Modeling and analysis of flexural strength with fuzzy logic technique for a fused deposition modeling ABS components

Mamo, Hana Beyene; Tura, Amanuel Diriba; Santhosh, A. Johnson; Ashok, N.; Rao, Dommeti Kamalakara

doi:10.1016/j.matpr.2022.02.306

Cited by 8 publications

(5 citation statements)

References 17 publications

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“…Yüzey pürüzlülüğü tahmin denklemleri için R 2 değeri 0,832 olarak elde edilmiştir. R 2 Sonuç olarak, yüzey pürüzlülüğü ve çekme dayanımı değerleri güven aralığı sınırları içerisindedir ve buna bağlı olarak proses parametrelerinin optimizasyonu 0,05 anlamlılık düzeyinde gerçekleştirilmiştir [24]. Ayrıca, optimizasyon işleminin doğruluğu yüzey pürüzlülüğü ve çekme dayanımı için optimum seviyelerde ve rastgele seviyelerde test edilmiştir.…”

Section: Deneysel Tasarim Ve Opti̇mi̇zasyonunclassified

“…GİRİŞ FDM, kısa sürede karmaşık geometrilerin verimli bir şekilde oluşturmak için çoğunlukla endüstrinin yanı sıra araştırma ve akademik alanlar içinde kullanılan yaygın bir 3D baskı yöntemidir [1]. Büyük bir parçadan malzeme çıkarılarak nihai bir küçük tasarımın elde edildiği geleneksel üretim metodolojilerinin aksine, 3D baskı, katman üzerine katman oluşturarak materyallerin birleştirilmesi ile daha az malzeme israfı ile karmaşık şekillerin oluşturulmasına olanak tanımaktadır [2,3]. Bu teknoloji sayesinde tasarımların bir ön prototipi kolay ve hızlı bir şekilde üretilebilmektedir [4].…”

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“…Bu teknoloji sayesinde tasarımların bir ön prototipi kolay ve hızlı bir şekilde üretilebilmektedir [4]. 3D baskının sayısız avantajından biri de tek bir yapı içinde hareketli parçaları hızlı prototipleme yeteneğidir [2]. Bu teknoloji, ürünlerin pazara sürüm süresini azaltarak endüstriyel üretkenliği artırmaya ve üretim maliyetlerini düşürmeye yardımcı olabilir [5].…”

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FDM Yöntemi̇yle Üreti̇len Abs, Pla Ve Petg Numuneleri̇n Yüzey Pürüzlülüğü Ve Çekme Dayaniminin Modellenmesi̇ Ve Opti̇mi̇zasyonu

KURUOĞLU

Akgün

Demir

2022

International Journal of 3D Printing Technologies and Digital Industry

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The current study examines the influence of ABS, PLA, and PETG filaments and printing parameters on the surface quality and tensile strength of the samples produced using Fused Deposition Modeling (FDM) technology. For this purpose, a print experiment design has been made according to the Taguchi L27 index. While filament material, filling ratio, layer thickness, filling speed, and scanning angle are printing parameters, surface roughness and tensile strength are print quality indicators. Regression analysis has been also applied to mathematically model the surface roughness and tensile strength values obtained from experimental measurements. The outcomes of this study show that the filament material plays an important role in the surface roughness and tensile strength. Moreover, it has been determined that the surface roughness of PLA filament is 7.23% and 54.19% less on average, respectively, compared to ABS and PETG filaments, and also the tensile strength of PLA filament is 46.46% and 34.12% higher compared to other filaments, respectively.

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Section: Deneysel Tasarim Ve Opti̇mi̇zasyonunclassified

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FDM Yöntemi̇yle Üreti̇len Abs, Pla Ve Petg Numuneleri̇n Yüzey Pürüzlülüğü Ve Çekme Dayaniminin Modellenmesi̇ Ve Opti̇mi̇zasyonu

KURUOĞLU

Akgün

Demir

2022

International Journal of 3D Printing Technologies and Digital Industry

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“…Today, Fused Deposition Modeling (FDM) technology has become a widely used technique to produce complex-shaped parts that are difficult to manufacture due to its advantages over traditional methods [1]. Unlike traditional manufacturing methodologies where a final small design is achieved by removing material from a large part, FDM allows complex shapes to be created with less material waste by combining materials layer upon layer [2,3]. This technology can help increase industrial productivity and reduce production costs by reducing time-to-market [4].…”

