A study of cutting force and preheating-temperature prediction for laser-assisted milling of Inconel 718 and AISI 1045 steel

Author(s):  
Dong-Hyeon Kim ◽  
Choon-Man Lee
2018 ◽  
Vol 207 ◽  
pp. 02002
Author(s):  
Yaoke Wang ◽  
Meng Kou ◽  
Wei Ding ◽  
Huan Ma ◽  
Liangshan Xiong

When applying the non-parallel shear zone model to predict the cutting process parameters of carbon steel workpiece, it is found that there is a big error between the prediction results and the experimental values. And also, the former approach to obtain the relevant cutting parameters of the non-parallel shear zone model by applying coordinate transformation to the parallel shear zone model has a theoretical error – it erroneously regards the determinant (|J|) of the Jacobian matrix (J) in the coordinate transformation as a constant. The shape of the shear zone obtained when |J| is not constant is drew and it is found that the two boundaries of the shear zone are two slightly curved surfaces rather than two inclined planes. Also, the error between predicted values and experimental values of cutting force and cutting thrust is slightly smaller than that of constant |J|. A corrected model where |J| is a variable is proposed. Since the specific values of inclination of the shear zone (α, β), the thickness coefficient of the shear zone (as) and the constants related to the material (f0, p) are not given in the former work, a method to obtain the above-mentioned five constants by solving multivariable constrained optimization problem based on experimental data was also proposed; based on the obtained experimental data of AISI 1045 steel workpiece cutting force, cutting thrust, chip thickness, the results of five above-mentioned model constants are obtained. It is found that, compared with prediction from uncorrected model, the cutting force and cutting thrust of AISI 1045 steel predicted by the corrected model with the obtained constants has a better agreement with the experimental values obtained by Ivester.


Author(s):  
Hongtao Ding ◽  
Yung C. Shin

Materials often behave in a complicated manner involving deeply coupled effects among stress/stain, temperature, and microstructure during a machining process. This paper is concerned with prediction of the phase change effect on orthogonal cutting of American Iron and Steel Institute (AISI) 1045 steel based on a true metallo-thermomechanical coupled analysis. A metallo-thermomechanical coupled material model is developed and a finite element model (FEM) is used to solve the evolution of phase constituents, cutting temperature, chip morphology, and cutting force simultaneously using abaqus. The model validity is assessed using the experimental data for orthogonal cutting of AISI 1045 steel under various conditions, with cutting speeds ranging from 198 to 879 m/min, feeds from 0.1 to 0.3 mm, and tool rake angles from −7 deg to 5 deg. A good agreement is achieved in chip formation, cutting force, and cutting temperature between the model predictions and the experimental data.


Author(s):  
J. Ma ◽  
Nick H. Duong ◽  
Shuting Lei

This paper investigates the performance of microbump textured cutting tool in dry orthogonal machining of mild steel (AISI 1045 steel) using AdvantEdge finite element simulation. Microbumps are designed on the rake face of cemented carbide (WC/Co) cutting inserts. The purpose is to examine the effect of microbump textured tools on machining performance and to compare it with non-textured regular cutting tools. Specifically, the following microbump parameters are examined: microbump width, microbump height, and edge distance (the distance from cutting edge to the first microbump). Their effects are assessed in terms of the main force, thrust force, and chip-tool contact length. It is found that microbump textured cutting tools generate lower cutting force and thrust force and consequently lower the energy consumption for machining. The micobump width, microbump height, and edge distance all have influence on cutting force in their own ways.


