An Intelligent Inspection Planning System for Prismatic Parts on CMMs (eBook)
XV, 139 Seiten
Springer International Publishing (Verlag)
978-3-030-12807-4 (ISBN)
This book examines an intelligent system for the inspection planning of prismatic parts on coordinate measuring machines (CMMs). The content focuses on four main elements: the engineering ontology, the model of inspection planning for prismatic parts on CMMs, the optimisation model of the measuring path based on an ant-colony approach, and the model of probe configuration and setup planning based on a genetic algorithm. The model of inspection planning for CMMs developed here addresses inspection feature construction, the sampling strategy, probe accessibility analysis, automated collision-free operation, and probe path planning. The proposed model offers a novel approach to intelligent inspection, while also minimizing human involvement (and thus the risk of human error) through intelligent planning of the probe configuration and part setup. The advantages of this approach include: reduced preparation times due to the automatic generation of a measuring protocol; potential optimisation of the measuring probe path, i.e., less time needed for the actual measurement; and increased planning process autonomy through minimal human involvement in the setup analysis and probe configuration.
Preface 5
Contents 6
List of Figures 9
List of Tables 12
1 Introduction and Review of Inspection Planning Methods 13
Abstract 13
1.1 Introduction Remarks 13
1.2 Review of Inspection Planning Methods 20
1.2.1 Model of a CMM-Based Measuring System 21
1.2.2 A Brief Review of CMMs Development 21
1.2.2.1 Software Systems for CMM 23
1.2.3 Development of Inspection Planning on a CMM 24
1.2.4 Metrological Interoperability 30
1.2.4.1 Problem of Metrological Interoperability 30
1.2.4.2 Project Team for Metrological Interoperability 32
1.3 Formulation of the Research Problem 35
References 38
2 Ontological Knowledge Base for Integrating Geometry and Tolerance of PMPs 44
Abstract 44
2.1 Introduction 44
2.2 Engineering Ontology Development for the Domain of Inspection Planning in Coordinate Metrology 45
2.2.1 Methodologies for EO Development—General Case 45
2.2.2 A Comparison of Traditional and New Approaches 47
2.2.3 Proposed Method of EO Development 48
2.2.4 An Example of Method Implementation on the 3D CAD Model of Measuring Part 52
2.2.5 The Implementation in Software Protégé 53
2.3 Development of a Knowledge Base for the PMPs Inspection Planning on a CMM 54
2.3.1 Knowledge Base Model 55
2.3.2 An Experimental Example 56
2.4 Concluding Remarks 63
References 64
3 The Model for Inspection Planning of PMPs on a CMM 66
Abstract 66
3.1 Introduction 66
3.2 The Mathematical Model for Inspection Planning of PMPs on CMM 69
3.2.1 Inspection Feature Construction 71
3.2.2 Sampling Strategy 74
3.2.3 Probe Accessibility Analysis 78
3.3 Automated Collision-Free Generation 81
3.4 Probe Path Planning 84
References 85
4 The Model of Probe Configuration and Setup Planning for Inspection of PMPs Based on GA 86
Abstract 86
4.1 Introduction 86
4.2 PMPs Setup Model 87
4.2.1 Mathematical Model of PMPs Setup 88
4.2.1.1 Geometric and Metrological Features in the Context of PMPs Setup 89
4.2.1.2 Approach Directions for PMPs 89
4.3 Probe Configuration Model for PMPs 93
4.3.1 Probe Star 93
4.3.2 Probe Head 96
4.4 GA Model 100
4.4.1 Initial Population 101
4.4.2 Fitness Function 102
4.4.3 Selection, Crossover and Mutation 102
4.4.4 Conclusion Remarks 103
References 103
5 Ant Colony Optimisation of the Measuring Path of PMPs on a CMM 105
Abstract 105
5.1 Introduction 105
5.2 Data Model 107
5.2.1 Inspection Feature Construction Data Model (IFC) 108
5.2.2 Workpiece Data Model and Processing 109
5.2.3 Online Programmed Measuring Path on a CMM 110
5.2.4 Software Programmed Measuring Path in Pro/ENGINEER® 111
5.3 Collision Zones 112
5.4 ACO Model 114
5.4.1 Travelling Salesman Problem (TSP) 116
5.4.1.1 ACO Algorithm for TSP 116
5.4.1.2 Tour Construction 117
5.4.1.3 Update of Pheromone Trails 118
5.5 Optimisation Results 118
5.6 Concluding Remarks 121
References 122
6 Experiment, Results and Concluding Remarks 124
Abstract 124
6.1 Measuring Probe Path Simulation 124
6.1.1 Algorithm for Measurement Point Distribution (AMPD) 125
6.1.2 Algorithm for Collision Avoidance (ACA) 128
6.1.3 Algorithm for Probe Path Planning (APPP) 130
6.1.4 Generation of the Measuring Protocol and Control Data List 130
6.1.5 Experimental Setup 130
6.1.6 Design of Prismatic Parts 131
6.1.7 Calibration of CMM According to Standard ISO 10360-2 132
6.1.8 Inspection Plan for Prismatic Parts 134
6.2 Inspection of Prismatic Parts 136
6.3 Measurement Results 141
6.4 Concluding Remarks 144
References 148
| Erscheint lt. Verlag | 9.2.2019 |
|---|---|
| Zusatzinfo | XV, 139 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Maschinenbau | |
| Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion | |
| Schlagworte | ant colony optimization • coordinate measuring machine • Coordinate Metrology • Dimensional Metrology • Engineering Ontology • Feature-based Inspection System • Genetic Algorithm • Prismatic Measurement Parts |
| ISBN-10 | 3-030-12807-5 / 3030128075 |
| ISBN-13 | 978-3-030-12807-4 / 9783030128074 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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