Effects of process parameters on the quality of PLA products fabricated by fused deposition modeling (FDM): surface roughness and tensile strength

2018 ◽  
Vol 60 (5) ◽  
pp. 471-477 ◽  
Author(s):  
Mirigul Altan ◽  
Meltem Eryildiz ◽  
Beril Gumus ◽  
Yusuf Kahraman
Keyword(s):  
Surface Roughness ◽  
Tensile Strength ◽  
Process Parameters ◽  
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.

Parameters Optimization of FDM for the Quality of Prototypes Using an Integrated MCDM Approach

2019 ◽  
pp. 199-220
Author(s):  
Jagadish ◽  
Sumit Bhowmik
Keyword(s):  
Process Parameters ◽  
Shell Thickness ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Parameters Optimization ◽  
Layer Height ◽  
Fused Deposition ◽  
Optimal Setting ◽  
Deposition Modeling

Fused deposition modeling (FDM) is one of the emerging rapid prototyping (RP) processes in additive manufacturing. FDM fabricates the quality prototype directly from the CAD data and is dependent on the various process parameters, hence optimization is essential. In the present chapter, process parameters of FDM process are analyzed using an integrated MCDM approach. The integrated MCDM approach consists of modified fuzzy with ANP methods. Experimentation is performed considering three process parameters, namely layer height, shell thickness, and fill density, and corresponding response parameters, namely ultimate tensile strength, dimensional accuracy, and manufacturing time are determined. Thereafter, optimization of FDM process parameters is done using proposed method. The result shows that exp.no-4 yields the optimal process parameters for FDM and provides optimal parameters as layer height of 0.08 mm, shell thickness of 2.0 mm and fill density of 100%. Also, optimal setting provides higher ultimate TS, good DA, and lesser MT as well as improving the performance and efficiency of FDM.

scholarly journals Preparation of Hydrophobic Surface on PLA and ABS by Fused Deposition Modeling

Polymers ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1539 ◽  
Author(s):  
Huadong Yang ◽  
Fengchao Ji ◽  
Zhen Li ◽  
Shuai Tao
Keyword(s):  
Surface Roughness ◽  
Layer Thickness ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Hydrophobic Coatings ◽  
Fused Deposition ◽  
Filling Method ◽  
Deposition Modeling ◽  
Experiment Analysis ◽  
Printing Speed

In the fields of agriculture, medical treatment, food, and packaging, polymers are required to have the characteristics of self-cleaning, anti-icing, and anti-corrosion. The traditional preparation method of hydrophobic coatings is costly and the process is complex, which has special requirements on the surface of the part. In this study, fused deposition modeling (FDM) 3D printing technology with design and processing flexibility was applied to the preparation of hydrophobic coatings on polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS) parts, and the relationship between the printing process parameters and the surface roughness and wettability of the printed test parts was discussed. The experimental results show that the layer thickness and filling method have a significant effect on the surface roughness of the 3D-printed parts, while the printing speed has no effect on the surface roughness. The orthogonal experiment analysis method was used to perform the wettability experiment analysis, and the optimal preparation process parameters were found to be a layer thickness of 0.25 mm, the Grid filling method, and a printing speed of 150 mm/s.

Improvement in Tensile Strength of FDM Built Parts by Parametric Control

2014 ◽  
Vol 592-594 ◽  
pp. 1075-1079 ◽  
Author(s):  
Swayam Bikash Mishra ◽  
Siba Sankar Mahapatra
Keyword(s):  
Tensile Strength ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Optimal Parameter ◽  
Layer By Layer ◽  
3D Objects ◽  
Fused Deposition ◽  
Solid Models ◽  
Raster Angle ◽  
Deposition Modeling

