Browsing by Keyword "3D scanning"
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Item Intelligent, sustainable and integrated system of management of structures(International Association for Bridge and Structural Engineering (IABSE), 2019) Royes, Miquel Morata; Gil, Lívia Garcia; Caldentey, Alejandro Pérez; Vila, Javier Gimenez; Lasso, Abel Capelastegui; Navascues, Óscar Muñoz; Infraestructuras y Edificios; SMART_MONIn Spain, the national road network comprises over 17.000 bridges and viaducts, besides those managed by local and regional administrations. Many of these structures are very old; however, it was not until the 90s of the XX century that maintenance awareness rose among the society. Inspections are currently carried out visually, on a manual basis, implying low effectiveness and high costs. To tackle these issues the SISGES project was conceived and aimed at developing a smart management system capable of making rational decisions regarding the maintenance and repair of existing structures. The methodology that has been followed to achieve this goal is to study the current available technologies, develop a data management structure, develop a monitoring system for each structure, create a structural model while considering interoperability with BIM and finally, develop a management application/software to be used for both technical profile users and general managers. The SISGES platform comprises remote inspection technology, which reduces the inspection times and costs while increasing workers’ safety; continuous monitoring technologies, registering displacements, vibrations, temperature and humidity; scanning technologies to create three-dimensional models of the structures and BIM technologies to assign each element with an attribute. Overall, this makes an innovative and integrated infrastructure management system in line with available technologies and capabilities while maximizing the efficiency of inspection and monitoring for current and future bridges and viaducts.Item Towards Zero-Defect Manufacturing Based on Artificial Intelligence through the Correlation of Forces in 5-Axis Milling Process(2024-04) Cascón-Morán, Itxaso; Gómez, Meritxell; Fernández, David; Gil Del Val, Alain; Alberdi, Nerea; González, Haizea; ROBOTICA_FLEXZero-Defect Manufacturing (ZDM) is a promising strategy for reducing errors in industrial processes, aligned with Industry 4.0 and digitalization, aiming to carry out processes correctly the first time. ZDM relies on digital tools, notably Artificial Intelligence (AI), to predict and prevent issues at both product and process levels. This study’s goal is to significantly reduce errors in machining large parts. It utilizes data from process models and in situ monitoring for AI-driven predictions. AI algorithms anticipate part deformation based on manufacturing data. Mechanistic models simulate milling processes, calculating tool deflection from cutting forces and assessing geometric and dimensional errors. Process monitoring provides real-time data to the models during execution. The research focuses on a high-value component from the oil and gas industry, serving as a test piece to predict geometric errors in machining based on the deviation of cutting forces using AI techniques. Specifically, an AISI 1095 steel forged flange, intentionally misaligned to introduce error, undergoes multiple milling operations, including 3-axis roughing and 5-axis finishing, with 3D scans after each stage to monitor progress and deviations. The work concludes that Support Vector Machine algorithms provide accurate results for the estimation of geometric errors from the machining forces.Item La Visión artificial en el control de calidad Desarrollo de un escáner láser tridimensional rotative(2009-12) Picón-Ruíz, Artzai; Bereciartua-Pérez, M. Aránzazu; Gutiérrez-Olabarría, José Ángel; Pérez-Larrazabal, José; COMPUTER_VISION; Tecnalia Research & InnovationQuality control of manufactured products is more and more demanding everyday. Machine vision devices are becoming one of the most efficient technologies for a reliable, flexible and fast control of different types of products. In this work, we present the design and the implementation of a novel 3D rotative scanner as well as its implementation in a production line through a robotic cell, allowing cent per cent product online inspection without increasing the production cycle time.