Theses and Dissertations
Date of Award
12-2016
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mechanical Engineering
First Advisor
Dr. Constantine Tarawneh
Second Advisor
Dr. Stephen Crown
Third Advisor
Dr. Robert Jones
Abstract
Determination of the load carried by each bearing in a railcar system is crucial to the integrity of the railroad industry. With accurate load measurement, the process of filling a railcar with its specified cargo can be optimized to provide the maximum amount of cargo without exceeding the upper weight limits imposed by the Associations of American Railroads (AAR). An accurate load measurement will additionally make it possible to identify any load imbalance that occurs during periods of travel which result in having a detrimental effect on the health of the bearing. Previous work conducted with a strain-gauge load sensor suspended between a thermoplastic polyurethane steering pad and a bearing adapter provided data that was accurate for dynamic rail conditions. This thesis will optimize the previous work performed by developing a multivariate calibration procedure suitable for field implementation.
Recommended Citation
Blackwell, Dylan Michael, "Multivariate calibration of a load sensor for dynamic and static freight railcar applications" (2016). Theses and Dissertations. 126.
https://scholarworks.utrgv.edu/etd/126
Comments
Copyright 2016 Dylan Michael Blackwell. All Rights Reserved.
https://www.proquest.com/dissertations-theses/multivariate-calibration-load-sensor-dynamic/docview/1878203309/se-2?accountid=7119