The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes an architecture of CAPP based on machining feature recognition. The key techniques such as machining feature recognition, process planning optimization are discussed. In order to recognize the machining feature, the edges are divided into two types: convex Edge and concave Edge. The machining features are divided into four types: AOMF, HOMF, BCMF, and TCMF. The recognition process...
This study develops a neural network based methodology for recognizing manufacturing feature (MF) using the boundary representation (B-rep) information. The methodology is capable of recognizing not only basic MF (including standard MF and non-standard MF) but also interacting MF. Firstly, both the edges' convex concave attribute and the edge's position (whether an edges belongs to the inner edge...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.