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  • Original Article
  • Open Access

Experimental Evaluation on Grinding Texture on Flank Face in Chamfer Milling of Stainless Steel

Chinese Journal of Mechanical Engineering201831:71

https://doi.org/10.1186/s10033-018-0271-0

  • Received: 25 January 2017
  • Accepted: 9 August 2018
  • Published:

Abstract

The surface quality of chamfer milling of stainless steel is closed related to the products of 3C (Computer, Communication and Consumer electronics), where a cutter is a major part to achieve that. Targeting a high-quality cutter, an experimental evaluation is carried out on the influence of grinding texture of cutter flank face on surface quality. The mathematic models of chamfer cutter are established, and they are validated by a numerical simulation. Also the grinding data are generated by the models and tested by a grinding simulation for safety reasons. Then, a set of chamfer cutting tools are machined in a five-axis CNC grinding machine, and consist of five angles between the cutting edge and the grinding texture on the 1st flank faces, i.e., 0°, 15°, 30°, 45° and 60°. Furthermore, the machined cutting tools are tested in a series of milling experiments of chamfer hole of stainless steel, where cutting forces and surface morphologies are measured and observed. The results show that the best state of both surface quality and cutting force is archived by the tool with 45° grinding texture, which can provide a support for manufacturing of cutting tool used in chamfer milling.

Keywords

  • Grinding texture
  • Chamfer cutter
  • Cutting force
  • Surface quality

1 Introduction

In modern 3C industry (Computer, Communication and Consumer Electronics), the metal shell provides a better experience in both touch and visual than plastic one. Many companies have launched the products with metal shell since 2013, e.g., Apple, Samsung, HTC, Huawei, Lenovo, OPPO, Xiaomi and Meizu [1]. Here, the machining process plays a key role in the delivery of the 3C products with high machining quality, especially with surface quality. During machining, high-quality surface is usually obtained by optimising cutting parameters and tool geometrical parameters [2]. Among other factors, the grinding texture on tool flank face is closely related to the surface quality, due to it is in contact with finish surface directly during machining.

Targeting the suitable parameters of grinding texture generating good surface quality in chamfer machining, a series of experiments are carried out in this research. The remainder of this paper is organised as follows. Literature review is described in Section 2, followed by the manufacture of the chamfer cutting tool in Section 3, including mathematic models, numerical simulation, grinding simulation, etc. Experiment setups are presented in Section 4, and the experimental results of cutting force and surface quality are illustrated in Section 5. Finally, Section 6 concludes this paper.

2 Literature Review

There are many factors influencing the surface quality of machined parts generally, e.g., geometrical parameters of chamfer tool, material properties, cutting parameters, coolant, and lubricants, etc.

Geometrical parameters of the chamfer tool influence the machined surface quality directly. Xiong et al. [3] analysed the influence of point appearance of cemented carbide cutting tools on quality of the machined surface. To improve the surface quality, the wiper technique was employed in super long rod processing by Lai et al. [4]. Wang et al. [5] analysed the effects of rake angle and flank angle of the tool on machined surface roughness of potassium dihydrogen phosphate crystal in diamond turning. Jiang et al. [6] introduced that the comparison test of surface quality and tool wear was carried out using three polycrystalline diamond (PCD) tools with different grinding surface quality, and flank surface quality of PCD cutting tool has a big influence on machined surface quality, but has less effects on cutting tool’s life. The effect of the tool flank wear (VB) on the surface roughness and cutting force was studied by Wu et al. [7], and the mechanism of production was discussed. Dong et al. [8] reported that the machined surface quality can be improved by using a designed diamond tool sharpness.

