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Communication

Dual-Axial Tool Servo Diamond Turning of Hierarchical Micro-Nano-Structured Surfaces

School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
*
Author to whom correspondence should be addressed.
J. Manuf. Mater. Process. 2021, 5(2), 58; https://doi.org/10.3390/jmmp5020058
Submission received: 16 April 2021 / Revised: 6 May 2021 / Accepted: 11 May 2021 / Published: 7 June 2021
(This article belongs to the Special Issue Progress in Precision Machining)

Abstract

:
This paper reports on a dual-axial tool servo diamond turning method for the one-step fabrication of hierarchical micro-nano-structured surfaces. With respect to the dual-axial servo motion (XZ), the z-axis motion can generate the primary surface with a complex shape, and the x-axis motion is used to synchronously form the secondary structure via controlling the residual tool marks. The toolpath determination algorithm for the developed turning method is described in detail, and the effect of the machining parameters on the basic feature and sizes of the generated secondary structures is investigated through conducting the numerical simulation for both toolpath and surface generation. The simulation result indicates that the additional x-axial motion is effective for the deterministic generation of a variety of secondary structures. Finally, taking advantage of an ultra-precision lathe with a self-developed tri-axial FTS, a hierarchical surface with high accuracy is practically generated.

1. Introduction

Due to superior features like color dispersion [1], super-hydrophobicity [2] and corrosion inhibition [3], the hierarchical surface is widely applied in optics, energy, electronics, etc. [4]. There are many techniques reported to fabricate successfully the hierarchical surface, including laser writing [5], chemical etching [6], electrical discharge machining [7], extremophile bacteria [8] and mould pressing [9]. However, due to their limitations like specified material and expensive costs, the diamond cutting with better accuracy and flexibility gets a lot of attention in the researches on fabricating hierarchical micro-nano-structured surfaces [10].
The hierarchical surface is generally comprised of the primary surface and the secondary micro/nano structures. As for the primary surface, lots of developed diamond cutting technologies have been published, like the ultra-precision diamond turning [11] and the fly cutting [12]. Especially for the diamond cutting process with the FTS, the various complex primary surface can be fabricated efficiently [13]. The developments of toolpath determination [14] and error compensation [15] also further improve the machining precision of the primary surface. On this basis, fly cutting has been able to fabricate the pyramid secondary structures via removing materials from different directions. The designed cross toolpaths form specific residual tool marks, namely the pyramid secondary structures, the topography of which can be adjusted by redesigning the toolpath spacing and the cutting direction [16]. The rotary ultrasonic diamond cutting also has the capacity to fabricate the hierarchical surface. The single point diamond mounted the ultrasonic spindle can periodically enter and leave the machined primary surface, resulting in that the micro dimples are favorably formed on the primary surface [17]. Even so, the above technologies still take a great deal of time to determinate complicated toolpath, which must meet the requirements of fabricating the primary surface and the secondary structures at the same time. Obviously, one technique for fabricating the hierarchical surface with better flexibility and compatibility should be developed.
The vibration-assisted machining has conspicuous advantages in fabricating hierarchical micro-nano-structured surfaces. For most cutting technologies of fabricating the primary surface, exerting the assisted vibration can naturally induce periodic residual tool mark on the machined surface, namely the secondary structure. In addition, there are some reports revealing that the vibration-assisted machining can reduce the cutting force [18] and increase the fatigue life of workpiece [19]. For the ultra-precision diamond turning, the positions of the diamond tool and the workpiece can be interchanged to constitute the fly cutting. Via the application of assisted vibration, the corresponding toolpaths just focus on improving the machining accuracy of the primary surface, while nano dimples can be generated naturally [20]. The assisted vibration also can be employed in the rotary ultrasonic diamond cutting. By means of the spindle generating high-frequency longitudinal vibration in the spindle axis, micro/nano sinusoidal textures can be formed on the inner surface of linear groove [21]. Different from single assisted vibration, the micro milling combining orthogonal assisted vibrations has been developed to generate various micro/nano textures, which observably change the surface wettability [22], via adjusting orthogonal vibration parameter. The elliptical vibration is one specific assisted vibration mode adding elliptical trajectories on the tooltip, which significantly reduces the chip thickness and has a great advantage in the optical surface fabrication of the brittle material. The core of elliptical vibration is the synergy between the machining and vibration parameters, which decides the secondary structure shape, like dimple arrays or step textures [23,24].
The collocations between machining and vibration parameters have significant impacts on the secondary structure shape. With the performance improvement of the vibration generator, various collocations can be achieved [25]. Therefore, the modulated assisted vibration has the potential to fabricate various secondary structures [26]. For instance, the ultra-precision diamond turning can be modulated into the process like milling for fabricating the micro/nano channels with different bottom surface [27]. The micro/nano sculpturing with modulated elliptical vibration can form grooves with several waves [28], and the variational secondary structures may bring functional differences for different areas of the primary surface [29]. Obviously, the vibration modulation improves effectively matching attributes between the primary surface and the secondary structure. Whereas, for different diamond cutting technologies, the relationship between the secondary structures and the modulated assisted vibration still needs to be further studied and established.
Although a great number of methods have been developed to fabricate hierarchical micro-nano-structured surfaces, most of them cannot achieve one-step machining. The vibration assisted machining is a popular technique for fabricating synchronously the primary surface and secondary structures. However, the assisted vibrations are usually applied along cutting depth direction to generate random and imprecise secondary structure. In this paper, a dual-axial tool servo diamond turning method for ductile materials is proposed to develop the vibration-assisted machining through applying additional vibration along the direction that is perpendicular to the cutting depth direction. The z-axis tool servo motion is used to fabricate the primary surface as the common diamond turning, and the x-axis motion is added to generate the secondary structure and perform the tool setting error compensation. Via changing the x-axis motion amplitude and period, the feature and size of the secondary structure can be controlled precisely. Thus the modulation of the machining parameter is also investigated to obtain desired secondary structure. More details are written below, and this paper is organized as follows: the basic principle of the proposed approach is explained in Section 2. The toolpath determination including the error compensation and the interference detection is introduced in Section 3. The numerical simulation results of the toolpath and demonstrating the effects of machining parameters on the secondary structure geometry are revealed in Section 4. The proposed method is verified by a machining experiment for copper cylinders in Section 5. Finally, Section 6 concludes the paper.

