- Editorial: A brief overview of artificial intelligence applications in machining
- A review of artificial intelligent approaches applied to part accuracy prediction
- Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
- Neural network modelling of forces and indirect prediction of tool wear in turning of grey cast iron with ceramic tool
- FNN based online monitoring of flank wear during turning of EN-31 steel
- ANN based cutting tool condition monitoring system for high-speed turning operations
- Application of neural network and evolutionary algorithm in operation sequencing using datum hierarchy trees
- Prediction and comparison of thrust force and torque in drilling of natural fibre hybrid composite using regression and artificial neural network modelling
- Investigation of optimal machining parameters for turning operation using intelligent techniques
- Data mining approach for selection of plateau honing parameters with dual objectives
- Intelligent process modelling using radial basis neural network
- Modelling of cutting forces as a function of cutting parameters in milling process using regression analysis and artificial neural network
- Intelligent selection of machining parameters in turning of Inconel-718 using multi objective optimisation coupled with MADM
- Predictive modelling of surface roughness and kerf widths in abrasive water jet cutting of Kevlar composites using neural network
6 August 2010
Special issue: Artificial intelligence applied in machining
International Journal of Machining and Machinability of Materials 8(1/2) 2010
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment