An Intelligent Inspection Planning System for Prismatic Parts on CMMs
Autor Slavenko M. Stojadinović, Vidosav D. Majstorovićen Limba Engleză Paperback – 14 aug 2020
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 620.72 lei 6-8 săpt. | |
Springer International Publishing – 14 aug 2020 | 620.72 lei 6-8 săpt. | |
Hardback (1) | 626.80 lei 6-8 săpt. | |
Springer International Publishing – 20 feb 2019 | 626.80 lei 6-8 săpt. |
Preț: 620.72 lei
Preț vechi: 730.25 lei
-15% Nou
Puncte Express: 931
Preț estimativ în valută:
118.81€ • 124.58$ • 98.17£
118.81€ • 124.58$ • 98.17£
Carte tipărită la comandă
Livrare economică 29 ianuarie-12 februarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783030128098
ISBN-10: 3030128091
Pagini: 139
Ilustrații: XV, 139 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030128091
Pagini: 139
Ilustrații: XV, 139 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- Review of CMM Inspection Planning Methods.- Ontology Knowledge Base for Integration Geometry and Tolerance of PMPs.- The Model for Inspection Planning of PMPs on CMM.- Ants Colony Optimization of The Measuring Path of PMPs on a CMM.- Concluding Remarks and Future Research.
Textul de pe ultima copertă
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.
Caracteristici
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