Ciencias Exactas y Ciencias de la Salud

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Design of the technological infrastructure for data acquisition of an in-line measuring Industry 4.0 compatible machine
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-05-11) Castro Martín, Ana Pamela; Ahuett-Garza, Horacio; Kurfess, Thomas R.; Urbina Coronado, Pedro Daniel; Orta Castañon, Pedro
Industry trends call for a change and adaptation of systems to be capable of connecting with their surroundings such as other machines, computers or smartphones. The automotive industry is continuously looking for improving its processes. An objective of the automotive industry is to start implementing new trends in industry 4.0. The present work develops a technological infrastructure for data acquisition of an in-line measurement system that is being used by a manufacturer of automotive parts. The measurement system inspects the quality of die-casting parts. In this work, the theoretical concept of Industry 4.0 is implemented in an industrial machine. This work deals with the design of a monitoring system for big data in two levels. First to monitor the quality of the workpieces, and second to monitor the online measuring machine. An architecture for IoT is implemented in the development of the monitoring system, and three subsystems: Collecting Subsystem, Processing and Transmission Subsystem; and Management and Utilization Subsystem. After building the architecture proposed, data is accessible by engineering staff for analyzing and operating conditions are available for study. The architecture for connecting the machine to the Internet was successfully implemented on the measuring machine. Industry trends call for a change and adaptation of systems to be capable of connecting with their surroundings such as other machines, computers or smartphones. The automotive industry is continuously looking for improving its processes. An objective of the automotive industry is to start implementing new trends in industry 4.0. The present work develops a technological infrastructure for data acquisition of an in-line measurement system that is being used by a manufacturer of automotive parts. The measurement system inspects the quality of die-casting parts. In this work, the theoretical concept of Industry 4.0 is implemented in an industrial machine. This work deals with the design of a monitoring system for big data in two levels. First to monitor the quality of the workpieces, and second to monitor the online measuring machine. An architecture for IoT is implemented in the development of the monitoring system, and three subsystems: Collecting Subsystem, Processing and Transmission Subsystem; and Management and Utilization Subsystem. After building the architecture proposed, data is accessible by engineering staff for analyzing and operating conditions are available for study. The architecture for connecting the machine to the Internet was successfully implemented on the measuring machine.
Convergence of Industry 4.0 and Regenerative Engineering to boost development of scaffolds created by hybrid additive manufacturing
(2017-12-05) Camargo Camrgo, Belinda; Rodríguez González, Ciro Ángel; Romero Díaz, David Carlos
Industry 4.0 and its underlying technologies, such as Internet of Things (IoT) and Cyber-Physical Systems (CPS), are usually portrayed as a way to enable communication in a workshop between the machinery and an intelligent control system, handle consumer demand for customized products, achieve a near-zero defect manufacturing process, and handle materials, energy consumption, and waste more efficiently, amongst others. Case studies on how the automotive, electronics, or aerospace industry benefit from Industry 4.0 implementation are readily available and surely, there are more to come. By contrast, scaffolds of Regenerative Engineering, are still in Research and Development and yet to be approved as a commercial regenerative procedure. A thorough analysis of the requirements was developed and the product manufacturing phases were modeled using Unified Modeling Language (UML). Business, structure, activity, class, and sequence diagrams, amongst others, are modeled using this standard and an ontology that converges Industry 4.0 technologies applied on Regenerative Engineering is established under the Ontology Web Language Description Logic (OWL-Dl). An architecture to augment a scaffold manufacturing cell with Industry 4.0 technologies is proposed. By using smart sensors, actuators, and the information they generate, a database with material and process variables is populated. This database can then be analyzed by smart algorithms to find the most effective parameters to manufacture a successful scaffold for tissue regeneration. Initial testing shows the feasibility of the proposed architecture and its ability to store relevant information of the produc

Ciencias Exactas y Ciencias de la Salud

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