Estimation of Reliable Replacement Time of Cutting Tool in Tooling Machines Using the Energy-Based Reliability Model (ERM)

2014 ◽  
Author(s):  
Po Ting Lin ◽  
Kuan-Ting Chen
Keyword(s):  
Real Time ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Experimental Results ◽  
Cutting Conditions ◽  
Dissipated Energy ◽  
Reliability Model ◽  
Real Time Monitoring ◽  
Experimental Conditions ◽  
Replacement Time

Real-time monitoring systems have been developed for tooling machine for the purpose of investigating the time-dependent cutting conditions, to detect instantaneous events, and to estimate life of cutting tools and the machine itself. An Energy-based Reliability Model (ERM) has been developed for real-time monitoring of cutting conditions. A standardized inspection process was defined and the two most sensible signals, vibrational signals and temperature increments, are collected to monitor the accumulation of dissipated energy during the tooling processes. The ERM then computes the normalized accumulative dissipated energy in replace of evaluating surface quality of workpiece at the end of each tooling process. This paper focuses on the implementation of ERM in the turning process on a lathe. The experimental results showed the dissipated energy linearly grows with respect to the amount of volume removal from the workpiece. The ERM built from the experimental results under the same condition were then utilized to estimate the turning performance under different experimental conditions. As a result, similar trends of dissipated energy versus volume removal were found. Therefore, ERM can be utilized to estimate a reliable replacement time of cutting tool in tooling machines.

A new method of real-time monitoring of cutting tool status bases on HHT

2019 ◽  
Vol 9 (4) ◽  
pp. 276
Author(s):  
Qizheng Liu ◽  
qiang Guo ◽  
Zichao Lin ◽  
Bin Shen
Keyword(s):  
Real Time ◽  
Cutting Tool ◽  
New Method ◽  
Real Time Monitoring

Study on Tracking in Interested Moving Objects

2011 ◽  
Vol 382 ◽  
pp. 418-421
Author(s):  
Dong Yan Cui ◽  
Zai Xing Xie
Keyword(s):  
Computational Complexity ◽  
Real Time ◽  
Monitoring System ◽  
Moving Objects ◽  
Moving Object ◽  
Experimental Results ◽  
Real Time Monitoring ◽  
Automatic Program ◽  
Inter Frame

This paper presents an automatic program to track in moving objects, using segmentation algorithm quickly and efficiently after the division of a moving object, in the follow-up frame through the establishment of inter-frame vectors to track moving objects of interest. Experimental results show that the algorithm can accurately and effectively track moving objects of interest, and because the algorithm is simple, the computational complexity is small, can be well positioned to meet real-time monitoring system in the extraction of moving objects of interest and tracking needs.

Evaluation of the Performance of α-SiAlON Tool when Turning Ti–6Al–4V Alloy without Coolant

2008 ◽  
Vol 591-593 ◽  
pp. 554-559
Author(s):  
José Vitor C. Souza ◽  
Maria do Carmo de Andrade Nono ◽  
Sergio Luiz Mineiro ◽  
M.V. Ribeiro ◽  
Olivério Moreira Macedo Silva
Keyword(s):  
Failure Modes ◽  
Cutting Tool ◽  
Cutting Tools ◽  
High Hardness ◽  
Cutting Conditions ◽  
Diffusion Wear ◽  
Catastrophic Failures ◽  
Iron Nickel ◽  
Iron Nickel Alloys ◽  
High Degree

Due to their high hardness and wear resistance, Si3N4 based ceramics are one of the most suitable cutting tool materials for machining cast iron, nickel alloys and hardened steels. However, their high degree of brittleness usually leads to inconsistent results and sudden catastrophic failures. This necessitates a process optimization when machining superalloys with Si3N4 based ceramic cutting tools. The tools are expected to withstand the heat and pressure developed when machining at higher cutting conditions because of their high hardness and melting point. This paper evaluates the performance of α-SiAlON tool in turning Ti–6Al–4V alloy at high cutting conditions, up to 250 m min−1, without coolant. Tool wear, failure modes and temperature were monitored to access the performance of the cutting tool. Test results showed that the performance of α-SiAlON tool, in terms of tool life, at the cutting conditions investigated is relatively poor due probably to rapid notching and excessive chipping of the cutting edge. These facts are associated with adhesion and diffusion wear rate that tends to weaken the bond strength of the cutting tool.

Reliability Study of Cutting Tool Based on the Reliability-Dependent Hazard Rate Function

2006 ◽  
Vol 505-507 ◽  
pp. 913-918 ◽  
Author(s):  
Wei Shin Lin
Keyword(s):  
Hazard Rate ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Reliability Function ◽  
Rate Function ◽  
Experimental Results ◽  
Hazard Rate Function ◽  
Reliability Study

In this study, the reliability-dependent hazard rate function is used to describe the reliability of the cutting tools. The reliability equation has been evaluated via normalization treatment. The reliability function of the cutting tool under different cutting speed can be obtained respectively by using this reliability equation. The experimental results proved that the reliability equation evaluated from this study is accurate and feasible.