Textured surface was applied to cutting tools to improve their performances, e.g., cutting force [9], cutting temperature [10], anti-adhesiveness [11, 12], and tool wear [13]. Obikawa et al. [14] proposed a set of experimental comparison of four types micro-textured coated tool in turning of an aluminium alloy A6061-T6, as a result of which, friction force and the coefficient of friction were reduced. Deng et al. [15] proposed three carbide tools with textured rake-face with filled with solid lubricants in dry cutting. Their experiments demonstrated the tool performances were improved comparing to cutting tool without textures, where cutting force, cutting temperature, and friction coefficient are reduced. They also applied a carbide tool within the three tools in dry cutting of titanium alloys Ti-6Al-4V, and the similar results were obtained [16]. The textured Al2O3/TiC ceramic tool were also tested in dry cutting of hardened steel, and the result showed that the chip morphology and chip curl were changed, and that the tool wear was reduce by the textured self-lubricated tools [17]. Xie et al. [18] proposed a set of experiments using cutting tool with a non-coated micro-grooved rake face, and the results showed cutting temperature and cutting force were reduced significantly. Fatima et al. [19] proposed a turning inserts with structured rake-flank face used in machining of AISI/SAE 4140. In their experiments, the textured cutting tools showed better performances in. reducing compress ratio, cutting force, cutting temperature, and flank face wear. Sugihara et al. [20] designed a kind of cubic boron nitride with textured flank face which was used in high-speed machining of Inconel 718, a kind of superalloys. As a result of their experiments, a cutting tool with micro grooves orthogonal to cutting edge set back from the cutting edge significantly showed the best cutting edge state.

Cutting parameter selection is an important factor to improve the surface quality. Zou et al. [21] developed a new cutting tool using a hot-pressed technology, and evaluated the cutting performance using a standard orthogonal array experiment. Fan et al. [22] reported the optimised cutting parameters used in turning of Inconel 718 with PVD coated carbide tool, improving the surface quality. Kong et al. [23] analysed the impact of high speed milling parameters on the surface roughness, residual stress, and the distribution of residual stress, respectively, in a series of single factor experiments. Hu et al. [24] proposed a selection method of cutting parameters to improve the surface quality in precision and ultra-precision machining. Sonawane et al. [25] presented an optimisation method of the machining parameters by using a central composite design with each variable taken at five levels in terms of the design constraints, e.g. product thickness, product inclination and cutter orientation. In addition, Mustea et al. [26] analysed the roughness and hardness through investigating the influence of cutting parameters (cutting speed, feed rate and cutting depth) on the surface quality machined in turning of AZ61 magnesium alloy. Mgwatu [27] proposed an integrated optimisation models of machining parameters considering tool wear and surface quality in multi-pass turning operations. Chirita et al. [28] used three cooling methods, e.g., dry cutting, minimum quantity lubrication and compressed air, to investigate the influences of cooling systems on surface quality of magnesium alloy parts. Salisbury et al. [29] found a way of mapping grinding wheel topography on the workpiece via a geometric–kinematic model in a single-pass surface grinding process. In their model, table speed, wheel speed, wheel topography and original workpiece surface texture were concerned.

From the literature survey, many factors related to surface quality of the machined parts have been addressed, e.g., geometrical factor, micro-texture, and cutting parameters. However, there are few reports concerning the grinding texture on cutting tool flank face, in particular in the chamfer machining of hole. Therefore, this paper is focused on the relationship between the machined surface and grinding texture on flank face in the chamfer milling of stainless steel.

3 Manufacturing of Cutting Tool

Manufacturing of chamfer cutting tool starts with the establishment of the mathematical models including rake face, 1st flank face and 2nd flank face. Following that, the simulation of the models is carried out for the safety reason, and then machining process is driven by the simulated models.

