Feature-based multi-resolution modeling of solids using history-based Boolean operations — Part I: Theory of history-based boolean operations —

Sang Han Lee; Kyu-Yeul Lee; Yoonwhan Woo; Kang-Soo Lee

doi:10.1007/bf02916177

Feature-based multi-resolution modeling of solids using history-based Boolean operations — Part I: Theory of history-based boolean operations —

Journal of Mechanical Science and Technology ◽

10.1007/bf02916177 ◽

2005 ◽

Vol 19 (2) ◽

pp. 549-557 ◽

Cited By ~ 2

Author(s):

Sang Han Lee ◽

Kyu-Yeul Lee ◽

Yoonwhan Woo ◽

Kang-Soo Lee

Keyword(s):

Boolean Operations ◽

Feature Based ◽

Theory Of History

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A Hybrid Analytical, Solid Modeler and Feature-Based Methodology for Extracting Tool-Workpiece Engagements in Turning

Journal of Computing and Information Science in Engineering ◽

10.1115/1.2752818 ◽

2007 ◽

Vol 7 (3) ◽

pp. 192-202 ◽

Cited By ~ 1

Author(s):

Jing Zhou ◽

Derek Yip-Hoi ◽

Xuemei Huang

Keyword(s):

Analytical Solution ◽

Critical Points ◽

Cutting Forces ◽

Cutting Tool ◽

Critical Component ◽

Turning Process ◽

Boolean Operations ◽

Feature Based ◽

Solid Modeler ◽

Turning System

In order to optimize turning processes, cutting forces need to be accurately predicted. This in turn requires accurate extraction of the geometry of tool-workpiece engagements (TWE) at critical points during machining. TWE extraction is challenging because the in-process workpiece geometry is continually changing as each tool pass is executed. This paper describes research on a hybrid analytical, solid modeler, and feature-based methodology for extracting TWEs generated during general turning. Although a pure solid modeler-based solution can be applied, it will be shown that because of the ability to capture different cutting tool inserts with similar geometry and to model the process in 2D, an analytical solution can be used instead of the solid modeler in many instances. This solution identifies features in the removal volumes, where the engagement conditions are not changing or changing predictably. This leads to significant reductions in the number of Boolean operations that are executed during the extraction of TWEs and associated parameters required for modeling a turning process. TWE extraction is a critical component of a virtual turning system currently under development.

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History-Based Selective Boolean Operations for Feature-Based Multi-resolution Modeling

Computational Science and Its Applications - ICCSA 2006 - Lecture Notes in Computer Science ◽

10.1007/11751540_49 ◽

2006 ◽

pp. 459-468 ◽

Cited By ~ 4

Author(s):

Sang Hun Lee ◽

Kunwoo Lee ◽

Sungchan Kim

Keyword(s):

Boolean Operations ◽

Feature Based

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Multi-Resolution Modeling of Feature-Based Solids Based on Non-Manifold Topological Framework

Volume 3: 25th Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2005-84946 ◽

2005 ◽

Author(s):

Sang Hun Lee ◽

Kyu-Yeul Lee

Keyword(s):

Collaborative Design ◽

Virtual Prototyping ◽

Boolean Operations ◽

New Approach ◽

Levels Of Detail ◽

Solid Models ◽

History Of ◽

Feature Based ◽

Multiresolution Modeling ◽

Commutative Property

The requirements of multi-resolution models of feature-based solids, which represent an object at many levels of feature detail, are increasing for engineering purposes, such as analysis, network-based collaborative design, virtual prototyping and manufacturing. To provide multi-resolution models for various applications, it is essential to generate adequate solid models at varying levels of detail (LOD) after feature rearrangement, based on the LOD criteria. However, the non-commutative property of the union and subtraction Boolean operations is a severe obstacle to arbitrary feature rearrangement. To solve this problem we propose a new approach based on the non-manifold topological representation and the merge-and-select algorithm for non-manifold Boolean operations. In this approach, the merge-and-select algorithm is modified to satisfy the commutative law between union and subtraction operations by considering the history of the Boolean operations. Because this algorithm guarantees the same resulting shape as the original and reasonable shapes at the intermediate LODs for an arbitrary rearrangement of its features, various LOD criteria can be applied for multiresolution modeling in different applications.

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