Development of RB Ceramics Bond Diamond Wheel for Eco-friendly ELID Grinding(Nanoprecision Elid grinding)

Author(s):  
Akihiko NEMOTO ◽  
Nobuhide ITOH ◽  
Teruko KATOH ◽  
Hitoshi OHMORI ◽  
Y. Murata
Keyword(s):  
2011 ◽  
Vol 175 ◽  
pp. 131-135
Author(s):  
Fu Qiang Tong ◽  
Fei Hu Zhang ◽  
Dian Rong Luan

TN85 cermets is one kind of particle reinforced metal matrix composites, which is high hardness, good wear resistance, and bring great difficulties in processing, so it is necessary to study the processing performance. During the test on ELID grinding TN85 cermets, it is found that plastic removal is the main ways during grinding TN85 cermets materials. The powder particle size of W2.5 diamond wheel is successfully used in full removal of TN85 cermets plastic, the surface roughness value of rms: 16.81nm and Ra: 12.52nm. The results showed that: ELID grinding wheel with diamond powder technology can be used in ultra-precision machining TN85 cermets.


2005 ◽  
Vol 2005.41 (0) ◽  
pp. 231-232
Author(s):  
Yuhji Hasegawa ◽  
Toshiaki Ohmori ◽  
Nobuhide Itoh ◽  
Teruko Kato ◽  
Hitoshi Ohmori ◽  
...  
Keyword(s):  

2004 ◽  
Vol 471-472 ◽  
pp. 317-320 ◽  
Author(s):  
Gui Wen Kang ◽  
Fei Hu Zhang ◽  
Shen Dong

ELID grinding is widely used as a high-productivity and super-precision grinding method for hard and brittle materials. It continues grinding stably with metal bonded diamond wheel due to its in-process dressing. Magnetorheological finishing (MRF) is a novel precision finishing process for hard and brittle materials. In this paper, ELID grinding and MRF are adopted to get high surface quality and remove subsurface damage of hard and brittle materials. The results show that this combination gives attention to both efficiency and quality and can be used to replace conventional optics manufacturing.


2010 ◽  
Vol 126-128 ◽  
pp. 1007-1012 ◽  
Author(s):  
Shao Hui Yin ◽  
Kun Tang ◽  
Hitoshi Ohmori ◽  
Xian Liang Zeng ◽  
Feng Jun Chen ◽  
...  

This paper reports a systematic investigation of a nozzle-type ELID grinding characteristics of cemented carbides. Two groups of experimental scheme were carried on by using fine grain cast iron diamond wheel and nozzle-type ELID grinding apparatus. The grinding forces were measured by a dynamometer and the ground surfaces were characterized using scanning electron microscopy (SEM) and atomic force microscope (AFM). The influences of electrolytic and grinding parameters on grinding force were discussed. The material removal mode and micro-morphology characteristics were also analyzed.


2016 ◽  
Vol 723 ◽  
pp. 434-438 ◽  
Author(s):  
Hua Li Zhang ◽  
Ji Cai Kuai

The formation mechanism of α-Fe2O3 on iron-bonded diamond wheel surface by ELID grinding is presented here. X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) techniques were used to analyze the compositions of the oxide films. X-ray diffraction analysis demonstrated the existence of the diffraction peak of α-Fe2O3, which was observed in ELID grinding iron-bonded diamond wheel surface. To illustrate the correctness of our theory, X-ray photoelectron spectroscopy analysis was also performed. Results reveal that the characteristic spectrum of oxide film on ELID wheel has coincidence with the standard spectrum of Fe2p in α-Fe2O3. These results suggest the existence of α-Fe2O3 in oxide films on the grinding wheel surface. The potentiality that α-Fe2O3 can bring polishing effect to ELID grinding process has also been discussed. It helps understand how ELID grinding can achieve excellent surface finish for the workpiece.


2018 ◽  
Vol 2018.26 (0) ◽  
pp. 702
Author(s):  
Masaki ISHITSUKA ◽  
Nobuhide ITOH ◽  
Kazuki SHIMIZU ◽  
Katsuhumi INAZAWA ◽  
Hitoshi OHMORI ◽  
...  

2019 ◽  
Vol 2019.27 (0) ◽  
pp. 702
Author(s):  
Takahiro SHIMIZU ◽  
Nobuhide ITOH ◽  
Masaki ISHITSUKA ◽  
Katsuhumi INAZAWA ◽  
Hitoshi OHMORI ◽  
...  

2009 ◽  
Vol 76-78 ◽  
pp. 181-185
Author(s):  
Wei Li ◽  
Bao Gong Geng ◽  
Zhi Yang Song ◽  
Hai Hui Zheng

In this paper, a precise profile ELID grinding with Electrical Discharge Truing(EDT) has been introduced, and some experiments for efficient and precision EDT process with cast iron-bonded diamond wheel have been carried out with four types of medium: mist, water, pressure air, air, furthermore some machining parameters e.g. electric current, electric voltage have been discussed in detail. For analyzing of the accuracy of EDT process with cast-iron bonded diamond wheel, a profile measurement method with software of MATLAB was used for analyzing of the profiles of cast-iron-bonded diamond wheel and electrode. It can be found that the electrode’s profile can be kept with the consistent designed profile, and the grinding wheel with the designed profile has been got by the appropriate EDT process. Therefore the higher efficiency and precision EDT process can be achieved by the appropriate EDT machining parameters.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1054
Author(s):  
Guo Bi ◽  
Shan Liu ◽  
Shibo Su ◽  
Zhongxue Wang

Acoustic emission (AE) phenomenon has a direct relationship with the interaction of tool and material which makes AE the most sensitive one among various process variables. However, its prominent sensitivity also means the characteristics of random and board band. Feature representation is a difficult problem for AE-based monitoring and determines the accuracy of monitoring system. It is knottier for the situation of using diamond wheel grinding optical components, not only because of the complexity of grinding process but also the high requirement on surface and subsurface quality. This paper is dedicated to AE-based condition monitoring of diamond wheel during grinding brittle materials and feature representation is paid more attention. AE signal of brittle-regime grinding is modeled as a superposition of a series of burst-type AE events. Theory analysis manifested that original time waveform and frequency spectrum are all suitable for feature representation. Considering the convolution form of b-AE in time domain, a convolutional neural network with original time waveform of AE signals as the input is built for multi-class classification of wheel state. Detailed state division in a wheel’s whole life cycle is realized and the accuracy is over 90%. Different from the overlapping in time domain, AE components of different crack mechanisms are probably separated in frequency domain. From this point of view, AE spectrums are more suitable for feature extraction than the original time waveform. In addition, the time sequence of AE samples is essential for the evaluation of wheel’s life elapse and making use of sequential information is just the idea behind recurrent neural network (RNN). Therefore, long short-term memory (LSTM), a special kind of RNN, is used to build a regression prediction model of wheel state with AE spectrums as the model input and satisfactory prediction accuracy is acquired on the test set.


2016 ◽  
Vol 86 (5-8) ◽  
pp. 1165-1171 ◽  
Author(s):  
Xiaolin Yu ◽  
Shutao Huang ◽  
Lifu Xu
Keyword(s):  

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