scispace - formally typeset
Proceedings ArticleDOI

Assessment of grinding wheel conditioning process using machine vision

TLDR
In this article, an attempt has been made to arrive out the number of dressing passes required to dress a grinding wheel based on the texture features of the images of the grinding wheel, and the single point diamond dressing was carried out with selected dressing variables.
Abstract
Assessing the grinding wheel surface condition during dressing is very important in order to decide about the number of dressing passes required to retain the cutting ability of the grinding wheel and also to reduce the wastage of the grinding wheel material. The dressing process removes the loaded particles and brings out the new grains in order to retain the cutting ability of the grinding wheel. The selection of correct dressing parameters and the condition of the dresser are very important to carryout proper dressing. In this work, an attempt has been made to arrive out the number of dressing passes required to dress the grinding wheel based on the texture features of the images of the grinding wheel. The single point diamond dressing was carried out with selected dressing variables. After each pass the images of the grinding wheel was captured in the same location by properly positioning the grinding wheel. Then the images were analyzed and the evaluated texture parameters were used to indicate the condition of the grinding wheel.

read more

Citations
More filters
Journal ArticleDOI

A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine

TL;DR: It is concluded that the proposed sound-based monitoring approach using the OP-ELM model is robust in accurately predicting the grinding belt condition despite grinding dynamics involving contact pressures.
Journal ArticleDOI

A survey of methods for detecting metallic grinding burn

TL;DR: In this paper, the authors comprehensively introduce each of the existing metallic grinding burn detection methods and discuss their applications, advantages, and limitations, as well as the trends of developing methods for detecting metallic Grinding Burn.
Journal ArticleDOI

Grinding wheel redress life estimation using force and surface texture analysis

Kalpana Kannan, +1 more
- 01 Jan 2018 - 
TL;DR: In this article, the authors defined the usefulness of ground surface texture analysis in the estimation of grinding wheel redress time and showed that a good correlation exists between grinding force signals and ground surface images in measuring the wear deterioration level and thus the ground surface features can be considered as an explicit criterion in the redress life estimation.
Proceedings ArticleDOI

An intelligent method to monitor the abrasive belt condition based on sound signals

TL;DR: An innovative method to monitor the abrasive belt condition quantitatively by using grinding sound signals and a back propagation neural network is developed to predict the index measure of grinding ability factor which quantifies the belt wear condition and hence the Material Removal Rate.
References
More filters
Journal ArticleDOI

Monitoring of Dressing and Grinding Processes with Acoustic Emission Signals

TL;DR: In this article, the acoustic emission (AE) signal is used to monitor the dressing process and the grinding process of a grinding wheel, which can be used as a gapeliminator.
BookDOI

Sensors in manufacturing

TL;DR: In this article, the authors discuss the role of monitoring systems in manufacturing and their influence on the development of manufacturing and its influence on sensors, including: Sensors in Manufacturing, Sensors for Machine Tools and Robots, and Features of Workpieces for Process Monitoring (Casting, Forming, Laser Processing, Electrical Discharge Machining, Coating,...)
Journal ArticleDOI

The relation between the traverse dressing of vitrified grinding wheels and their performance

TL;DR: In this paper, a model of the dressing of grinding wheels by diamond blade or single point tools is proposed, based on the statistics of brittle fracture of bonds and grits, and on the geometrical interaction between the grits and the dressing tool.
Journal ArticleDOI

Decision of dressing interval and depth by the direct measurement of the grinding wheel surface

TL;DR: In this article, the authors describe a systematic approach to decide a proper dressing interval and an optimal dressing depth for the working grinding wheel, where an eddy current sensor and a laser displacement sensor are used to measure the loading on the working wheel surface and the topography of the dressed wheel surface respectively.
Journal ArticleDOI

Monitoring of dressing and grinding process with acoustic emission signals.

TL;DR: In this article, the acoustic emission (AE) signal is applied to monitor the dressing process and the grinding process to define the tool life of the grinding wheel, and it is also confirmed that the contact of grinding wheel and workpiece is successfully detected with AE signal.