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Developing of Inertial-Measurement-Unit-Based Trajectory Reconstruction Algorithm for Studying Pneumatic Conveying

Zibo, Wang (2018) Developing of Inertial-Measurement-Unit-Based Trajectory Reconstruction Algorithm for Studying Pneumatic Conveying. Master's Thesis, University of Pittsburgh. (Unpublished)

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Numerically simulating granular materials’ dynamics during pneumatic conveying is a great challenge for today’s researchers. Existing mathematical models of granular flow have limitations that make it difficult to obtain good agreement between simulations and experimental results. In this thesis, a portable sensor, known as an inertial-measurement-unit (IMU), is used as a new tool to study pneumatic conveying particle dynamics at a relatively low conveying velocity (or dense- phase flow) in horizontal gas-solid two-phase pipe flow. In order to get useful information, an IMU-based trajectory reconstruction algorithm has been developed. The algorithm uses the quaternion method to realize coordinate transfer between local and IMU frames, and an extended Kalman filter to filter the Gaussian white noise. The sensor’s dynamics information, such as global acceleration, is obtained by analysis of IMU data and is available for future research. The IMU- based trajectory reconstruction algorithm is verified by an experiment that imitates the motion of the IMU inside the pipe during pneumatic conveying. The IMU-based trajectory reconstruction algorithm shows accuracy on trajectory reconstruction results. The techniques that have been developed in this work are shown to provide a new inexpensive and straight-forward method with which to study particle dynamics.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Zibo, Wangziw24@pitt.eduziw24
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorWilliam,
Committee MemberJeffrey,
Committee MemberKlinzing,
Date: 20 September 2018
Date Type: Publication
Defense Date: 13 July 2018
Approval Date: 20 September 2018
Submission Date: 15 July 2018
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 108
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Mechanical Engineering
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Pneumatic conveying, IMU, Trajectory reconstruction, Kalman filter
Date Deposited: 20 Sep 2018 20:18
Last Modified: 20 Sep 2018 20:18


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