Assessment of surface quality on textured FDM prototypes
By A. Armillotta. 2006
151 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computational Mechanics, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/af3b6ba4441c808b9c74fc5e395700d0850a95b4
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
- Yan Wang
- Haixi Wu
- Zhonghua Yu
- Tzu‐Liang Bill Tseng
- Anirban Bhattacharya
- Hoejin Kim
- Ajay Batish
- S. Moylan
In Computational Mechanics
In Industrial and Manufacturing Engineering
- Tzu‐Liang Bill Tseng
- Anirban Bhattacharya
- Hoejin Kim
- Yan Wang
- Haixi Wu
- A. Garg
- Zhonghua Yu
- Yirong Lin
Citations in the corpus
- Real-time FDM machine condition monitoring and diagnosis based on acoustic emission and hidden semi-Markov model (2017, background): “It has been reported that the frequent start-stop sequences of FDM machines affect the product quality [2].”
- On Surface Finish and Dimensional Accuracy of FDM Parts after Cold Vapor Treatment (2016, background): “The influence of build orientation was studied to investigate the surface quality of textured surfaces of FDM parts [7].”
- Proposal for a standardized test artifact for additive manufacturing machines and processes | NIST (2012, background): “Accordingly, several research efforts have focused on the surface roughness of various additive processes [8, 35, 36].”
- A review on quality control in additive manufacturing (2018, background): “Moreover, sinking effects made by contour offsetting, as shown in Figure 7(B), can be avoided when adjacent features are spaced out at least 1 mm away from one another (Armillotta, 2006).”