Thermo-electric measurement of cutting tool temperature

1925 ◽  
Vol 200 (2) ◽  
pp. 274
Author(s):  
G.F.S.
1967 ◽  
Vol 7 (4) ◽  
pp. 465-475 ◽  
Author(s):  
J.R. Jaeschke ◽  
R.D. Zimmerly ◽  
S.M. Wu

2018 ◽  
Vol 225 ◽  
pp. 57-61 ◽  
Author(s):  
P. Maneesha ◽  
Anju Paulson ◽  
N.A. Muhammed Sabeer ◽  
P.P. Pradyumnan

Procedia CIRP ◽  
2014 ◽  
Vol 17 ◽  
pp. 750-754 ◽  
Author(s):  
Salman Pervaiz ◽  
Ibrahim Deiab ◽  
Essam Moustafa Wahba ◽  
Amir Rashid ◽  
Mihai Nicolescu

1964 ◽  
Vol 86 (4) ◽  
pp. 395-400 ◽  
Author(s):  
S. M. Wu ◽  
R. N. Meyer

A simple first-order five-variable cutting-tool temperature predicting equation is developed by a 25−1 fractional factorial design. Only 16 testing conditions are used in the experiment. Confirmatory tests indicate the adequacy of the first-order predicting equation. These tests also tend to confirm the physical property of chip equivalent whereby the same temperature is obtained for a constant chip equivalent at a given cutting speed.


2003 ◽  
Vol 125 (4) ◽  
pp. 667-673 ◽  
Author(s):  
Mark R. Miller ◽  
George Mulholland ◽  
Charles Anderson

High temperatures in machining cutting zones activate wear mechanisms that decrease tool life and increase production costs and yet this phenomenon is not fully understood nor characterized. Although experimental work has been performed, the techniques used have generally been difficult to apply, and lacked sufficient resolution and or acceptable accuracy. Theoretical predictions and computational simulations have been performed to gain further insight into this problem but could not be accurately validated due to the lack of sufficient experimental temperature data. Experimental techniques using modern, digital infrared imaging were developed and successfully applied during this study to gather cutting tool temperature distributions from orthogonal machining operations. This new process has seemingly overcome many problems associated with past experimental techniques.


2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Thorsten Helmig ◽  
Bingxiao Peng ◽  
Claas Ehrenpreis ◽  
Thorsten Augspurger ◽  
Yona Frekers ◽  
...  

In metal cutting processes, the use of cutting fluids shows significant effects on workpiece surface quality by reducing thermomechanical loads on cutting tool and workpiece. Many efforts are made to model these thermomechanical processes, however without considering detailed heat transfer between cutting fluid, tool, and workpiece. To account for heat transfer effects, a coupling approach is developed, which combines computational fluid dynamics (CFD) and finite element method (FEM) chip formation simulation. Prior to the simulation, experimental investigations in orthogonal cutting in dry and wet cutting conditions with two different workpiece materials (AISI 1045 and DA 718) are conducted. To measure the tool temperature in dry as well as in wet cutting conditions, a two color pyrometer is placed inside an electrical discharge machining (EDM) drilled cutting tool hole. Besides tool temperature, the cutting force is recorded during the experiments and later used to calculate heat source terms for the CFD simulation. After the experiments, FEM chip formation simulations are performed and provide the chip forms for the CFD mesh generation. In general, CFD simulation and experiment are in reasonable agreement, as for each workpiece setup the measured temperature data are located between the simulation results from the two different tool geometries. Furthermore, numerical and experimental results both show a decrease of tool temperature in wet cutting conditions, however revealing a more significant cooling effect in a AISI 1045 workpiece setup. The results suggest that the placement of drilling holes has a major influence on the local tool temperature distribution, as the drilling hole equals a thermal resistance and hence leads to elevated temperatures at the tool front.


Sign in / Sign up

Export Citation Format

Share Document