Prediction of the surface roughness of wood for machining
2017
Stanojevic, Damjan | Mandic, Marija | Danon, Gradimir | Svrzic, Srdjan
The surface quality of solid wood is very important for its effective response in manufacturing processes. The effects of feed rate, cutting depth and rake angle on surface roughness and power consumption were investigated and modeled. Neuro-fuzzy methodology was applied and shown that it could be useful, reliable and an effective tool for modeling the surface roughness of wood. Thus, the results of the present research can be successfully applied in the wood industry to reduce time, energy and high experimental costs.
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书目信息
出版者
Elsevier Ltd
其它主题
Surface roughness; Energy use and consumption
语言
英语
类型
Journal Article; Text
2024-02-27
MODS