Characterization of wood dust emission according to some wood species in 3D machining applied with CNC machine

IF 2.4 3区 农林科学 Q1 FORESTRY European Journal of Wood and Wood Products Pub Date : 2025-02-18 DOI:10.1007/s00107-025-02222-2
Evren Osman Çakıroğlu, Kazım Onur Demirarslan, Taner Taşdemir
{"title":"Characterization of wood dust emission according to some wood species in 3D machining applied with CNC machine","authors":"Evren Osman Çakıroğlu,&nbsp;Kazım Onur Demirarslan,&nbsp;Taner Taşdemir","doi":"10.1007/s00107-025-02222-2","DOIUrl":null,"url":null,"abstract":"<div><p>The use of CNC machines for woodworking is becoming increasingly widespread due to advancing technology. In this study, while 3D processing is performed on wood materials using a CNC machine, the aim is to determine wood dust emissions (PM2.5, PM10) according to processing parameters and wood species. Yellow pine, spruce, chestnut, sapelli, and beech are wood species frequently preferred in furniture businesses. Utilizing a CNC machine equipped with 2 mm and 10 mm diameter cutting tools, the wooden material was machined at a spindle speed of 18,000 RPM, a plunge rate of 4000 mm/min, and a cutting speed of 8000 mm/min. For the study, a 3D-modeled motif with curved lines was selected and applied to wooden prisms measuring 30 cm × 30 cm × 30 mm (width, length, thickness).</p><p>In conclusion, Yellow pine, with its high hardness and dense structure, generates significantly more dust than spruce during CNC machining. This result reveals that different wood species exhibit different levels of environmental impact during CNC processing. This underscores the urgent need for appropriate air filtration and emission control systems, particularly for woods that produce high emissions. Fine cutting edges effectively reduce PM2.5 and PM10 concentrations, enhancing workplace air quality. By reducing exposure to wood dust, which is harmful to human health, this study plays a crucial role in addressing this pressing issue and allows for the implementation of suitable arrangements with minimal chip removal for CNC parameters.</p></div>","PeriodicalId":550,"journal":{"name":"European Journal of Wood and Wood Products","volume":"83 2","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00107-025-02222-2.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Wood and Wood Products","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s00107-025-02222-2","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0

Abstract

The use of CNC machines for woodworking is becoming increasingly widespread due to advancing technology. In this study, while 3D processing is performed on wood materials using a CNC machine, the aim is to determine wood dust emissions (PM2.5, PM10) according to processing parameters and wood species. Yellow pine, spruce, chestnut, sapelli, and beech are wood species frequently preferred in furniture businesses. Utilizing a CNC machine equipped with 2 mm and 10 mm diameter cutting tools, the wooden material was machined at a spindle speed of 18,000 RPM, a plunge rate of 4000 mm/min, and a cutting speed of 8000 mm/min. For the study, a 3D-modeled motif with curved lines was selected and applied to wooden prisms measuring 30 cm × 30 cm × 30 mm (width, length, thickness).

In conclusion, Yellow pine, with its high hardness and dense structure, generates significantly more dust than spruce during CNC machining. This result reveals that different wood species exhibit different levels of environmental impact during CNC processing. This underscores the urgent need for appropriate air filtration and emission control systems, particularly for woods that produce high emissions. Fine cutting edges effectively reduce PM2.5 and PM10 concentrations, enhancing workplace air quality. By reducing exposure to wood dust, which is harmful to human health, this study plays a crucial role in addressing this pressing issue and allows for the implementation of suitable arrangements with minimal chip removal for CNC parameters.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
European Journal of Wood and Wood Products
European Journal of Wood and Wood Products 工程技术-材料科学:纸与木材
CiteScore
5.40
自引率
3.80%
发文量
124
审稿时长
6.0 months
期刊介绍: European Journal of Wood and Wood Products reports on original research and new developments in the field of wood and wood products and their biological, chemical, physical as well as mechanical and technological properties, processes and uses. Subjects range from roundwood to wood based products, composite materials and structural applications, with related jointing techniques. Moreover, it deals with wood as a chemical raw material, source of energy as well as with inter-disciplinary aspects of environmental assessment and international markets. European Journal of Wood and Wood Products aims at promoting international scientific communication and transfer of new technologies from research into practice.
期刊最新文献
Prediction of milling performance of thermally modified wood based on machine learning Physical and mechanical properties of wood treated with chitosan-caffeine formulations Focus on hydrochars produced from hydrothermal liquefaction of beech wood, soda lignin and black liquor Long-term hygrothermal performance assessment of on-site wood-framed walls based on sensor monitoring and machine learning Influence of borate chemical treatment on adhesive bond performance of Douglas fir and grand fir laminates
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1