrile–butadiene–styrene) material are printed to analyze the effect of process parameters, viz. layer thickness, build orientation, and infill density on flexural strength and surface finish. Empirical models relating process parameters with responses have been developed by using response surface regression and further analyzed by analysis of variance. Main effect plots and interaction plots are drawn to study the individual and combined effect of process parameters on output variables. Response surface methodology was employed to predict the results of flexural strength 48.2910 MPa and surface roughness 3.5826 µm with an optimal setting of parameters of 0.14-mm layer thickness and 100% infill density along with horizontal build orientation. Experimental results confirm infill density and build orientation as highly significant parameters for impacting flexural strength and surface roughness, respectively.

scholarly journals Improvement of Surface Roughness and Hydrophobicity in PETG Parts Manufactured via Fused Deposition Modeling (FDM): An Application in 3D Printed Self–Cleaning Parts

Materials ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2499 ◽  
Author(s):  
Juan M. Barrios ◽  
Pablo E. Romero
Keyword(s):  
Surface Roughness ◽  
Contact Angle ◽  
Flow Rate ◽  
Fused Deposition Modeling ◽  
Light Emitting Diode ◽  
P Value ◽  
Sliding Angle ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Self Cleaning

The fused deposition modeling (FDM) technique is used today by companies engaged in the fabrication of traffic signs for the manufacture of light-emitting diode LED spotlights. In this sector, the surface properties of the elements used (surface finish, hydrophobic features) are decisive because surfaces that retain little dirt and favor self–cleaning behavior are needed. A design of experiments (L27) with five factors and three levels has been carried out. The factors studied were: Layer height (LH), print temperature (T), print speed (PS), print acceleration (PA), and flow rate (F). Polyethylene terephthalate glycol (PETG) specimens of 25.0 × 25.0 × 2.4 mm have been printed and, in each of them, the surface roughness (Ra,0, Ra,90), sliding angle (SA0, SA90), and contact angle (CA0, CA90) in both perpendicular directions have been measured. Taguchi and ANOVA analysis shows that the most influential variables in this case are printing acceleration for Ra, 0 (p–value = 0.052) and for SA0 (p–value = 0.051) and flow rate for Ra, 90 (p–value = 0.001) and for SA90 (p–value = 0.012). Although the ANOVA results for the contact angle are not significant, specimen 8 (PA = 1500 mm/s2 and flow rate F = 110%) and specimen 10 (PA =1500 mm/s2 and F = 100%) have reached contact angle values above or near the limit value for hydrophobia, respectively.

Tensile Strength and Flexural Strength Testing of Acrylonitrile Butadiene Styrene (ABS) Materials for Biomimetic Robotic Applications

2014 ◽  
Vol 20 ◽  
pp. 11-21 ◽  
Author(s):  
Tran Linh Khuong ◽  
Zhao Gang ◽  
Muhammad Farid ◽  
Rao Yu ◽  
Zhuang Zhi Sun ◽  
...  
Keyword(s):  
Tensile Strength ◽  
3D Printing ◽  
Rapid Prototyping ◽  
Fused Deposition Modeling ◽  
Acrylonitrile Butadiene Styrene ◽  
Printing Technology ◽  
3D Printing Technology ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Butadiene Styrene

Biomimetic robots borrow their structure, senses and behavior from animals, such as humans or insects, and plants. Biomimetic design is design ofa machine, a robot or a system in engineeringdomain thatmimics operational and/orbehavioral model of a biological system in nature. 3D printing technology has another name as rapid prototyping technology. Currently it is being developed fastly and widely and is applied in many fields like the jewelry, footwear, industrial design, architecture, engineering and construction, automotive, aerospace, dental and medical industry, education, geographic information system, civil engineering, guns. 3D printing technology is able to manufacture complicated, sophisticated details that the traditional processing method cannot manufacture. Therefore, 3D printing technology can be seen as an effective tool in biomimetic, which can accurately simulate most of the biological structure. Fused Deposition Modeling (FDM) is a technology of the typical rapid prototyping. The main content of the article is the focusing on tensile strength test of the ABS-Acrylonitrile Butadiene Styrene material after using Fused Deposition Modeling (FDM) technology, concretization after it’s printed by UP2! 3D printer. The article focuses on two basic features which are Tensile Strength and Determination of flexural properties.

Influence of Built Orientation on Mechanical Properties in Fused Deposition Modeling

2014 ◽  
Vol 592-594 ◽  
pp. 400-404 ◽  
Author(s):  
Sandeep V. Raut ◽  
Vijaykumar S. Jatti ◽  
T.P. Singh
Keyword(s):  
Mechanical Properties ◽  
Rapid Prototyping ◽  
Fused Deposition Modeling ◽  
Polymer Materials ◽  
Manufacturing Cost ◽  
Layer By Layer ◽  
Total Cost ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Main Material

Fused deposition modeling (FDM) is one of the thirty techniques of rapid prototyping methods that produce prototypes from polymer materials (natural or with different grades). Acrylonitrile butadiene styrene (ABS) is one of the good material among all polymer materials. It is used in the layer by layer manufacturing of the prototype which is in the semi-molten plastic filament form and built up on the platform from bottom to top. In FDM, one of the critical factor is to select the built up orientation of the model since it affects the different areas of the model like main material, support material, built up time, total cost per part and most important the mechanical properties of the part. In view of this, objective of the present study was to investigate the effect of the built-up orientation on the mechanical properties and total cost of the FDM parts. Experiments were carried out on STRATASYS FDM type rapid prototyping machine coupled with CATALYST software and ABS as main material. Tensile and Impact specimens were prepared as per the ASTM standard with different built-up orientation and in three geometrical axes. It can be concluded from the experimental analysis that built orientation has significant affect on the tensile, impact and total cost of the FDM parts. These conclusions will help the design engineers to decide on proper build orientation, so that FDM parts can be fabricated with good mechanical properties at minimum manufacturing cost.

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