Section: Introduction (Gi̇ri̇ş)mentioning

confidence: 99%

Analysis and Optimization of Process Parameters Affecting on the Tensile Strength of PLA and Iron-Reinforced PLA Samples Fabricated by Fused Deposition Modeling Method

KURUOĞLU,

AKGÜN,

DEMİR

2023

İmalat Teknolojileri Ve Uygulamaları

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This study focuses on investigating the effect of process parameters on the tensile strength of PLA and iron-reinforced PLA samples produced using FDM technology. Filament material (PLA and iron-reinforced PLA), infill ratio (20, 40 and 60%), layer thickness (0.1, 0.2 and 0.3 mm), printing speed (40, 60 and 80 mm/s) and raster angle (30, 45 and 60°) were selected as process parameters. The experimental design was based on the Taguchi L18 index. Signal-to-Noise (S/N) ratio, variance analysis (Anova) and regression analyses were used to statistically analyze the tensile strength values obtained as a result of experimental measurements. The outcomes of this study show that the filament material plays an important role in tensile strength and iron reinforcement to PLA material decreases the tensile strength and increases the % elongation. The maximum tensile strength was measured as 33.55 MPa at 60% infill rate, 0.3 mm layer thickness, 60 mm/s printing speed and 60° raster angle in PLA filament material, which is the optimum process parameters.

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“…The process variables and their settings have a substantial impact on the mechanical qualities of FDM-printed components. As a result, enhancing the mechanical qualities of printed components requires analyzing the effects of input factors and anticipating results by using adequate settings [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Prediction of Mechanical Properties in a Fused Deposition Modeling Process

2022

Self Cite

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Additive manufacturing, also known as three-dimensional printing, is a computer-controlled advanced manufacturing process that produces three-dimensional items by depositing materials directly from a computer-aided design model, usually in layers. Due to its capacity to manufacture complicated objects utilizing a wide range of materials with outstanding mechanical qualities, fused deposition modeling is one of the most commonly used additive manufacturing technologies. For printing high-quality components with appropriate mechanical qualities, such as tensile strength and flexural strength, the selection of adequate processing parameters is critical. Experimentally, the influence of process parameters such as the raster angle, printing orientation, air gap, raster width, and layer height on the tensile strength of fused deposition modeling printed items was examined in this work. Through analysis of variance, the impact of each parameter was measured and rated. The system’s response was predicted using an adaptive neuro-fuzzy technique and an artificial neural network. In Minitab software, the Box-Behnken response surface experimental design was used to generate 46 experimental trials, which were then printed using acrylonitrile butadiene styrene polymer materials on a three-dimensional forge dreamer II fused deposition modelling printing machine. The results revealed that the raster angle, air gap, and raster width had significant impacts on the tensile strength. The adaptive neuro-fuzzy approach and artificial neural network predicted tensile strength accurately with an average percentage error of 0.0163 percent and 1.6437 percent, respectively. According to the findings, the model and experimental data are in good agreement.

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Modeling and analysis of flexural strength with fuzzy logic technique for a fused deposition modeling ABS components

Cited by 8 publications

References 17 publications

FDM Yöntemi̇yle Üreti̇len Abs, Pla Ve Petg Numuneleri̇n Yüzey Pürüzlülüğü Ve Çekme Dayaniminin Modellenmesi̇ Ve Opti̇mi̇zasyonu

FDM Yöntemi̇yle Üreti̇len Abs, Pla Ve Petg Numuneleri̇n Yüzey Pürüzlülüğü Ve Çekme Dayaniminin Modellenmesi̇ Ve Opti̇mi̇zasyonu

Analysis and Optimization of Process Parameters Affecting on the Tensile Strength of PLA and Iron-Reinforced PLA Samples Fabricated by Fused Deposition Modeling Method

Experimental Investigation and Prediction of Mechanical Properties in a Fused Deposition Modeling Process

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