INTRODUCTION
For the purpose of improving the competitive ability, increasing efficiency
and reducing costs are accepted by manufacturing industries. By analyzing metal
machining mechanics, process parameters can be adjusted correctly to carry out
high efficiency cutting. Thus it is required to get an understanding of the
process.
Experimentation, analysis and the numerical method are frequently applied to
the researches on the metal cutting process. The disadvantages of experimentation
include the high cost and laborintensity of the process and analytic method
is very difficult for qualitative and quantitative analysis (Pantale
et al., 2004; Yen et al., 2004; Kumar
et al., 2012; Liu et al., 2012).
So far, the investigations about turning and milling simulation have been conducted.
At the same time, if one among parameters of some properties is changed in a
kind of machining condition, the simulation model needs to be reconstructed.
In addition, more calculating and preprocessing before modeling have to be done,
so it is difficult to make process simulation become a practical tool for a
consumer.
It is known that the modeling procedure is relatively complex. However, very
little research on parametric modeling has been reported. In order to solve
the problems mentioned above, taking parametric modeling as an idea, the whole
modeling procedure is described in detail as follows.
With the aim to simulate the turning process quickly, a finite element model
is set up automatically with the help of the parametric idea.
The objective of this study is to investigate a coupled thermomechanical finite
element model to simulate an orthogonal cutting process, with a particular emphasis
on the parametric modeling of the cutting tool and work. The steadystate and
plane strain cutting condition will be considered. The simulative and experimental
temperatures and forces field are obtained in different cutting parameters.
Part of the simulative results obtained from simulation will be compared with
the experimental data.
FEM MODEL FOR ORTHOGONAL CUTTING ANALYSIS
Figure 1 shows a finite element model of orthogonal cutting.
Modeling of the cutting tool and work piece: Based on the physical
model and characteristics of FEA computer software, Brep (Boundary representation)
was introduced. This method can express two kinds of information: Geometrical
data and topological information (Fig. 2). Geometrical data
reflect the size and position of the object and topological information describes
the relative position. The computational model of a cutting tool and a workpiece
in a rectangular coordinate is presented in Fig. 3.

Fig. 1: 
Finite element model of orthogonal cutting 

Fig. 2: 
The topological structure of a cutter 

Fig. 3: 
The construction of model of a cutting tool and a workpiece
in a rectangular coordinate system 
By deduction, the coordinates of the model of a cutting tool and a workpiece
are seen in Table 1 and 2, in which x stands
for the horizontal ordinate of a certain point and y stands for ordinate.
Table 1: 
The computational coordinates of model of a cutting tool and
a workpiece 

W_{1}, W_{2}, W_{3} and W_{4}
are the workpiece vertex, and C_{1}, C_{2}, C_{3}
and C_{4} are the tool vertex. a, b is the length and height of
a workpiece, respectively, m and n is the dimension of relative position
between a tool and a workpiece, l_{1} and l_{2} are the
length of every edge of the cuttingtool and γ_{0} is rake
angle and α_{0} is flank angle of the cutter 
Table 2: 
The computational formulas of the endpoints of two rigid
walls 

R_{1,} R_{2}, R_{3} and R_{4}
are the endpoints on the rigid walls 
Modeling of the rigid walls: Two lines (R_{1}R_{2} and
R_{3}R_{4}) are used for rigid walls to restrict the displacement
of a workpiece in x and y direction. The computing formulas of key coordinates
of the rigid walls are seen in Table 2.
Material model : The workpiece material to be simulated is a twophase
deposited stainless steel which Poisson ratio is 0.18 and density is 7.8x103
kg m^{3}.
The workpiece material was modeled as elasticplastic, with isotropic hardening
and flow stress defined as the function of strain, strain rate and stress temperature.
The original form of the JohnsonCook material law is used for the simulations.
This relationship is frequently adopted for dynamic problems. The dynamic compressive
properties of the test material have been studied by means of a split Hopkinson
pressure bar at high strain rates and at 25,300 and 500°C (Fig.
4). The yield limitation is defined by following expression (Kabaldin
et al., 2012):
where,
is the equivalent plastic strain,
the equivalent plastic strain rate, T the temperature; while A, B, n, C, m and
are the parameters determined by a material itself; Tmelt and Troom represent
the melting temperature and the room temperature, respectively. The following
are the materials used in the experiment: A is 626 Mpa, B is 3614 Mpa, q is
0.82, C is 0.0268 and p is 1.

