Now showing items 1-4 of 4
Fuzzy logic to predict thermal damages of ground parts
(Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010, 2010-07-20) [Trabalho apresentado em evento]
One of the critical problems in implementing an intelligent grinding process is the automatic detection of workpiece surface burn. This work uses fuzzy logic as a tool to classify and predict burn levels in the grinding ...
Anfis applied to the prediction of surface roughness in grinding of advanced ceramics
(Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2011, 2011-12-01) [Trabalho apresentado em evento]
This paper introduces a methodology for predicting the surface roughness of advanced ceramics using Adaptive Neuro-Fuzzy Inference System (ANFIS). To this end, a grinding machine was used, equipped with an acoustic emission ...
In-process grinding monitoring through acoustic emission
(Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2006-01-01) [Artigo]
This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding processes. To accomplish such a goal, an experimental work was ...
Monitoring the dressing operation in the grinding process
(International Journal of Machining and Machinability of Materials, 2009-03-03) [Artigo]
This work was based on a methodology of development and experimentation, and involved monitoring the dressing operation by processing the acoustic emission and electric power signals to detect the optimal dressing moment. ...