2. Dual-Axial Tool Servo Diamond Turning Mechanisms

Figure 1a shows the basic principle for fabricating hierarchical micro/nano-structured surfaces via the proposed dual-axial tool servo diamond turning method. Based on common ultra-precision diamond turning, a FTS with at least x- and z-axis degrees of freedom is installed between the slide of ultra-precision lathe and the diamond tool to achieve better driving performance. The z-axis degree of freedom is used to ensure that the tool edge is tangent to the machined primary surface like common diamond turning, and the x-axis degree of freedom can provide the harmonic motion to control residual tool marks, namely the secondary structures.
In view of the fact that the FTS motion depends on the spindle rotation angle c, the x-axis tool servo motion can be preliminarily expressed as:
x F T S = A sin ( c n )
where A is the motion amplitude, and n is a coefficient determining the motion frequency. Note that the secondary structure generation is easily affected by various factors like spindle speed s and feed per revolution f, etc. As illustrated in Figure 1b, only when the amplitude A equal to f / 2 and coefficient n achieving the phase difference π between adjacent toolpaths are performed, adjacent toolpaths can be tangent to each other, resulting in uniform fusiform secondary structures. In this case, assume that the used tool radius is R T , the width w and the height h of single fusiform secondary structure can be calculated as:
w = 4 A
h = R T R T 2 w 2 4 .
Since the feed per revolution f, the amplitude A and the tool radius R T are constant, the width w and the height h of secondary structure are invariable. As for the length l of single secondary structure, it can be approximatively calculated as:
l = 2 π ρ a / n
where ρ a is the distance between the secondary structure and spindle centres. Obviously, ρ a and l decrease continuously in the ultra-precision turning, thus the cutting radius should depend on the design range of the structure length.
In addition to the above fusiform secondary structures, through using the amplitude A far smaller than feed per revolution f or zero phase difference between adjacent toolpaths, the proposed method also can fabricate micro/nano-channel or sinusoidal textures. On the contrary, if the amplitude A is larger than f / 2 , there will be difform secondary structures synchronously formed on the primary surface. Thus, for forming desired secondary structures, the x-axis motion should be modulated to adapt other machining parameters, and more detailed modulation method will be discussed in Section 4.