Fused Deposition Modeling (FDM) is one of the efficient rapid prototyping (RP) technologies that forms 3D objects by adding material layer by layer from CAD generated solid models. However, the FDM built part is hardly anisotropic in nature due to layer-by-layer build mechanism. Literature suggests that mechanical property, especially tensile strength, of FDM built part is severely affected by process parameters. Among all the parameters, contour number happens to be an important parameter because it reduces stress concentration resulting in avoidance of premature breakdown. Therefore, in this work contour number along with five important process parameters such as layer thickness, raster width, part orientation, raster angle and air gap are considered and their effect on tensile strength of FDM built parts is studied. Experiments are conducted using Face Centred Central Composite Design (FCCCD) in order to reduce the experimental runs. An optimal parameter setting has been suggested for the maximisation of tensile strength of the FDM built parts.

scholarly journals A Theoretical and Experimental Research on the Influence of FDM Parameters on Tensile Strength and Hardness of Parts Made of Polylactic Acid

2021 ◽  
Vol 11 (4) ◽  
pp. 7458-7463
Author(s):  
D. G. Zisopol ◽  
I. Nae ◽  
A. I. Portoaca ◽  
I. Ramadan
Keyword(s):  
Tensile Strength ◽  
Rapid Prototyping ◽  
Polylactic Acid ◽  
Experimental Research ◽  
Fused Deposition Modeling ◽  
Plastic Material ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Plastic Parts

Fused Deposition Modeling (FDM) is a rapid prototyping method, widely used in the manufacture of plastic parts with complex geometric shapes. The quality of the parts manufactured by this process depends on the plastic material used and the FDM parameters. In this context, this paper will present the results of a theoretical and experimental research on how FDM parameters influence the tensile strength and hardness of samples made of PLA (Polylactic Acid).

Linear model analysis of fused deposition modeling process parameters for obtaining the maximum tensile strength in acrylonitrile butadiene styrene (ABS) and carbon fiber polylactic acid (PLA) materials

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Debashis Mishra ◽  
Anil Kumar Das
Keyword(s):  
Tensile Strength ◽  
Carbon Fiber ◽  
Layer Thickness ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Thermoplastic Material ◽  
Content Type ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Printing Speed

PurposeThe purpose of the experimental investigation was to optimize the process parameters of the fused deposition modeling (FDM) technique. The optimization of the process was performed to identify the relationship between the chosen factors and the tensile strength of acrylonitrile butadiene styrene (ABS) and carbon fiber polylactic acid (PLA) thermoplastic material, FDM printed specimens. The relationship was demonstrated by using the linear experimental model analysis, and a prediction expression was established. The developed prediction expression can be used for the prediction of tensile strength of selected thermoplastic materials at a 95% confidence level.Design/methodology/approachThe Taguchi L9 experimental methodology was used to plan the total number of experiments to be performed. The process parameters were chosen as three at three working levels. The working range of chosen factors was the printing speed (60, 80 and 100mm/min), 40%, 60% and 80% as the infill density and 0.1mm, 0.2mm and 0.3mm as the layer thickness. The fused deposition modeling process parameters were optimized to get the maximum tensile strength in FDM printed ABS and carbon fiber PLA thermoplastic material specimens.FindingsThe optimum condition was achieved by the process optimization, and the desired results were obtained. The maximum desirability was achieved as 0.98 (98%) for the factors, printing speed 100mm/min, infill density 60mm and layer thickness 0.3mm. The strength of the ABS specimen was predicted to be 23.83MPa. The observed strength value was 23.66MPa. The maximum desirability was obtained as 1 (100%) for the factors, printing speed 100mm/min, infill density 60mm and layer thickness 0.2mm. The strength of the carbon fiber PLA specimen was predicted to be 26.23MPa, and the obtained value was 26.49MPa.Research limitations/implicationsThe research shows the useful process parameters and their suitable working conditions to print the tensile specimens of the ABS and carbon fiber PLA thermoplastics by using the fused deposition modeling technique. The process was optimized to identify the most influential factor, and the desired optimum condition was achieved at which the maximum tensile strength was reported. The produced prediction expression can be used to predict the tensile strength of ABS and carbon fiber PLA filaments.Practical implicationsThe results obtained from the experimental investigation are useful to get an insight into the FDM process and working limits to print the parts by using the ABS and carbon fiber PLA material for various industrial and structural applications.Social implicationsThe results will be useful in choosing the suitable thermoplastic filament for the various prototyping and structural applications. The products that require freedom in design and are difficult to produce by most of the conventional techniques can be produced at low cost and in less time by the fused deposition modeling technique.Originality/valueThe process optimization shows the practical exposures to state an optimum working condition to print the ABS and carbon fiber PLA tensile specimens by using the FDM technique. The carbon fiber PLA shows better strength than ABS thermoplastic material.

