Optimization of fused deposition modeling process parameters: a review of current research and future prospects
By O. Mohamed, Syed H. Masood, Jahar Bhowmik. Advances in Manufacturing, 2015
1,342 citations recorded by the source corpus.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/857c953dcab9ba24249e5ac36f7b0977bfb4ff76
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Marcin P. Serdeczny
- David Bue Pedersen
- Jon Spangenberg
- Raphaël Comminal
- Weilong Cong
- P. Senthil
- S. Vinodh
- N. Jayanth
In Industrial and Manufacturing Engineering
In Mechanical Engineering
- Marcin P. Serdeczny
- David Bue Pedersen
- Raphaël Comminal
- Jon Spangenberg
- Weilong Cong
- P. Senthil
- S. Vinodh
- N. Jayanth
Citations in the corpus
- Controlling toughness and strength of FDM 3D-printed PLA components through the raster layup (2020, background): “and the resulting material toughness appears still unexplored [5,18,19].”
- Fatigue performance of fused filament fabrication PLA specimens (2018, methodology): “It has been successfully applied to other experimental research focused on FDM parts [34].”
- Additive manufacturing of carbon fiber-reinforced plastic composites using fused deposition modeling: Effects of process parameters on tensile properties (2017, methodology): “), etc.(29,32) According to the preliminary results, raster angle, infill speed, nozzle temperature, and layer thickness were selected as the major FDM process parameters.”