reverse engineering – recent advances and applications - OpenLibra

More documents

Recommendations

Info

XII Preface the geometry and topology of complex shapes from low-level unorganized 3D scanning data, such as point clouds, are presented. The focus here is on robust extraction of shape information with guaranteed quality properties from such 3D scans, and also on the efficient computation of such shapes from raw scans involving millions of sample points. Secondly, methods and techniques are presented which help the process of manufacturing 3D shapes from information which is reverse engineered from previously manufactured shapes. Here, the focus is on guaranteeing required quality and cost related metrics throughout the entire mechanical manufacturing process. In Chapter 6, Keller et al. present a multiresolution method for the extraction of accurate 3D surfaces from unorganized point clouds. Attractive aspects of the method are its simplicity of implementation, ability to capture the shape of complex surface structures with guaranteed connectivity properties, and scalability to real-world point clouds of millions of samples. The method is demonstrated for surface reconstruction of detail object scans as well as for spatially large point clouds obtained from environmental LiDaR scans. In Chapter 7, Kaisarlis presents a systematic approach for geometric and dimensional tolerancing in reverse engineering mechanical parts. Tolerancing is a vital component of the accurate manufacturing process of such parts, both in terms of capturing such variability in a physical model and in terms of extracting tolerancing-related information from existing models and design artifacts using reverse engineering. A methodology is presented where tolerancing is explicitly modeled by means of a family of parameterizable tolerancing elements which can be assembled in tolerance chains. Applications are presented by means of three case studies related to the manufacturing of complex mechanical assemblies for optical sensor devices. In Chapter 8, Chang presents a review of shape design and parameterization in the context of shape reverse engineering. Extracting 3D parameterizable NURBS surfaces from low-level scanned information, also called auto-surfacing, is an important modeling tool, as it allows designers to further modify the extracted surfaces on a high level. Although several auto-surfacing tools and techniques exist, not all satisfy the same requirements and up to the same level. The review discusses nine auto-surfacing tools from the viewpoint of 22 functional and non-functional requirements, and presents detailed evaluations of four such tools in real-world case studies involving auto-surfacing. In Chapter 9, Mello et al. present a model for integration of mechanical reverse engineering (RE) with design for manufacturing and assembly (DFMA). Their work is motivated by the perceived added value in terms of lean development and manufacturing for organizations that succeed in combining the two types of activities. Using action research, they investigate the use of integrated RE and DFMA in two companies involved in manufacturing home fixture assemblies and machine measuring instruments respectively. Their detailed studies show concrete examples of
Preface XIII the step-by-step application of integrated RE and DFMA and highlight the possible cost savings and related challenges. Part 3: Reverse Engineering in Medical and Life Sciences In part 3, our focus changes from industrial artifacts to artifacts related to medical and life sciences. Use-cases in this context relate mainly to the increased amounts of data acquired from such application domains which can support more detailed and/or accurate modeling and understanding of medical and biological phenomena. As such, reverse engineering has here a different flavor than in the first two parts of the book: Rather than recovering information lost during an earlier design process, the aim is to extract new information on natural processes in order to best understand the dynamics of such processes. In Chapter 10, Yuji et al. present a method to reverse engineer the structure and dynamics of gene regulatory networks (GRNs). High amounts of gene-related data are available from various information sources, e.g. gene expression experoments, molecular interaction, and gene ontology databases. The challenges is how to find relationships between transcription factors and their potential target genes, given that one has to deal with noisy datasets containing tens of thousands of genes that act according to different temporal and spatial patterns, strongly interact among each others, and exhibit subsampling. A