Study on Surface Quality Prediction for Web-Oriented NC Machining
|Course||Applied Computer Technology|
|Keywords||NC machining simulation surface roughness network|
The important characteristic parameter evaluating the quality of workpiece surface is surface roughness, which has great influence on performance and life of workpiece, such as wear ability of workpiece, stability of fitting behavior, fatigue durability, corrosion resistance, and leak tightness etc. Machining process is extremely complex, which relates to not only elastic mechanics, plastic mechanics and fracturing mechanics, but also thermodynamics, and tribology etc. Recently, some attempts have been made to study the mechanism of cutting process, develop simulation model and predict the characteristcs of surface quality in machining operation, which were simulated by computer. However, most of the studies were simulated geometrically, with little regard to physical simulation and factors influencing surface topography. Therefore, it is also an important issue in the research area to study the quality of workpiece surface by simulation. With the development of technologies of computer and information, web-oriented NC machining and prediction of surface’s quality are becoming trends of modern manufacturing technology.The purpose of the dissertation is to found a web-oriented system to predict the surface quality of NC machining, which has many virtues, such as low cost, high efficiency and universality etc. By applying the system to practical and guiding production, manufacturing costs can be reduced, with comprehensive strength and competitiveness of enterprises being enhanced.In this dissertation, technologies of Java, VRML and the interface between them were taken as tools to implement network environment. Firstly, mechanism of machined surface is studied and characteristic factors which have effects to surface topography in the turning operation are determined. Secondly, simulated model of surface forming in turning is established based on matrix transformation and vector operation, in which effects of nose radius, feed rate, and effects to workpiece surface caused by vibration are mostly considered. Lastly, combining network programming language Java with VRML, interface of the system was designed to export predictive value of surface roughness and three-dimensional dynamic simulated results. Furthermore the correctness of the simulated results was also verified.The simulated results of surface quality in NC machining show that, the model and the simulated results in the dissertation can be applied to predict the surface’s quality in turning, and that the interface is easy to be operated and implemented.