Now showing items 1-6 of 6
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 ...
Avaliação do diafragma piezelétrico de baixo custo no monitoramento do processo de retificação plana tangencial
(Revista Materia, 2017-01-01) [Artigo]
The machining processes are of extreme importance for the manufacture of mechanical parts, the parts demand high dimensional and geometric precision and quality in its construction. Among the machining processes, the ...
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. ...
Study of thresholds to burning in surface grinding process
(Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2005-04-01) [Artigo]
This work aims at finding out the threshold to burning in surface grinding process. Acoustic emission and electric power signals are acquired from an analog-digital converter and processed through algorithms in order to ...
Tool condition monitoring of aluminum oxide grinding wheel in dressing operation using acoustic emission and neural networks
(Journal Of The Brazilian Society Of Mechanical Sciences And Engineering, 2015-03-01) [Artigo]
The grinding operation gives workpieces their final finish, minimizing surface roughness through the interaction between the abrasive grains of a tool (grinding wheel) and the workpiece. However, excessive grinding wheel ...
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 ...