Development of product complexity index in 3D models using a hybrid feature recognition method with rule-based and graph-based methods

A machining process is very dependent on the model created. The more complicated model, greater design difficulty and process. Reduced production costs can help a company increase profits. focus cost be achieved in number of ways, first which by replacing materials or changing design. It better to reduce product during stage than manufacturing stage. main objective this research develop an application that recognize features CAD program calculate complexity index shapes real time. In study, prismatic slab classified Jong-Yun Jung were used. feature recognition method applied study hybrid rule-based graph-based methods, uses STL file developed Sunil Pande obtain all information needed. Then, results are extracted from data used being studied. This index, following earlier El Maraghy. Validation performed comparing software count with calculated STEP Hendri Sholeh et al. develops recognizes calculates will allow designers expected value As result, estimated seen early on. Finally, tested for calculating values combined model. use eight slots pockets as benchmark scoring shape produces accurate