3. Toolpath Determination for Dual-Axial Tool Servo Diamond Turning

Although different machining parameters may be applied in the turning process, the basic principles of the toolpath determination algorithm still are the same [24,27]. In addition, the toolpath generated in this paper is smooth, and the used motion frequency is far less than the elliptical vibration. Therefore, the dynamic effect is slight and ignorable. The universal toolpath determination, including a description of the diamond tool, determination of cutter location point (CLP), error compensation and interference detection, can be minutely explained in this section. To conveniently describe the relative locations and the geometries of the workpiece and the diamond tool, the workpiece coordinate system o W - x W y W z W and the tool coordinate system o T - x T y T z T are respectively established, as shown in Figure 1.
In general, the workpiece and the diamond tool are described in the workpiece and tool coordinate systems, respectively. In the workpiece coordinate, the primary surface can be described as z W = f ( x W , y W ) . In the turning process, the workpiece also can be described in the cylindrical coordinate system, and the primary surface can be expressed as:
x W = ρ W cos φ W y W = ρ W sin φ W z W = g W ( x W , y W )
where ρ W denotes the distance between primary surface point and spindle centres, and φ W is corresponding spindle rotating angle.

3.1. Cutter Location Point Determination

Assume that the nose radius and the rake angle of the diamond tool are respectively R T and γ 0 , the used tool edge can be described in the spherical coordinate by:
x T = R T cos θ y T = R T sin θ sin γ 0 , θ [ θ m i n , θ m a x ] z T = R T sin θ cos γ 0
where θ m i n and θ m a x are the lower and upper angle boundary of the cutting edge. To calculate the distance between tool edge and machined surface, the tool edge is uniformly discretized into ( N 0 + 1 ) points. The m-th point at the edge is P T m ( x T m , y T m , z T m ) , and the corresponding tangent vector can be expressed as:
T m = ( x T θ , y T θ , z T θ ) | θ = θ m θ m = θ m i n + ( θ m a x θ m i n ) ( m 1 ) N 0 , m = 1 , 2 , 3 ( N 0 + 1 )
Since the spindle speed is constant in the turning process, the rotational angle of spindle also can be uniformly discretized into N S points. In the cylindrical coordinate, the l-th point in the k-th revolution of spindle can be expressed as:
φ k , l = 2 π ( k + l 1 N S ) ρ k , l = ρ m a x φ k , l f 2 π + x F T S
where ρ k , l is the workpiece radius, and f is the feed per revolution of lathe. x F T S denotes the x-axis tool servo motion, the determination of which will be detailedly explained in Section 4. Via the rotation transformation, the m-th tool edge point P T m can be described in the workpiece coordinate by:
x k , l m y k , l m z k , l m = cos φ k , l sin φ k , l 0 sin φ k , l cos φ k , l 0 0 0 1 x T m + Δ ρ k , l y T m z T m + R T
where
Δ ρ k , l = ρ m a x ρ k , l
The normal vector of the primary surface at the projection of the m-th point at the edge can be expressed by:
V m k , l = ( f W x , f W y , 1 ) | x = x m k , l , y = y m k , l
Assume that the tool is located at the CLP, then the cutting edge should be tangential to the primary surface. Therefore, the tangent vector of the cutter contact point (CCP) should be perpendicular to the normal vector of its projection on the primary surface, and the CCP can be approximatively determined by:
P C k , l : = a r g P T m m i n { | V m k , l T m | , m } .
On this basis, the determination of CLP can be regarded as calculating the minimum distance between tool edge discrete point P T and corresponding profile on the primary surface which is projected along the z W -axis. Therefore, the l-th CLP in the k-th revolution of spindle can be described as:
x C L P k , l = ρ k , l cos ϕ k , l y C L P k , l = ρ k , l sin ϕ k , l z C L P k , l = f W ( x k , l , y k , l ) z T C + R T