Fig. 4(ab): 
Experimental equipment for Split Hopkinson Pressure Bar to
obtain material data 
Friction model between tool and chip: There are two explicit areas on
the rake surface: Slip region and glue region. On the basis of research, constant
coefficient friction is applied in the slip region and constant friction stress
is used in the glue region (Smaoui et al., 2011).
The friction model of the transitional region is expressed as:
where, σ_{f } is the frictional stress, σ_{n} the
normal stress, μ the coefficient of sliding friction, v_{r} the
opposite slip velocity of contact point and v_{rcnst} the critical relative
speed between contact bodies while there is relative motion.
The criterion of chip separation: Geometric criterion and physical criterion
are combined in simulation to make the chip separate from the workpiece and
the rake face (Crichigno Filho, 2012).
Equation of heat conduction: Because the system which includes the workpiece,
the chip and the tool, generates heat continuously, the first and the second
deformation zone of the workpiece go through plastic and elastic deformation.

Fig. 5: 
The block diagram interaction between advanced computer language
and database 
Besides, the rake surface of the tool has severe friction. The equation of
the heat conduction in 2D unsteadystate temperature field is described using
the following relationship (Kabaldin et al., 2012):
where, λ represents the thermo conductivity coefficient, t is the time,
ρ is the material density and c is thermal capacity, w_{x} and
w_{y} are the velocity component of kinematic heatsource in x and y
axis respectively. q* denote heat generation rate per unit volume:
where, W_{h} is the ratio that plastic deformation workpiece turns
into heat energy,
is equivalence stress, J is the coefficient of thermal equivalent of the workpiece.
Because the amount of radiant heat is minimal it is ignored.
The finite element model used for the planestrain orthogonal metal cutting
simulation is based on the updated Lagrangian formulation as provided by the
MSC. Marc code. Since the cutting width is at least five times greater than
the depth of cut during real metal cutting processes, the chip is produced under
nearly planestrain conditions. The vertical displacement of the nodes, Y, at
the lower boundary of the workpiece and the horizontal displacement of the nodes,
X, at the left boundary, are zero. The task restricted the displacement is accomplished
by a rigid wall.
KEY TECHNIQUES OF PARAMETRIC MODELING
The interface design of parametric modeling
The interface design between C^{++} Builder and database: The
Interaction design between advanced computer language and database is seen in
Fig. 5, in which the operation process of data is expressed.
The system exploited with C++Builder advanced language, accesses the data by
BDE (Borland Database Engine) engine. An example is expressed as follow:

Interface file of parametric modeling in MSC. Marc: The entity models
for the cutting tool and workpiece and the rule to create a procedure file were
built. Then the topological information and the geometrical information (including
point, line and surface) are calculated out and written to the right place in
the process documentation. And the mesh of the cutting tool and the workpiece
can be automatically generated, simultaneously. Thus, the final process documentations
are opened via the format specified by the finite elements software to access
and the whole modeling process is completed. The procedure above mentioned is
controlled by an explanation facility (Rai and Xirouchakis,
2009).
The procedure file generated can be operated according to a specified format.
So the modeling process becomes easy. Figure 6 shows the block
diagram of the modeling process. The structure of a procedure file is seen in
Fig. 7. All the modeling parameters are accessed in several
correlative databases by the BDE engine concurrently. Part of the interface
file is shown as follows:
Interface of entering finite element environment for modeling: With
the help of an interface, a customer can finish the modeling of a machining
process in MSC. Marc environment by a function that calls a modeling file conveniently
in Windows operating system. Part of an interface file is shown below:
Creating the parametrical modeling file: The geometric information of
cutting condition can be performanced by process file’s translation machine.

