Multi-Objective Optimization for FDM Process Parameters with Evolutionary Algorithms

Yodo, Nita; Dey, Arup

doi:10.1007/978-3-030-68024-4_22

Cited by 15 publications

(11 citation statements)

References 44 publications

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“…4, the best bottom surface quality was achieved when the printing speed was set at the lowest value (60 mm/sec). This result seemed to agree with the suggestion that surface quality was improved when printing speed was low (Yodo and Dey, 2021). Moreover, if the FFF was operated at higher printing speed, Ra (bottom) linearly increased until printing speed reached 100 mm/sec.…”

Section: Bottom Surface Roughnesssupporting

confidence: 89%

Surface Roughness Reduction in A Fused Filament Fabrication (FFF) Process using Central Composite Design Method

Kandananond

2022

Production Engineering Archives

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The objective of this study is to optimize the fabrication factors of a consumer-grade fused filament fabrication (FFF) system. The input factors were nozzle temperature, bed temperature, printing speed, and layer thickness. The optimization aims to minimize average surface roughness (Ra) indicating the surface quality of benchmarks. In this study, Ra was measured at two positions, the bottom and top surface of benchmarks. For the fabrication, the material used was the Polylactic acid (PLA) filament. A response surface method (RSM), central composite design (CCD), was utilized to carry out the optimization. The analysis of variance (ANOVA) was calculated to explore the significant factors, interactions, quadratic effect, and lack of fit, while the regression analysis was performed to determine the prediction equation of Ra. The model adequacy checking was conducted to check whether the residual assumption still held. The total number of thirty benchmarks was fabricated and measured using a surface roughness tester. For the bottom surface, the analysis results indicated that there was the main effect from only one factor, printing speed. However, for the top surface, the ANOVA signified an interaction between the printing speed and layer thickness. The optimal setting of these factors was also recommended, while the empirical models of Ra at both surface positions were also presented. Finally, an extra benchmark was fabricated to validate the empirical model.

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Section: Bottom Surface Roughnesssupporting

confidence: 89%

Surface Roughness Reduction in A Fused Filament Fabrication (FFF) Process using Central Composite Design Method

Kandananond

2022

Production Engineering Archives

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“…The studied parameters by the proposed computational model provide insight and understanding of how these process parameters tune the properties such as voids and mechanical properties. To optimize the entire FDM method, the proposed model could be combined with the optimization algorithm enhancing the effectiveness of the model (Chohan et al , 2022; Fountas and Vaxevanidis, 2021; Yodo and Dey, 2021). Future research is directed toward developing the optimized model by using algorithms in conjunction with the developed computational model.…”

Section: Resultsmentioning

confidence: 99%

Geometric void-multiscale model for evaluating the effect of bead width and layer height on voids in FDM parts

Sheikh

Behdinan

2023

RPJ

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Purpose This paper aims to present a geometrical void model in conjunction with a multiscale method to evaluate the effect of interraster distance, bead (raster) width and layer height, on the voids concentration (volume) and subsequently calculate the final mechanical properties of the fused deposition modeling parts at constant infill. Design/methodology/approach A geometric model of the voids inside the representative volume element (RVE) is combined with a two-scale asymptotic homogenization method. The RVEs are subjected to periodic boundary conditions solved by finite element (FE) to calculate the effective mechanical properties of the corresponding RVEs. The results are validated with literature and experiments. Findings Bead width from 0.2 to 0.3 mm, reported a decrease of 25% and 24% void volume for a constant layer height (0.1 and 0.2 mm – 75% infill). It is reported that the void’s volume increased up to 14%, 32% and 36% for 75%, 50% and 25% infill by varying layer height (0.1–0.2 and 0.3 mm), respectively. For elastic modulus, 14%, 9% and 10% increase is reported when the void’s volume is decreased from 0.3 to 0.1 mm at a constant 75% infill density. The bead width and layer height have an inverse effect on voids volume. Originality/value This work brings values: a multiscale-geometric model capable of predicting the voids controllability by varying interraster distance, layer height and bead width. The idealized RVE generation slicer software and Solidworks save time and cost (<10 min, $0). The proposed model can effectively compute the mechanical properties together with the voids analysis.

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“…These algorithms have been based on the findings obtained from their implementation in operating computer numerical control (CNC) equipment. Some practical algorithms for FFF have been the robot path optimization for machining [35], the Genetic Algorithm (GA) for the reduction of tool travel time without adding value to the component (tool air time) [36], the GA for optimization of the operating parameters and reduction of operating times [37,38], recently Yodo & Dey [39] presented their proposal for multi-objective optimization based on evolutionary algorithms.…”

Section: Optimization Algorithmmentioning

confidence: 99%

Structural and Dimensional Analysis by Computed Tomography of Multi Geometric Template Manufactured by Fused Deposition Modeling

Aguilar-Duque¹,

Ontiveros²,

Báez-López³

et al. 2023

Preprint

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During the last decade of the 20th century, there has been significant growth in the applications and development of manufacturing processes associated with Additive Manufacturing (AM). The evolution of production systems has made it possible that today there are more than 20 technologies associated with this production system. As a consequence of the development of AM, strategies have been developed to optimize the printing process focused on reducing manufacturing time, such as using Genetic Algorithms (GA). The effect caused by the modification of the path patterns is an effect of interest in two aspects; on the one hand, the dimensional assurance focused on the compliance of the dimensions of the components in comparison with the digital design of the same, and on the other hand, the structural composition and resistance that the printing process itself can generate. This paper aims to present the effect of optimizing the path of Fused Filament Fabrication (FFF) equipment on the dimensional finish and structural quality of a multi-geometric component. For this purpose, a template composed of 23 geometric elements, printed by FFF technology, using PLA as base material, is used. The dimensional analysis is performed using Geomagic software, and the porosity analysis is performed using VG Studio software concerning the 134 attributes of interest. The results show, on the one hand, a 12% reduction in the total process time required to print the component. On the other hand, using Computed Tomography (CT), it was identified the effect on the dimensional precision of printing three elements with characteristics associated with the angular precision or definition of external angles and the roundness demanded by an unsupported cantilevered arch. In addition, it was possible to ensure that the structural quality of the multi-geometric component was not affected by the modification of the path required by the printing process.

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Multi-Objective Optimization for FDM Process Parameters with Evolutionary Algorithms

Cited by 15 publications

References 44 publications

Surface Roughness Reduction in A Fused Filament Fabrication (FFF) Process using Central Composite Design Method

Surface Roughness Reduction in A Fused Filament Fabrication (FFF) Process using Central Composite Design Method

Geometric void-multiscale model for evaluating the effect of bead width and layer height on voids in FDM parts

Structural and Dimensional Analysis by Computed Tomography of Multi Geometric Template Manufactured by Fused Deposition Modeling

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