Influence of Building Parameters on the Dynamic Mechanical Properties of Polycarbonate Fused Deposition Modeling Parts

2014 ◽  
Vol 1 (2) ◽  
pp. 70-77 ◽  
Author(s):  
Miquel Domingo-Espin ◽  
Salvador Borros ◽  
Nuria Agullo ◽  
Andres-Amador Garcia-Granada ◽  
Guillermo Reyes
Keyword(s):  
Mechanical Properties ◽  
Fused Deposition Modeling ◽  
Dynamic Mechanical Properties ◽  
Dynamic Mechanical ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Building Parameters

Parametric analysis and optimization of fused deposition modeling technique for dynamic mechanical properties of acrylic butadiene styrene parts

2021 ◽  
pp. 095440622110478
Author(s):  
Saty Dev ◽  
Rajeev Srivastava
Keyword(s):  
Mechanical Properties ◽  
Genetic Algorithm ◽  
Prediction Error ◽  
Fused Deposition Modeling ◽  
Mechanical Performance ◽  
Loss Modulus ◽  
Dynamic Mechanical Properties ◽  
Dynamic Mechanical ◽  
Fused Deposition ◽  
Deposition Modeling

Fused deposition modeling (FDM) technology is catching the fast global market in the real-time production of polymeric parts. Process variables highly influence the performance characteristics of FDM-generated parts, so mechanical performance is not perfect for all applications. In actual conditions, parts produced by FDM are constantly subjected to loading at different temperatures. The former studies mainly concentrated on the properties of FDM products to static loading environments. There is a scope of effective investigation on the influence of FDM processing conditions on dynamic mechanical properties using artificial intelligence (AI) based techniques. The present study focused on investigation and optimization the manufacturing process parameters to evaluate the dynamic mechanical performance of FDM-produced part. The experimental runs were obtained through central composite design in Minitab software. A DMA8000 instrument was used to test the specimens for dynamic mechanical performance. The mathematical models were developed and optimized through different approaches like response surface methodology-genetic algorithm (RSM-GA) and artificial neural network-genetic algorithm (ANN-GA). The techniques for order preference by similarity to an ideal solution (TOPSIS) is employed to obtain the best parameter settings from sets of optimized solutions. The sequential use of ANN-GA and TOPSIS methods predicted the highest values of storage modulus 1619.61 MPa and loss modulus 257.38 MPa corresponding to 68.94° raster angle, 81.48% infill density, 0.10 mm layer thickness, 237.73°C nozzle temperature and 38.97 mm/s print head speed. The confirmation tests were conducted to validate the predicted result that upscale the desired properties. The RSM-GA-TOPSIS occurred with a prediction error of 2.40% and −3.31%, corresponding to storage and loss modulus. Similarly, ANN-GA-TOPSIS shows 2.17% and 2.89% prediction error corresponding to storage and loss modulus. The experimental and analytical outcome of present study will be helpful for the designers of intricate functional parts which come under thermo-mechanical loading conditions.

Synthesis and properties of modified PBT for FDM

2017 ◽  
Vol 23 (4) ◽  
pp. 804-810 ◽  
Author(s):  
Shiqing Cao ◽  
Dandan Yu ◽  
Weilan Xue ◽  
Zuoxiang Zeng ◽  
Wanyu Zhu
Keyword(s):  
Mechanical Properties ◽  
Impact Strength ◽  
Fused Deposition Modeling ◽  
Complex Structure ◽  
Three Dimensional ◽  
Sebacic Acid ◽  
Wire Drawing ◽  
Content Type ◽  
Fused Deposition ◽  
Deposition Modeling

