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IPROMS 2005
IPROMS 2006
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conference programme
Intelligent and Competitive Manufacturing Engineering
AI
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ICME
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iproms2005 conference theme
A correlation between the friction coefficient and the roughness of rolls in a hot flat rolling
Advanced Hybrid Mechatronic Materials for ultra precise and high performance machining systems design
Advanced Ultrasonic System for High Performance Composite Laminate Nondestructive Evaluation
Agent-based multiple supplier tool management system
Application of Artificial Neural Networks in the prediction of quality of wastewater treated by a biological plant
Chip Form Monitoring in Turning Based on Neural Network Processing of Cutting Force Sensor Data
Critical aspects in the application of acoustic emission sensing techniques for robust and reliable tool condition monitoring
Design, CFD simulation and testing of special-purpose nozzles for powder coating guns
Development of an artificial neural network for defects prediction in metal forming
FEM analysis of advanced high strength steel car body drawing process
Flexible tool management strategy for optimum tool inventory control
Neural network material modelling for machining FEM simulation
Open controller enabled by an advanced real-time network
Prediction of machining errors on the geometric accuracy of a milled guide
Reconstruction of 3-D Relief Surfaces from 2-D Images
‹ Acknowledgement
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A correlation between the friction coefficient and the roughness of rolls in a hot flat rolling ›
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