Intelligent fastening with A-BOLT™ technology and sensor networks

Guru, Siddeswara Mayura, Fernando, Saman, Halgamuge, Saman and Chan, Kenneth (2004) Intelligent fastening with A-BOLT™ technology and sensor networks. Assembly Automation, 24 4: 386-393. doi:10.1108/01445150410562598

Author Guru, Siddeswara Mayura
Fernando, Saman
Halgamuge, Saman
Chan, Kenneth
Title Intelligent fastening with A-BOLT™ technology and sensor networks
Journal name Assembly Automation   Check publisher's open access policy
ISSN 0144-5154
Publication date 2004
Sub-type Article (original research)
DOI 10.1108/01445150410562598
Volume 24
Issue 4
Start page 386
End page 393
Total pages 8
Place of publication Bingley, W. Yorks., United Kingdom
Publisher Emerald Group Publishing
Language eng
Abstract Threaded fasteners appear to be the best low cost option for applying a desired clamp load to assemble a joint, which can be disassembled, if necessary, at a low cost. A large number of joint failures are due to inadequate tension on the joint. Most conventional tightening methods only provide a vague indication of the bolt tension. In this paper we will discuss the development of the A-BOLT™ system, which can measure the tension in the mechanical bolt to ±1 per cent accuracy of the proof load. The key element of the system is a specially designed mechanical bolt with a top-mounted sensor to measure the bolt elongation. We will also describe the development of different generations of the A-BOLT™ system and its industrial applications. Finally we will present an overview of research on the cluster based networking of wireless sensors to minimize energy consumption in a network of sensors.
Keyword Fasteners
Force measurement
Programming and algorithm theory
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Agriculture and Food Sciences
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 7 times in Scopus Article | Citations
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Created: Tue, 22 Mar 2011, 23:01:23 EST by Dr Chon-Kit Kenneth Chan on behalf of School of Agriculture and Food Sciences