Ultrasonic Vibration Assisted Mechanical Chemical Polishing (MCP) of Silicon Carbide

2012 ◽  
Vol 565 ◽  
pp. 255-260
Author(s):  
Yunn Shiuan Liao ◽  
Y.P. Yu ◽  
C.W. Huang

The mechanical chemical polishing (MCP) process which uses soft abrasives to polish hard workpiece have been employed recently to polish silicon carbide (SiC) ceramic for various applications. An ultrasonic vibration assisted apparatus is designed to investigate the effects of ultrasonic vibration on the efficiency of MCP of SiC by ferric oxide (Fe2O3) abrasives. Experimental results show that the ultrasonic vibration can effectively improve polishing efficiency; the material removal rate is increased by about 60~70%. But it does not lead to a better final surface finish. The effect is more obvious under a higher working pressure condition. It is also found that the output power of ultrasonic transducer is positively correlated with material removal rate. The rise of polishing efficiency is attributed to the increase of local asperities temperatures which promote chemical reaction of silicon carbide with oxygen to form passivation layers. The layers are removed by ferric oxide abrasives afterward.

Author(s):  
Gurpreet Singh ◽  
DR Prajapati ◽  
PS Satsangi

The micro-electrical discharge machining process is hindered by low material removal rate and low surface quality, which bound its capability. The assistance of ultrasonic vibration and magnetic pulling force in micro-electrical discharge machining helps to overcome this limitation and increase the stability of the machining process. In the present research, an attempt has been made on Taguchi based GRA optimization for µEDM assisted with ultrasonic vibration and magnetic pulling force while µEDM of SKD-5 die steel with the tubular copper electrode. The process parameters such as ultrasonic vibration, magnetic pulling force, tool rotation, energy and feed rate have been chosen as process variables. Material removal rate and taper of the feature have been selected as response measures. From the experimental study, it has been found that response output measures have been significantly improved by 18% as compared to non assisted µEDM. The best optimal combination of input parameters for improved performance measures were recorded as machining with ultrasonic vibration (U1), 0.25 kgf of magnetic pulling force (M1), 600 rpm of tool rotation (R2), 3.38 mJ of energy (E3) and 1.5 mm/min of Tool feed rate (F3). The confirmation trail was also carried out for the validation of the results attained by Grey Relational Analysis and confirmed that there is a substantial improvement with both assistance applied simultaneously.


2010 ◽  
Vol 154-155 ◽  
pp. 1604-1613
Author(s):  
Mohammad Reza Shabgard ◽  
Babak Sadizadeh ◽  
Keivan Amini ◽  
Hamid Pourziaie

The correct selection of the machining parameters is one of the most significant issues to take into consideration in Ultrasonic-assisted Electrical Discharge Machining (US-EDM) and EDM processes. In the present work, a study has been made to develop and extract statistical models to show the relationship between important machining performance data (material removal rate (MRR), tool wear ratio (TWR) and surface roughness Ra) and the input machining parameters (pulse current, and pulse-on time) in the EDM and US-EDM of AISI H13. The models obtained were used to analyze the effects of input parameters on machining performance. In addition, a comparative study was carried out to investigate the effect of ultrasonic vibration of the workpiece on machining performance. The results show that Ultrasonic vibration of the workpiece can significantly reduce the inactive pulses and improves the stability of process. Also US-EDM is effective in attaining a high material removal rate (MRR) in finishing regime in comparison with conventional EDM. The results of Analysis of Variance (ANOVA) indicate that the proposed mathematical models can adequately explain the performance within the limits of the factors being studied.


2013 ◽  
Vol 372 ◽  
pp. 158-164
Author(s):  
Chang Chun Yu

This paper analysis the process of Al2O3 engineering ceramics grinding and study the mechanism of rotary ultrasonic-vibration grinding. Then setting the model of the material removal rate and grinding force, which is based on Creasing fracture mechanics. Results indicate rotary ultrasonic-vibration grinding can apparently improve the material removal rate and cut down the grinding force.


2009 ◽  
Vol 416 ◽  
pp. 609-613
Author(s):  
Ming Li Zhao ◽  
Bo Zhao ◽  
Yu Qing Wang ◽  
Guo Fu Gao

Relative motion of single abrasive is analyzed for the different applied directions of longitudinal ultrasonic vibration, and its locus is simulated in the present paper. The research results show that the locus in two-dimensional ultrasonic vibration is only similar to that in y-direction, and both are close to sinusoid curves. The width of grooves scratched by abrasive grains y-direction (axial direction of grinding wheel) is two times of the vibration amplitude, and the material removal rate increases remarkably. In case of x-direction (tangential direction of grinding wheel) ultrasonic vibration, abrasive grains with periodic force impact material surface with high frequency vibration, which make material fracture removal easy. Therefore, the high efficiency essence of material removal in two-dimensional ultrasonic grinding is revealed in view of locus. In addition, according to the results of grinding experiments, under same conditions good surface quality can be obtained in two-dimensional ultrasonic grinding and material removal rate in common grinding is the lowest. Consequently it is further proved that the method of two-dimensional ultrasonic vibration grinding is an effective one for ceramic materials.


2021 ◽  
Vol 1018 ◽  
pp. 51-58
Author(s):  
Tran Thi Hong ◽  
Nguyen Van Cuong ◽  
Bui Thanh Danh ◽  
Le Hong Ky ◽  
Nguyen Hong Linh ◽  
...  

This study aims to minimize electrode wear (EW) and maximize material removal rate (MRR) in powder mixed electrical discharge machining (PMEDM) process of 9CrSi alloy steel with silicon carbide powder. To achieve these objectives, Taguchi method and Grey Relational Analysis (GRA) are applied to optimize one two-level and four three-level PMEDM process parameters, including Ton, Toff, CP, IP and SV in eighteen experiments based on an orthogonal array L18 (21 and 43). Results have provided a set of optimal PMEDM process parameters in which Ton has the strongest effect on SW and MRR while that of CP is insignificant. The obtained minimum EW and maximum MRR have been verified and proven by a PMEDM experiment using optimal process parameters. The proposed method can be further applied to optimize other PMEDM process parameters for different objectives.


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