3.2. Tool Setting Error Compensation

Different from the ideal situation, there are often tool setting errors along the x- and y-axis directions in the actual machining process. As shown in Figure 2, due to the angle discrepancy α , the tool setting error will lead to the distortion of micro/nano-structure. Thus, the error compensation is essential for obtaining a high-precision surface. By means of the ultra-precision lathe with the slow tool servo (STS), the x-axis tool setting error can be readily eliminated. As for the y-axis error, the x-axis tool motion x F T S needs to be tuned for countering the effect of angle discrepancy α .
Compared to the ideal situation, the compensated tool motion should be hysteretic, and the Equation (1) can be written as:
x F T S e = A sin [ ( c α ) n ]
with
α = arcsin e y ρ k , l
where e y is the tool setting error in y-axis direction. Note that the angle discrepancy α indirectly causes the location error e x in the x-axis direction, and the location error e x can be calculated as:
e x = ρ k , l cos α ρ k , l
To counter the x-axis location error e x , Equation (14) should be written as:
x F T S e = A sin [ ( c α ) n ] + e x .
Substituting x F T S e to Equation (8), the generated toolapth can avoid the surface topography error caused by the tool setting error.

3.3. Tool-Workpiece Interference Detection

The tool interference will result in overcut and tool damage. To obtain high-precision machined surface, the interference detection should be employed in the toolpath determination. When the tool move between adjacent CLPs, the x- and y-axial tool displacements can be approximatively expressed as:
x d = ρ k , l ρ k , l 1 y d = 2 π N S ρ k , l 1
In order to avoid the machining interference, the angle between the cutting velocity and the y-axis should be less than the tool clearance angle. Therefore, the tool clearance angle κ needs to meet:
κ max a r c t a n ( ρ k , l ρ k , l 1 2 π ρ k , l 1 N S ) , k , l
When total CLPs meet Equation (19), the generated toolpath can be applied in the actual machining.
Based on the above discussion, the toolpath determination algorithm for the developed turning method can be indicated in Figure 3. The tool setting error compensation is first carried out by delaying the x-axis motion. Then the CLP coordinate can be respectively confirmed via calculating the minimum distance between tool edge discrete point and its corresponding profile on the primary surface. After obtaining all CLP coordinates, the interference detection is performed to ensure that there is no interference between the diamond tool and workpiece.

4. Numerical Simulation

Surface simulation is an effective way for predicting the surface topography and verifying the toolapth feasibility. Taking advantage of numerical count software, the desired toolpath and the machined surface can be simulated through the formulas derived in Section 2 and Section 3. To definitely demonstrate the effects of machining parameters on the secondary structures, the surfaces fabricated by three kinds of parameter combinations are simulated in this section. According to the discussion in Section 2, the core of forming the secondary structure is controlling the toolpath spacing via amplitude and period of the x-axis motion. Only when the amplitude of the x-axis motion and the phase difference between adjacent toolpaths are, respectively f / 2 and π , the toolpaths are tangent. Considering the performances of lathe and self-designed FTS, the machining and x-axis motion parameters listed in Table 1 and Table 2 were used in the simulation to generate different modes of toolpaths. In addition, the availability of error compensation in the toolpath determination is also verified via the comparison between non-compensated and compensated toolpaths.

