Neural Network Modeling and Particle Swarm Optimization (PSO) of Process Parameters in Pulsed Laser Micromachining of Hardened AISI H13 Steel

By Joaquim Ciurana, G. Arias, Tugrul Özel. 2009

201 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/fcf2e9cd89ec0ed462af01943e7210530c8e0e34

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. Pradeep Kumar
2. Natarajan Yuvaraj

In Computational Mechanics

1. Pradeep Kumar
2. Natarajan Yuvaraj

In Mechanical Engineering

1. Pradeep Kumar
2. Natarajan Yuvaraj

Citations in the corpus

• Multiresponse Optimization of Abrasive Water Jet Cutting Process Parameters Using TOPSIS Approach (2015, methodology): “[26] used neural network modeling and PSO in pulsed laser micromachining for hardened AISI H13 steel.”
• Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007-2011) (2012, unknown): “Modeling and optimizing process parameters in pulsed laser micromachining is the main focused in Ciurana, Arias, and Ozel (2009).”