computational data mining framework is presented which integrates all above-mentioned information sources, and uses genetic algorithms based on particle swarm optimization techniques to find relationships of interest. Results are presented on two different cell datasets. In Chapter 11, Mayo et al. present a reverse engineering activity that aims to create a predictive model of the dynamics of gas transfer (oxygen uptake) in mammalian lungs. The solution involves a combination of geometric modeling of the mammalian lung coarse-scale structure (lung airways), mathematical modeling of the gas transport equations, and an efficient way to solve the emerging system of diffusion-reaction equations by several modeling and numerical approximations. The proposed model is next validated in terms of predictive power by comparing its results with actual experimental measurements. All in all, the reverse engineering of the complex respiratory physical process can be used as an addition or replacement to more costly measuring experiments. In Chapter 12, Cernescu et al. present a reverse engineering application in the context of dental engineering. The aim is to efficiently and effectively assess the mechanical quality of manufactured complete dentures in terms of their behavior to mechanical stresses e.g. detect areas likely to underperform or crack in normal operation mode. The reverse engineering pipeline presented covers the steps of 3D model acquisition by means of scanning and surface reconstruction, creation of a finite element mesh suitable for numerical simulations, and the actual computation of stress and strain factors in presence of induced model defects.
Page 1 and 2: REVERSE ENGINEERING - RECENT ADVANC
Page 5 and 6: Contents Preface IX Part 1 Software
Page 9 and 10: Preface Introduction In the recent
Page 11: Preface XI and con’s related to t
Page 17: Part 1 Software Reverse Engineering
Page 20 and 21: 4 Reverse Engineering - Recent Adva
Page 26 and 27: 10 Reverse Engineering - Recent Adv
Page 62 and 63:
46 Reverse Engineering - Recent Adv
Page 64 and 65:
Page 66 and 67:
Page 68 and 69:
Page 70 and 71:
Page 72 and 73:
Page 74 and 75:
58 2. Model driven architecture: An
Page 76 and 77:
Page 78 and 79:
62 Fig. 1. Model, metamodels and tr
Page 80 and 81:
Page 82 and 83:
Page 84 and 85:
Page 86 and 87:
Page 88 and 89:
Page 90 and 91:
Page 92 and 93:
Page 94 and 95:
Page 96 and 97:
Page 98 and 99:
Page 100 and 101:
Page 102 and 103:
Page 104 and 105:
Page 106 and 107:
Page 108 and 109:
Page 110 and 111:
Page 112 and 113:
Page 114 and 115:
Page 116 and 117:
100 Reverse Engineering - Recent Ad
Page 118 and 119:
Page 120 and 121:
Page 122 and 123:
Page 124 and 125:
108 Table 1. Number of smoothers an
Page 126 and 127:
Page 128 and 129:
Page 130 and 131:
Page 133 and 134:
1. Introduction 60 Surface Reconstr
Page 135 and 136:
Surface Reconstruction from Unorgan
Page 137 and 138:
Page 139 and 140:
Page 141 and 142:
Page 143 and 144:
Page 145 and 146:
Page 147 and 148:
Page 149 and 150:
1. Introduction A Systematic Approa
Page 151 and 152:
A Systematic Approach for Geometric
Page 153 and 154:
Page 155 and 156:
Page 157 and 158:
Page 159 and 160:
Page 161 and 162:
Page 163 and 164:
Page 165 and 166:
Page 167 and 168:
Page 169 and 170:
Page 171 and 172:
Page 173 and 174:
Page 175 and 176:
Page 177 and 178:
A Review on Shape Engineering and D
Page 179 and 180:
Page 181 and 182:
Page 183 and 184:
Page 185 and 186:
Page 187 and 188:
Page 189 and 190:
Page 191 and 192:
Page 193 and 194:
Page 195 and 196:
Page 197 and 198:
Page 199 and 200:
Page 201 and 202:
Page 203 and 204:
Integrating Reverse Engineering and
Page 205 and 206:
Page 207 and 208:
Page 209 and 210:
Page 211 and 212:
Page 213 and 214:
Page 215 and 216:
Page 217 and 218:
Page 219 and 220:
Page 221 and 222:
Page 223 and 224:
Page 225 and 226:
Page 227 and 228:
Page 229 and 230:
Page 231:
Part 3 Reverse Engineering in Medic
Page 234 and 235:
Page 236 and 237:
Page 238 and 239:
Page 240 and 241:
Page 242 and 243:
Page 244 and 245:
Page 246 and 247:
Page 248 and 249:
Page 250 and 251:
Page 252 and 253:
Page 254 and 255:
238 5. Summary and discussions Reve
Page 256 and 257:
Page 258 and 259:
Page 260 and 261:
Page 262 and 263:
Page 264 and 265:
Page 266 and 267:
Page 268 and 269:
Page 270 and 271:
Page 272 and 273:
Page 274 and 275:
Page 276 and 277:
Page 278 and 279:
Page 280 and 281:
Page 282 and 283:
Page 284 and 285:
268 Fig. 6. A closed polygon mesh r
Page 286 and 287:
Page 288 and 289:
272 3. Results Reverse Engineering
Page 290 and 291:
Page 292:
show all

reverse engineering – recent advances and applications - OpenLibra

Create successful ePaper yourself

Delete template?

Save as template?