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[HTML][HTML] Mathematical modeling and optimization of fused filament fabrication (FFF) process parameters for shape deviation control of polyamide 6 using Taguchi …
Fused filament fabrication (FFF) is a layer-by-layer additive manufacturing (AM) process for
producing parts. For industries to gain a competitive advantage, reducing product …
producing parts. For industries to gain a competitive advantage, reducing product …
[HTML][HTML] Geometrical and dimensional deviations of fused deposition modelling (FDM) additive-manufactured parts
This research investigates the influence of printing parameters and different materials on the
geometrical and dimensional deviations of Fused Deposition Modelling (FDM) additive …
geometrical and dimensional deviations of Fused Deposition Modelling (FDM) additive …
Supervised Machine Learning Based Classification of Surface Roughness of Fused Deposition Modeling 3D Printed Samples
R Nair, S Joshi, K Dwivedi, B Gadhiya… - Sustainable …, 2024 - taylorfrancis.com
Surface roughness is an important aspect of Fused Deposition Modeling (FDM) 3D printed
parts as it can affect the aesthetic appeal functionality and mechanical properties of the part …
parts as it can affect the aesthetic appeal functionality and mechanical properties of the part …
[PDF][PDF] EXPLORING DIMENSIONAL PRECISION OF PARAMETRICALLY DESIGNED COMPONENTS USING Z-ULTRAT MATERIAL
In this work, we investigated the dimensional accuracy of parametrized parts in the Catia V5
software. We adopted an experimental plan, applying the Taguchi methodology to evaluate …
software. We adopted an experimental plan, applying the Taguchi methodology to evaluate …
[CITAT][C] 161 Supervised Machine Learning Based Classification of Surface Roughness of Fused Deposition Modeling 3D Printed Samples
R Nair, S Joshi, K Dwivedi, B Gadhiya, MS Sapre… - … Materials: The Role of … - CRC Press