Purpose The purpose of this paper is to prepare a new modified polybutylene terephalate (MPBT) for fused deposition modeling (FDM) to increase the variety of materials compatible with printing. And the printing materials can be used to print components with a complex structure and functional mechanical parts. Design/methodology/approach The MPBT, poly(butylene terephalate-co-isophthalate-co-sebacate) (PBTIS), was prepared for FDM by direct esterification and subsequent polycondensation using terephthalic acid (PTA), isophthalic acid (PIA), sebacic acid (SA) and 1,4-butanediol (BDO). The effects of the content of PIA (20-40 mol%) on the mechanical properties of PBTIS were investigated when the mole per cent of SA (αSA) is zero. The effects of αSA (0-7mol%) on the thermal, rheological and mechanical properties of PBTIS were investigated at nPTA/nPIA = 7/3. A desktop wire drawing and extruding machine was used to fabricate the filaments, whose printability and anisotropy were tested by three-dimensional (3D) printing experiments. Findings A candidate content of PIA introducing into PBT was obtained to be about 30 per cent, and the Izod notched impact strength of PBTIS increased with the increase of αSA. The results showed that the PBTIS (nPTA/nPIA = 7/3, αSA = 3-5mol%) is suitable for FDM. Originality/value New printing materials with good Izod notched impact strength were obtained by introducing PIA and SA (nPTA/nPIA = 7/3, αSA = 3-5 mol%) into PBT and their anisotropy are better than that of ABS.

Assessing the effect of FDM processing parameters on mechanical properties of PLA parts using Taguchi method

2021 ◽  
pp. 089270572110530
Author(s):  
Nagarjuna Maguluri ◽  
Gamini Suresh ◽  
K Venkata Rao
Keyword(s):  
Mechanical Properties ◽  
Tensile Properties ◽  
Fused Deposition Modeling ◽  
Fracture Strain ◽  
Processing Parameters ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Nozzle Temperature ◽  
Experimental Runs ◽  
Printing Speed

Fused deposition modeling (FDM) is a fast-expanding additive manufacturing technique for fabricating various polymer components in engineering and medical applications. The mechanical properties of components printed with the FDM method are influenced by several process parameters. In the current work, the influence of nozzle temperature, infill density, and printing speed on the tensile properties of specimens printed using polylactic acid (PLA) filament was investigated. With an objective to achieve better tensile properties including elastic modulus, tensile strength, and fracture strain; Taguchi L8 array has been used for framing experimental runs, and eight experiments were conducted. The results demonstrate that the nozzle temperature significantly influences the tensile properties of the FDM printed PLA products followed by infill density. The optimum processing parameters were determined for the FDM printed PLA material at a nozzle temperature of 220°C, infill density of 100%, and printing speed of 20 mm/s.

scholarly journals Dynamic Mechanical Properties of Fused Deposition Modelling Processed Polyphenylsulfone Material

2016 ◽  
Vol 9 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Bolin Huang ◽  
S.H. Masood ◽  
Mostafa Nikzad ◽  
Prabhu Raja Venugopal ◽  
Adhiyamaan Arivazhagan
Keyword(s):  
Mechanical Properties ◽  
Dynamic Mechanical Properties ◽  
Fused Deposition Modelling ◽  
Dynamic Mechanical ◽  
Fused Deposition

scholarly journals Hedysarum coronarium-Based Green Composites Prepared by Compression Molding and Fused Deposition Modeling

Materials ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 465
Author(s):  
Roberto Scaffaro ◽  
Maria Clara Citarrella ◽  
Emmanuel Fortunato Gulino ◽  
Marco Morreale
Keyword(s):  
Mechanical Properties ◽  
Young’S Modulus ◽  
Fused Deposition Modeling ◽  
Young's Modulus ◽  
Compression Molding ◽  
Green Composite ◽  
Fused Deposition ◽  
Hedysarum Coronarium ◽  
Deposition Modeling ◽  
Fibers Orientation

