scholarly journals Process-machine interactions and a multi-sensor fusion approach to predict surface roughness in cylindrical plunge grinding process

2018 ◽  
Vol 26 ◽  
pp. 700-711 ◽  
Author(s):  
Bhaskar Botcha ◽  
Vairamuthu Rajagopal ◽  
Ramesh Babu N ◽  
Satish T.S. Bukkapatnam
Keyword(s):  
Surface Roughness ◽  
Sensor Fusion ◽  
Grinding Process ◽  
Plunge Grinding ◽  
Fusion Approach

Experiment on Surface Roughness and Acoustic Emission Signal in Infeed Period of Cylindrical Plunge Grinding

2013 ◽  
Vol 690-693 ◽  
pp. 2442-2445 ◽  
Author(s):  
Hao Lin Li ◽  
Hao Yang Cao ◽  
Chen Jiang
Keyword(s):  
Surface Roughness ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Feed Rate ◽  
Grinding Process ◽  
Experiment Research ◽  
Plunge Grinding ◽  
Emission Signal ◽  
Ae Signal ◽  
Ae Signals

This work presents an experiment research on Acoustic emission (AE) signal and the surface roughness of cylindrical plunge grinding with the different infeed time. The changed infeed time of grinding process is researched as an important parameter to compare AE signals and surface roughnesses with the different infeed time in the grinding process. The experiment results show the AE signal is increased by the increased feed rate. In the infeed period of the grinding process, the surface roughness is increased at first, and then is decreased.

Cylindrical plunge grinding process of sialon.

1988 ◽  
Vol 54 (7) ◽  
pp. 1298-1303
Author(s):  
Toshikatsu NAKAJIMA ◽  
Yoshiyuki UNO ◽  
Takanori FUJIWARA ◽  
Atsunori IKEJIRI ◽  
Kazuhito OHASHI
Keyword(s):  
Grinding Process ◽  
Plunge Grinding

scholarly journals Study on the Effect of Grinding Pressure on Material Removal Behavior Performed on a Self-Designed Passive Grinding Simulator

2021 ◽  
Vol 11 (9) ◽  
pp. 4128
Author(s):  
Peng-Zhan Liu ◽  
Wen-Jun Zou ◽  
Jin Peng ◽  
Xu-Dong Song ◽  
Fu-Ren Xiao
Keyword(s):  
Residual Stress ◽  
Surface Roughness ◽  
Service Life ◽  
Material Removal ◽  
Removal Rate ◽  
Grinding Force ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Grinding Temperature ◽  
Grinding Efficiency

Passive grinding is a new rail grinding strategy. In this work, the influence of grinding pressure on the removal behaviors of rail material in passive grinding was investigated by using a self-designed passive grinding simulator. Meanwhile, the surface morphology of the rail and grinding wheel were observed, and the grinding force and temperature were measured during the experiment. Results show that the increase of grinding pressure leads to the rise of rail removal rate, i.e., grinding efficiency, surface roughness, residual stress, grinding force and grinding temperature. Inversely, the enhancement of grinding pressure and grinding force will reduce the grinding ratio, which indicates that service life of grinding wheel decreases. The debris presents dissimilar morphology under different grinding pressure, which reflects the distinction in grinding process. Therefore, for rail passive grinding, the appropriate grinding pressure should be selected to balance the grinding quality and the use of grinding wheel.

scholarly journals Scene Recognition for Indoor Localization Using a Multi-Sensor Fusion Approach

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2847 ◽  
Author(s):  
Mengyun Liu ◽  
Ruizhi Chen ◽  
Deren Li ◽  
Yujin Chen ◽  
Guangyi Guo ◽  
...  
Keyword(s):  
Sensor Fusion ◽  
Indoor Localization ◽  
Scene Recognition ◽  
Fusion Approach

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments

2018 ◽  
Author(s):  
Mohammad-Hashem Haghbayan ◽  
Fahimeh Farahnakian ◽  
Jonne Poikonen ◽  
Markus Laurinen ◽  
Paavo Nevalainen ◽  
...  
Keyword(s):  
Object Detection ◽  
Sensor Fusion ◽  
Fusion Approach

In-Process Prediction of Surface Roughness in Grinding Process by Monitoring of Cutting Force Ratio

2014 ◽  
Vol 627 ◽  
pp. 29-34 ◽  
Author(s):  
Vichaya Thammasing ◽  
Somkiat Tangjitsitcharoen
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Spindle Speed ◽  
Least Square ◽  
Depth Of Cut ◽  
Grinding Process ◽  
Average Surface Roughness ◽  
Average Surface ◽  
Developed Surface ◽  
Force Ratio

The purpose of this research is to develop the models to predict the average surface roughness and the surface roughness during the in-process grinding by monitoring the cutting force ratio. The proposed models are developed based on the experimentally obtained results by employing the exponential function with four factors, which are the spindle speed, the feed rate, the depth of cut, and the cutting force ratio. The experimentally obtained results showed that the dimensionless cutting force ratio is usable to predict the surface roughness during the grinding process, which can be calculated and obtained by taking the ratio of the corresponding time records of the cutting force Fy in the spindle speed direction to that of the cutting force Fz in the radial wheel direction. The multiple regression analysis is utilized to calculate the regression coefficients with the use of the least square method at 95% confident level. The experimentally obtained models have been verified by the new cutting tests. It is proved that the developed surface roughness models can be used to predict the in-process surface roughness with the high accuracy of 93.9% for the average surface roughness and 92.8% for the surface roughness.

scholarly journals The Influence of Tool Composite's Structure During Process of Diamond Grinding of Ceramic Materials

2014 ◽  
Vol 5 (4) ◽  
pp. 9-17
Author(s):  
Józef Gawlik ◽  
Magdalena Niemczewska-Wójcik ◽  
Joanna Krajewska ◽  
Serghej V. Sokhan ◽  
E.A. Paščenko ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Vibration Amplitude ◽  
Positive Impact ◽  
Subsurface Layer ◽  
Ceramic Materials ◽  
Grinding Process ◽  
Positive Effects ◽  
Study Results ◽  
Polycrystalline Ceramics ◽  
The Coefficient Of Friction

Abstract This paper presents the results of the tests performed during the grinding process of the ceramic materials: – polycrystalline ceramics (Zirconium ZrO2) and mono-crystalline ceramics (sapphire α-Al2O3) by the diamond tools. Studies have shown that the concentration (thickening) of the tool composite changes the tool's pore structure when using suitable wetted adamantine additives. Such modified composite has positive impact on tribological properties of the subsurface layer of the machined components. This is manifested by the reduction of the surface roughness and reduction of the vibration amplitude of the coefficient of friction. The possibilities of the positive effects when using wetted additives on the tool's composite during the pressing (briquetting) stage confirm the study results.

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