Abstract

The issue of the change in tool temperature as a result of the machining process is presented in this paper. The aim of the paper is to put forward a proposal and subsequently to verify the methodology of temperature monitoring in the process of computer numerical control (CNC) machining in real time. Subsequently, the data can be used in the process of adaptive machine-tool control. Experiments were used to determine whether the research method is appropriate. Oak, beech and spruce wood turning blanks with the thickness of 20 mm were machined using a 5-axis CNC machining centre. A temperature change observation resulting from the changes in parameters of the removed layer was used to test whether the research method is relevant. Parameters of the removed layer were affected by the changes in feed rate in the range from 1 ÷ 5 m·min−1 in the removed layer (1–5 mm) or in wood species used in the experiment. As emerges from the proposed methodology, it is possible to monitor the changes in tool temperature responding to minimal changes in technological parameters on a relatively small size of a milled surface quite accurately. Sensitivity to given changes in technological parameters as well as the importance of the methodology was proven.

Highlights

  • Wood processing into a final product is a very complex technological process

  • Vibration can be reduced by a lower feed rate; it affects the quality of machining as well

  • The proposed methods were verified using three basic parameters affecting the process of milling: wood species, thickness of the removed layer and feed rate

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Summary

Introduction

Wood processing into a final product is a very complex technological process. Milling is one of the wood-machining methods. The quality of the milled surface is affected by various factors. They can be defined as the cutting conditions [8,9,10,11,12]. The tool wear is affected by many factors including workpiece material, cutting parameters, geometry and material of the tool, temperature of the tool and cooling methods. All of these parameters influence the tool life [14,15,16]

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