Experimental and statistical analysis of cutting force acting on diamond sawblade in sawing of granitic rocks

2012 ◽  
Vol 227 (2) ◽  
pp. 286-300 ◽  
Author(s):  
Izzet Karakurt ◽  
Gokhan Aydin ◽  
Kerim Aydiner
Keyword(s):  
Statistical Analysis ◽  
Cutting Force ◽  
Granitic Rocks ◽  
Diamond Sawblade

Effect of Gel Chemistry on the Machinability of Green SiC Parts Produced by Gelcasting

2012 ◽  
Vol 727-728 ◽  
pp. 1596-1603
Author(s):  
André Marques Riviello ◽  
Fernando dos Santos Ortega
Keyword(s):  
Surface Roughness ◽  
Silicon Carbide ◽  
Statistical Analysis ◽  
Flexural Strength ◽  
Cutting Force ◽  
Complex Geometry ◽  
Automotive Components ◽  
Green Machining ◽  
Gelcasting Process

The growing interesting in the use of silicon carbide in automotive components, biomaterials, energy, among others, which demand the production of parts with complex geometry that are difficult to obtain by conventional compaction techniques, motivates the search for developing new conformation processes. Within this context, this paper investigates the production of pieces of silicon carbide through the gelcasting process and subsequent green machining of these parts. Three systems of monomers were studied: MAM-NVP-MBAM, MAM-PEG (DMA) and MAM-HMAM. The effect of the concentration of monomers, concentration of chemical initiator and the ratio of chain-forming and crosslinker monomers on the cutting force during machining and surface roughness were evaluated. These data are compared with values of flexural strength and hardness of samples produced under the same conditions. Through a statistical analysis it was determined the best formulation for the production of parts of SiC with favorable characteristics of green machining.

scholarly journals Numerical Simulation of the Influence of the Distance between the Diamond Sawblade and Free Surface on Cutting Performance

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qingliang Zeng ◽  
Zhiwen Wang ◽  
Zhenguo Lu ◽  
Lirong Wan ◽  
Xin Zhang
Keyword(s):  
Numerical Simulation ◽  
Free Surface ◽  
Cutting Force ◽  
Tangential Force ◽  
Surface Damage ◽  
Cutting Performance ◽  
Feed Speed ◽  
Rock Damage ◽  
Cutting Depth ◽  
Diamond Sawblade

The diamond sawblade has been widely used in the field of rock mining and processing. This article, through the establishment of a numerical simulation model of diamond sawblade cutting rock, studies the influence of the distance between the diamond sawblade and free surface on cutting performance. In the process of diamond sawblade cutting rock, with the increase of the distance from the sawblade to the free surface, the average cutting force, normal force, and tangential force of the sawblade increase at first and then stabilize, and the axial force gradually decreases and tends to be stable. In the process of cutting rock with fixed depth, cutting force and rock damage are positively related to feed speed and cutting depth of the diamond sawblade. Through the statistical analysis of rock damage by image recognition program statistics, it is concluded that the feed speed and cutting depth of the sawblade have a significant impact on the rock damage value. When the distance increases to 12 mm, there is a relatively complete rock plate between the sawblade and free surface. The rock free surface damage disappears when distance reaches 16 mm. The research results provide a theoretical basis for the sawblade processing rock plate.

MONITORING THE FLANK WEAR USING PIEZOELECTRIC OF ROTATING TOOL OF MAIN CUTTING FORCE IN END MILLING

2016 ◽  
Vol 78 (6-10) ◽  
Author(s):  
N.H.M. Tahir ◽  
R. Muhammad ◽  
J. A. Ghani ◽  
M. Z. Nuawi ◽  
C. H. C. Haron
Keyword(s):  
Statistical Analysis ◽  
Tool Wear ◽  
Cutting Force ◽  
Frequency Domain ◽  
Flank Wear ◽  
End Milling ◽  
Cutting Speed ◽  
Piezoelectric Sensor ◽  
Analysis Method ◽  
Statistical Analysis Method

Tool condition monitoring (TCM) system in the industry are mainly used to detect tool wear, breakage and chatter on the tool. Tool wear of AISI P20 under various cutting conditions have been investigated in end milling using cutting force signals due flank wear progression. This study is focused on the piezoelectric sensor system which is integrated on rotating cutting tool for tool wear monitoring system in milling process. The signal captured by piezoelectric sensors are analyzed in time and frequency domain. The signal amplitudes of main cutting force, Fc in time domain are increased, while the peak of the amplitude in frequency domain is decreased as the flank wear and cutting speed increases. By using 3D I-kazTM statistical analysis method, the relationship and correlation between I-kaz coefficients, Z∞  values with resultant flank wear width data, VB are proved. The results show that 3D I-kazTM statistical analysis method can be effectively used to monitor tool wear progression using a wireless telemetry system during milling operations.

Investigation of the Effect of Axial Cutting Force on Circular Diamond Sawblade Used in Marble Cutting Process

2009 ◽  
Vol 24 (12) ◽  
pp. 1423-1430 ◽  
Author(s):  
Kubilay Aslantas ◽  
Onur Özbek ◽  
İsmail Ucun ◽  
İ. Sedat Büyüksağ[idot]ş
Keyword(s):  
Cutting Force ◽  
Cutting Process ◽  
Diamond Sawblade

scholarly journals Study of the behavior of sugarcane bagasse submitted to cutting

DYNA ◽  
2015 ◽  
Vol 82 (191) ◽  
pp. 171-175 ◽  
Author(s):  
Nelson Arzola ◽  
Joyner García
Keyword(s):  
Statistical Analysis ◽  
Moisture Content ◽  
Cutting Force ◽  
Sugarcane Bagasse ◽  
Cutting Speed ◽  
Response Surfaces ◽  
Specific Cutting Energy ◽  
Cutting Energy ◽  
Blade Edge ◽  
Pre Treatment

The aim of this work was to study the behavior of sugarcane bagasse submitted to cutting, as a function of its moisture content, angle of the blade edge and cutting speed. The specific cutting energy and peak cutting force were measured using an experimental facility developed for this series of experiments. An analysis of the results of the full factorial experimental design using a statistical analysis of variance (ANOVA) was performed. The response surfaces and empirical models for the specific cutting energy and peak cutting force were obtained using statistical analysis system software. Low angle of the blade edge and low moisture content are, in this order, the most important experimental factors in determining a low specific cutting energy and a low peak cutting force respectively. The best cutting conditions are achieved for an angle of blade edge of 20.8° and a moisture content of 10% w. b. The results of this work could contribute to the optimal design of sugarcane bagasse pre-treatment systems.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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