Adaptive Neuro-Fuzzy Inference System for Modelling the Effect of Slurry Impacts on PLA Material Processed by FDM

Saleh, B.; Maher, Ibrahem; Abdelrhman, Yasser; Heshmat, Mahmoud; Abdelaal, Osama

doi:10.3390/polym13010118

Cited by 12 publications

(8 citation statements)

References 31 publications

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“…With regard to additive manufacturing, in recent years, the application of machine learning and soft computing techniques are gaining a growing interest [ 23 ], as can also be observed in studies such as that of Saleh et al [ 24 ], which analyzed the effect of water-silica slurry impacts on polylactic acid (PLA), processed by fused deposition modelling (FDM), by using an ANFIS in which building orientation, layer thickness, and slurry impact angle were the inputs and weight gain resulting from water, net weight gain, and total weight gain were the outputs. In their study, a Taguchi orthogonal array was used for planning the experiments.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, generalized bell membership functions and a Sugeno FIS were also considered in their study. Among their conclusions, the authors found that the ANFIS could adequately predict the effect of slurry impacts on PLA material processed by FDM [ 24 ]. Likewise, Kumar et al [ 25 ] employed a fuzzy inference system combined with the Taguchi philosophy for optimization of the FDM process parameters.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of AM Parameters on Surface Roughness Obtained in PLA Parts Printed with FFF Technology

2021

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Fused filament fabrication (FFF) 3D printing technology allows very complex parts to be obtained at a relatively low cost and in reduced manufacturing times. In the present work, the effect of main 3D printing parameters on roughness obtained in curved surfaces is addressed. Polylactic acid (PLA) hemispherical cups were printed with a shape similar to that of the acetabular part of the hip prostheses. Different experiments were performed according to a factorial design of experiments, with nozzle diameter, temperature, layer height, print speed and extrusion multiplier as variables. Different roughness parameters were measured—Ra, Rz, Rku, Rsk—both on the outer surface and on the inner surface of the parts. Arithmetical mean roughness value Ra and greatest height of the roughness profile Rz are usually employed to compare the surface finish among different manufacturing processes. However, they do not provide information about the shape of the roughness profile. For this purpose, in the present work kurtosis Rku and skewness Rsk were used. If the height distribution in a roughness profile follows a normal law, the Rku parameter will take a value of 3. If the profile distribution is symmetrical, the Rsk parameter will take a value of 0. Adaptive neural fuzzy inference system (ANFIS) models were obtained for each response. Such models are often employed to model different manufacturing processes, but their use has not yet been extended to 3D printing processes. All roughness parameters studied depended mainly on layer height, followed by nozzle diameter. In the present work, as a general trend, Rsk was close to but lower than 0, while Rku was slightly lower than 3. This corresponds to slightly higher valleys than peaks, with a rounded height distribution to some degree.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of AM Parameters on Surface Roughness Obtained in PLA Parts Printed with FFF Technology

2021

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“…FDM products are manufactured by extruding a semimolten filament material through an automatically controlled nozzle mounted in the machine head. The nozzle fuses and extrudes the material while the machine head is moving to deposit the layers of the part (Abdelaal, Heshmat and Abdelrhman, 2020;Peker et al, 2020;Saleh et al, 2021;Heshmat and Adel, 2021).…”

Section: Introductionmentioning

confidence: 99%

Improving surface roughness of polylactic acid (PLA) products manufactured by 3D printing using a novel slurry impact technique

Heshmat¹,

Abdelrhman²

2021

RPJ

Self Cite

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Purpose Fused deposition modeling (FDM) is one of the most adopted additive manufacturing techniques to produce prototypes and/or final parts regardless of geometrical complexity restrictions. One of the most challenging aspects of this technology is the attainable roughness. The purpose of this study is to evaluate the capability of the slurry impacts to improve the surface roughness of parts fabricated using FDM. Moreover, a regression model for predicting the values of surface roughness was developed. Design/methodology/approach The developed technique imposes a silica–water mixture which softens the staircase on the surface and leaves it smoother. The process introduces three main factors: building orientation; layer thickness; and impact angle of the slurry particles. Experimentally, a test rig was used to evaluate the effect of these factors on surface roughness. Statistically, Analysis of variance (ANOVA) and regression analysis were conducted to study the contribution of the individual factors on the roughness. Findings The results reveal that the effect of slurry impacts has a good impact on surface roughness, and the three factors have significant effect on surface roughness. Originality/value This paper contributes to new knowledge by providing a new technique for enhancing the surface roughness of FDMed products. ANOVA and regression analysis is a useful tool to parametrically study the surface roughness in terms of building and testing factors.

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“…However, lack of lubrication during the process could decrease the surface finishing quality and there is no FE modelling for the process. Case hardening of the punch and die can be employed for increasing the surface hardness and in turn enhancing the cladding process [19][20] [21]. In the present work, a cladding process was applied between two tubes, Aluminium and copper tubes are used, using spherical punch with three different spherical tip diameters.…”

Section: Introductionmentioning

confidence: 99%

Investigation of AL/CU Bimetallic Tube Cladding Process by Severe Plastic Deformation

Ali¹,

Soliman

Abdelrhman

et al. 2022

JES. Journal of Engineering Sciences

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A new cladding process is proposed and implemented on a bimetallic tube of copper and aluminum. Obtaining a good mechanical bond between the tube's layers using simple setup components with low required process force and without using heating are the most distinguishing feature of this study. The objective of this paper is to study the effect of using three different spherical tipped punch diameters (21 mm, 21.6 mm, and 22 mm) on the cladding process. A spherical punch with a slightly enlarged spherical tip was pressed into the clad tube. To study the dynamical analysis of the developed process, an FE model was developed using ANSYS workbench®. The bonding of an AL6082T6 Aluminum tube (as the clad tube) to a pure copper tube (as the base tube) was studied. FE analysis results showed that increasing ball tipped punch diameter leads to an increase in the required process force, the deformation magnitude, the equivalent plastic strain, the maximum principal stress, and the maximum principal elastic strain values. The required process force was measured experimentally and by FE simulation for the three different ball tipped punch diameters. The average values of the FE process forces were found to be 21 KN, 39 KN and 48 KN respectively for the mentioned diameters, while experimentally the average forces values were found to be 13.3 KN, 33 KN and 39 KN for the mentioned diameters, respectively. A 10 KN force was required to dismantle the bimetallic tube layers using shear punch test.

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Adaptive Neuro-Fuzzy Inference System for Modelling the Effect of Slurry Impacts on PLA Material Processed by FDM

Cited by 12 publications

References 31 publications

Analysis of AM Parameters on Surface Roughness Obtained in PLA Parts Printed with FFF Technology

Analysis of AM Parameters on Surface Roughness Obtained in PLA Parts Printed with FFF Technology

Improving surface roughness of polylactic acid (PLA) products manufactured by 3D printing using a novel slurry impact technique

Investigation of AL/CU Bimetallic Tube Cladding Process by Severe Plastic Deformation

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