A Knowledge-Based Real-Time Vision System for Monitoring the Inside of a Fluid Bed Heat Exchanger Chamber

2018 ◽  
Vol 28 (09) ◽  
pp. 1249-1265
Author(s):  
HyungJun Kim
Keyword(s):  
Image Processing ◽  
Heat Exchanger ◽  
Real Time ◽  
Vision System ◽  
Thermal Power ◽  
Experimental Results ◽  
Image Analysis System ◽  
Real Time Monitoring ◽  
Knowledge Based ◽  
Fluid Bed

In this paper, we present a vision system with a special camera for knowledge-based real-time monitoring of the inside of a fluid bed heat exchanger (FBHE) chamber in a thermal power plant. With the proposed system, it is possible to monitor the internal flux condition and analyze the inner temperature of a chamber. Due to the fact that the mixture of coal and sand inside a chamber flows by very quickly, there is an immense amount of smoke and dust, which make it difficult to capture images and analyze an existing system. An adaptive average method is proposed here to observe the background internal environment of an FBHE chamber. The experimental results show that real-time monitoring is possible, even under hot and dusty conditions. Preliminary experimental results confirm expectations about the possibility and effectiveness of the developed device for commercialized real-time monitoring systems. They demonstrate that a single camera with embedded image processing software can concurrently analyze the degree of fluidization of a mixture and the temperature of the chamber inside, even in extremely harsh and hazardous conditions. We aim to eventually develop an image analysis system that combines image processing and knowledge engineering techniques.

USE OF THE THEORY OF SIMILARITY IN THE STUDY OF CUTTING TOOL WEAR

Tribologia ◽  
2018 ◽  
Vol 277 (1) ◽  
pp. 7-10
Author(s):  
Vyacheslav F. BEZYAZYCHNY ◽  
Marian SZCZEREK ◽  
V.V. NEPOMILUEV ◽  
Z.W. KISELEV
Keyword(s):  
Mechanical Properties ◽  
Tool Wear ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Wear Intensity ◽  
Cutting Conditions ◽  
Tool Geometry ◽  
Dimensionless Numbers ◽  
Tool Materials ◽  
Cutting Tool Wear

The paper highlights the methods to define wear intensity of cutting tools using the theory of similarity. The dimensionless numbers of the cutting procedures, which are necessary in calculating cutting tool wear intensity, are defined with regard to the cutting conditions, cutting tool geometry, and the physico-mechanical properties of the work stock and the tool materials.

A new method of real-time monitoring of cutting tool status bases on HHT

2019 ◽  
Vol 9 (4) ◽  
pp. 276
Author(s):  
Guoqiang Guo ◽  
Bin Shen ◽  
Qizheng Liu ◽  
Zichao Lin
Keyword(s):  
Real Time ◽  
Cutting Tool ◽  
New Method ◽  
Real Time Monitoring

scholarly journals Time-Variant Reliability Assessment and Its Sensitivity Analysis of Cutting Tool under Invariant Machining Condition Based on Gamma Process

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Changyou Li ◽  
Yimin Zhang
Keyword(s):  
Real Time ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Compensation Method ◽  
Gamma Process ◽  
Machining Error ◽  
The Real ◽  
Wear Process ◽  
Continuous State ◽  
Continuous Time Stochastic Process

The time-variant reliability and its sensitivity of cutting tools under both wear deterioration and an invariant machining condition are analyzed. The wear process is modeled by a Gamma process which is a continuous-state and continuous-time stochastic process with the independent and nonnegative increment. The time-variant reliability and its sensitivity of cutting tools under six cases are considered in this paper. For the first two cases, the compensation for the cutting tool wear is not carried out. For the last four cases, the off-line or real-time compensation method is adopted. While the off-line compensation method is used, the machining error of cutting tool is supposed to be stochastic. Whether the detection of the real-time wear is accurate or not is discussed when the real-time compensation method is adopted. The numerical examples are analyzed to demonstrate the idea of how the reliability of cutting tools under the invariant machining condition could be improved according to the methods described in this paper.

scholarly journals Diagnostics of Breakdown of Cutting Tools of Axial Cutting Head of the П110-04 Type Heading Machine

2017 ◽  
Vol 25 (2) ◽  
pp. 93-96
Author(s):  
О. Е. Shabaev ◽  
I. I. Bridun ◽  
О. К. Moroz
Keyword(s):  
Real Time ◽  
Spectral Decomposition ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Rotation Frequency ◽  
Head Rotation ◽  
Real Time Mode ◽  
Cutting Head ◽  
Machine Element ◽  
Cutting Unit

Abstract The operation of a heading machine with an out-of-work cutting tool can cause essential reduction of the machine element resource. The diagnostics of the cutting tool breakdown on the longitudinal axial cutting head in the real - time mode can be implemented on the basis of the spectral decomposition of the current of the cutting engine of the cutting unit. The ratio of the coefficients of the spectral decomposition corresponding to the cutting head rotation frequency and its threefold value can be the parameter under the diagnosis.

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