An Intelligent Inspection Planning System for Prismatic Parts on CMMs
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Beschreibung
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 relatingto high-tech industries and advanced, non-conventional processes.
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.
Examines a comprehensive inspection planning model for metrologically complex prismatic parts using AI techniques Enables readers to automatically generate measurement protocol for prismatic parts Describes the state-of-the-art in the field in a coherent, practice-oriented manner
Autor*in
Slavenko M. Stojadinović
Themen in »An Intelligent Inspection Planning System for Prismatic Parts on CMMs«
Coordinate Measuring Machine Dimensional Metrology Coordinate Metrology Engineering Ontology Ant Colony Optimization Prismatic Measurement Parts Genetic Algorithm Feature-based Inspection System