Dynamic Characteristics Analysis of Diamond Saw Blade with Multi-Hole Base and Different Segment Width

2008 ◽  
Vol 375-376 ◽  
pp. 369-374 ◽  
Author(s):  
Ying Ning Hu ◽  
Cheng Yong Wang ◽  
Shan Shan Hu ◽  
Bang Dao Chen ◽  
Chang Xiong Chen
Keyword(s):  
Acoustic Emission ◽  
Cutting Parameters ◽  
Distribution Analysis ◽  
Workpiece Material ◽  
Emission Signal ◽  
Sawing Force ◽  
Characteristics Analysis ◽  
Nature Frequency ◽  
Diamond Saw ◽  
Saw Blade

By FEM module analysis and temperature distribution analysis of diamond saw blade with multi-holes base and different segment width, influence of different hole diameter, hole number and segment width to nature frequency is clear. Adopted single-factor test, sawing force and acoustic emission signal are measured by cutting several kinds of strength concrete in different cutting parameters. The analysis to characters of sawing force and acoustic emission helps to find out optimum structure of diamond saw blade with different segment width, more rational sawing parameter and its adaptability to workpiece material.

Dry-Cutting Concrete Study of Diamond Saw Blade with Different Segment Width

2006 ◽  
Vol 532-533 ◽  
pp. 321-324 ◽  
Author(s):  
Shan Shan Hu ◽  
Cheng Yong Wang ◽  
Bang Dao Chen ◽  
Ying Ning Hu
Keyword(s):  
Cutting Parameters ◽  
Structure Parameters ◽  
Optimum Structure ◽  
Dry Cutting ◽  
Workpiece Material ◽  
Sawing Force ◽  
Circular Saw ◽  
Circular Saw Blade ◽  
Diamond Saw ◽  
Saw Blade

Three kind of diamond circular saw blade with different structure parameters are designed in this paper. Adopted single-factor test, sawing force and vibration are measured by cutting several kinds of strength concrete in different cutting parameters. The analysis to characters of sawing force and vibration helps to find out optimum structure of diamond saw blade with different segment width, more rational sawing parameter and its adaptability to workpiece material.

Evaluating the sensitivity of acoustic emission signal features to the variation of cutting parameters in milling aluminum alloys: Part A: frequency domain analysis

2020 ◽  
pp. 095440542094912
Author(s):  
Mohamad Javad Anahid ◽  
Hoda Heydarnia ◽  
Seyed Ali Niknam ◽  
Hedayeh Mehmanparast
Keyword(s):  
Acoustic Emission ◽  
Frequency Domain ◽  
Time Domain ◽  
Acoustic Emission Signal ◽  
Cutting Tool ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Emission Signal ◽  
Signal Parameters ◽  
Signal Features

It is known that adequate knowledge of the sensitivity of acoustic emission signal parameters to various experimental parameters is indispensable. According to the review of the literature, a lack of knowledge was noticeable concerning the behavior of acoustic emission parameters under a broad range of machining parameters. This becomes more visible in milling operations that include sophisticated chip formation morphology and significant interaction effects and directional pressures and forces. To remedy the aforementioned lack of knowledge, the effect of the variation of cutting parameters on the time and frequency features of acoustic emission signals, extracted and computed from the milling operation, needs to be investigated in a wide aspect. The objective of this study is to investigate the effects of cutting parameters including the feed rate, cutting speed, depth of cut, material properties, as well as cutting tool coating/insert nose radius on computed acoustic emission signals featured in the frequency domain. Similar studies on time-domain signal features were already conducted. To conduct appropriate signal processing and feature extraction, a signal segmentation and processing approach is proposed based on dividing the recorded acoustic emission signals into three sections with specific signal durations associated with cutting tool movement within the work part. To define the sensitive acoustic emission parameters to the variation of cutting parameters, advanced signal processing and statistical approaches were used. Despite the time features of acoustic emission signals, frequency domain acoustic emission parameters seem to be insensitive to the variation of cutting parameters. Moreover, cutting factors governing the effectiveness of acoustic emission signal parameters are hinted. Among these, the cutting speed and feed rate seem to have the most noticeable effects on the variation of time–frequency domain acoustic emission signal information, respectively. The outcomes of this work, along with recently completed works in the time domain, can be integrated into advanced classification and artificial intelligence approaches for numerous applications, including real-time machining process monitoring.

