Papers by Keyword: Tool Setting

Abstract: The tool setting error model is put forward in this paper, according to the characteristics of the numerical control lathe tool setting error. On the basis of analyzing the influence factors of tool setting error, the influence of the tool setting error on the part shape error is discussed. Analysis shows that the shape error and size error is produced by the tool setting error, and the error will increase with the diameter size of tool setting error, the cutter diameter, amount of feed and other factors.

Abstract: This article focuses on the tool setting methods and techniques of disk parts and hole parts , in order to improve the precision and efficiency of the tool setting, so as to improve NC milling machining quality and machining efficiency of Nc milling.

Abstract: Based on microscope and image processing, a method of auto tool setting for micro turning was innovated. Firstly, real-time images of tool setting were obtained by high pixel CCD camera, then specific image processing method and algorithm were applied to these images and the deviation between the tool point and target position was calculated. Based on the gap value, tool feeding increment value was adjusted and image processing operations were executed. These steps were repeated until the gap was zero, which means that tool setting was finished. Moreover, a reliability analysis was performed. Result indicated that the precision of tool setting is satisfactory.

Abstract: In NC machining large moulds, second mold will install deviated orientation problem. Based on image technology, after the second for installation of workpiece, collected clip in the concrete pins on measuring and calculating the image processing, analysis, and finally got the localization generated during installation and adjustment, the deviation of the machine to eliminate biases. In image processing of PSCP thinning algorithm, based on the characteristics of image edge detection were analyzed, the extraction and processing, improve the machining accuracy and efficiency. This method can also be used in small parts processing detection, etc.

Abstract: The realization of the handwheel function is a key problem for development of numerical control system of micro milling machine. This paper introduced the interface specifications and hardware connecting methods of handwheel NK100AB2, developed control program based on PMAC (Programmable Multi-Axis Controller) and industrial personal computer, finally achieved the function of axes selecting and the feed rate selecting. Based on the traditional edge detector tool setting method, an improved tool setting method is proposed. The inverted micro milling cutter hilt is used to replace the traditional edge detector, which avoids the opposite reamer error caused by the irregular cutter blade shape, finally, tool setting function is achieved through the collecting of electrical signal. The research will provide a useful reference for the realization of handwheel and tool setting of micro milling machine based on PMAC.

Abstract: Precise and efficient tool setting technique and accurate tool shape monitoring are of essential importance in ultra-precision diamond turning operation. The traditional way of tool setting are typically laborious, inefficient and rely heavily on experience. A big part of the tool setting is done by using a contact probe such as LVDT. The contact tool setting station can normally, depending on the resolution of the probes, place the tool tip to within a 1~10μm positioning accuracy. However, it is running the risk of damage the delicate tool tip and has the ambiguity introduced by contact point of tool and touch probe. The optical/non-contact way of setting the tool do have the advantage of not having to touch the tool, but its resolution is limited by the optical diffraction limit and the resolution of the CCD device used (mm/pixel). A non-contact precision tool setting system is developed and built in this study using edge-detection image processing and sub-pixel dividing techniques in conjunction with CNC controller of the precision turning machine to improve the system presently available. Depending on the sampling distance of the images, the error band gets wider when the sampling step becomes larger. In the case of 0.1μm sampling distance the obtained error band was within ±0.1μm and the results showed that tools of different shapes namely round, half-round and sharp tool could all be positioned to within an error band of ±0.1μm by using the developed tool setting system.