Process Parameter Optimization of Fused Deposition Modeling for Helical Surfaces Using Grey Relational Analysis

Anusree, T. G.; Nair, Anjan R; Sivadasan, M.; John, Thompson

doi:10.4028/www.scientific.net/msf.879.861

Cited by 14 publications

(12 citation statements)

References 2 publications

(4 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mohamed et al (2016b) proposed I-optimality criteria for the optimization of FDM process parameters. Anusree et al (2017) studied the effect of controlling factors on tensile strength, dimensional accuracy and surface roughness of helical surface of a FDM-fabricated part. Ideal parameter setting was obtained by grey relational analysis.…”

Section: Fused Deposition Modelling Part Quality and Performance Improvementmentioning

confidence: 99%

Fused deposition modelling: a review

Vyavahare

Teraiya

Panghal

et al. 2020

RPJ

259

151

View full text Add to dashboard Cite

Purpose Fused deposition modelling (FDM) is the most economical additive manufacturing technique. The purpose of this paper is to describe a detailed review of this technique. Total 211 research papers published during the past 26 years, that is, from the year 1994 to 2019 are critically reviewed. Based on the literature review, research gaps are identified and the scope for future work is discussed. Design/methodology/approach Literature review in the domain of FDM is categorized into five sections – (i) process parameter optimization, (ii) environmental factors affecting the quality of printed parts, (iii) post-production finishing techniques to improve quality of parts, (iv) numerical simulation of process and (iv) recent advances in FDM. Summary of major research work in FDM is presented in tabular form. Findings Based on literature review, research gaps are identified and scope of future work in FDM along with roadmap is discussed. Research limitations/implications In the present paper, literature related to chemical, electric and magnetic properties of FDM parts made up of various filament feedstock materials is not reviewed. Originality/value This is a comprehensive literature review in the domain of FDM focused on identifying the direction for future work to enhance the acceptability of FDM printed parts in industries.

show abstract

Section: Fused Deposition Modelling Part Quality and Performance Improvementmentioning

confidence: 99%

Fused deposition modelling: a review

Vyavahare

Teraiya

Panghal

et al. 2020

RPJ

259

151

View full text Add to dashboard Cite

show abstract

“…And the reason can be the difference in the desired responses and the difference in the selected material. Another reason could be other selected parameters because all parameters affect each other [23,25,27,28].…”

Section: Confirmation Testmentioning

confidence: 99%

“…The layer thickness of 0.2 mm, the Raster width of 0.55 mm, extrusion temperature 270°C, Bed temperature 100°C, and Printing speed 40 mm/s are optimal conditions. Anusree et al [28] analyzed the effects of four variables, including print speed, layer thickness, support material density, and raster width, on dimensional accuracy, tensile strength, and surface finish of FDM-processed helical surfaces using Taguchi and GRA methods. It was stated that the better dimensional accuracy, tensile strength, and surface finish were obtained by a minimum level of the layer thickness, in a print speed of 58 mm/s, and maximum level of raster width and rough support material.…”

Section: Introductionmentioning

confidence: 99%

Optimization of FFF Processing Parameters to Improve Geometrical Accuracy and Mechanical Behavior of Polyamide 6 Using Grey Relational Analysis (GRA)

Shakeria

Benfriha

Zirak

et al. 2021

Preprint

View full text Add to dashboard Cite

One of the most widely used additive manufacturing (AM) methods is Fused Filament Fabrication (FFF), which can produce complex geometry parts. In this process, a continuous filament of thermoplastic material is deposited layer by layer to make the final piece. One of the essential goals in the production of parts with this method is to produce parts with high mechanical properties and excellent geometrical accuracy at the same time. Among the various methods used to improve the desired properties of produced parts is to determine the optimum process parameters in this process. This paper investigates the effect of different process parameters on four essential parameters: chamber temperature, Printing temperature, layer thickness, and print speed on cylindricity, circularity, strength, Young’s modulus, and deformation by Gray Relational Analysis method simultaneously. Taguchi method was used to design the experiments, and the PA6 cylindrical parts were fabricated using a German RepRap X500® 3D printer. Then the GRG values were calculated for all experiments. In the 8th trial, the highest value of GRG was observed. Then, to discover the optimal parameters, the GRG data were analyzed using ANOVA and S/N analysis, and it was determined that the best conditions for enhancing GRG are 60 °C in the chamber temperature, 270 °C in the printing temperature, 0.1 mm layer thickness, and 600 mm/min print speed. Finally, by using optimal parameters, a verification test was performed, and new components were investigated. Finally, by comparing the initial GRG with the GRG of the experiment, it was discovered that the GRG value had improved by 14%.

show abstract

“…Additionally, it was noted that the dimensions of the 3D printed parts were smaller than the CAD model because of the shrinkage during cooling of the material after the deposition of layer. Nidagundi et al [23], Anusree et al [24], and Wang et al [25] reported that the smallest layer height was determined as the optimal layer height level for the best dimensional accuracy levels of 3D printed ABS parts according to Taguchi's experimental designs. Unlike, the optimal level of layer thickness was decided to be medium level (0.178 mm) in other studies [19,26].…”

Section: Introductionmentioning

confidence: 99%

An Investigation on Dimensional Accuracy of 3D Printed PLA, PET-G and ABS Samples with Different Layer Heights

Bolat

ERGENE

2022

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi

View full text Add to dashboard Cite

In this study, the effect of filament type and layer height on the dimensional accuracy of the 3D printed tensile test samples from PLA, PET-G, and ABS was investigated in depth. Based on the fused filament fabrication (FFF) technology, tensile test samples were produced with various layer heights (0.2 mm, 0.3 mm, and 0.4 mm) while the other printing parameters were kept constant, except for nozzle and building platform temperature. Length, width, and height values of the produced test samples were measured, and obtained results were compared with design dimensions to observe the dimensional accuracy of each sample. Also, surface roughness measurements were performed on the samples to examine their final surface quality. From dimensional measurements, it was seen that the most accurate results were recorded for PET-G (in length and height) and PLA (in width) samples. Furthermore, the best surface quality was attained in PLA samples compared to other filaments.

show abstract

Process Parameter Optimization of Fused Deposition Modeling for Helical Surfaces Using Grey Relational Analysis

Cited by 14 publications

References 2 publications

Fused deposition modelling: a review

Fused deposition modelling: a review

Optimization of FFF Processing Parameters to Improve Geometrical Accuracy and Mechanical Behavior of Polyamide 6 Using Grey Relational Analysis (GRA)

An Investigation on Dimensional Accuracy of 3D Printed PLA, PET-G and ABS Samples with Different Layer Heights

Contact Info

Product

Resources

About