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reverse engineering – recent advances and applications - OpenLibra

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XII Preface<br />

the geometry <strong>and</strong> topology of complex shapes from low-level unorganized 3D<br />

scanning data, such as point clouds, are presented. The focus here is on robust<br />

extraction of shape information with guaranteed quality properties from such 3D<br />

scans, <strong>and</strong> also on the efficient computation of such shapes from raw scans involving<br />

millions of sample points. Secondly, methods <strong>and</strong> techniques are presented which<br />

help the process of manufacturing 3D shapes from information which is <strong>reverse</strong><br />

engineered from previously manufactured shapes. Here, the focus is on guaranteeing<br />

required quality <strong>and</strong> cost related metrics throughout the entire mechanical<br />

manufacturing process.<br />

In Chapter 6, Keller et al. present a multiresolution method for the extraction of<br />

accurate 3D surfaces from unorganized point clouds. Attractive aspects of the method<br />

are its simplicity of implementation, ability to capture the shape of complex surface<br />

structures with guaranteed connectivity properties, <strong>and</strong> scalability to real-world point<br />

clouds of millions of samples. The method is demonstrated for surface reconstruction<br />

of detail object scans as well as for spatially large point clouds obtained from<br />

environmental LiDaR scans.<br />

In Chapter 7, Kaisarlis presents a systematic approach for geometric <strong>and</strong> dimensional<br />

tolerancing in <strong>reverse</strong> <strong>engineering</strong> mechanical parts. Tolerancing is a vital component<br />

of the accurate manufacturing process of such parts, both in terms of capturing such<br />

variability in a physical model <strong>and</strong> in terms of extracting tolerancing-related<br />

information from existing models <strong>and</strong> design artifacts using <strong>reverse</strong> <strong>engineering</strong>. A<br />

methodology is presented where tolerancing is explicitly modeled by means of a<br />

family of parameterizable tolerancing elements which can be assembled in tolerance<br />

chains. Applications are presented by means of three case studies related to the<br />

manufacturing of complex mechanical assemblies for optical sensor devices.<br />

In Chapter 8, Chang presents a review of shape design <strong>and</strong> parameterization in the<br />

context of shape <strong>reverse</strong> <strong>engineering</strong>. Extracting 3D parameterizable NURBS surfaces<br />

from low-level scanned information, also called auto-surfacing, is an important<br />

modeling tool, as it allows designers to further modify the extracted surfaces on a high<br />

level. Although several auto-surfacing tools <strong>and</strong> techniques exist, not all satisfy the<br />

same requirements <strong>and</strong> up to the same level. The review discusses nine auto-surfacing<br />

tools from the viewpoint of 22 functional <strong>and</strong> non-functional requirements, <strong>and</strong><br />

presents detailed evaluations of four such tools in real-world case studies involving<br />

auto-surfacing.<br />

In Chapter 9, Mello et al. present a model for integration of mechanical <strong>reverse</strong><br />

<strong>engineering</strong> (RE) with design for manufacturing <strong>and</strong> assembly (DFMA). Their work is<br />

motivated by the perceived added value in terms of lean development <strong>and</strong><br />

manufacturing for organizations that succeed in combining the two types of activities.<br />

Using action research, they investigate the use of integrated RE <strong>and</strong> DFMA in two<br />

companies involved in manufacturing home fixture assemblies <strong>and</strong> machine<br />

measuring instruments respectively. Their detailed studies show concrete examples of

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