scholarly journals Impact of Processing Parameters on the Quality of Pharmaceutical Solid Dosage Forms Produced by Fused Deposition Modeling (FDM)

Pharmaceutics ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 633 ◽  
Author(s):  
Muqdad Alhijjaj ◽  
Jehad Nasereddin ◽  
Peter Belton ◽  
Sheng Qi
Keyword(s):  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Quality Parameters ◽  
Dosage Forms ◽  
Proof Of Concept ◽  
Solid Dosage Forms ◽  
Solid Dosage ◽  
Fused Deposition ◽  
Deposition Modeling

Fused deposition modeling (FDM) three-dimensional (3D) printing is being increasingly explored as a direct manufacturing method to product pharmaceutical solid dosage forms. Despite its many advantages as a pharmaceutical formulation tool, it remains restricted to proof-of-concept formulations. The optimization of the printing process in order to achieve adequate precision and printing quality remains to be investigated. Demonstrating a thorough understanding of the process parameters of FDM and their impact on the quality of printed dosage forms is undoubtedly necessary should FDM advance from a proof-of-concept stage to an adapted pharmaceutical manufacturing tool. This article describes the findings of an investigation into a number of critical process parameters of FDM and their impact on quantifiable, pharmaceutically-relevant measures of quality. Polycaprolactone, one of the few polymers which is both suitable for FDM and is a GRAS (generally regarded as safe) material, was used to print internally-exposed grids, allowing examination of both their macroscopic and microstructural reproducibility of FDM. Of the measured quality parameters, dimensional authenticity of the grids was found to poorly match the target dimensions. Weights of the grids were found to significantly vary upon altering printing speed. Printing temperature showed little effect on weight. Weight uniformity per batch was found to lie within acceptable pharmaceutical quality limits. Furthermore, we report observing a microstructural distortion relating to printing temperature which we dub The First Layer Effect (FLE). Principal Component Analysis (PCA) was used to study factor interactions and revealed, among others, the existence of an interaction between weight/dosing accuracy and dimensional authenticity dictating a compromise between the two quality parameters. The Summed Standard Deviation (SSD) is proposed as a method to extract the optimum printing parameters given all the perceived quality parameters and the necessary compromises among them.

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.

Relation between Surface Roughness and Overlap Interval in Fused Deposition Modeling

2011 ◽  
Vol 264-265 ◽  
pp. 1625-1630 ◽  
Author(s):  
Dae Keon Ahn ◽  
Jin Hwe Kweon ◽  
Jin Ho Choi ◽  
Seok Hee Lee
Keyword(s):  
Surface Roughness ◽  
Manufacturing Process ◽  
Fused Deposition Modeling ◽  
Layered Manufacturing ◽  
Fused Deposition ◽  
Complex Shapes ◽  
Deposition Modeling ◽  
High Level ◽  
Surface Angle

Rapid prototyping (RP) can efficiently fabricate high level models with complex shapes. Hence the RP has been widely applied in various industrial fields. However, as the technology is inherently performed by layered manufacturing process, the surface quality of the RP part is not satisfactory to use general industrial purpose. This is the reason that surface roughness problem has been key issue in RP. In this paper, relation between surface roughness and overlap interval is investigated based on a surface roughness formulation in fused deposition modeling (FDM). Additionally, effects of surface angle and filament shape are analyzed and discussed to predict surface roughness distribution by the overlap interval variation.

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