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 Surface Accessibility Detection in CAD Environment for Additive Manufacturing
Tác giả hoặc Nhóm tác giả: Thanh Hai Tuan Tran, Mouhamadou Mansour Mbow, Frédéric Vignat, Dinh Son Nguyen
Nơi đăng: Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020); Số: 2021;Từ->đến trang: 799-807;Năm: 2021
Lĩnh vực: Kỹ thuật; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
ABSTRACT
The appearance of Additive Manufacturing (AM) technologies has brought many benefits for industry as well as other areas of life: architecture, medical, etc. In order to create a part by AM technologies especially with EBM technology, it has to go through many steps: designing parts in CAD environment, applying CAM operations, printing the parts and post-print process. Analyzing parts to decide if it is necessary to add the support structures play an important role because of their effects on the quality of the finishing parts. To assess the printability of part, feature recognition is a technique that helps make sure all the features of a part will not exhibit defects before the printing process. There are different studies on how to recognize features after design. Several research groups have developed systems to analyze the characteristics of parts but there are very few systems to analyze parts for the AM process. Therefore, it is necessary to propose a tool to help to perform the feature recognition process in AM technologies. A simple interface presented in the paper has been developed in C++ programming language based on the Open Cascade Technology software to help users automatically recognizing some features of a model. It is applied to a recurrent problem related to support removability. A new type of feature called surface with potential support difficult to remove is defined.
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