3.1 Mathematical Model of Cutting Tool

There are two methods applied to establishment of cutting tool models, analytic geometry and differential geometry [30]. Analytic geometry is employed to establish the mathematical models of the cutting tool. Coordinate system xyz of cutting tool model is built firstly, where z axis is the central axis of cutting tool, and the tool tip is the origin of the system xyz (Figure 1). The coordinate system x1y1z1 can be obtained by the translation tx of xyz along x axis. The system x2y2z2 can be generated by rotation of x1y1z1 around y1 through an angle of α. By rotating x2y2z2 around x2 axis through an angle of β, the system x3y3z3 can be obtained. The system x4y4z4 is generated after moving x3y3z3 along y3 axis by ty. Finally, the system x5y5z5 is obtained by rotating x4y4z4 around x4 axis through an angle of ŋ. The transformation matrix M between xyz and x5y5z5 is calculated by Eq. (1):
$$\begin{aligned} M = \,& M_{xt} \times M_{y\eta } \times M_{xa} \times M_{yt} \times M_{x\beta } \\ = & \left[ {\begin{array}{*{20}c} {\cos (\alpha )} & {\sin (\alpha )\sin (\beta + \eta )} & { - \sin (\alpha )\cos (\beta + \eta )} & 0 \\ 0 & {\cos (\beta + \eta )} & {\sin (\beta + \eta )} & 0 \\ {\sin (\alpha )} & { - \cos (\alpha )\sin (\beta + \eta )} & { - \cos (\alpha )\cos (\beta + \eta )} & 0 \\ {t_{x} \cos (\alpha )} & {t_{x} \sin (\alpha )\sin (\beta + \eta ) + t_{y} \cos (\eta )} &{ - t_{x} \sin (\alpha )\cos (\beta + \eta ) + t_{y} \sin (\eta )} & 1 \\ \end{array} } \right], \\ \end{aligned}$$
(1)
where Mxt is a transformation matrix from xyz to x1y1z1, M a transformation matrix from x1y1z1 to x2y2z2, M a transformation matrix between x2y2z2 and x3y3z3, Myt a transformation matrix between x3y3z3 and x4y4z4, and Myt a transformation matrix from x4y4z4 to x5y5z5.
Figure 1
Figure 1

Transformation of coordinate systems for cutting edges

For the chamfer tool, a straight line is utilised as the cutting edge, the model of which is established easily in the system xyz, as shown in Eq. (2):
$$\begin{aligned} & \left\{ \begin{array}{l} x = x_{{o_{1} }} + t \times \cos \alpha , \hfill \\ y = 0, \hfill \\ z = t \times \sin \alpha , \hfill \\ \end{array} \right. \hfill \\ & \quad a \le t \le b, \hfill \\ \end{aligned}$$
(2)
where t is the parameter of the model, and a and b are the constraints of t.
The 2nd flank face is a three-dimensional surface which is constituted by cutting edge and the grinding path of the 2nd flank face. A straight line in x5y5z5 (Eq. 3) is selected as the grinding path of the 2nd flank face. Therefore, the path in xyz is calculated by substituting Eq. (3) into Eq. (1):
$$\left\{ \begin{aligned} x_{5} = t_{1} , \hfill \\ y_{5} = 0, \hfill \\ z_{5} = 0, \hfill \\ \end{aligned} \right. \quad c \le t_{1} \le d,$$
(3)
where t1 is the parameter of the model, and c and d are the constraints of t1.

3.2 Numerical Simulation on Cutting Tool Models

In order to validate the mathematical models (Section 3.1) of chamfer cutting tool, a numerical simulation is carried out in MATLAB, as shown in Figure 2, where there are the face and line, e.g., cutting edge, and 1st flank face between cutting edge and cutting path of the 2nd flank face. Here, the geometries of the chamfer cutting tool are determined by tool shape parameters (R, a, b) and cutting edge cross-section parameters (γ, β).
Figure 2
Figure 2

