| List of Figures | p. xxiii |
| List of Tables | p. xxix |
| Contributors | p. xxxi |
| Material Properties and Characterization | p. 1 |
| Structural Properties of Materials | p. 2 |
| Crystalline Structures | p. 2 |
| Non-crystalline (Amorphous) Structures | p. 5 |
| Engineering Material Classification | p. 6 |
| Metals | p. 6 |
| Ceramics and Glass | p. 7 |
| Polymers | p. 7 |
| Composite Materials | p. 8 |
| Mechanical Properties of Materials | p. 9 |
| Uniaxial Tension Test | p. 9 |
| Tensile Modules | p. 10 |
| Engineering Stress | p. 11 |
| Engineering Strain | p. 13 |
| Ductility | p. 14 |
| True Stress and True Strain | p. 14 |
| Toughness Tests | p. 15 |
| Hardness Tests | p. 16 |
| Flexure Tests | p. 16 |
| Creep Test | p. 17 |
| Polymers used in Rapid Prototyping | p. 18 |
| Material Selection | p. 20 |
| Direct and Indirect Data Input Formats | |
| IGES Standard Protocol for Feature Recognition CAD System | p. 25 |
| History and Overview | p. 26 |
| Standard data format | p. 27 |
| Data transfer in CAD/CAM Systems | p. 27 |
| Initial Graphics Exchange Specifications (IGES) | p. 29 |
| Structure of IGES File | p. 30 |
| Start Section | p. 31 |
| Global section | p. 31 |
| Directory entry section (DE) | p. 31 |
| Parameter data section (PD) | p. 32 |
| Terminate section | p. 32 |
| The Feature extraction Methodology | p. 33 |
| Conversion of CAD data files into Object Oriented Data structure | p. 34 |
| Basic IGES entities | p. 34 |
| The Overall object-oriented data structure of the proposed methodology | p. 37 |
| Geometry and topology of B-rep | p. 41 |
| Classification of Edges | p. 41 |
| Classification of loops | p. 42 |
| Definition of the Data Fields of the Proposed Data structure | p. 44 |
| Algorithms for Extracting Geometric Entities from CAD File | p. 44 |
| Algorithm for extracting entries from directory and parameter sections | p. 46 |
| Algorithm for extracting the basic entities of the designed part | p. 47 |
| Extracting Form Features from CAD Files | p. 49 |
| An Example for identifying the concave edge/faces | p. 51 |
| Algorithm for determining the concavity of the edge | p. 51 |
| Algorithms for feature extraction (Production rules) | p. 52 |
| An Illustrative Example | p. 54 |
| Summary | p. 60 |
| The Digital Imaging and Communications in Medicine (DICOM): Description, Structure and Applications | p. 63 |
| Introduction | p. 64 |
| History | p. 64 |
| The scope of current DICOM Standards | p. 67 |
| DICOM structure | p. 67 |
| Entity- Relationship models | p. 68 |
| DICOM components | p. 70 |
| DICOM Format | p. 72 |
| Current applications | p. 75 |
| Use of DICOM in Radiation Treatment Planning | p. 78 |
| Potential use of DICOM as a tool in various Industries | p. 83 |
| Summary | p. 84 |
| Reverse Engineering: A Review & Evaluation of Non-Contact Based Systems | p. 87 |
| Introduction | p. 88 |
| Non-contact reverse engineering Techniques | p. 89 |
| Reverse Engineering Taxonomy | p. 89 |
| Active Technique - Laser Scanning | p. 91 |
| Passive Technique - Three-Dimensional Photogrammetry | p. 94 |
| Medical Imaging | p. 96 |
| Magnetic Resonance Imaging | p. 96 |
| Computed Tomography | p. 98 |
| Ultrasound Scanning | p. 99 |
| Medical Image Data File | p. 99 |
| Three-Dimensional Reconstruction | p. 101 |
| Applications | p. 102 |
| Relationship to rapid prototyping | p. 104 |
| Reverse Engineering: A Review & Evaluation of Contact Based Systems | p. 107 |
| Introduction | p. 108 |
| Need for reverse engineering | p. 108 |
| Contact Based Reverse Engineering Systems | p. 109 |
| Coordinate Measuring Machine (CMM) | p. 110 |
| Types of CMM Configurations | p. 111 |
| Bridge Type | p. 111 |
| Applications | p. 111 |
| Gantry type | p. 112 |
| Applications | p. 113 |
| Cantilever Type | p. 113 |
| Applications | p. 114 |
| Horizontal Arm Type | p. 114 |
| Applications | p. 114 |
| Articulated Arm Type | p. 115 |
| Applications | p. 115 |
| Specifications of Coordinate Measuring machines | p. 116 |
| Control types | p. 116 |
| Mounting options | p. 116 |
| CMM Measurement process | p. 117 |
| Data Collection Procedure for CMM | p. 118 |
| Digitization from the Surface | p. 119 |
| Preprocessing of The Point Clouds | p. 119 |
| Point processing as applied to a Knee Joint | p. 120 |
| Surface fitting | p. 121 |
| Performance Parameters of CMMs | p. 121 |
| Scanning speed | p. 121 |
| CMM probe accuracy | p. 122 |
| CMM Rigid Body Errors | p. 123 |
| CMM Structural Deformations | p. 124 |
| Integration of CMM data into other design and manufacturing System Software | p. 124 |
| Recent advances in CMM technology | p. 125 |
| Reverse Engineering method based on Haptic Volume Removal | p. 125 |
| Nano CMM | p. 127 |
| Methods and Techniques | |
| Virtual Assembly Analysis Enhancing Rapid Prototyping in Collaborative Product Development | p. 133 |
