A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Optimising Parameters of Fused Filament Fabrication Process to Achieve Optimum Tensile Strength Using Artificial Neural Network
2020
Evergreen
Currently, the Additive Manufacturing (AM) process has become the most researched area, leading to a revolution in the manufacturing industries. Among all additive manufacturing techniques, fused filament fabrication (FFF) is famous because simple to use and economical. However, in the FFF process, the final quality of parts depends upon the rigorous selection of process parameters, as it is necessary to understand the physical phenomena of process variables and their impact on the mechanical
doi:10.5109/4068614
fatcat:rmi5jsfhtvds5bzddmcalnmvli