Machinability study of glass fibre-reinforced polymer composites during end milling

By A. Azmi, R. Lin, Debes Bhattacharyya. 2013

165 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/e54e5ee24fe00d5951b5f7d3cf4684810a7eddce

How researchers see this paper

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

In Biomedical Engineering

1. Fuat Kara
2. Adem Çiçek

In Electrical and Electronic Engineering

1. Fuat Kara
2. Adem Çiçek
3. B. Işık
4. Ömer Erkan

In Mechanical Engineering

1. Fuat Kara
2. Adem Çiçek
3. B. Işık
4. Ömer Erkan

Citations in the corpus

• Prediction of Damage Factor in end Milling of Glass Fibre Reinforced Plastic Composites Using Artificial Neural Network (2013, background): “However, machinability evaluation of GFRP composites in end milling has not yet received its due attention in the research community despite the extensive industrial use of this process [2].”