The Implementation of the Material Loss Detection Method in the Author Computer Aided Overhaul Software

Abstract

In order to prepare a refurbishing process of an element that characterize with a material loss which is a result of worn process or damage could be 3D scanned. Then it 3D model is gained after triangularization process and surface fitting. This model is compared with a CAD model which is an element design representation. In order to provide such comparison, the proper implementation of the MLDMCS (Material Loss Detection Method for Cylindrical Shape parts) in to the software is needed. The software is prepared in Visual Studio environment (.NET) with C# programing language (the algorithm code and the interface), SQL server (database) and Siemens NX software (PARASOLID internal libraries). MLDMCS is implemented as the one of the author Computer Aided Overhaul software modules (CAO). The implementation is a complex task, according to: interface preparation, data collecting, data presentation an input data form, proper set of input data configuration, preparation of 3D graphics processing an analysis algorithms, preparation of output data form and interpretation. The result of software algorithm should be an easy to interpret set of data with a possibility of automatic rapport generation. Furthermore the data should be collected in a data base for future analysis of element worn and damage repeatable progression. Data collected each time from a element during it technical state examination gives also an answer to future proceeding according critical quantity of refurbishing processes in recirculation of technical mean. Additionally collected data gives suggestion of it repeatability in worn or damage after various technologies of refurbishing. Future systems probably will be set on such solution and MLDMCS will be one of typical method used in industry oriented to overhaul of machines parts. Previously presented article, shows only pure method with it foundations. Nowadays solutions are mainly based on a metrology, also supported with CMM (Coordinate Measuring Machines) and offline measuring paths generating systems. The accuracy of proposed solution (3D scanning and transformation of point clouds to solid model) is less accurate than typical measuring methods; however foresights of application are promising. The demand accuracy is sufficient in order to prepare a cladding process by turning worn-out or damaged surface layer.