2018 ◽  
Vol 2 (4) ◽  
pp. 74 ◽  
Author(s):  
Jinqiang Ning ◽  
Steven Liang

This paper evaluates a physics-based analytical model in the prediction of machining temperature of AISI 1045 steel and AISI 4340 steel. The prediction model was developed based on the Johnson-Cook constitutive model (J-C model) and mechanics of the orthogonal cutting process. The average temperatures at two shear zones were predicted by minimizing the difference between calculated stresses using the J-C model and calculated stresses using the mechanics model. In this work, (1) the influence of input Johnson-Cook model constants, cutting force, and chip thickness on the accuracy of predictions are investigated with sensitivity analyses, in which multiple sets of available J-C constants and varying cutting force and chip thickness are used for the temperature prediction in machining AISI 1045 steel. The larger the input deviation, the larger prediction deviation. The temperature at the primary shear zone is more susceptible to the deviation of inputs than the temperature at the secondary shear zone. (2) The machining temperatures are also predicted in machining AISI 4340 steel using cutting tools with various specifications to demonstrate its predictive capability. Good agreements are observed upon validation to available experimental data in the literature. (3) Lastly, the advantage and limitation of the temperature model are discussed with comparison other analytical temperature models. Considering the reliable and easily measurable input requirements and sufficient predictive capability, this temperature model can be employed for effective and efficient machining temperature prediction.


Author(s):  
J. Ma ◽  
Xianchen Ge ◽  
Nick H. Duong ◽  
Shuting Lei

This paper studies the performance of restricted cutting tool in dry orthogonal machining of mild steel (AISI 1045 steel) using finite element simulations. The rake face of cemented carbide (WC/Co) cutting inserts is designed and the rake face length is shortened. The purpose is to examine the effect of shortened tools on machining performance and to compare it with regular cutting tools. The following restricted tool parameters are examined: length of rake face, alpha angle (the angle between the rake face and the supporting face), and edge radius. Their effects are assessed in terms of the main force, thrust force, and chip-tool contact length. It is found that restricted cutting tools generate lower cutting force and thrust force and consequently lower the energy necessary for machining. The length of rake face, the angle between the rake face and the supporting face, and edge radius all have influence on cutting force in their own ways. The effects of these three parameters on the tool temperature distribution are also investigated.


2014 ◽  
Vol 902 ◽  
pp. 88-94
Author(s):  
Heraldo J. Amorim ◽  
Augusto O. Kunrath Neto

The understanding of machining processes comprises the study of phenomena such as: chip formation, cutting forces, tool wear mechanisms and the influence of the cutting parameters and machined materials on them. The aim of this work is to analyze the tool wear effects on machining forces during machining of AISI 1040 and 1045 carbon steels with carbide tool. Long-term machinability tests were performed, in which cutting force, feed force and tool wear were measured. Tool life results were analyzed, with best tool lives found for the AISI 1040 steel for all tested speeds. The other variables were analyzed as function of both time and tool wear. On the time domain, strong dependencies were found for both materials for tool wear, cutting force and feed force. The relationship between cutting force and tool wear showed good correlation for both materials, and the same was observed for feed force and tool wear relationship. Weak influence of cutting speed was observed on the relationship between tool wear and machining forces, which suggest that a single equation can describe them for all studied conditions with reasonable accuracy. The regression results are able to predict cutting forces as a function of tool wear with an average error of about 2.6 % during machining of AISI 1040 and 5.2 % for AISI 1045 steel. For the prediction of feed force as a function of tool wear, the average error is about 5.6 % for AISI 1040 and 7.0 % for the AISI 1045 steel, since a restricted domain is established. Data analysis showed a discontinuity in the behavior of feed force as a function of tool wear near the end of the life of the tools for most tests performed with AISI 1045 and some tests with AISI 1040 that suggest backwall wear, which was further evidenced by sudden change of chip form near the end of tool life in AISI 1040 steel.


Author(s):  
Hongtao Ding ◽  
Yung C. Shin

Materials often behave in a complicated manner involving deeply coupled effects among stress/stain, temperature and microstructure during a machining process. This paper is concerned with prediction of the phase change effect on orthogonal cutting of AISI 1045 steel based on a true metallo-thermo-mechanical coupled analysis. A metallo-thermo-mechanical coupled material model is developed, and a finite element model is used to solve the evolution of phase constituents, cutting temperature, chip morphology, and cutting force simultaneously using ABAQUS. The model validity is assessed using the experimental data for orthogonal cutting of AISI 1045 steel under various conditions, with cutting speeds ranging from 198 to 879 m/min, feeds from 0.1 to 0.3 mm, and tool rake angles from −7° to 5°. A good agreement is achieved in chip formation, cutting force and cutting temperature between the model predictions and the experimental data.


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