Published In
2024 IEEE Technology and Engineering Management Society (TEMSCON LATAM)
Document Type
Conference Proceeding
Publication Date
2024
Abstract
Nowadays, some laboratories perform elastic properties tests for concrete or rock cores using equipment manufactured 50 years ago. The original data collection procedure uses analog and manual recordings, which can cause inaccuracies in the measurements taken during these trials The process is tedious and updated since each trial's measurement data is recorded manually. In this context, this study systematizes the process and proposes an automated data acquisition and recording system for this type of equipment, followed by a case study presenting a rock compression test.
Rights
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
DOI
10.1109/TEMSCONLATAM61834.2024.10717704
Persistent Identifier
https://archives.pdx.edu/ds/psu/42898
Citation Details
Hernández-Cenzano, C. G., Contreras-Cruz, A., & Ahumada-Tello, E. (2024, July). Automation of productive machinery. Bases for an innovative business model. In 2024 IEEE Technology and Engineering Management Society (TEMSCON LATAM) (pp. 1-6). IEEE.
Included in
Operational Research Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons
Description
This is the accepted for publication version. The definitive record can be found on the publisher site.
https://doi.org/10.1109/TEMSCONLATAM61834.2024.10717704