Research on the method of detecting surface texture defects on machined parts

concerningmachiningParts of the surface texture defect detection methods to explore, with China's industrial development level, the degree of modernisation of industrial production more and more high, in view of the increasing consumer demand for product quality, a number of enterprises through a variety of means to improve the quality level of machined parts, before that, the enterprise will often be machined parts surface to be a comprehensive test, the test content mainly covers the parts of the texture, smoothness and so on. Scope, which is a product production process for the quality of the parts to carry out testing and control of the key processes. According to modern industrial institutions on machining product quality requirements are increasingly stringent conditions, especially for precision instruments, the detection of surface texture defects in the machining production process has been widely used, based on this author through the machining parts texture defects in the detection of the importance of the analysis, pointing out the reality of the production of the more common detection methods, with the aim of improving the quality level of machined parts. Keywords: machining; part surface; defect detection; method DOI: 10.16640/ki.37-1222/t.2016.11.010 0 Preface. Increasing degree of industrialisation in China, stimulating the domestic demand for machined parts have increased and increased demand, many machining companies see the opportunity to seize the opportunity to make full use of machined parts surface texture defect detection and other types of means to enhance the quality of the parts produced, structural analysis method, filter detection method, etc. are the same means of detection, due to the different machined parts have their own characteristics, so in the processing of the Its texture defect detection flexibility to use these methods. At this stage of the detection method, for the larger size of machined parts detection is more accurate, but for the smaller size of the parts to carry out defect detection, the accuracy is lower, unable to achieve the desired results. Machining parts produced, the surface texture in any case there will be defects, but in the actual process we did not take the initiative to accurately predict some of the defects on the surface of the parts, at this time we are required to find some machining parts surface texture defect detection means to do a more accurate detection of defects on the surface of the parts as well as analysis. Modern industrial production continues to undergo drastic changes, modern machining production operations are part of modern industrial production, machining enterprises must always uphold the “quality as the fundamental” production awareness, by enhancing product quality to enhance the overall competitiveness of enterprises to maintain the vitality of the enterprise, so the machining of parts quality and quality, for mechanical enterprises. Therefore, the quality of parts produced by machining has a great impact on the healthy development of mechanical enterprises, which highlights the importance of machining parts texture defect detection. As we all know, today's machines are usually connected by various components and parts sequentially, if the quality of the parts used by the machine does not meet the requirements, it may have an impact on the normal operation of the machine, the situation is serious and even lead to more serious losses and consequences. In the machining production process, the production of parts will be subject to all kinds of factors, such as the characteristics of the material itself, processing tool changes, the complexity of the machining process is very high or difficult, etc., will bring different degrees of impact on the surface of the parts, common defects in the parts are mainly reflective poor performance, improper size or direction of the parts is not correct, and so on. If only with the help of traditional detection methods, but not the use of new detection technology, often makes it difficult for us to detect small texture defects. Therefore, for machining parts texture defect detection is extremely critical, enterprises need to increase the surface texture of mechanical parts testing efforts, which is not only the requirements of economic development, but also to a certain extent to promote the development of society and change. In the actual production and processing, the parts surface texture defect detection methods, mainly by the image to be identified, the texture to be extracted, distinguish between the noise and texture shortcomings, as well as computing and other ways to get. Below, to these common texture defect detection methods are briefly introduced one by one. Firstly, image recognition is one of the most widely used inspection methods. Inspectors usually do filtering on the surface of machined parts, in order to achieve the parts surface background image analysis and identification, this practice can enhance the texture clarity of the machined parts surface image, which is like in the PS surface image of machined parts to improve the pixel operation, so you can increase the degree of texture defects in the parts of the pattern of the discernible degree of reduction of the parts of the background pattern of texture defects on the interference pattern, but also clearer Pattern interference, but also more clearly distinguish and differentiate between the background texture pattern of machined parts and defective texture pattern, so as to better detect possible texture defects on the surface of the parts. The use of image recognition methods, we must pay attention to the impact of the surrounding environmental factors, in view of the noise will give the filtering impact on the detection of texture defects on the surface of the parts, which in turn affects the clarity of the texture and distinguish between the accuracy of the background pattern, so the detection of the surrounding environment should try to make the interference to reduce, in order to enhance the detection accuracy. Non-unique, for machining parts background pattern and texture to do image recognition, by virtue of the machining parts surface texture image to make a more comprehensive extraction, and the use of relevant instruments for these patterns to be carefully observed and analysed and processed. The actual detection, the second-order statistics will be selected to measure the machining parts that surface texture extraction, and there are professional computer system software for the extraction of the texture to carry out various types of analysis and other processing work, after the completion of the processing, it is necessary to carefully sort out the data related to the texture pattern, distinguish between the texture background pattern and the presentation of texture defects in the pattern, relying on the texture extraction to detect the presence of texture on the surface of machining parts. The texture defects on the surface of machined parts are detected by texture extraction. Machine parts in actual production and processing, the third commonly used detection method is image segmentation, through which to effectively distinguish between noise and texture defects of the difference, this method is not only able to carry out defect detection for parts, but also to find out the texture defects to do the corresponding processing, the distribution of noise points is uneven, strong randomness.