scholarly journals Design of a Novel Sensing Module for Machine Tool Vibration Monitoring by Integrating Multiple MEMS Accelerometers

2018 ◽  
Author(s):  
Jui Min Tsai ◽  
Kuo-Shen Chen ◽  
Syuan-Wen Chen ◽  
Yun-Hui Liu ◽  
Da-Huei Lee
Keyword(s):  
Machine Tool ◽  
Vibration Monitoring ◽  
Tool Vibration ◽  
Mems Accelerometers

scholarly journals MACHINE TOOL VIBRATION REDUCTION USING HYDROSTATIC GUIDEWAY

2018 ◽  
Vol 2018 (04) ◽  
pp. 2568-2570
Author(s):  
Tomas Lazak ◽  
Matej Sulitka ◽  
Eduard Stach
Keyword(s):  
Machine Tool ◽  
Vibration Reduction ◽  
Tool Vibration

A note on machine tool vibration model

2019 ◽  
Author(s):  
Dorociaková Božena ◽  
Olach Rudolf
Keyword(s):  
Machine Tool ◽  
Tool Vibration ◽  
Vibration Model

Dimensional Deviation Affected by Cutting Parameters and Machine Tool Rigidity in Dry Turning of S45C Steel

2013 ◽  
Vol 315 ◽  
pp. 749-754 ◽  
Author(s):  
M.A. Rahman ◽  
A.B. Baharudin ◽  
S. Adi ◽  
Nur Izan Syahriah Hussein ◽  
H. Isa ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Machine Tool ◽  
Regression Model ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Numerical Control ◽  
Depth Of Cut ◽  
Dry Turning ◽  
Tool Vibration ◽  
Dimensional Deviation

Performance of machining processes is assessed by dimensional and geometrical accuracy which is mentioned in this paper as dimensional deviation. A part quality does not depend solely on the depth of cut, feed rate and cutting speed. Other variable such as excessive machine tool vibration due to insufficient dynamic rigidity can be deleterious to the desired results. The focus of the present study is to find a correlation between dimensional deviation against cutting parameters and machine tool vibration in dry turning. Hence cutting parameters and vibration-based regression model can be established for predicting the part dimensional deviation. Experiments are conducted using a Computerized Numerical Control (CNC) lathe with carbide insert cutting tool. Vibration data are collected through a data acquisition system, then tested and analyzed through statistical analysis. The analysis revealed that machine tool vibration has significant effect on dimensional deviation where statistical analysis of individual regression coefficients showed p<0.05. The developed regression model has been validated through experimental tests and found to be reliable to predict dimensional deviation.

A Real-Time Condition Monitoring System for a Machine Tool Spindle

2010 ◽  
Vol 450 ◽  
pp. 259-262 ◽  
Author(s):  
Chao Ching Ho ◽  
Tzu Hsin Kuo ◽  
Tsung Ting Tsai
Keyword(s):  
Machine Tool ◽  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Vibration Monitoring ◽  
Sensor System ◽  
External Information ◽  
Processing Quality ◽  
Machine Tool Spindle ◽  
Condition Monitoring System

Designing a robust condition monitoring system for a machine tool spindle is an important task because the spindle has a significant effect on the processing quality. In this study, a solar-powered wireless sensor system is installed inside the spindle and is used to monitor the machine tool processing state in real time, thereby improving the processing quality. Accelerometer sensors are employed to estimate tool wear; these sensors monitor the vibration of the spindle. The vibration monitoring data of the high-speed spindle is wirelessly transmitted to an external information device in real time. As an alternative to sensors that employ wired power transmission, a solar energy transmission system has been developed to provide the required electric power to the sensor system. The experimental results show that the proposed system successfully measures the vibration frequency of the rotational machine tool spindle.

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