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 Remaining Useful Life Prediction of Cutting Tools Using an Inverse Gaussian Process Model

2021 ◽  
Vol 11 (11) ◽  
pp. 5011
Author(s):  
Yuanxing Huang ◽  
Zhiyuan Lu ◽  
Wei Dai ◽  
Weifang Zhang ◽  
Bin Wang
Keyword(s):  
Surface Roughness ◽  
Failure Criterion ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Remaining Useful Life ◽  
Model Parameters ◽  
Inverse Gaussian ◽  
Wear Process ◽  
Useful Life ◽  
Dynamic Wear

In manufacturing, cutting tools gradually wear out during the cutting process and decrease in cutting precision. A cutting tool has to be replaced if its degradation exceeds a certain threshold, which is determined by the required cutting precision. To effectively schedule production and maintenance actions, it is vital to model the wear process of cutting tools and predict their remaining useful life (RUL). However, it is difficult to determine the RUL of cutting tools with cutting precision as a failure criterion, as cutting precision is not directly measurable. This paper proposed a RUL prediction method for a cutting tool, developed based on a degradation model, with the roughness of the cutting surface as a failure criterion. The surface roughness was linked to the wearing process of a cutting tool through a random threshold, and accounts for the impact of the dynamic working environment and variable materials of working pieces. The wear process is modeled using a random-effects inverse Gaussian (IG) process. The degradation rate is assumed to be unit-specific, considering the dynamic wear mechanism and a heterogeneous population. To adaptively update the model parameters for online RUL prediction, an expectation–maximization (EM) algorithm has been developed. The proposed method is illustrated using an example study. The experiments were performed on specimens of 7109 aluminum alloy by milling in the normalized state. The results reveal that the proposed method effectively evaluates the RUL of cutting tools according to the specified surface roughness, therefore improving cutting quality and efficiency.

scholarly journals Identifying the cause of cutting tool failure by using simulation software

2018 ◽  
Vol 157 ◽  
pp. 02057
Author(s):  
Andrej Zrak ◽  
Radoslav Koňár
Keyword(s):  
Opposite Direction ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Bending Moment ◽  
Simulation Software ◽  
Tool Failure ◽  
The Real

The article is focused on the construction problems of cutting tools designed for manufacturing components in high numbers. Analysis of the tool with low lifetime is provided with the use of simulation software to detect the causes of the tool failure. Parameters of the simulation are close to the real conditions of the tool in production. The results from the simulation indicate that the bending moment occurs in the tool because of forces which have opposite direction on different areas. On these basis technological adjustments are made. These adjustments are also analysed by using simulation software.

Improving model-based compensation method for real-time hybrid simulation considering error of identified model

2020 ◽  
pp. 107754632096162
Author(s):  
Zihao Zhou ◽  
Ning Li
Keyword(s):  
Time Delay ◽  
Transfer Function ◽  
Real Time ◽  
Hybrid Simulation ◽  
Compensation Method ◽  
Test Results ◽  
Two Stage ◽  
The Real ◽  
Model Based ◽  
Real Plant

Time delay is a critical and unavoidable problem in real-time hybrid simulation. An accurate and effective compensation method for time delay is necessary for the safety of real-time hybrid simulation and the reliability of test results. Generally, a model-based compensation method can be adopted, which is derived from the identified transfer function by assuming the latter can accurately represent the real plant. However, there must be some differences between the transfer function and the real plant. To facilitate the development of real-time hybrid simulation, we proposed a two-stage feedforward compensation method considering the error between the transfer function identified and the real plant. The compensation strategy proposed in this study was not only based on the transfer function but also introduced an error model as a second-stage compensation into a compensator to realize the synchronization of command and measurement. To verify the efficiency of the proposed method, comparisons in time domain and frequency domain with the feedforward compensator in a model-based feedforward–feedback control method were carried out. Compared with the feedforward compensator, the two-stage method achieved better tracking performance, especially in the high-frequency bandwidth. The test results verified that for a band-limited white noise of 0–30 Hz, the phase lag of the actuation system can be limited to ±5°. Finally, the two-stage method was applied to a real-time hybrid simulation of a two-story frame to illustrate its compensation effect on time delay.

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.

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.

The Real-Time Neural Genesis of a Punchline

2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  
Real Time ◽  
The Real

Real-Time System for Sending Data from Three Clients to One Server with MATLAB

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Information System ◽  
Real Time ◽  
Time System ◽  
Real Time System ◽  
The Real ◽  
Performance Time ◽  
Data Process ◽  
Effectiveness And Efficiency

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.

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