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Artificial neural network algorithms for 3D printing
Additive manufacturing with an emphasis on 3D printing has recently become popular due
to its exceptional advantages over conventional manufacturing processes. However, 3D …
to its exceptional advantages over conventional manufacturing processes. However, 3D …
Directed Energy Deposition via Artificial Intelligence‐Enabled Approaches
Additive manufacturing (AM) has been gaining pace, replacing traditional manufacturing
methods. Moreover, artificial intelligence and machine learning implementation has …
methods. Moreover, artificial intelligence and machine learning implementation has …
[HTML][HTML] The influence of the printing temperature and the filament color on the dimensional accuracy, tensile strength, and friction performance of FFF-printed PLA …
The printing variable least addressed in previous research aiming to reveal the effect of the
FFF process parameters on the printed PLA part's quality and properties is the filament color …
FFF process parameters on the printed PLA part's quality and properties is the filament color …
[HTML][HTML] Analysis of fused filament fabrication parameters for sliding wear performance of carbon reinforced polyamide composite material fabricated parts using a …
Carbon-reinforced nylon composite material (PA12CF20), ie, polyamide, has been widely
used in the automotive, medical, and electronics industries for fabricating functional parts …
used in the automotive, medical, and electronics industries for fabricating functional parts …
Optimization of FDM 3D printing parameters for high strength PEEK using the Taguchi method and experimental validation
CP Jiang, YC Cheng, HW Lin, YL Chang… - Rapid Prototy** …, 2022 - emerald.com
Purpose Polyetheretherketone (PEEK) is used to manufacture biomedical implants because
it has a high strength-to-weight ratio and high strength and is biocompatible. However, the …
it has a high strength-to-weight ratio and high strength and is biocompatible. However, the …
Development of artificial intelligence‐based neural network prediction model for responses of additive manufactured polylactic acid parts
Fused deposition modeling (FDM) is one of the most economical and popular technology
amongst numerous additive manufacturing techniques. The quality of FDM fabricated parts …
amongst numerous additive manufacturing techniques. The quality of FDM fabricated parts …
Applications of additive manufacturing in biomedical and sports industry
The fabrication of fully functional active components via additive manufacturing, also known
as 3D printing, has progressed beyond mere prototype. With composites, metals, ceramics …
as 3D printing, has progressed beyond mere prototype. With composites, metals, ceramics …
Multiobjective optimization of tribological characteristics of 3D printed texture surfaces for ABS and PLA Polymers
In this paper, the 3D-printed textured samples are fabricated using fused deposition
modelling (FDM) process for two different polymers such as ABS and PLA. The primary …
modelling (FDM) process for two different polymers such as ABS and PLA. The primary …
An experimental study of FDM parameter effects on ABS surface quality: roughness analysis
Fused deposition modelling has become one of the most popular extrusion additive
manufacturing technologies over the last decades, since it is easy to handle and user …
manufacturing technologies over the last decades, since it is easy to handle and user …
Optimization of process variables for additive manufactured PLA based tensile specimen using taguchi design and artificial neural network (ANN) technique
Fused filament fabrication (FFF) is one of the additive manufacturing processes which is
used widely due to its ease of usage and low cost. The final quality of parts in the FFF …
used widely due to its ease of usage and low cost. The final quality of parts in the FFF …