Optimization of FDM process parameters for dual extruder 3d printer using Artificial Neural network

Giri, Jayant; Shahane, Pranay; Jachak, Shrikant; Chadge, Rajkumar; Giri, Pallavi

doi:10.1016/j.matpr.2021.01.899

Cited by 43 publications

(29 citation statements)

References 11 publications

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“…This issue poses a challenge in terms of superficial integrity and dimensional accuracy and has been recognized as a major concern in employing AM technologies for final part applications [ 5 ]. For this reason, monitoring, modeling, and compensation for surface roughness in AM have become popular fields of research [ 6 , 7 , 8 , 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Chemical, Thermal, and Mechanical Post-Process of Fused Filament Fabricated Polyetherimide Parts for Surface Quality Enhancement

2021

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Additive manufacturing technologies are increasingly being used in production systems because they shorten product development time and production cost, but surface integrity remains a limitation to meet the standards set by conventional manufacturing. In this research article, two chemical, one thermal, and three mechanical finishing operations are proposed to post-process fused filament fabricated Ultem 9085 parts. Their effects on the parts’ surface quality and dimensional accuracy (changes in their width, height, length, and mass) are examined through optical and electron scanning microscopy, and the advantages and disadvantages of each method are discussed. Microscope evaluation has proven to be a powerful tool to observe apparent differences and understand the nature of different morphological changes. Results indicate that chemical and thermal treatments and ball burnishing are good candidates to significantly enhance the finish of the parts, despite requiring the use of solvents or provoking dimensional changes to the parts. The effects of abrasive mechanical treatments are more moderate at a macroscopic scale, but the surface of the filaments suffers the most remarkable changes.

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Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Chemical, Thermal, and Mechanical Post-Process of Fused Filament Fabricated Polyetherimide Parts for Surface Quality Enhancement

2021

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“…Researchers use di erent optimization techniques like response surface methodology (RSM) [35], Taguchi method [36], full factorial [36] and fractional factorial [37], Gray relation [38], arti cial neural network (ANN) [39], fuzzy logic [40], genetic algorithm [41], and more others to optimize a number of the process parameters for improving tensile properties. It is also essential to be able to forecast how the parts will perform when applied to mechanical loads to assess their appropriateness for a given application.…”

Section: Previous Work and Analysis On The Optimization Of Fdm Proces...mentioning

confidence: 99%

A Comprehensive Review on the Optimization of the Fused Deposition Modeling Process Parameter for Better Tensile Strength of PLA-Printed Parts

Medibew

2022

Advances in Materials Science and Engineering

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Fused Deposition Modeling (FDM) is a kind of Additive Manufacturing technology, which can produce complex parts by adding layer-by-layer mold automatically from 3D computer-aided design (CAD) data. Although the FDM process has its obvious merits, a fundamental backward factor of its professional enterprise acceptance is the inadequacy of higher mechanical properties and heavy structure of the manufactured product. For that reason, the properties of the manufactured product by FDM are highly dependent upon the choice of FDM parameters. Several studies are investigated to look at the effect of various FDM process parameters to improve print quality characteristics such as mechanical properties, build time, dimensional accuracy, and surface finish of the manufactured parts with having convenient process parameter settings. However, the progress has been gradual and not well organized because of the complex attributes of the FDM process and conflicting process parameters. This paper aims to comprehensively summarize recent studies of advanced statistical and experimental design techniques for better tensile strength of polylactic acid (PLA)-printed parts, the effect of process parameters on tensile strength, and the existing work on the optimization of process parameters.

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“…There are many AM processes, such as selective laser sintering (SLS) [ 13 ], fused deposition modelling (FDM) [ 14 ], direct metal deposition (DMD) [ 15 ], laminated object manufacturing (LOM) [ 16 ], ink jet modelling (IJM) [ 17 ], and stereo-lithography (SLA) [ 18 ]. These procedures differ in printing material, process parameters, precision level, and end-use application [ 19 ]. FDM, also known as fused filament fabrication (FFF), is very well used in 3D printing.…”

Section: Introductionmentioning

confidence: 99%

Fused Deposition Modelling of Polymer Composite: A Progress

et al. 2022

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Additive manufacturing (AM) highlights developing complex and efficient parts for various uses. Fused deposition modelling (FDM) is the most frequent fabrication procedure used to make polymer products. Although it is widely used, due to its low characteristics, such as weak mechanical properties and poor surface, the types of polymer material that may be produced are limited, affecting the structural applications of FDM. Therefore, the FDM process utilises the polymer composition to produce a better physical product. The review’s objective is to systematically document all critical information on FDMed-polymer composite processing, specifically for part fabrication. The review covers the published works on the FDMed-polymer composite from 2011 to 2021 based on our systematic literature review of more than 150 high-impact related research articles. The base and filler material used, and the process parameters including layer height, nozzle temperature, bed temperature, and screw type are also discussed in this review. FDM is utilised in various biomedical, automotive, and other manufacturing industries. This study is expected to be one of the essential pit-stops for future related works in the FDMed-polymeric composite study.

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Optimization of FDM process parameters for dual extruder 3d printer using Artificial Neural network

Cited by 43 publications

References 11 publications

A Comparative Analysis of Chemical, Thermal, and Mechanical Post-Process of Fused Filament Fabricated Polyetherimide Parts for Surface Quality Enhancement

A Comparative Analysis of Chemical, Thermal, and Mechanical Post-Process of Fused Filament Fabricated Polyetherimide Parts for Surface Quality Enhancement

A Comprehensive Review on the Optimization of the Fused Deposition Modeling Process Parameter for Better Tensile Strength of PLA-Printed Parts

Fused Deposition Modelling of Polymer Composite: A Progress

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