An On-Line Tool Wear Sensor for Straight Turning Operations

1985 ◽  
Vol 107 (4) ◽  
pp. 397-399 ◽  
Author(s):  
H. Suzuki ◽  
K. J. Weinmann
Keyword(s):  
Adaptive Control ◽  
Tool Wear ◽  
Displacement Transducer ◽  
Experimental Results ◽  
Turning Operations ◽  
Satisfactory Accuracy ◽  
Tool Holder ◽  
Work Surface ◽  
On Line ◽  
Measuring Tool

This paper describes the design of an on-line tool wear sensor for straight turning operations, which will lead to the realization of adaptive control for optimization (ACO). Tool wear is detected by measuring the change in distance between tool holder and work surface using a stylus which is mounted on the tool holder. The stylus movement is sensed by a displacement transducer. The experimental results indicate that the sensor is capable of measuring tool wear with satisfactory accuracy.

On-Line Tool Wear Sensing for Turning Operations

1986 ◽  
Vol 108 (1) ◽  
pp. 44-47 ◽  
Author(s):  
J. I. El Gomayel ◽  
K. D. Bregger
Keyword(s):  
Experimental Data ◽  
Tool Wear ◽  
Conventional Method ◽  
Cutting Conditions ◽  
Differential Mode ◽  
Turning Operations ◽  
Electromagnetic Sensors ◽  
Voltage Output ◽  
On Line ◽  
Set Up

A sensing device was developed to measure tool wear indirectly by monitoring the change of the workpiece diameter during turning operations. The change in the diameter was sensed by electromagnetic sensors which gave a voltage output directly related to the gap between the sensor and the workpiece. After trying different alternatives, the final arrangement was set up with two sensors operating in a differential mode which allowed compensation for deflections and vibrations. The electromagnetic sensors could detect minute wear for the different cutting conditions used (speeds of 350–550 ft/min, feeds from from 0.0208–0.0232 in./rev. and depths of cuts from 0.030–0.100 in.). The experimental data obtained for flank and nose wear were in agreement with the results obtained from the conventional method of measuring the wear by a toolmaker’s microscope.

On-Line Roundness Error Compensation via P-Integrator Learning Control

1992 ◽  
Vol 114 (4) ◽  
pp. 476-480 ◽  
Author(s):  
C. J. Li ◽  
S. Y. Li
Keyword(s):  
Error Compensation ◽  
Learning Control ◽  
Experimental Results ◽  
Compensation Scheme ◽  
Research Project ◽  
Turning Operations ◽  
Roundness Error ◽  
Cnc Lathe ◽  
On Line ◽  
Metrology System

The work described is the result of a research project for developing a roundness error compensation scheme in turning processes based on the p-integrator learning controller and an on-line metrology system. The objective is to eliminate the repeatable error in turning operations. The scheme was realized on a CNC lathe. The effectiveness of the scheme is supported by the experimental results obtained through workpiece inspections.

scholarly journals A New No Equilibrium Fractional Order Chaotic System, Dynamical Investigation, Synchronization, and Its Digital Implementation

Inventions ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 49
Author(s):  
Zain-Aldeen S. A. Rahman ◽  
Basil H. Jasim ◽  
Yasir I. A. Al-Yasir ◽  
Raed A. Abd-Alhameed ◽  
Bilal Naji Alhasnawi
Keyword(s):  
Adaptive Control ◽  
Fractional Order ◽  
Chaotic System ◽  
Real World ◽  
Experimental Results ◽  
Chaotic Attractors ◽  
State Variables ◽  
Digital Implementation ◽  
Dynamical Behaviors ◽  
Real World Applications

In this paper, a new fractional order chaotic system without equilibrium is proposed, analytically and numerically investigated, and numerically and experimentally tested. The analytical and numerical investigations were used to describe the system’s dynamical behaviors including the system equilibria, the chaotic attractors, the bifurcation diagrams, and the Lyapunov exponents. Based on the obtained dynamical behaviors, the system can excite hidden chaotic attractors since it has no equilibrium. Then, a synchronization mechanism based on the adaptive control theory was developed between two identical new systems (master and slave). The adaptive control laws are derived based on synchronization error dynamics of the state variables for the master and slave. Consequently, the update laws of the slave parameters are obtained, where the slave parameters are assumed to be uncertain and are estimated corresponding to the master parameters by the synchronization process. Furthermore, Arduino Due boards were used to implement the proposed system in order to demonstrate its practicality in real-world applications. The simulation experimental results were obtained by MATLAB and the Arduino Due boards, respectively, with a good consistency between the simulation results and the experimental results, indicating that the new fractional order chaotic system is capable of being employed in real-world applications.

A Framework for Big Data Driven On-Line Monitoring of Tool Wear

2021 ◽  
Author(s):  
Yong Gui ◽  
Sheng Leng ◽  
Zhiqiang Dai ◽  
Jiyuan Wu
Keyword(s):  
Big Data ◽  
Tool Wear ◽  
Data Driven ◽  
On Line
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