scholarly journals A Coupled FE and CFD Approach to Predict the Cutting Tool Temperature Profile in Machining

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

Automatic cutting tool temperature control

1967 ◽  
Vol 7 (4) ◽  
pp. 465-475 ◽  
Author(s):  
J.R. Jaeschke ◽  
R.D. Zimmerly ◽  
S.M. Wu
Keyword(s):  
Temperature Control ◽  
Cutting Tool ◽  
Tool Temperature

A First-Order Five-Variable Cutting-Tool Temperature Equation and Chip Equivalent

1964 ◽  
Vol 86 (4) ◽  
pp. 395-400 ◽  
Author(s):  
S. M. Wu ◽  
R. N. Meyer
Keyword(s):  
Cutting Tool ◽  
Fractional Factorial Design ◽  
Cutting Speed ◽  
Physical Property ◽  
Fractional Factorial ◽  
Tool Temperature ◽  
Testing Conditions ◽  
First Order ◽  
Confirmatory Tests ◽  
Temperature Equation

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.

Experimental Cutting Tool Temperature Distributions

2003 ◽  
Vol 125 (4) ◽  
pp. 667-673 ◽  
Author(s):  
Mark R. Miller ◽  
George Mulholland ◽  
Charles Anderson
Keyword(s):  
Cutting Tool ◽  
Infrared Imaging ◽  
Production Costs ◽  
Experimental Techniques ◽  
Tool Temperature ◽  
Orthogonal Machining ◽  
Temperature Distributions ◽  
Theoretical Predictions ◽  
Experimental Cutting ◽  
Machining Operations

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.

A Coupling Approach Combining Computational Fluid Dynamics and Finite Element Method to Predict Cutting Fluid Effects on the Tool Temperature in Cutting Processes

2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Thorsten Helmig ◽  
Bingxiao Peng ◽  
Claas Ehrenpreis ◽  
Thorsten Augspurger ◽  
Yona Frekers ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Cutting Tool ◽  
Cfd Simulation ◽  
Cutting Conditions ◽  
Cutting Fluid ◽  
Tool Temperature ◽  
Aisi 1045 ◽  
Coupling Approach ◽  
Cutting Processes ◽  
Workpiece Setup

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.

Performance Analysis of Cryogenically Treated HSS Profile Cutter by Experimental and FEA

2013 ◽  
Vol 816-817 ◽  
pp. 311-316
Author(s):  
B.R. Ramji ◽  
H.N. Narasimha Murthy ◽  
B.K. Deepak
Keyword(s):  
Performance Analysis ◽  
Temperature Profile ◽  
Tool Life ◽  
Cutting Tool ◽  
Cryogenic Treatment ◽  
Cutting Tools ◽  
Spring Steel ◽  
Machining Conditions ◽  
Double Tempering ◽  
Steel Cutting

The main objective of the research was to study the effect of cryogenic treatment and double tempering on the tool life of HSS profile cutter in machining EN47 Spring Steel cutting tool components. TiAlN coated HSS profile cutters were cryogenically treated at-175 °C and double tempered at 200 °C. Milling exercises were carried out using un-treated and treated and double tempered tools on EN-47 spring steel reamer components at different machining conditions. The treated HSS profile cutter showed 40 % greater tool life than that of the un-treated in machining EN-47 spring steel components for making flutes. FEA for temperature profile of the cutting tools of the treated and non-treated was performed. Tool tip temperature for untreated and treated were found to be 22 °C and 20 °C respectively.

scholarly journals Cutting tool temperature prediction method using analytical model for end milling

2016 ◽  
Vol 29 (6) ◽  
pp. 1788-1794 ◽  
Author(s):  
Wu Baohai ◽  
Cui Di ◽  
He Xiaodong ◽  
Zhang Dinghua ◽  
Tang Kai
Keyword(s):  
Analytical Model ◽  
Cutting Tool ◽  
End Milling ◽  
Prediction Method ◽  
Tool Temperature ◽  
Temperature Prediction
Sign in / Sign up

Export Citation Format

Share Document