Grinding Acoustic Emission
Mostrando 1-12 de 15 artigos, teses e dissertações.
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1. Influence of water in the MQL technique in the grinding of steel AISI 4340 using CBN wheels
Abstract Usually, machining employs cooling methods to avoid high temperatures. In most cases, the cutting fluid is applied with high flow and low pressures. This technique consumes a large amount of cutting fluid that causes serious problems in the environment and in the health of the worker. An alternative to the conventional cooling method is the Minimum
REM, Int. Eng. J.. Publicado em: 2018-07
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2. Utilization of teflon and aluminum oxide for wheel cleaning in Minimum Quantity Lubrication (MQL) grinding
Researches concerning cooling-lubrication optimization in grinding have been conducted to contribute to a more sustainable process. An alternative to flood coolant is minimum quantity lubrication (MQL), which spray oil droplets in a compressed air jet. However, problems related to wheel cleaning were reported, due to wheel loading by a mixture of chips and o
Mat. Res.. Publicado em: 05/11/2013
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3. Determination of the relative position between grinding wheel and a cylindrical workpiece on a 7 axis grinding machine by acoustic emission
The contact between grinding wheel and workpiece in the grinding process is recognized by acoustic emission (AE). Two acoustic emission monitoring systems (MS) were integrated into a 3 axis CNC grinding machine. A laptop allows the signal acquisition and visualization. The acquired AE RMS signals from the contact between tool and workpiece are analyzed permi
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2012-03
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4. Influence of optimized lubrication-cooling and minimum quantity lubrication on the cutting forces, on the geometric quality of the surfaces and on the micro-structural integrity of hardened steel parts
The is paper presents an analysis of the influence of minimum quantity lubrication (MQL), optimized and conventional cooling, using different cutting fluid volumes and flow rates, on the surface quality and integrity of hardened steel workpieces, in cylindrical plunge grinding with superabrasive CBN grinding wheels. The final quality of the workpieces were e
Matéria (Rio de Janeiro). Publicado em: 2011
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5. Analysis of forecasting capabilities of ground surfaces valuation using artificial neural networks
Industry worldwide has been marked by intense competition in recent years, placing companies under ever increasing pressure to improve the efficiency of their product processes. In addition to efficiency, precision is an extremely important factor, allowing companies to maintain standards and procedures aligned with international standards. One of the finish
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2010-06
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6. Monitoring of operations the rectification using sensors of fusion / Monitoramento de operações de retificação usando fusão de sensores
The present study deals with an experimental analysis of a monitoring system based on a sensor fusion strategy applied to a cylindrical grinding machine. It comprises a fusion of the power and acoustic emission signals and has as main goal to obtain the FAP (Fast Abrasive Power) using the method developed by Valente (2003). Initially, the power and acoustic
Publicado em: 2007
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7. Automatic system for thermal damage detection in manufacturing process with internet monitoring
This work involved the development of a smart system dedicated to surface burning detection in the grinding process through constant monitoring of the process by acoustic emission and electrical power signals. A program in Visual Basic® for Windows® was developed, which collects the signals through an analog-digital converter and further processes them usi
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2006-06
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8. In-process grinding monitoring through acoustic emission
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 carried out for 15 runs in a surface grinding machine operating with an aluminum oxide grinding wheel and ABNT 1045 Steel as work material. T
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2006-03
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9. Study of thresholds to burning in surface grinding process
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 generate a control signal to inform the operator or interrupt the process in the case of burning occurrence. The thresholds that dictate the
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2005-06
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10. Analysis of the cutting fluid influence on the deep grinding process with a CBN grinding wheel
The application of cutting fluid in a deep grinding process is becoming more and more important, mainly where the cutting fluids are used as an "external" agent to the grinding conditions. The role of the fluid in grinding operations is in refrigeration of the workpiece, removal of the shavings, lubrication of the grinding zone, and refrigeration and cleanin
Materials Research. Publicado em: 2004-09
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11. Analysis of the influence of infeed rate and cutting fluid on cylindrical grinding processes using a conventional wheel
New worldwide trends such as globalization have rendered grinding processes increasingly important for industry, making it essential to perform in-depth studies of variations in grinding process parameters in the pursuit of greater cost effectiveness. This paper presents a comparative analysis of three different infeed rates, using a conventional grinding wh
Materials Research. Publicado em: 2004-09
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12. Uma contribuição para o monitoramento de retificação cilindrica de mergulho / A contribution to cylindrical plunge grinding monitoring
The main goal of this work is to verify the feasibility of employing artificial neural networks to analyse signals from several sensors (acoustic emission, vibration and electric current) attached to the tailstock of a cylindrical plunge grinding machine in order to increase the accuracy of the automatic decision of the wheel dressing momento A second goal i
Publicado em: 1999