Fig. 6: 
The function of each module and the relationship between them
during modeling process 

Fig. 7: 
The hierarchical structure of a modeling procedure file 
The process file is shown below:
Parametric modeling files (process file) can finish the scheduled task to model
and simulate the machining procedure in finite element software MSC. Marc.
Parametric setting of workpiece and milling cutter’s
property: Before simulation of cutting process, geometric properties and
material property of elements, contact relationship of bodies, mechanics and
thermal conductivity between cutter and workpiece need to be defined and evaluated.
But the number of elements is influenced by the size of work, structural sizes
and geometrical angles of tool, so dynamic meshing of workpiece and tool are
a key problem.
Element sets are used technically to stored the elements information of a workpiece
and a tool separately by setting of a function which can make units invisible
or visible rather than calculating the number of elements before Oluwajobi
and Chen (2011).
Parametric method was conducted in the study. And development platform was
carried out to construct a geometrical model and a further finite element model.
The whole modeling procedure was automatically finished by rulebased reasoning
and objectoriented method.
EXECUTION OF EXAMPLE
The interface for modeling is seen in Fig. 8. A customer
is able to fulfill the whole modeling procedure for cutting in MSC.Marc software
by this interface. The model that the system generates is shown in Fig.
1.
In order to verify the simulation model, an experiment was employed, using
a turning lathe of C630 and cutting tool with material of YW1. The cutter is
with rake angle of 4°, relief angle of 10°, inclination angle of 0°
and angle of declination 90°. Four groups of cutting parameters in Table
3 were adopted in the simulation and experiment. The cutting speed was 339
mm g sec^{1}. Figure 9 shows the result of the simulation.
To contrast simulation and experimentation, a comparison of the cutting forces
and a comparison of the cutting temperature are seen in Fig.
10.
Table 3: 
The cutting depths and amount of feeds in four group of cutting
parameters for experiment and simulation 


Fig. 8: 
A customer interface to construct a model of a workpice and
a cutting tool 

Fig. 9: 
The cutting force of simulation at a depth of cut of 0.30
mm and a cutting speed of 0.26 mm rev^{1} 

Fig. 10(ab): 
Comparisons of experiment and simulation of both cutting
forces and cutting temperatures values and in the four sets of condition,
(a) Comparison of experiment and simulation of cutting force in the four
sets of condition (b) Comparison of experiment and simulation of cutting
temperature values in the four sets of condition 
The two main reasons for error between the simulation and the experimentation
are that the tool is treated as a wedge angle and that the material flow stress
model is not accurate enough (Wu and Jia, 2013).
It is proven for examples running that the time to model has been reduced greatly.
So operator can model and simulate conveniently under a processing condition.
CONCLUSION
By analyzing the simulation procedure of the machining process, the steps of
parametric modeling were defined. Based on the features of MSC. Marc software
and the formats of a process file, the interfaces between the database, MSC.
Marc and advanced language, were developed. An explanation facility was also
exploited (Liu et al., 2013). The modeling file
was generated automatically after a consumer constructed a simulation model
through the interface and could be run to generate a simulation model rapidly.
An example shows the modeling procedure and results of the simulation. It can
be concluded that parametric modeling is an effective tool. Output data of the
simulation, such as forces, stress, strain, displacements and temperatures,
should be considered in the future.
ACKNOWLEDGMENTS
The authors are grateful to the Science and Research Foundation of Xiamen University
of Technology (Grant No. 90010605), the Major Program of Educational Commission
of Hubei Province of China (Grant No. C201056) for supporting the research.