Ciencias Exactas y Ciencias de la Salud

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Mechatronic design of a fast-non-contact measurement system for inspection of castings parts in production line
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2019-05-11) Guamán-Lozada, Darío F.; Ahuett-Garza, Horacio; Kurfess, Thomas R.; Urbina Coronado, Pedro Daniel; Orta Castañon, Pedro
Product recalls for suppliers (Tier 1-2-3) and OEM represents high financial losses and reputation damage. This has motivated manufacturers to inspect 100% of the specifications of 100% parts produced to avoid liability risks. In general, the manufactured parts are measured in CMM machines, the main problem is that it takes a long time to make the measurement. Therefore, CMM machines cannot be installed in a continuous line process. This problem has led industries to install gauging machines to have full control over their production. Gauging machines are not flexible, a number of sensors equal to the number of targets to be inspected is needed, complicating the maintenance and increasing the cost. Finally, most gauges are of the go-no go type, which only validates whether the characteristics comply with a standard. In addition, due to the arrival of the concept of industry 4.0, companies have seen the need to develop fast, reliable and accurate inspection machines capable of sending proper information about themselves or the product to the cloud. This work presents a new measurement system for an In-Line die-casting process. The main characteristic is the use of a linear motor and non-contact measurement technology for fast and reliable measurements. Also, the machine uses a novel kinematics coupling configuration to allow easy, fast, and accurate positioning of the part in the measurements area. To be compatible with Industry 4.0 the inspection machine is equipped with sensors to send process information to the cloud like operation temperature, vibrations, and dynamic machine behavior.
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.

Ciencias Exactas y Ciencias de la Salud

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