Wire electric discharge machining characteristics of titanium nickel shape memory alloy

2014 ◽  
Vol 24 (10) ◽  
pp. 3201-3209 ◽  
Author(s):  
M. MANJAIAH ◽  
S. NARENDRANATH ◽  
S. BASAVARAJAPPA ◽  
V.N. GAITONDE
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Electric Discharge ◽  
Electric Discharge Machining ◽  
Titanium Nickel ◽  
Wire Electric Discharge Machining ◽  
Machining Characteristics

A millimeter-Sized Robot Using SMA and Its Control

1995 ◽  
Vol 7 (6) ◽  
pp. 449-457 ◽  
Author(s):  
Katsutoshi Kuribayashi ◽  
◽  
Seiji Shimizu
Keyword(s):  
Shape Memory Alloy ◽  
Laser Beam ◽  
Shape Memory ◽  
Electric Discharge ◽  
Joint Angle ◽  
Weight Ratio ◽  
Electric Discharge Machining ◽  
Strong Force ◽  
Wire Electric Discharge Machining ◽  
Sma Actuator

A millimeter-sized robot has been fabricated using shape memory alloy (SMA) actuators, focusing on its advantages including a strong force to weight ratio and extendibility to micro sizes. The Al links for the robot were made by wire-electric discharge machining (W-EDM). A push-pull type SMA actuator has been constructed with a couple of SMA sheets, each 50<I>μ</I>m thick, which were cut by using a laser beam. They were set on Al links after they had been bent spirally. The dynamics of a larger-size SMA actuator were analyzed theoretically and experimentally. This theory was then applied to estimate the dynamics of the millimeter-sized SMA actuator proposed here. The joint angle was controlled with and without the sensor feedback.

Modeling and Optimization of Process Parameters in Micro Wire EDM by Genetic Algorithm

2009 ◽  
Vol 76-78 ◽  
pp. 566-570 ◽  
Author(s):  
K.P. Somashekhar ◽  
N. Ramachandran ◽  
Jose Mathew
Keyword(s):  
Genetic Algorithm ◽  
Process Parameters ◽  
Electric Discharge ◽  
Regression Models ◽  
Electric Discharge Machining ◽  
Optimization Of Process Parameters ◽  
Wire Electric Discharge Machining ◽  
Factor Regression ◽  
Wedm Process ◽  
Machining Characteristics

The present work is aimed at optimizing the parameters of micro Wire Electric Discharge Machining (µ-WEDM) process by considering the simultaneous effects of input parameters viz: gap voltage, capacitance and feed rate. Experiments were planned and conducted using DoE techniques. ANOVA was performed to find out the significance of each factor. Regression models were developed for the experimental results of surface roughness and overcut of the micro slots produced on aluminium. Then Genetic Algorithm (GA) was employed to determine the values of optimal process parameters for the desired output value of micro wire electric discharge machining characteristics.

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