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Temperature assessment when milling AISI D2 cold work die steel using tool-chip thermocouple, implanted thermocouple and finite element simulation
•A wireless data acquisition system was developed to measure milling temperature.•Tool-chip and implanted thermocouple techniques were used together with FEM.•The influence of cutting parameters on temperature depends on the selected method.•Cutting direction does not statistically affect milling te...
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Published in: | Applied thermal engineering 2018-10, Vol.143, p.532-541 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •A wireless data acquisition system was developed to measure milling temperature.•Tool-chip and implanted thermocouple techniques were used together with FEM.•The influence of cutting parameters on temperature depends on the selected method.•Cutting direction does not statistically affect milling temperature.•Determination of friction coefficient is critical to the success of FE simulation.
Due to the cyclic mechanical and thermal loads imposed to the cutting tool during milling, the study of the process temperature is of utmost importance for the better understanding of various associated phenomena, such as tool life and wear mechanisms, cutting forces behavior and workpiece subsurface metallurgical alterations. Nevertheless, temperature measurement during milling operations imposes a number of restraints to experimental methods, mostly related to the cutter rotational speed, variable chip thickness and intermittent action of the cutting edges. The principal goal of this work is to perform a comparative study of the cutting temperature during in end milling using implanted and tool-chip thermocouple methods under distinct operating parameters. Additionally, finite element simulation is employed to correlate the results provided by the experimental techniques. Tool-chip thermocouple and implanted thermocouple experimental methods were used in addition to three dimensional finite element simulation. The findings indicated that the developed system is capable to cope with the drawbacks associated with intermittent machining operations and to provide reliable temperature values for both experimental methods. Milling temperature increased with cutting speed, feed per tooth and both axial and radial depths of cut, however, the relevance of each factor varied in accordance with the measurement method. The average cutting temperature was not statistically affected by cutting direction and the experimental determination of the friction coefficient between tool and workpiece was critical to the accurate temperature determination using three dimensional numerical simulation. |
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ISSN: | 1359-4311 1873-5606 |
DOI: | 10.1016/j.applthermaleng.2018.07.107 |