4.1. Prediction of Toolpath and Surface Topography

As shown in Figure 4, there are three modes of toolpaths generated by the method proposed in this paper, including non-contact-, contact- and cross-modes. As for the non-contact-mode toolpath shown in Figure 4a, zero phase difference between adjacent toolpaths leads to the toolpath spacing identically equal to the value of f, and the variation of amplitude A cannot change the scallop height. Thus, the non contact-mode toolpath can be used in the fabrication of sinusoidal textures shown in Figure 5a. If the feed per revolution f is large enough to generate the desired scallop height, the non contact-mode toolpath also can fabricate micro/nano-channel. Assume that the phase difference between adjacent toolpaths is not zero, the amplitude A smaller than f / 2 still can generate the non-contact-mode toolpath with varying spacing.
In Figure 4b, the keys of generating the contact-mode toolpath are the phase difference π between adjacent toolpath and the amplitude A exactly equal to f / 2 . Under this parameter combination, the width w depends on the amplitude A and the feed per revolution f, while the length l is decided together by the coefficient n and the distance between the structure and spindle centers. If the amplitude A is larger than f / 2 , the adjacent toolpaths will cross each other and generate the toolpath shown in Figure 4c. Although the cross-mode toolpath also can fabricate the hierarchical surface like Figure 5c, the formed secondary structures are non-uniform, and the structure geometry control is more complicated than the contact-mode toolpath. In contrast, the secondary structures fabricated by the contact-mode toolpath in Figure 5b are more unified, the size of which can be controlled as the method described in Section 2.
According to the above simulation results, to obtain the desired secondary structures mode, the x-axis tool servo motion should be modulated and adapt to the lathe motion. The phase difference of adjacent toolpaths decided by the coefficient n and the compatibility between the amplitude A and the feed per revolution f have a significant impact on the secondary structure mode. Besides, the lathe and FTS motions should be synchronized updated to achieve the desired secondary structure size. Otherwise, the secondary structures may change dramatically. For all the toolpath modes, the cutting radius decreases with the cutting time, resulting in the change of secondary structures size under constant machining parameter combination. Using a large cutting radius and small feed per revolution can minimize the variation of secondary structures size.

4.2. Prediction of Compensated Toolpath

For the lathe without multi-axial FTS, the tool setting error is hardly avoided in the machining process. Thus, the error compensation should be employed in the toolpath determination. Assume that the tool setting error e y is 10 μm, the non-compensated and compensated contact-mode toolpaths are shown in Figure 6. Obviously, the tool setting error leads to the deviation of the theoretical toolpath, while the compensated toolpath can achieve better position accuracy. The deviation caused by the tool setting error e y can be divided into two parts including the angle discrepancy α and the location error e x . The angle discrepancy α is the leading cause resulting in the deviation, so the hysteretic x-axis motion can effectively improve the position accuracy. Compared with the angle discrepancy α , the effect of location error e x on the toolpath is tiny. Whereas, when the cutting radius decreases with the cutting time, the location error e x increases significantly. For the fabrication of large-area hierarchical surface, the compensation of location error e x should be interpolated into the tool motion to further improve the position accuracy.

5. Experiment Results and Discussion

As shown in Figure 7a, via a four-axis ultra-precision lathe (Moore Nanotech 350FG, USA) with self-designed tri-axial FTS [30], one machining experiment was performed to verify the validity of the proposed method. The loopshaping tuned PID controller with a feedforward compensator and a damping controller are employed in FTS to improve the trajectory tracking accuracy. Through the closed-loop control, the planar and vertical following errors of FTS are about ±1.29% and ±1.23% for tracking harmonics with frequencies of 20 Hz and 50 Hz, respectively. Since the toolpaths similar to non-contact- and cross-modes have been reported in Ref. [24], only the contact-mode toolpath was used in the experiment. According to Section 4, the amplitude A should be equal to f / 2 , and the phase difference between adjacent toolpaths should be π . Thus, the machining parameters listed in Table 3 finally were employed in the experiment. Besides, as listed in Table 4, the radius of used diamond tool is 20 μm, and the cylindrical copper part was clamped on the air-bearing spindle via the vacuum chuck.
After cutting, the part of the generated hierarchical surface shown in Figure 7b were captured by the Optical Surface Profiler (Zygo Nexview). In Figure 7c,d, the blue and red curves denote the profiles of machined surface and designed primary surface, respectively. According Figure 7b,c, the fusiform secondary structures are successfully formed on the primary surface. Since the cutting radius is about 1 mm, the theoretical and formed structure sizes can be listed in Table 5. Compared the theoretical values calculated as Equations (2)–(4), the errors of length, width and height respectively are 5.79%, 4.25% and 7.18%. There are many inevitable factors having the capacity to affect the experiment result, like material plastic deformation, FTS motion and measurement errors. The copper is softer material easily causing plastic deformation especially on the re-cutting area, resulting in that residual materials of structure ends are hardly captured. The noise also has significant impacts on the FTS accuracy. In addition, the primary surface used in the experiment is the sinusoidal surface, resulting in some measurement errors. Considering the above factors, there is actually a good agreement between the desired and experimental hierarchical surfaces. Therefore, the experiment results indicate that the method proposed in this paper is effective.

