Development of New Technique for Reverse Engineering by Microstructure Features Detection

Reverse Engineering in the field of material science is considered one of the most important topics, The process is very complicated and depends on different factors. In this work, new software was developed to calculate the microstructure features of metals and alloys such as grain size number, the average diameter of grain, number of particles per unit area, and number of particles per unit volume. The volume fraction and the terms related to volume fraction such as shape factor, edge-to-edge spacing, and distribution of secondary phases were detected by the point count technique. Both quantitative and qualitative analyses were done. The microstructure features were calculated for the selected samples and compared with the standard photos stored in the program, The comparison depends mainly on comparing each constituent characteristic. The chemical composition comparison was taken into account, The C++ and MATLAB environment were used as a tool in this work which can work under Windows or Linux. The new technique has different applications in metallurgy, industry, medicine, and alloy design.

Keywords:

detection , Software , Microstructure , qualitative , quantitative , Reverse engineering