کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
508607 865365 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic evaluation of machining allowance of precision castings based on plane features from 3D point cloud
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Automatic evaluation of machining allowance of precision castings based on plane features from 3D point cloud
چکیده انگلیسی

A novel automatic precision casting machining allowance evaluation approach, which is accomplished by a two-step rough-precise point cloud registration based on plane features extracted from the two point clouds (i.e. the measured precision casting point cloud and the point cloud discretized from the CAD model), is proposed in this paper. Firstly, the two point clouds are registered roughly by PCA algorithm. Secondly, an improved plane fitting and merging algorithm is proposed to extract the plane features from both the two point clouds. The extracted plane features are matched by searching the nearest plane feature description vector. The rotation matrix for the precise registration can then be derived by registering the normal vectors of the matched plane features. Finally, the machining allowance at each point is obtained by calculating the distance between the corresponding points along the normal direction. The experiment on precision casting machining allowance evaluation is given to show the performance of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Industry - Volume 64, Issue 9, December 2013, Pages 1129–1137
نویسندگان
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