An Integrated Approach of Particle Swarm Optimization and Grey Relational Analysis in Multi-Response Optimization of Fused Deposition Modeling

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 23 - 42

Published: June 28, 2024

This study proposes an integrated approach combining grey relational analysis (GRA) and particle swarm optimization (PSO) to optimize process parameters for fused deposition modeling (FDM) 3D printing using polylactic acid (PLA) material. Experimental design based on definitive screening designs (DSD) is employed identify optimal parameters, focusing improving surface finish, dimensional accuracy, impact strength. A regression model, generated DSD, accurately predicts grades (GRG), facilitating efficient optimization. The model's effectiveness validated through evaluation metrics close agreement between actual predicted GRG values. PSO further refines the by efficiently navigating solution space towards superior parameters. comparison GRA reveals refinements in speed, indicating more refined solutions PSO. These findings highlight of enhancing additive manufacturing performance.

Language: Английский

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Shoulder Movement-Centered Measurement and Estimation Scheme for Underarm-Throwing Motions

Sensors, Journal Year: 2024, Volume and Issue: 24(10), P. 2972 - 2972

Published: May 7, 2024

Underarm throwing motions are crucial in various sports, including boccia. Unlike healthy players, people with profound weakness, spasticity, athetosis, or deformity the upper limbs may struggle find it difficult to control their hands hold release a ball using fingers at proper timing. To help them, our study aims understand underarm motions. We start by defining intention terms of launch angle ball, which goes hand-in-hand timing for releasing ball. Then, an appropriate part body is determined order estimate ball-throwing based on swinging motion. Furthermore, geometric relationship between movements and investigated involving multiple subjects. Based confirmed correlation, calibration-and-estimation model that considers individual differences proposed. The proposed consists calibration estimation modules. begin, as module performed, prediction states each subject updated online. module, estimated employing prediction. verify effectiveness model, extensive experiments were conducted seven In detail, two evaluation directions set: (1) how many balls need be thrown advance achieve sufficient accuracy; (2) whether can reach accuracy despite differences. From tests, 20 advance, could account estimation. Consequently, was when focusing shoulder human during throwing. near future, we expect expand means supporting disabled disabilities.

Language: Английский

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An experimental analysis of mechanical properties for a dissimilar pattern structure in the 3-D printing of a PLA5F filament using the Taguchi method

Materials Research Express, Journal Year: 2024, Volume and Issue: 11(10), P. 105304 - 105304

Published: Oct. 1, 2024

Abstract Many automobile components and machine parts can be fabricated using the Fused Deposition Modeling (FDM) process with materials such as Polylactic Acid (PLA), Acrylonitrile Butadiene Styrene (ABS), Polyethylene Terephthalate Glycol (PET-G), polymeric composite (e.g., PLA carbon fiber, glass fiber). In this study, a new material was natural flax fiber analysed for tensile stress, elongation, impact load resistance Taguchi Analysis. This analysis optimized printing parameters, including layer thickness (0.15, 0.25, 0.35 mm), nozzle movement speed (80, 100, 120 mm s −1 ), filling structure (Lines - a, Triangular b, Octet c), occupancy rate (20%, 40%, 60%). The American Society Testing Materials (ASTM) standards strength (ASTM D638) D256) were used evaluation. As result, found to most effective variable improving characteristics, compared extruder temperature, rate, or pattern. Mechanical properties of 0.25 mm, an ratio 20% bottom 2nd 40% top 4th layer, triangular octet structures, 100 , temperature 200 °C are considered appropriate parameters producing automotive in Three Dimensional (3D) Printing. Due its resistance, these settings utilized potential application wide variety vehicle components.

Language: Английский

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