| History and Overview | p. 134 |
| Modern Design and product development | p. 136 |
| Rapid product development | p. 136 |
| Internet-enabled collaboration | p. 137 |
| Inevitable impact on assembly and joining Operations | p. 138 |
| Collaborative Virtual Prototyping and simulation | p. 140 |
| Service-oriented Collaborative Virtual Prototyping and Simulation | p. 140 |
| Virtual Assembly analysis | p. 143 |
| Service-Oriented VAA architecture and Components | p. 144 |
| VAA tool | p. 145 |
| Assembly design formalism and assembly design model generation | p. 146 |
| Assembly analysis model (AsAM) generation | p. 147 |
| Pegasus Service Manager | p. 149 |
| e-Design Brokers | p. 150 |
| Service Providers | p. 150 |
| Implementations | p. 151 |
| Contributions | p. 159 |
| Conclusions | p. 160 |
| Subtractive Rapid Prototyping: Creating a Completely Automated Process for Rapid Machining | p. 165 |
| Background | p. 166 |
| Related Work | p. 168 |
| Assumptions | p. 169 |
| Overview of the CNC-RP Process | p. 170 |
| Approach to setup Planning | p. 174 |
| Approach to Tool Selection | p. 178 |
| Challenges with Rapid Fixturing | p. 180 |
| General System model | p. 184 |
| Example parts using CNC-RP | p. 185 |
| Economics of CNC-RP | p. 189 |
| Limitations and Future Work | p. 192 |
| Summary | p. 194 |
| Selective Inhibition of Sintering | p. 197 |
| Introduction | p. 197 |
| The sis process materials | p. 202 |
| The sis process machine path generation | p. 204 |
| Step 1: slicing algorithm | p. 204 |
| Step 2: machine path generation | p. 206 |
| The SIS process optimization | p. 210 |
| Physical part fabrication | p. 216 |
| Powder waste Reduction | p. 217 |
| Vision for future Research | p. 218 |
| Contour Crafting: A Mega Scale Fabrication Technology | p. 221 |
| Introduction | p. 222 |
| CC Process error analysis | p. 223 |
| CC Applications | p. 226 |
| Ceramic part Fabrications | p. 226 |
| CC machine structure for Ceramics Processing | p. 227 |
| Preparing ceramic Paste | p. 227 |
| Prefabricated Ceramic Parts | p. 228 |
| Fabrication of pre-functional piezoelectric lead zirconate titanate (PZT) ceramic components and thermo-plastic parts | p. 228 |
| Design considerations | p. 230 |
| Experiments | p. 232 |
| Construction Automation | p. 234 |
| Challenges faced by Construction industry Today | p. 235 |
| The current state of automation in construction sites | p. 236 |
| Barriers for construction automation | p. 237 |
| The needs for an innovative construction process | p. 238 |
| CC concrete formwork design | p. 239 |
| Physical properties of CC formwork material | p. 241 |
| CC nozzle geometry | p. 242 |
| Fabrication of vertical concrete formwork | p. 244 |
| Placing fresh concrete | p. 245 |
| Results | p. 247 |
| Extraterrestrial construction | p. 248 |
| Conclusion | p. 249 |
| Economic Analysis | |
| Strategic Justification of Rapid Prototyping Systems | p. 253 |
| Introduction | p. 254 |
| Investment justification factors | p. 256 |
| Strategic and Operational Benefits | p. 256 |
| Cost | p. 257 |
| Systems Characteristics and Factors | p. 258 |
| Inter- and Intra-Firm Adaptability | p. 258 |
| Platform Neutrality and Interoperability | p. 258 |
| Scalability | p. 258 |
| Reliability | p. 258 |
| Ease of Use | p. 259 |
| Customer Support | p. 259 |
| Issues and Models for Evaluation and Justification of RP | p. 259 |
| The Analytical Network Process (ANP) Methodology | p. 260 |
| Step 1: Setting up the Network Decision Hierarchy | p. 261 |
| The Planning Horizon | p. 263 |
| Step 2: Pairwise Comparisons | p. 263 |
| Step 3: Calculate Relative Importance Weights | p. 264 |
| Step 4: Form a Supermatrix | p. 265 |
| Step 5: Arrive at a Converged set of Weights | p. 265 |
| Summary and Discussion | p. 267 |
| Selection of Rapid Manufacturing Technologies under Epistemic Uncertainty | p. 271 |
| Introduction | p. 272 |
| Uncertainty and its representations | p. 273 |
| Selection for rapid manufacturing | p. 277 |
| Illustrative example: direct production of caster wheels | p. 281 |
| Illustrative example: direct production of hearing aid shells | p. 286 |
| Closure | p. 289 |
| Economic Analysis of Rapid Prototyping Systems | p. 293 |
| Introduction | p. 294 |
| Recent Literature on Justification Techniques | p. 295 |
| Analytic Hierarchy Process and Expert Choice | p. 299 |
| Analytical Model to Justify Advanced Manufacturing Technologies | p. 301 |
| Identify the competitive criteria and their measures | p. 302 |
| Structuring the hierarchy | p. 302 |
| Determine the overall weight for each alternative and select the alternative that has the highest weight | p. 303 |
| An Illustrated Example | p. 305 |
| Summary | p. 315 |
| Index | p. 319 |
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