In this work, an innovative green composite was produced by adding Hedysarum coronarium (HC) flour to a starch-based biodegradable polymer (Mater-Bi®, MB). The flour was obtained by grinding together stems, leaves and flowers and subsequently sieving it, selecting a fraction from 75 μm to 300 μm. Four formulations have been produced by compression molding (CM) and fused deposition modeling (FDM) by adding 5%, 10%, 15% and 20% of HC to MB. The influence of filler content on the processability was tested, and rheological, morphological and mechanical properties of composites were also assessed. Through CM, it was possible to obtain easily homogeneous samples with all filler amounts. Concerning FDM, 5% and 10% HC-filled composites proved also easily printable. Mechanical results showed filler effectively acted as reinforcement: Young’s modulus and tensile strengths of the composites increased from 74.3 MPa to 236 MPa and from 18.6 MPa to 33.4 MPa, respectively, when 20% of HC was added to the pure matrix. FDM samples, moreover, showed higher mechanical properties if compared with CM ones due to rectilinear infill and fibers orientation. In fact, regarding the 10% HC composites, Young’s modulus of the CM and FDM ones displayed a relative increment of 176% and 224%, respectively.

scholarly journals EFFECT OF EXTRUSION PROCESS PARAMETERS ON MECHANICAL PROPERTIES OF 3D PRINTED PLA PRODUCT

2021 ◽  
Vol 6 (2) ◽  
pp. 119
Author(s):  
Nanang Ali Sutisna ◽  
Rakha Amrillah Fattah
Keyword(s):  
Mechanical Properties ◽  
Additive Manufacturing ◽  
Fused Deposition Modeling ◽  
Extrusion Process ◽  
Experimental Procedure ◽  
Fused Deposition ◽  
Novel Approach ◽  
Deposition Modeling ◽  
3D Printed ◽  
3D Digital Models

The method of producing items through synchronously depositing material level by level, based on 3D digital models, is named Additive Manufacturing (AM) or 3D-printing. Amongs many AM methods, the Fused Deposition Modeling (FDM) technique along with PLA (Polylactic acid) material is commonly used in additive manufacturing. Until now, the mechanical properties of the AM components could not be calculated or estimated until they've been assembled and checked. In this work, a novel approach is suggested as to how the extrusion process affects the mechanical properties of the printed component to obtain how the parts can be manufactured or printed to achieve improved mechanical properties. This methodology is based on an experimental procedure in which the combination of parameters to achieve an optimal from a manufacturing experiment and its value can be determined, the results obtained show the effect of the extrusion process affects the mechanical properties.

scholarly journals Process Parameter Optimization in Fused Deposition Modeling (FDM) Using Response Surface Methodology (RSM)

2020 ◽  
Author(s):  
Muhammad Salman Mustafa ◽  
Muhammad Qasim Zafar ◽  
Muhammad Arslan Muneer ◽  
Muhammad Arif ◽  
Farrukh Arsalan Siddiqui ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Response Surface Methodology ◽  
Impact Strength ◽  
Response Surface ◽  
Layer Thickness ◽  
Fused Deposition Modeling ◽  
Experimental Results ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Printing Parameters

Abstract Fused Deposition Modeling (FDM) is a widely adopted additive manufacturing process to produce complex 3D structures and it is typically used in the fabrication of biodegradable materials e.g. PLA/PHA for biomedical applications. However, FDM as a fabrication process for such material needs to be optimized to enhance mechanical properties. In this study, dogbone and notched samples are printed with the FDM process to determine optimum values of printing parameters for superior mechanical properties. The effect of layer thickness, infill density, and print bed temperature on mechanical properties is investigated by applying response surface methodology (RSM). Optimum printing parameters are identified for tensile and impact strength and an empirical relation has been formulated with response surface methodology (RSM). Furthermore, the analysis of variance (ANOVA) was performed on the experimental results to determine the influence of the process parameters and their interactions. ANOVA results demonstrate that 44.7% infill density, 0.44 mm layer thickness, and 20C° printing temperatures are the optimum values of printing parameters owing to improved tensile and impact strength respectively. The experimental results were found in strong agreement with the predicted theoretical results.

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