Optimising Parameters of Fused Filament Fabrication Process to Achieve Optimum Tensile Strength Using Artificial Neural Network
Nawaharsh Weake
Evergreen, 2020
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Modeling the Producibility of 3D Printing in Polylactic Acid Using Artificial Neural Networks and Fused Filament Fabrication
Amir Mosavi
Polymers, 2021
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A machine learning approach to characterise fabrication porosity effects on the mechanical properties of additively manufactured thermoplastic composites
Amadi Gabriel Udu
Journal of Reinforced Plastics and Composites, 2024
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A machine learning case study with limited data for prediction of carbon fiber mechanical properties
Khashayar Badii
Computers in Industry, 2019
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Prediction of Mechanical Properties of PLA Printed by 3D Printing Using Machine Learning Techniques
Liong wei xuan
Liong Wei Xuan , 2021
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Statistical and Experimental Analysis of Process Parameters of 3D Nylon Printed Parts by Fused Deposition Modeling: Response Surface Modeling and Optimization
Ahmad Aminzadeh
Journal of Materials Engineering and Performance
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Correlation Between Process Parameters and Mechanical Properties in Parts Printed by the Fused Deposition Modeling Process
Ehsan Malekipour
Mechanics of Additive and Advanced Manufacturing, 2019
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Experiment-Based Process Modeling and Optimization for High-Quality and Resource-Efficient FFF 3D Printing
Ahmed Elkaseer
Applied Sciences
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High-Performance Polyamide/Carbon Fiber Composites for Fused Filament Fabrication: Mechanical and Functional Performances
Luca Fambri
Journal of Materials Engineering and Performance, 2021
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Modeling Fused Filament Fabrication using Artificial Neural Networks
Dominik Rietzel
Production Engineering, 2021
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A micromechanical approach for predicting effective mechanical properties of Fiber-reinforced polymer (FRP) composites fabricated with 3D printers
Morade OUHSTI
Journal of Engineering Technology, 2018
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Statistical methods for design and testing of 3D-printed polymers
Roland Manalang
MRS Communications
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Advances in machine learning-aided design of reinforced polymer composite and hybrid material systems
Sylvester E M E K A Abonyi
Hybrid Advances , 2023
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Investigation of structure- mechanical property relationship in fused filament fabrication of the polymer composites
Sanjay Kumar
Journal of Micromanufacturing, 2019
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Optimisation of Strength Properties of FDM Printed Parts—A Critical Review
Aidana Seisekulova
Polymers, 2021
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Drivers of mechanical performance variance in 3D ‐printed fused filament fabrication parts: An Onyx FR case study
christine ma
Polymer Composites, 2021
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An Investigation on Process Capability Analysis for Fused Filament Fabrication
Elif Elçin Günay
International Journal of Precision Engineering and Manufacturing, 2019
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Artificial neural network for predicting the mechanical performance of additive manufacturing thermoset carbon fiber composite materials
Faris AL-Oqla
Journal of the Mechanical Behavior of Materials
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Additive manufacturing of fused deposition modeling for carbon fiber-PLA (CF-PLA) composites: The effects of tensile and flexural properties of process parameters
Abhay Mishra, nitin gupta
Functional Composites and Structures, 2021
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Tensile Strength of Commercial Polymer Materials for Fused Filament Fabrication 3-D Printing
Joshua Pearce, Nagendra tanikella
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Mechanical Strength Enhancement of 3D Printed Acrylonitrile Butadiene Styrene Polymer Components Using Neural Network Optimization Algorithm
Nitin Mittal
Polymers
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Machine Learning Based Predictive Model for AFP Based Unidirectional Composite Laminates
Chathura Wanigasekara
IEEE Transactions on Industrial Informatics
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In-Situ Quality Assessment and Control in Fused Filament Fabrication (FFF) Using Laser Surface Profilometer and Deep Learning (DL) Techniques
Jiaqi Lyu
Research Square - Research Square, 2022
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Printing temperature, printing speed and raster angle variation effect in fused filament fabrication
HAFIZAWATI ZAKARIA
IOP Conference Series: Materials Science and Engineering, 2019
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Effect of FDM process parameters on mechanical properties of 3D-printed carbon fibre–PLA composite
ömer şengül
Progress in Additive Manufacturing, 2020
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Investigation into the Development of an Additive Manufacturing Technique for the Production of Fibre Composite Products
Lokesh Bade
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Optimising the FDM additive manufacturing process to achieve maximum tensile strength: a state-of-the-art review
Lars Johanning
Rapid Prototyping Journal
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Evaluation of dimensional accuracy and mechanical behavior of 3D printed reinforced polyamide parts
LARBI LASRI
Procedia Structural Integrity, 2019
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Implementation of Statistical Learning Methods to Develop Guidelines for the Design of PLA–Based Composites with High Tensile Strength Values
Burak Alakent
Industrial & Engineering Chemistry Research
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Experimental, Computational, and Dimensional Analysis of the Mechanical Performance of Fused Filament Fabrication Parts
Miguel Cervera
Polymers, 2021
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Optimization of process parameters in fused filament fabrication (FFF) utilizing poly lactic acid (PLA)
HAFIZAWATI ZAKARIA
IOP Conference Series: Materials Science and Engineering, 2019
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The Efficiency of Using Machine Learning Techniques in Fiber-Reinforced-Polymer Applications in Structural Engineering
Ayah Alkhawaldeh
Sustainability, 2023
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Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives
Ayorinde olanipekun
Engineering, 2019
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Optimization of process parameters of 3D printed thermoplastic elastomeric materials using statistical modeling with particular reference to mechanical properties and print quality
Pratiksha Awasthi
Functional composite materials, 2024
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Machine Learning Models for Predicting and Classifying the Tensile Strength of Polymeric Films Fabricated via Different Production Processes
Rula M Allaf
Materials
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