Characterization of Sheet Metal Forming Using Acoustic Emission

1990 ◽  
Vol 112 (1) ◽  
pp. 44-51 ◽  
Author(s):  
S. Y. Liang ◽  
D. A. Dornfeld
Keyword(s):  
Acoustic Emission ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Acoustic Emission Signal ◽  
Metal Forming ◽  
Energy Content ◽  
Analytical Relationship ◽  
Workpiece Material ◽  
Emission Signal

The application of acoustic emission signal analysis for characterization of sheet metal forming operations is discussed in this paper. Two particular sheet metal forming operations are examined: punch stretching and deep drawing. The acoustic emission signal characteristics, including the energy content, the spectral properties, and time series behaviors, as functions of the process state, are experimentally studied. Using plastic work analysis, an analytical relationship between acoustic emission energy rate and punch stretching parameters (punch feed rate, workpiece thickness, punch size, holder diameter, amount of plastic deformation, and workpiece material properties) is developed and supporting experimental results presented. During the forming processes, acoustic emission signal features show strong correlations with punch/workpiece contact, yielding, deformation, flange wrinkling, necking and fracture. Therefore, acoustic emission can be effectively used for in-process monitoring of sheet metal forming operations.

Tests for the Optimization of Cut-Off Parameters for Seven Galician Granite Varieties

2013 ◽  
Vol 548 ◽  
pp. 82-89
Author(s):  
Maria Araújo Fernández ◽  
Javier Taboada Castro ◽  
Jose Antonio Vilán Vilán ◽  
Nuria Sánchez Delgado
Keyword(s):  
Cutting Speed ◽  
Direct Consequence ◽  
Cutting Parameters ◽  
Extraction Methods ◽  
Graphical Analysis ◽  
Cutting Efficiency ◽  
Optimum Configuration ◽  
Circular Saw ◽  
Diamond Saw ◽  
Saw Blade

The ornamental rock sector in Galicia (NW Spain), in particular the granite extraction and processing sector, has undergone tremendous development in recent years as a direct consequence of the use of non-aggressive rock mass extraction methods and the progressive modernization and automation of the different processes for processing and finishing the slabs, as well as the improvement of in-plant logistics. Nevertheless, it has been ascertained that cutting parameters entered as setpoint values in the diamond circular saws, used for the subdivision of slabs of the different commercial granite varieties, do not fit clear technical criteria for the optimization of cutting efficiency, but are selected and pre-set based on the experience of the circular saw operator. In order to evaluate the validity of thus selected cutting parameters and to provide the sector with a more objective tool, the cutting performance of seven granite varieties from Galicia which have high sales was analysed. Thus, each available slab was subdivided using four different cutting settings resulting from modifying two of the parameters which most affect cutting efficiency: cutting speed (m/min) and cutting depth (mm). These parameters, in turn, have an influence on power consumption (kWh), diamond saw blade wear (mm) and average production (mm2/min). Thereby, an exhaustive data acquisition process was carried out in order to create a complete database with the representative information of the cutting of each of the seven tested varieties and determine the optimum configuration for cutting each material, based on the results of a graphical analysis of the mean of data and the analysis of the variance (ANOVA).

Vibration Characteristic Analysis of Diamond Saw Blade with Multitude Holes Structure for Vibration and Noise Reduction

2007 ◽  
Vol 359-360 ◽  
pp. 78-84 ◽  
Author(s):  
Shan Shan Hu ◽  
Ying Ning Hu ◽  
Cheng Yong Wang ◽  
Chang Xiong Chen
Keyword(s):  
Target Function ◽  
Mode Analysis ◽  
Work Piece ◽  
Characteristic Analysis ◽  
Blade Vibration ◽  
Sawing Force ◽  
Lower Natural Frequency ◽  
Radiant Efficiency ◽  
Diamond Saw ◽  
Saw Blade

Finite element mode analysis and structure optimization of several multitude holes structure diamond saw blades are conducted to study vibration and noise of saw blade. Result shows multitude holes structure saw blade has lower natural frequency than conventional saw blade, which conduces decreasing of noise radiant efficiency. Through configuration optimization, it is clear that hole diameter, hole arrange group number and average displacement DMX of Z axes have great effects on saw blade vibration target function. Finally, the analysis to characters of sawing force and vibration by experiment helps to find out optimum structure of diamond saw blade with multitude holes, more rational sawing parameter and its adaptability to work piece material.

