Development of a monitoring system for guided circular saws: an experimental investigation. Issue 2 (4th March 2019)

• Record Type: Journal Article
• Authors: Mohammadpanah, Ahmad; Lehmann, Bruce; White, John
• Is Part Of: Wood material science & engineering. Volume 14:Issue 2(2019)
• Page Start: 99
• Page End: 106
• Publication Date: 2019-03-04
• Subjects: Monitoring -- guided circular saw -- acoustic emission -- sound -- temperature sensor; Wood -- Periodicals; Wood products -- Periodicals; Building, Wooden -- Periodicals; 624.184
• DOI: 10.1080/17480272.2017.1415970
• Languages: English
• ISSNs: 1748-0272

Abstract

ABSTRACT: Lack of a monitoring system for guided circular saws marks one of the most critical machines in sawmills as a production bottleneck. Monitoring systems are being researched and developed for machine tools, especially for the metal cutting industry; but there are limited studies on the development of monitoring systems for circular saws in wood manufacturing process. In this study, sensors with the possibility to indicate sawing deviation were chosen that could be mounted in or on the saw guides. The sensors were: a microphone, an accelerometer, temperature sensor, an acoustic emission (AE) sensor, and a newly developed displacement sensor. A load cell was used to measure the lateral force on the guides. The outputs from these sensors were compared to the standard deviation of the board surface measured at the top of the cut. The signals from the displacement sensor, microphone, accelerometer, guide force sensor, and AE senor had no correlation to changes in the sawing deviation as measured by the standard deviation at the top of the board. Under laboratory conditions, the sound level and the AE signal did indicate the beginning and end of the cut. It was found that blade temperature is a good indicator of saw cutting performance. A newly developed temperature sensor can provide accurate temperature of the saw during cutting. The sensor can be used for measuring the rate of heating to cooling over time which can be used as a monitoring system to detect if there is any issue in the system.