Empirical compensation of parasitic bearing friction in chain drive dynamometers

Performance of chain drives is of current interest in mechanical systems and bicycles to maximise the useable power delivered to a driven shaft or axle.Such transmissions incur relatively small losses for large transmitted powers, which presents challenges for high accuracy measurement of these losses.This is especially true where high-fidelity emulation of real-world conditions is necessary.A solution for practical measurement of the performance of a chain drive system in such conditions is a Transmitted Power Measurement (TPM) chain drive dynamometer [1] (Fig. 1).

Authors

Publication Details

Journal
Bristol Research (University of Bristol)
Published
2024-09-04
Primary Topic
Control Systems in Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Empirical compensation of parasitic bearing friction in chain drive dynamometers

Ben Hicks, Stuart C Burgess, Robert Wragge-Morley, George C. Barnaby
Bristol Research (University of Bristol)
Control Systems in Engineering
article

Empirical compensation of parasitic bearing friction in chain drive dynamometers

Ben Hicks, Stuart C Burgess, Robert Wragge-Morley, George C. Barnaby
article en

Abstract

Performance of chain drives is of current interest in mechanical systems and bicycles to maximise the useable power delivered to a driven shaft or axle.Such transmissions incur relatively small losses for large transmitted powers, which presents challenges for high accuracy measurement of these losses.This is especially true where high-fidelity emulation of real-world conditions is necessary.A solution for practical measurement of the performance of a chain drive system in such conditions is a Transmitted Power Measurement (TPM) chain drive dynamometer [1] (Fig. 1).

Bristol Research (University of Bristol)
UK Research and Innovation, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 59%
Control Systems in Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.