Error analysis and feature detection of electrochemical machining microhole
                                                                          ZHANG Jiaqiao, ZHANG Shouyang
                                            （School of Mechanical Engineering, Nantong University, Nantong 226019, China）

Abstract: Aiming at the problem of electrochemical machining small holes,the influencing factors of machining accuracy,the method of feature detection,the processing of digital image were studied,and the function relation between the working circle length and radial clearance,the volum of electrolyte in the hole was concluded when electrolytic machining.A method based on Matlab digital image processing technology was proposed,and the microhole images obtained by electrolysis were filtered, denoised, edge detected and feature extracted,and the geometric feature parameter values such as small hole roundness, taper and roughness were obtained by quantitative analysising of microhole images.Furthermore, the machining errors were quantitatively evaluated according to the test results, and the parameters of electrolytic machining were adjusted in time.The results indicate that the detection method which is well designed has low detection rate, low leakage rate and short detection time.

Key words: microhole; electrochemical machining; Matlab; image processing;feature detection