Numerical simulation of chamfering tool

3.3 Grinding Processes of Cutting Tool

The geometric parameters of chamfer cutting tool, as shown in Table 1, consist of diameter, edge length, tool length, tooth number, rake angle, the 1st flank angle, and the 2nd flank angle. The grinding processes is planned according to the features of cutting tool, as shown in Figure 3(a), consisting of four steps, i.e., rake angle grinding, edge side grinding, 2nd flank angle grinding, and 1st flank angle grinding. Rake angle grinding and edge side grinding are machined by a straight diamond grinding wheel (grit size: D10, concentration: C100, wheel grinding feed: 0.015 mm), whereas the 2nd flank angle grinding and 1st flank angle grinding are machined by a dish cup diamond grinding wheel (grit size: D64, concentration: C100, wheel grinding feed: 0.035 mm) (Figure 3b). Also, to generate five kinds of grinding textures on 1st flank face, five grinding strategies are developed (Figure 3c).
Table 1

Geometric parameters of chamfer tool

Material

Diameter (mm)

Edge length (mm)

Tool length (mm)

K40UF

12

2

50

Tooth number/peace

Rake angle (°)

1st flank angle (°)

2nd flank angle (°)

1

0

4

15

Figure 3
Figure 3

Simulation of grinding process

The grinding data are generated based on the mathematical models of the tool, and they are imported into NUMROTO software embedded in the grinding machine. After setting up grinding parameters, the simulations are carried out on the four steps accordingly to validate the grinding data, as shown in Figure 3(a), which demonstrates the correctness of the data. Consequently, the cutting tools are machined in a grinding machine, as shown in Figure 4, where Figure 4(a) shows the carbide blank, Figure 4(b) reveals the grinding process in the grinding machine, and Figure 4(c) illustrates the chamfer cutting tool including 1st flank angle, 2nd flank angle, rake face and cutting edge, etc.
Figure 4
Figure 4

Grinding process of chamfer cutting tool

Figure 5 depicts the grinded cutting tools with different grinding textures on 1st flank face, where five 1st flank faces, on which there are five angles between cutting edge and the texture line, i.e., 0°, 15°, 30°, 45° and 60°, are displayed in Figure 5(a)–(e), respectively.
Figure 5
Figure 5

The 1st flank faces

4 Experimental Setups

In the test, the chamfers are machined on the drilled holes. A 304 stainless steels used as a mobile case are selected as the test workpiece. Figure 6 depicts the experimental setups. A 3-axis milling machine, VDL-1000E, is selected to carry out the test. Kistler 9257B is used to measure the cutting force combining charge amplifier and data acquisition. As the machining parameters, cutting speed is 14.32 m/min, feed rate is 0.01 mm/rev, and ap = 0.16 mm, which are employed in real industry.
Figure 6
Figure 6

Experiment equipment

KEYENCE VHX-1000 digital microscopeis utilised to observe the machined chamfered surface. A white light interferometer, Talysurf CCI PM, is selected to measure the surface roughness of machined chamfer.

5 Results and Discussions

The influences of grinding texture on cutting force, surface form and roughness are analysed accordingly in this section.

5.1 Cutting Force

Figure 7 shows the influences of grinding texture on the 3-direction cutting forces of x, y and z. With the grinding texture angle from 0° to 45°, cutting forces of x, y and z are decreased from x = 205.1 N, y = 207.5 N and z = 94 N to x = 119.6 N, y = 132.4 N and z = 67.7 N, respectively. Then the forces are increased to x = 147.1 N, y = 146.5 N, z = 72.6 N after the texture angle over 45°. Moreover, the cutting force values of x and y directions are higher than the cutting force values of z direction that changes with in a small range. The cutting forces of x and y directions are similar in trends and values. The lowest cutting force value is generated when the grinding texture equals 45°, and the highest cutting force is at the 0° grinding texture. According to the results, it is obvious that the cutting forces are influenced by the texture direction.
Figure 7
Figure 7

