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Selected Works

Professor Fazel Naghdy

2011

Grinding

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

In Process Surface Roughness Estimation In Grinding, Li Xue, Fazel Naghdy, Christopher David Cook Oct 2011

In Process Surface Roughness Estimation In Grinding, Li Xue, Fazel Naghdy, Christopher David Cook

Professor Fazel Naghdy

An intelligent sensor system for on-line estimation of surface roughness in the grinding process is developed. The system consists of a statistical signal processing algorithm and a neuro-fuzzy model of surface roughness. The model is established using a set of experimental data. The sensor signals of acoustic emission CAE), normal force and tangential force generated in grinding zone are acquired online in real time. The surface roughness of the ground workpiece is measured offline and used as the target output of the model. A first order Sugeno-type neuro-fuzzy inference system is employed to optimize the model by minimizing a sum …


Monitoring Of Wheel Dressing Operations For Precision Grinding, Li Xue, Fazel Naghdy, C. Cook Oct 2011

Monitoring Of Wheel Dressing Operations For Precision Grinding, Li Xue, Fazel Naghdy, C. Cook

Professor Fazel Naghdy

In grinding operation, on-line process monitoring of dressing will ensure the quality of the grinding wheel and will achieve reproducible surface finish. The results of a study conducted to evaluate the feasibility and effectiveness of Acoustic Emission (AE) sensors in online monitoring of dressing is reported. Two aspects of the process are addressed. The first is the detection of undesired wheel conditions, such as an out-of-round wheel and wheel contour errors. The other is improving the surface finish of the ground workpiece by monitoring the dressing parameters. Experimental results indicate that AE signal can be effectively used to identify the …