Optimization of FDM printing process parameters on surface finish, thickness, and outer dimension with ABS polymer specimens using Taguchi orthogonal array and …

JS Chohan, R Kumar, A Yadav… - Mathematical …, 2022 - Wiley Online Library
Fused deposition modelling (FDM) is a technique of additive manufacturing used to fabricate
a 3D (three‐dimensional) model with layer‐by‐layer deposition of required materials with …

[HTML][HTML] Modeling the producibility of 3D printing in polylactic acid using artificial neural networks and fused filament fabrication

MS Meiabadi, M Moradi, M Karamimoghadam… - Polymers, 2021 - mdpi.com
Polylactic acid (PLA) is a highly applicable material that is used in 3D printers due to some
significant features such as its deformation property and affordable cost. For improvement of …

[HTML][HTML] Mechanical response of additively manufactured foam: A machine learning approach

R Neelam, SA Kulkarni, HS Bharath, S Powar… - Results in …, 2022 - Elsevier
This paper uses ensemble and automated machine learning algorithms to predict the
mechanical properties (tensile and flexural strength) of a three-dimensionally printed (3DP) …

Predicting tensile strength of material extrusion parts during the pre-process using neural networks

C Schmidt, F Berchtold, R Griesbaum, JT Sehrt… - … International Journal of …, 2023 - Springer
Quantitative quality characteristics of additive manufactured parts are influenced by
parameters selected in the preparation process (pre-process), especially in the material …

Quality prediction of fused deposition molding parts based on improved deep belief network

H Dong, X Gao, M Wei - Computational Intelligence and …, 2021 - Wiley Online Library
Tensile strength, warping degree, and surface roughness are important indicators to
evaluate the quality of fused deposition modeling (FDM) parts, and their accurate and stable …

Improvement of tensile strength of fused deposition modelling (FDM) part using artificial neural network and genetic algorithm techniques

VC Boppana, F Ali - … Journal of Industrial Engineering and Operations …, 2024 - emerald.com
Purpose This paper presents an experimental investigation in establishing the relationship
between FDM process parameters and tensile strength of polycarbonate (PC) samples …

Study of parametric interaction during fused filament fabrication (FFF) using interpretive structural modelling (ISM) followed by experimental analysis

S Sharma, S Datta, T Roy, SS Mahapatra - Rapid Prototyping Journal, 2023 - emerald.com
Purpose Fused filament fabrication (FFF) is a type of additive manufacturing (AM) based on
materials extrusion. It is the most widely practiced AM route, especially used for polymer …

Optimizing parameters for additive manufacturing: a study on the vibrational performance of 3D printed cantilever beams using material extrusion

SC Ekerer, C Boğa, M Seyedzavvar… - Rapid Prototyping …, 2025 - emerald.com
Purpose This study aims to investigate the impact of different printing parameters on the free
vibration characteristics of 3D printed cantilever beams. Through a comprehensive analysis …

Impact of processing parameters on fatigue life of fused filament fabricated parts: application of central composite design and genetic algorithm tools

BV Chowdary, AA Bob - International Journal of Rapid …, 2021 - inderscienceonline.com
Generally, components tend to fail due to cyclic loading; therefore study of fatigue life of
products is a critical issue. The purpose of this study is to develop a predictive model relating …

An experimental and numerical effort on the vibration behavior of additively manufactured recycled polyethylene terephthalate glycol components

Ç Bolat, A Çebi, S Maraş… - Polymer Engineering & …, 2024 - Wiley Online Library
The importance of recycling engineering components and thus obtaining low‐cost
production solutions has become prominent in today's world. In this study, the mechanical …