contributor author | Li Min Zhu | |
contributor author | Xiao Ming Zhang | |
contributor author | Han Ding | |
contributor author | You Lun Xiong | |
date accessioned | 2017-05-09T00:36:53Z | |
date available | 2017-05-09T00:36:53Z | |
date copyright | December, 2010 | |
date issued | 2010 | |
identifier issn | 1530-9827 | |
identifier other | JCISB6-26028#041003_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/142760 | |
description abstract | This paper presents a unified framework for computing a surface to approximate a target shape defined by discrete data points. A signed point-to-surface distance function is defined, and its properties are investigated, especially, its second-order Taylor approximant is derived. The intercorrelations between the signed and the squared distance functions are clarified, and it is demonstrated that the squared distance function studied in the previous works is just the Type I squared distance function deduced from the signed distance function. It is also shown that surface approximations under different criteria and constraints can all be formulated as optimization problems with specified requirements on the residual errors represented by the signed distance functions, and that classical numerical optimization algorithms can be directly applied to solve them since the derivatives of the involved objective functions and constraint functions are all available. Examples of global cutter position optimization for flank milling of ruled surface with a cylindrical tool, which requires approximating the tool envelope surface to the point cloud on the design surface following the minimum zone criterion, are given to confirm the validity of the proposed approach. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Geometry of Signed Point-to-Surface Distance Function and Its Application to Surface Approximation | |
type | Journal Paper | |
journal volume | 10 | |
journal issue | 4 | |
journal title | Journal of Computing and Information Science in Engineering | |
identifier doi | 10.1115/1.3510588 | |
journal fristpage | 41003 | |
identifier eissn | 1530-9827 | |
keywords | Design | |
keywords | Optimization | |
keywords | Approximation | |
keywords | Errors | |
keywords | Functions | |
keywords | Milling | |
keywords | Optimization algorithms | |
keywords | Shapes AND Algorithms | |
tree | Journal of Computing and Information Science in Engineering:;2010:;volume( 010 ):;issue: 004 | |
contenttype | Fulltext | |