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Energy harvesting from raceway strain in rolling element bearings
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0002-7285-6639
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-4133-3317
(English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220Article in journal (Refereed) Submitted
Abstract [en]

This paper presents how strain in rolling element bearings can be utilized to power embedded systems. Mechanical strain can be converted to the electrical domain by using piezoelectric materials; here, we present how piezoelectric patches should be dimensioned and mounted to optimize power output. Previous work has not addressed how repetitive strain in bearings can be used to harvest energy. Simulation data from the SKFtool BEAST are analyzed together with linear piezoelectricity to extract the power output. In the simulated case, results show that piezoelectric patches can be used to power embedded systems and that sensory data can be extracted to monitor the bearings.

Keywords [en]
Rolling element bearing, Energy scavenging, Piezoelectric, IoT
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
URN: urn:nbn:se:ltu:diva-69574OAI: oai:DiVA.org:ltu-69574DiVA, id: diva2:1219053
Available from: 2018-06-15 Created: 2018-06-15 Last updated: 2018-06-15
In thesis
1. Robust energy management for IoT machine elements
Open this publication in new window or tab >>Robust energy management for IoT machine elements
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Advancements in semiconductor technology have reached the point where ambient energy surrounding their environment can power sensors and microprocessors. It enables new strategies for energy management which is necessary to continue the sensorization of our environment. With the vast amount of and the rate at which the number of interconnected devices is increasing, there is a need to power resource-constrained devices through other means than disposable batteries. Harvesting ambient energy from the vicinity of the device is one solution.

SKF, a producer of rolling element bearings, produces approximately one billion bearings per year. A mechanical part that is essential for rotating machinery and that has the potential to measure and monitor vital parts of the machine. A scenario in which bearings are embedded with electronics to monitor process and health parameters that can be analyzed on site and collected to remote locations is a crucial motivator for this thesis.

This thesis presents some of the most common sources of energy used for harvesting energy in rotating environments and discusses how different transduction methods can convert ambient energy into electrical energy. General solutions that robustly apply to many applications are of great interest. The investigated technologies should apply to a dirty and encapsulated industrial environment; therefore, certain energy sources, for example, sunlight and radio frequencies, are omitted. Vibration harvesters are investigated and modeled in SPICE to verify performance gains using a novel circuit for non-linear power extraction for piezoelectric materials. Simulations showed that a weak coupling from the electrical system to the mechanical system would greatly benefit non-linear extraction techniques. Such a weakly coupled system can be created in a bearing. Mechanical load and rotation generate cyclic strain in the bearings raceway; the cyclic strain can be utilized by applying piezoelectric patches to the raceway to power embedded systems and sensory information from the piezoelectric patch can also be used to monitor the bearing. Finally, trends and limits for computation, communication, data acquisition, and energy storage are investigated to evaluate the most robust energy storage solution for future embedded systems, which are powered by an energy harvester.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2018
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
Energy harvesting, Rolling element bearing, Energy Storage
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-69575 (URN)978-91-7790-169-3 (ISBN)978-91-7790-170-9 (ISBN)
Public defence
2018-09-27, D770, University Campus, Porsön, Luleå, 10:00 (English)
Opponent
Supervisors
Available from: 2018-06-18 Created: 2018-06-15 Last updated: 2018-06-18Bibliographically approved

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Häggström, FredrikHultqvist, TobiasDelsing, Jerker

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