A comparative study of mechanical and microstructural characteristics of aluminium and titanium undergoing ultrasonic assisted compression testing

2017 ◽  
Vol 682 ◽  
pp. 376-388 ◽  
Author(s):  
Haiyang Zhou ◽  
Hongzhi Cui ◽  
Qing-Hua Qin ◽  
Hui Wang ◽  
Yaogen Shen
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.


Author(s):  
M R Shabgard ◽  
M R Farahmand ◽  
A Ivanov

The phenomena occurring between the electrodes in electrical discharge machining (EDM) are still not fully understood. Poor quantitative knowledge of the sources of variability affecting this process hinders the identification of its natural tolerance limits. This paper presents a systematic methodology for developing 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 ultrasonic-assisted EDM (US/EDM) of tungsten carbide. The models obtained were used to analyse the effects of input parameters on machining performance. A comparative study was conducted to determine the influence of ultrasonic vibration of the tool on machining performance. The results show that the MRR is significantly increased in ultrasonic-assisted EDM of cemented tungsten carbide (WC—10%Co), especially in finishing modes, and can be up to four times greater than that of conventional EDM. The TWR and Ra values are also increased slightly in US/EDM. The mathematical models presented can be used for optimization of the machining parameters.


2019 ◽  
Author(s):  
Manuel Jäckisch ◽  
Markus Michalski ◽  
Marion Merklein

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