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    Preparing for part management based on feature recognition technology (AFR) and step file
    (İstanbul Gedik Üniversitesi, 2021) Omair, Sara; Ghasemlounia, Redvan; Al-wswasi, Mazin
    In the Parts planning stage, or as it is called computer-aided process planning (CAPP), decisions significantly affect the manufacturing process. Therefore, these decisions must be based on accurate design information from the computer-aided design (CAD) stage. Obtaining information about the features and dimensions of the part at the design stage helps in choosing the appropriate tools to make each feature and shortening the planning time, in addition to relying on this information to estimate the manufacturing time or cost. Industrial parts management requires many tools and methods during the (CAPP) stage. In this thesis, this information was obtained using feature recognition technology (AFR). A system consisted of several precise algorithms to extract the accurate information for the design using the C Sharp (C#) programming language. Step design files formats were used as input to this system. This system deals with the random information of the step file and infers useful information. Text files are dealt with instead of CAD files because it is more easy and secure in exchanging data between industrial facilities. This system is limited to rotational parts and a certain number of pre-defined features. The process of obtaining feature information and its dimensions contributes to reducing a lot of planning time and a lot of papers and does not require the presence of expertise, as anyone can use the system. And This information was used to estimate the manufacturing time for some features as a case study. This system can be developed to include a larger number of features, and the process of estimating time and cost can be automatically included in it, in addition to choosing equipment, processes, and manufacturing conditions.