A study on milling of glass fiber reinforced plastics manufactured by hand-lay up using statistical analysis (ANOVA)

By J. Paulo Davim, P. Reis, C. António. 2004

155 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/1ea4021cd30d682cc859f2097985d7b86ce61f68

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Debes Bhattacharyya
2. R. Lin
3. A. Azmi
4. Fuat Kara
5. Adem Çiçek
6. B. Işık
7. Ömer Erkan

In Industrial and Manufacturing Engineering

1. Debes Bhattacharyya
2. R. Lin
3. A. Azmi
4. Fuat Kara
5. Adem Çiçek
6. B. Işık
7. Ömer Erkan

In Mechanical Engineering

1. Debes Bhattacharyya
2. R. Lin
3. A. Azmi
4. Fuat Kara
5. Adem Çiçek
6. B. Işık
7. Ömer Erkan

Citations in the corpus

• Prediction of Damage Factor in end Milling of Glass Fibre Reinforced Plastic Composites Using Artificial Neural Network (2013, methodology): “It was reported in literature studies that the damage factor increased with an increase in number of flutes [3, 30].”
• Machinability study of glass fibre-reinforced polymer composites during end milling (2013, methodology): “On the contrary, as indicated in the previous studies [12–18], the employed feed rate was reported to be within the range of 200–800 mm/min when machining CFRP composites.”