Sliding table panel saw, Machining parameters, Sound level meter, Ergonomics, Sound emission

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Wood and Paper Science & Technology, Faculty of Natural Resources, University of Tehran, Karaj, Iran

2 Department wood and paper

3 Phd Student, Department of Wood and Paper Science & Technology, Faculty of Natural Resources, University of Tehran, Karaj, Iran

Abstract

Noise pollution is one of the most important physically harmful factors in work environments in developed and developing countries. In this study, the measurement of sound emission in the cutting process of Iranian native woods and the ergonomic evaluation of the use of protective earphones have been investigated. Three wood species of alder, sycamore, and hornbeam with equilibrium moisture of 12% and Folder Remote Cutting Machine was used to evaluate the level of noise pollution in the machining process. Also, a digital sound level meter (Benetech GM1356) was used to evaluate the sound. The results showed that with increasing the specific gravity of wood, the amount of sound emission increased; that the highest frequency of sound was observed in alder wood. The results showed that in general, with increasing parameters such as the number of blade rotations, kerf, blade diameter, feed rate, use of the scoring blade, and increasing the service life of the saw blade, the number of sound emission increases. However, the use of saw blades with more teeth saw blades with expansion slot, and the use of rip fence in the wood cutting process reduced sound emission. Also, the results showed that the use of protective earphones is very useful in noise pollution and reduces the amount of sound emission up to 38 decibels. Based on the findings of this study, it can be concluded that the amount of wood density changes in native species of Iran is one of the main factors in the amount of sound emission and the use of protective earphones reduces possible damage due to noise pollution in the cutting process.

Keywords


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