Monitoring of the condition of diamond grinding wheels using
In this paper an attempt has been made to monitor the condition of diamond grinding wheels by using the AE technique. This was achieved by attaching an acoustic emission sensor to mild steel specimens and imprinting the surface profile of the grinding wheel at different grinding wheel/truing speed ratios and directions.
In this paper an attempt has been made to monitor the condition of diamond grinding wheels by using the AE technique. This was achieved by attaching an acoustic emission sensor to mild steel specimens and imprinting the surface profile of the grinding wheel at different grinding wheel/truing speed ratios and directions.
Online monitoring of diamond grinding wheel wear based on
Utilizing the time sequence of AE samples, a LDA-based monitoring method is proposed to online monitoring the deterioration of diamond grinding wheel’s state. Linear discriminant analysis (LDA) is one of the supervised clustering methods.
This methodology has permitted to classify the grinding wheel topography as either sharp or dull for the specific employed grinding parameters. An attempt was made by Mokbel and Maksoud [5]...
Diamond Grinding Wheel Condition Monitoring Based on Acoustic
This paper is dedicated to AE-based condition monitoring of diamond wheel during grinding brittle materials and feature representation is paid more attention. AE signal of brittle-regime grinding is modeled as a superposition of a series of burst-type AE events.
This paper is dedicated to AE-based condition monitoring of diamond wheel during grinding brittle materials and feature representation is paid more attention. AE signal of brittle-regime grinding is modeled as a superposition of a series of burst-type AE events. Theory analysis manifested that original time waveform and frequency spectrum are
Evaluation of grinding wheel loading phenomena by using
The experimental results show that the proposed measurement method provides a quantitative index from the AE signals to evaluate the grinding wheel loading phenomena online for the grinding mass production process, and this quantitative index is determined via some experiments in advance in the same grinding environment to help the monitoring and
Z. Diamond Grinding Wheel Condition Monitoring Based on Acoustic Emission Signals. Sensors 2021, ... It is knottier for the situation of using diamond wheel grinding optical components, not
Tracking changes in grinding wheel condition using reduced
Monitoring of the condition of diamond grinding wheels using acoustic emission technique. J Mater Process Technol 2000; 101: 292–297. Crossref ISI Google Scholar 11. Chai M, Zhang Z, Duan Q. A new qualitative acoustic emission parameter based on Shannon’s entropy for damage monitoring. Mech Syst Signal Process 2018; 100: 617–629. Crossref
This paper presents a wavelet-based methodology for grinding wheel condition monitoring based on acoustic emission (AE) signals. Grinding experiments in creep feed mode were conducted to grind alumina specimens with a resinoid-bonded diamond wheel using two different conditions.
