2020
DOI: 10.18494/sam.2020.2533
|View full text |Cite
|
Sign up to set email alerts
|

Sleeve-type Torque Sensor Based on Effect of Strain Induction Applied to Wide-blade Drill Rod

Abstract: Keywords: sleeve-type torque sensor, drill rod, linearity, coal mine, effect of strain induction To obtain the dynamic torques exerted at different location points on a wide-blade drill rod, a sleeve-type torque sensor is proposed and designed. Firstly, the relationship model between torque and voltage is built on the basis of a mechanical theory. The sensor is designed on the basis of the effect of strain induction, and its structure is designed according to the structural type of the wide-blade drill rod. Fu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 15 publications
0
1
0
Order By: Relevance
“…The Hi research team proposed the design of a sleeve type torque sensor and established a relationship model between torque and voltage based on mechanical theory. The test results showed that a drill pipe torque sensor can be used to measure torque, thus addressing the issue of drill pipe sticking [11]. Wang et al proposed a fault observer based on resource allocation network neural network prediction for mechanical system fault detection, which utilized a prediction function to predict the sampled values of sensors.…”
Section: Related Workmentioning
confidence: 99%
“…The Hi research team proposed the design of a sleeve type torque sensor and established a relationship model between torque and voltage based on mechanical theory. The test results showed that a drill pipe torque sensor can be used to measure torque, thus addressing the issue of drill pipe sticking [11]. Wang et al proposed a fault observer based on resource allocation network neural network prediction for mechanical system fault detection, which utilized a prediction function to predict the sampled values of sensors.…”
Section: Related Workmentioning
confidence: 99%