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BL
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| Record Number
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861013
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| Main Entry
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Stojadinović, Slavenko M.
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| Title & Author
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An Intelligent Inspection Planning System for Prismatic Parts on CMMs /\ Slavenko M. Stojadinović, Vidosav D. Majstorović.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2019]
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| Page. NO
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1 online resource
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| ISBN
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3030128067
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: 3030128075
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: 3030128083
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: 3030128091
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: 9783030128067
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: 9783030128074
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: 9783030128081
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: 9783030128098
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9783030128067
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Intro; Preface; Contents; List of Figures; List of Tables; 1 Introduction and Review of Inspection Planning Methods; Abstract; 1.1 Introduction Remarks; 1.2 Review of Inspection Planning Methods; 1.2.1 Model of a CMM-Based Measuring System; 1.2.2 A Brief Review of CMMs Development; 1.2.2.1 Software Systems for CMM; 1.2.3 Development of Inspection Planning on a CMM; 1.2.4 Metrological Interoperability; 1.2.4.1 Problem of Metrological Interoperability; 1.2.4.2 Project Team for Metrological Interoperability; 1.3 Formulation of the Research Problem; References
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2 Ontological Knowledge Base for Integrating Geometry and Tolerance of PMPsAbstract; 2.1 Introduction; 2.2 Engineering Ontology Development for the Domain of Inspection Planning in Coordinate Metrology; 2.2.1 Methodologies for EO Development-General Case; 2.2.2 A Comparison of Traditional and New Approaches; 2.2.3 Proposed Method of EO Development; 2.2.4 An Example of Method Implementation on the 3D CAD Model of Measuring Part; 2.2.5 The Implementation in Software Protégé; 2.3 Development of a Knowledge Base for the PMPs Inspection Planning on a CMM; 2.3.1 Knowledge Base Model
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2.3.2 An Experimental Example2.4 Concluding Remarks; References; 3 The Model for Inspection Planning of PMPs on a CMM; Abstract; 3.1 Introduction; 3.2 The Mathematical Model for Inspection Planning of PMPs on CMM; 3.2.1 Inspection Feature Construction; 3.2.2 Sampling Strategy; 3.2.3 Probe Accessibility Analysis; 3.3 Automated Collision-Free Generation; 3.4 Probe Path Planning; References; 4 The Model of Probe Configuration and Setup Planning for Inspection of PMPs Based on GA; Abstract; 4.1 Introduction; 4.2 PMPs Setup Model; 4.2.1 Mathematical Model of PMPs Setup
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4.2.1.1 Geometric and Metrological Features in the Context of PMPs Setup4.2.1.2 Approach Directions for PMPs; 4.3 Probe Configuration Model for PMPs; 4.3.1 Probe Star; 4.3.2 Probe Head; 4.4 GA Model; 4.4.1 Initial Population; 4.4.2 Fitness Function; 4.4.3 Selection, Crossover and Mutation; 4.4.4 Conclusion Remarks; References; 5 Ant Colony Optimisation of the Measuring Path of PMPs on a CMM; Abstract; 5.1 Introduction; 5.2 Data Model; 5.2.1 Inspection Feature Construction Data Model (IFC); 5.2.2 Workpiece Data Model and Processing; 5.2.3 Online Programmed Measuring Path on a CMM
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5.2.4 Software Programmed Measuring Path in Pro/ENGINEER®5.3 Collision Zones; 5.4 ACO Model; 5.4.1 Travelling Salesman Problem (TSP); 5.4.1.1 ACO Algorithm for TSP; 5.4.1.2 Tour Construction; 5.4.1.3 Update of Pheromone Trails; 5.5 Optimisation Results; 5.6 Concluding Remarks; References; 6 Experiment, Results and Concluding Remarks; Abstract; 6.1 Measuring Probe Path Simulation; 6.1.1 Algorithm for Measurement Point Distribution (AMPD); 6.1.2 Algorithm for Collision Avoidance (ACA); 6.1.3 Algorithm for Probe Path Planning (APPP)
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| Abstract
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This book introduces a new generation of metrological systems and their application in a digital quality concept. It discusses the development of an optimal collision-free measuring path based on CAD geometry and tolerances defined in knowledge base and AI techniques such as engineering ontology, ACO and GA. This new approach, combining both geometric and metrological features, allows the following benefits: reduction of a preparation time based on the automatic generation of a measuring protocol; developed mathematical model for the distribution of measuring points and collision avoidance; the optimization of a measuring probe path; the analysis of a part placement based on the accessibility analysis and automatic configuration of measuring probes. The application of this new system is particularly useful in the inspection of complex prismatic parts with a large number of tolerances, in all of type production. The implementation is demonstrated using several case studies relating to high-tech industries and advanced, non-conventional processes.
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| Subject
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Engineering inspection.
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Management information systems.
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Plant maintenance-- Data processing.
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BUSINESS ECONOMICS-- Industrial Management.
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BUSINESS ECONOMICS-- Management Science.
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BUSINESS ECONOMICS-- Management.
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BUSINESS ECONOMICS-- Organizational Behavior.
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Engineering inspection.
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Management information systems.
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Plant maintenance-- Data processing.
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| Dewey Classification
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658.4038
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| LC Classification
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T58.6
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| Added Entry
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Majstorović, Vidosav D.
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