Quantitative Relationships for Acoustic Emission from Orthogonal Metal Cutting

1981 ◽  
Vol 103 (3) ◽  
pp. 330-340 ◽  
Author(s):  
Elijah Kannatey-Asibu ◽  
David A. Dornfeld
Keyword(s):  
Acoustic Emission ◽  
Metal Cutting ◽  
Energy Content ◽  
Energy Levels ◽  
Cutting Parameters ◽  
Signal Energy ◽  
Emission Signal ◽  
Orthogonal Metal Cutting ◽  
Ae Signal ◽  
Work Of Deformation

Theoretical relationships have been drawn between acoustic emission (AE) and the metal cutting process parameters by relating the energy content of the AE signal to the plastic work of deformation which generates the emission signals. The RMS value of the emission signal is expressed in terms of the basic cutting parameters. Results are presented for 6061-T6 aluminum and SAE 1018 steel over the range of speeds 25.2 to 372 sfm (0.128 to 1.9 m/s) and rake angles 10 to 40 deg. Good correlation has been found between predicted and experimental signal energy levels. In addition, AE generation from chip contact along the tool face is studied and the AE energy level reflects the existence of chip sticking and sliding on the tool face, and indicates the feasibility of utilizing AE in tool wear sensing.

Characteristics Analysis of Acoustic Emission Signals from Titanium under Tensile Fracture

2011 ◽  
Vol 335-336 ◽  
pp. 1459-1464
Author(s):  
Jian Shi ◽  
Peng Wang
Keyword(s):  
Acoustic Emission ◽  
Fracture Process ◽  
Crack Opening ◽  
Tensile Fracture ◽  
Opening Displacement ◽  
Emission Signal ◽  
Deformation And Fracture ◽  
Characteristics Analysis ◽  
The Relationship ◽  
Tension Fracture

The parameters of acoustic emission signals were analyzed which titanium plate specimens with crack under tension fracture process used acoustic emission technique. Based on the results of stress-strain curves, crack opening displacement-time curves and CCD images, the relationship between parameters of acoustic emission signal and mechanical behavior of the titanium was investigated. The results show acoustic emission signals increased significantly during yield, crack propagation and fracture with different load speeds, the energy amplitude range of acoustic emission signals was mainly from 50dB to 65dB. The characteristic parameters including AE energy, hit and amplitude can be used to represent the mechanical and inner deformation form of titanium during plastic deformation and fracture process.

scholarly journals Characteristics Analysis of Vacuum Gas Leak Detection Signals Based on Acoustic Emission

2014 ◽  
Vol 8 (1) ◽  
pp. 57-61 ◽  
Author(s):  
Tao Zhang ◽  
◽  
Zhou-Mo Zeng ◽  
Yi-Bo Li ◽  
Wei-Kui Wang ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Leak Detection ◽  
Practical Significance ◽  
Emission Signal ◽  
Processing Theory ◽  
Signal Characteristics ◽  
Characteristics Analysis ◽  
Continuous Vacuum ◽  
Different Diameters ◽  
Gas Leaks

Gas leaks can cause major accidents resulting in both human injuries and financial losses. Vacuum pressureinduced air leaks lead to the emission of acoustic signals. Vacuum leak tests are implemented in this paper, and signals excited by leaks through apertures of three different diameters are investigated. According to the acoustic emission signal processing theory, several characteristic parameters were utilized to analyze the generation of continuous vacuum leakage acoustic emission signals. Applicable signal characteristics are used to distinguish the vacuumleaks through apertures of different sizes. It can be inferred that the acoustic emission method can detect vacuum gas leaks as they happen, and signal parameter characteristics analysis can be used to distinguish between the different aperture sizes. This paper is of practical significance to the work of acoustic emission vacuum leak detection.

Modal Analysis of Circular Diamond Saw-Blade for Deep Sawing of Granite

2006 ◽  
Vol 315-316 ◽  
pp. 348-351 ◽  
Author(s):  
Yuan Li ◽  
Xi Peng Xu
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Natural Frequency ◽  
Vibration Mode ◽  
Factors Influencing ◽  
Nature Frequency ◽  
Diamond Saw ◽  
Rotary Speed ◽  
Saw Blade ◽  
Natural Characteristics

In this paper, finite element method (FEM) was applied to analyze the natural characteristics of a diamond saw-blade for deep sawing of natural granite. The vibration mode and nature frequency of the saw-blade were theoretically studied by a commercial FEM software. The factors influencing the natural characteristics of the saw-blade were also discussed. It was found that the natural frequency of the saw-blade increases with its thickness, rotary speed and clamping ratio, but decreases with its diameter.

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