Influence of grinding texture on cutting force

5.2 Surface Forms and Roughness

Figure 8 shows the impact of the grinding texture angles on the machined surface forms, where the burn and the coarse texture are the main defect patterns. Generally, the surface quality is improved as the grinding texture angle is increased from 0° to 45°. However, the surface quality of machined products is deteriorated gradually when grinding texture is between 45° to 60°. In Figure 8(a), the coarse textures appear from bottom to top of the chamfer, and the burn is also generated. The burn is the major defect when the grinding texture angle is 15°, and comparing with 0° texture angle, the coarse texture defect is improved (Figure 8b). The burn spots are fewer at 30° grinding texture angle than at 15° angle (Figure 8c), and there is no scratch defect. There is no burn spot on the chamfer surface at 45° grinding texture angle (Figure 8d); however, there is many small coarse texture. When grinding texture angle is 60°, the burns are generated into an area, and they are more than 45° grinding texture angle (Figure 8e). Therefore, the surface quality is highly influenced by grinding texture, and it is the highest at 45° grinding texture.
Figure 8
Figure 8

Surface forms of machined chamfers

A 3D roughness criterion, arithmetical mean height Sa, is utilised to describe the roughness, and it expresses surface quality with higher-accuracy than the 2D roughness criteria. Figure 9 depicts the surface roughness curve and 3D forms of machined chamfer, and four samples are selected to measure Sa to raise the measurement accuracy. Sa is decreased with the texture angle raising from 0° to 45°, however, it is increased after 45° texture angle. The lowest Sa is generated at 45° texture angle.
Figure 9
Figure 9

Surface roughness curve and 3D forms of chamfer surface

The friction type between the flank face of the tools and the workpiece surface is mixed friction. The one part of the friction surface is separated by oil film, and the other part of the friction surface is contacted. The texture directions determine the frictional behaviour and lubricant retention of flank, which effects the cutting force, surface generation and roughness.

6 Conclusions

  1. (1)

    A set of cutting tools with five angles of texture angle, i.e., 0°, 15°, 30°, 45° and 60°, are modelled, simulated, machined and tested accordingly to evaluate the grinding texture on flank face. Cutting force, surface quality and surface roughness are observed.

     
  2. (2)

    The cutting force is decreased with texture angle increasing from 0° to 45°, and then is increased. The lowest cutting force is achieved at 45° grinding texture angle.

     
  3. (3)

    The burn and the coarse texture are the main defect patterns in chamfer milling of stainless steels. The best surface quality is achieved at 45° grinding texture.

     
  4. (4)

    Surface roughness Sa is decreased with texture angle increasing from 0° to 45°, and then is increased. It is obvious that the best state of surface roughness is archived by the tool with 45° grinding texture.

     
  5. (5)

    Combining the results of cutting force, surface quality, and surface roughness, it is obvious that the best machining state is obtained at 45° texture angle, i.e. the lowest cutting force, the best surface form, and the lowest surface roughness.

     

Declarations

Authors’ Contributions

XLL and WJ was in charge of the whole trial; JKS and WJ wrote the manuscript; LHW assisted with sampling and laboratory analyses. All authors read and approved the final manuscript.

Authors’ Information

Xian-Li Liu, born in 1961, is a professor at Harbin University of Science and Technology, China. His majors are cutting tool technology and metal cutting.

Jin-Kui Shi, born in 1989, is a master candidate, and he focuses on cutting tool manufacturing technology.

Wei Ji, PhD, born in 1986, is a post doctor at KTH Royal Institute of Technology, Sweden. His major is focused on cutting tool manufacturing technology and process planning.

Li-Hui Wang, is a professor at KTH Royal Institute of Technology, Sweden. He focuses on process planning, cloud manufacturing, and human-robot collaboration.

Competing Interests

The authors declare that they have no competing interests.

Funding

Supported by Heilongjiang Provincial Natural Science Foundation of China (Grant No. QC2016070).

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
Harbin University of Science and Technology, Harbin, 150080, China
(2)
KTH Royal Institute of Technology, 10044 Stockholm, Sweden

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Copyright

© The Author(s) 2018

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