Vibration levels and daily vibration exposure while using different tools in a forest cleaning

Author:

Bačić Marin,Landekić Matija,Šušnjar Marijan,Šporčić Mario,Pandur Zdravko

Abstract

Abstract Forest cleaning, being an operation that requires investment, but the return on investment is due for the next generations, utilizes tools and methods that mostly haven’t been humanized. Harmful vibration is still present in today’s forestry operations, and new tools provide possible reduction of exposure to vibrations. Petrol chainsaw and battery chainsaw (late cleaning) and billhook, machete, and battery shears (early cleaning) were used and observed in this study. Vibration levels were measured and assessed using validated Brüel & Kjær 4447 vibrometer which complies with the ISO 8041:2017 standard. The measurement was performed according to the recommendations of ISO 5349-1:2001 and ISO 5349-2:2001 standards. Vibration exposure was assesed using work sampling method on the obtained video recordings in order to calculate relative shares of different work elements. Results show that hand tools (machete and billhook) are causing the highest vibration levels, while battery shears cause the lowest. Battery chainsaw causes higher vibration levels while cutting, but lower daily vibration exposure than petrol chainsaw. A detailed revision in the classification of tools is needed, considering their ability to produce and transmit harmful vibrations to the operator. Using the current classification, the daily exposure to vibration of workers in early forest cleaning is high above legislative values.

Publisher

Walter de Gruyter GmbH

Subject

Forestry

Reference38 articles.

1. Anić, I., 2007: Uzgajanje šuma I – internal script. Faculty of Forestry and Wood Technology, University of Zagreb, p. 1–97.

2. Araki, S., Honma, T., Aoyama, K., 1976: Peripheral nerve conduction velocities in chainsaw operators. Japanese Journal of Industrial Health, 18:516–520.

3. Axelsson, S-A., 1968: Analysis of Vibration in Power Saws. Studia Forestalia Suecica, 59:1–47.

4. Bačić, M., Landekić, M., Šušnjar, M., Šporčić, M., Pandur, Z., 2019: Movement analysis of a worker in the forest cleaning activities. In: Proceedings of the 52nd International Symposium on Forestry Mechanization: “Exceeding the Vision: Forest Mechanisation of the Future”, Sopron, 6–10 October 2019.

5. Bačić, M., Šušnjar, M., Zečić, Ž., Koren, S., Kolarić, M., Pandur, Z., 2020: Daily vibration exposure in forestry: the difference between manual and motormanual cleaning methods. Sigurnost, 62:265–274.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3