Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …
resulting in vast amounts of data that carry valuable information. Numerous research studies …
[HTML][HTML] Enhancing property prediction and process optimization in building materials through machine learning: A review
Abstract Analysis and design, as the most critical components in material science, require a
highly rigorous approach to assure long-term success. Due to a recent increase in the …
highly rigorous approach to assure long-term success. Due to a recent increase in the …
A systematic literature review on recent trends of machine learning applications in additive manufacturing
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …
efficiently and in a lesser production cycle time as compared to conventional subtractive …
[HTML][HTML] Optimization of FFF process parameters by naked mole-rat algorithms with enhanced exploration and exploitation capabilities
Fused filament fabrication (FFF) has numerous process parameters that influence the
mechanical strength of parts. Hence, many optimization studies are performed using …
mechanical strength of parts. Hence, many optimization studies are performed using …
Machine learning model for predicting the hardness of additively manufactured acrylonitrile butadiene styrene
Additive manufacturing is an incipient technology with great potential to achieve excellent
mechanical properties with minimal material wastage. Additive manufacturing is well known …
mechanical properties with minimal material wastage. Additive manufacturing is well known …
[HTML][HTML] Build orientation optimization based on weighted analysis of local surface region curvature
H Guo, J Xu, S Zhang, G Yi - Applied Sciences, 2020 - mdpi.com
Build orientation becomes a hot issue in 3D printing, which has a significant impact on the
surface quality, support structure and final cost of the fabricated model. In this paper, we …
surface quality, support structure and final cost of the fabricated model. In this paper, we …
Investigations and predictions for mechanical and surface properties of FFF prints using DOE, ML and FEA
In the past two decades, number of studies have been reported on process parametric
optimisation of the fused filament fabrication (FFF) process for polylactic acid-based …
optimisation of the fused filament fabrication (FFF) process for polylactic acid-based …
Optimized printing orientation determination for improving the stiffness of as-printed handles
W Pan, X Chen, W Liu, L Qiao, H Kuang… - Rapid Prototy** …, 2025 - emerald.com
Purpose This study aims to improve the stiffness of as-printed handles by finding appropriate
printing orientations. Design/methodology/approach First, a series of benchmark handles is …
printing orientations. Design/methodology/approach First, a series of benchmark handles is …
Mechanical performance optimization in FFF 3D printing using Taguchi design and machine learning approach with PLA/walnut Shell composites filaments
F Kartal - Journal of Vinyl and Additive Technology, 2025 - Wiley Online Library
This study explores the optimization of mechanical properties in 3D‐printed components
made from a Polylactic Acid (PLA) and Walnut Shell Composite using Fused Filament …
made from a Polylactic Acid (PLA) and Walnut Shell Composite using Fused Filament …
[PDF][PDF] AI-Augmented Finite Difference Methods for Solving PDES: Advancing Numerical Solutions in Mathematical Modeling
J Okwuwe, OE Oduselu-Hassan - Asian Journal of Mathematics …, 2024 - researchgate.net
This study explores the integration of artificial intelligence (AI) with finite difference methods
(FDM) to enhance the numerical solution of partial differential equations (PDEs) in physics …
(FDM) to enhance the numerical solution of partial differential equations (PDEs) in physics …