Influence of Lathe Tool Wear on the Vibrations Sustained in Cutting

1975 ◽  
pp. 251-257 ◽  
Author(s):  
P. Martin ◽  
B. Mutel ◽  
J. -P. Drapier
Keyword(s):  
Tool Wear ◽  
Lathe Tool

Criticism of Radioactive Tool-Life Testing

1963 ◽  
Vol 85 (4) ◽  
pp. 381-385 ◽  
Author(s):  
N. H. Cook ◽  
A. B. Lang
Keyword(s):  
Tool Wear ◽  
Tungsten Carbide ◽  
Tool Life ◽  
High Speed ◽  
High Speed Steel ◽  
Cutting Conditions ◽  
Life Testing ◽  
Wear Tests ◽  
Lathe Tool

Tungsten carbide and high-speed-steel lathe tool wear tests, carried out by conventional means and by radioisotope techniques, are compared. When the irradiated tool is used to cut under only one set of conditions, good correlation is obtained between the two methods. When the irradiated tool is used under a variety of cutting conditions, correlation is poor. If a single tool is used under different cutting conditions, it is doubtful if differences of less than 2:1 are significant.

Adaptive Observer for Optimal Control of Lathe Tool Wear

1988 ◽  
Author(s):  
G. R. Arulalan ◽  
P. A. S. Ralston ◽  
T. L. Ward
Keyword(s):  
Optimal Control ◽  
Tool Wear ◽  
Adaptive Observer ◽  
Lathe Tool

Computer observer for in-process measurement of lathe tool wear

1988 ◽  
Vol 15 (1-4) ◽  
pp. 217-222 ◽  
Author(s):  
P.A.S. Ralston ◽  
T.L. Ward ◽  
D.J.C. Stottman
Keyword(s):  
Tool Wear ◽  
Process Measurement ◽  
Lathe Tool

Research on online detection System of lathe tool wear based on Machine Vision

2021 ◽  
Author(s):  
Yufeng Ding ◽  
Pucheng Wan ◽  
Bo Zhang
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
Detection System ◽  
Image Acquisition ◽  
Online Detection ◽  
Wear Area ◽  
Transform Method ◽  
Canny Edge ◽  
Wear Evaluation ◽  
Lathe Tool

Abstract Machine tools are important factor to determine the surface quality of the workpiece, and the online detection of tool wear is of great significance to the production and processing. In this paper, turning tools are taken as the research object, the tool wear evaluation index is defined, and the online detection system of lathe tool wear based on machine vision is designed. The workpiece processing, tool wear image acquisition, transmission, storage, and processing are completed in this system. Aiming at the problem of tool wear state detection, an adaptive hybrid filtering method is proposed in order to remove noise in the image acquisition process, nonlinear transformation and unsharp masking methods are used to enhance tool wear image quality. The GrabCut improved algorithm is used to segment the tool wear image. The Canny edge detection operator with adaptive double thresholds is used to detect the edge of the tool wear area. Finally, the upper and lower boundaries of the tool wear area are detected by using the Hough transform method, and the wear value of the tool flank is calculated, which is compared with the blunt standard VB=06mm to determine whether the tool needs to be replaced. The accuracy of the detection method is verified by experimental measurement of the surface roughness of the workpiece after machining.

Tool wear in high speed machining

2000 ◽  
Vol 10 (PR9) ◽  
pp. Pr9-541-Pr9-546 ◽  
Author(s):  
A. Molinari ◽  
M. Nouari
Keyword(s):  
Tool Wear ◽  
High Speed ◽  
High Speed Machining

Tool wear analysis in the turning of Inconel 625 alloy

2019 ◽  
Author(s):  
Diego de Medeiros Barbosa ◽  
Leticia Helena Guimarães Alvarinho ◽  
Aristides Magri ◽  
Daniel Suyama
Keyword(s):  
Tool Wear ◽  
Inconel 625 ◽  
Wear Analysis ◽  
Inconel 625 Alloy

Effect of SiC-Cu Electrode on Material Removal Rate, Tool Wear and Surface Roughness in EDM Process

2020 ◽  
Vol 38 (9A) ◽  
pp. 1406-1413
Author(s):  
Yousif Q. Laibia ◽  
Saad K. Shather
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
304 Stainless Steel ◽  
Tool Electrode ◽  
Pulse Time ◽  
Edm Process

Electrical discharge machining (EDM) is one of the most common non-traditional processes for the manufacture of high precision parts and complex shapes. The EDM process depends on the heat energy between the work material and the tool electrode. This study focused on the material removal rate (MRR), the surface roughness, and tool wear in a 304 stainless steel EDM. The composite electrode consisted of copper (Cu) and silicon carbide (SiC). The current effects imposed on the working material, as well as the pulses that change over time during the experiment. When the current used is (8, 5, 3, 2, 1.5) A, the pulse time used is (12, 25) μs and the size of the space used is (1) mm. Optimum surface roughness under a current of 1.5 A and the pulse time of 25 μs with a maximum MRR of 8 A and the pulse duration of 25 μs.

Optimization of Cutting Parameters in Milling Process Using Genetic Algorithm and ANOVA (March 2020)

2020 ◽  
Vol 38 (10A) ◽  
pp. 1489-1503
Author(s):  
Marwa Q. Ibraheem
Keyword(s):  
Genetic Algorithm ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Optimal Value ◽  
Optimization Of Cutting Parameters

In this present work use a genetic algorithm for the selection of cutting conditions in milling operation such as cutting speed, feed and depth of cut to investigate the optimal value and the effects of it on the material removal rate and tool wear. The material selected for this work was Ti-6Al-4V Alloy using H13A carbide as a cutting tool. Two objective functions have been adopted gives minimum tool wear and maximum material removal rate that is simultaneously optimized. Finally, it does conclude from the results that the optimal value of cutting speed is (1992.601m/min), depth of cut is (1.55mm) and feed is (148.203mm/rev) for the present work.

Peculiarities of tool material wear at polymeric composite blank cutting

2018 ◽  
Vol 2018 (7) ◽  
pp. 27-31
Author(s):  
Юрий Зубарев ◽  
Yuriy Zubarev ◽  
Александр Приемышев ◽  
Alexsandr Priyomyshev
Keyword(s):  
Tool Wear ◽  
Tool Material ◽  
Polymeric Composite ◽  
Physical Models ◽  
Technological Parameters ◽  
Tool Materials ◽  
Materials Used ◽  
The Impact ◽  
Material Wear

Tool materials used for polymeric composite blank machining, kinds of tool material wear arising at machining these blanks, and also the impact of technological parameters upon tool wear are considered. The obtained results allow estimating the potentialities of physical models at polymeric composite blanks cutting.

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