Results 211 to 220 of about 2,408 (240)
Some of the next articles are maybe not open access.

A Model for Grinding Burn

SAE Technical Paper Series, 1997
<div class="htmlview paragraph">Extensive experimental data was collected for CBN surface grinding of M2 tool steel to determine the relative grinding performance of three different vitrified CBN abrasive grit sizes. The results define the relationships between the grinding forces, the material removal rate and the resulting specific energy ...
J. B. Mann   +2 more
openaire   +1 more source

Monitoring of Grinding Burn by AE and Vibration Signals

Proceedings of the 6th International Conference on Agents and Artificial Intelligence, 2014
The grinding process is widely used in surface finishing of steel parts and corresponds to one of the last steps in the manufacturing process. Thus, it’s essential a reliable monitoring of this process. In grinding of metals, the phenomenon of burn is one of the worst faults to be avoided.
Rodolpho F. Godoy Neto   +4 more
openaire   +1 more source

Analytical Modelling of Temperature in Cylindrical Grinding to Predict Grinding Burns

International Journal of Precision Engineering and Manufacturing, 2019
The direct measurement of grinding temperature is always difficult due to coolant cover and very size of work and wheel interaction zone. At the same time, high heat generation in grinding often leads to grinding burns thereby affecting surface integrity; in this context, theoretical evaluation of temperature could facilitate early detection of the ...
Azhar Thanedar   +2 more
openaire   +1 more source

A study of on-line identification for grinding burn

International Journal of Machine Tools and Manufacture, 1992
Abstract Grinding burn is one of the most serious problems affecting the surface integrity of components. The majority of existing methods are based on off-line characteristics, for example residual stress, microhardness and metallography in laboratory conditions, and visual methods for identifying the burned colour in the practical situation. So far,
Huang Ren   +5 more
openaire   +1 more source

Predicting grinding burn using artificial neural networks

Journal of Intelligent Manufacturing, 1997
This paper introduces a method for predicting grinding burn using artificial neural networks (ANN). First, the way to model grinding burn via ANN is presented. Then, as an example, the prediction of grinding burn of ultra-strength steel 300M via ANN is given. Very promising results were obtained.
Hongxing Liu, Tao Chen, Liangsheng Qu
openaire   +1 more source

Development of Non-Destructive Inspection System for Grinding Burn - An Application of the Grinding Burn Detecting Technique to Evaluate Residual Stress

Advanced Materials Research, 2013
This study was performed to develop a non-destructive inspection system to detect grinding burn, which is capable of quantitative 100% inspection inside a production line. An eddy current sensor, which has advantages of short inspection time and low cost, was used.
Ryo Ito   +5 more
openaire   +1 more source

On-line detection of grinding burn by integrated sensing

SIcon/01. Sensors for Industry Conference. Proceedings of the First ISA/IEEE. Sensors for Industry Conference (Cat. No.01EX459), 2002
The increasing demand for quality products necessarily needs complete automation and close monitoring of manufacturing processes. Especially final finishing processes like grinding, which is prone to cause several quality related problems to ground surface like grinding burn; a colour change which seriously affects surface integrity of the ground ...
S.N.A. Saravanapriyan   +2 more
openaire   +1 more source

Camshaft grinding burn detection by acoustic emission

Sensor Review, 1983
This report describes the progress that has been made to date on burn detection by acoustic emission with two‐inch camshafts produced for V6 and V8 engines on a Norton ‘camomatic’ grinding machine used for finish grinding valve cams.
D.A. Roberts, D.L. Leete
openaire   +1 more source

Optimization of grinding depth to avoid grind-induced burns in 35NCD16 alloy

Materials Today: Proceedings, 2022
Shiny Shamma Kota   +2 more
openaire   +1 more source

Detection of Grinding Burn Fault in Bearings by Squeeze Net

2022 30th Signal Processing and Communications Applications Conference (SIU), 2022
Nurdogan Ceylan   +3 more
openaire   +1 more source

Home - About - Disclaimer - Privacy