6. Conclusions

A dual-axial tool servo diamond turning is developed in this paper for fabricating hierarchical micro-nano-structured surfaces. Through adopting an additional x-axis tool motion with the z -axis motion, the primary complex surface with superimposition of the secondary micro/nano-structures can be generated simultaneously. The main conclusions are drawn as follows:
(a)
The toolpath determination algorithm is developed for the dual-axial tool servo diamond turning with compensation for the tool geometry. Furthermore, considering the tool setting error, a compensation strategy for the setting error is also included with further verification through the numerical simulation.
(b)
The simulation results for surface generation suggests that the modulated machining parameters have the capacity to create secondary nanostructures with a variety of special features and sizes. When the phase difference between adjacent toolpaths is zero, the spacing between two adjacent nano-structure will be constant. With a phase difference of π , an amplitude A of f / 2 will lead to a contact-mode cutting. Meanwhile, an amplitude larger than, namely A > f / 2 , the toolapth will be crossed and generate non-uniform structures.
(c)
A hierarchical micro-nano-structured surface is practically turned, and a kind of fusiform secondary structures are formed on the primary surface. The length, width, and height of the secondary structure are, respectively, about 187.24 μm, 16.68 μm, and 1.55 μm. Compared with the theoretically predicted values, a maximum deviation of less than 7.2% is obtained.

Author Contributions

X.P.: methodology, formal analysis, data curation, investigation, writing—original draft preparation. Z.Z. (Zihui Zhu), L.C. and P.H.: methodology, validation, data curation. Y.W.: writing—review and editing. Z.Z. (Zhiwei Zhu): conceptualization, supervision, writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the State Key Laboratory of Digital Manufacturing Equipment and Technology (DMETKF2020017). National Natural Science Foundation of China (U2013211).

Data Availability Statement

Data available on request due to restrictions eg privacy or ethical.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Liang, Y.; Qin, H.; Mehra, N.; Zhu, J.; Yang, Z.; Doll, G.L.; Ye, C.; Dong, Y. Controllable hierarchical micro/nano patterns on biomaterial surfaces fabricated by ultrasonic nanocrystalline surface modification. Mater. Des. 2018, 137, 325–334. [Google Scholar] [CrossRef]
  2. Li, C.; Yang, L.; Liu, N.; Yang, Y.; Zhao, J.; Yang, P.; Cheng, G. Bioinspired surface hierarchical microstructures of Ti6Al4V alloy with a positive effect on osteoconduction. Surf. Coat. Technol. 2020, 388, 125594. [Google Scholar] [CrossRef]
  3. Fu, Y.; Zhao, Z.; Yip, W.; To, S. Novel fabrication of a hierarchical structured surface with improved corrosion inhibition by using hydrothermal synthesis and ultraprecision machining. Surf. Coat. Technol. 2020, 385, 125432. [Google Scholar] [CrossRef]
  4. Hu, S.; Reddyhoff, T.; Puhan, D.; Vladescu, S.C.; Shi, X.; Dini, D.; Peng, Z. Droplet manipulation of hierarchical steel surfaces using femtosecond laser fabrication. Appl. Surf. Sci. 2020, 521, 146474. [Google Scholar] [CrossRef]
  5. El-Khoury, M.; Alamri, S.; Voisiat, B.; Kunze, T.; Lasagni, A.F. Fabrication of hierarchical surface textures using multi-pulse direct laser interference patterning with nanosecond pulses. Mater. Lett. 2020, 258, 126743. [Google Scholar] [CrossRef]
  6. Jheng, Y.S.; Lee, Y.C. Fabrication of micro/nano hierarchical structures with analysis on the surface mechanics. Appl. Surf. Sci. 2016, 384, 393–399. [Google Scholar] [CrossRef]
  7. He, Z.; Luo, S.; Liu, C.; Jie, X.; Lian, W. Hierarchical micro/nano structure surface fabricated by electrical discharge machining for anti-fouling application. J. Mater. Res. Technol. 2019, 8, 3878–3890. [Google Scholar] [CrossRef]
  8. Díaz-Tena, E.; Rodríguez-Ezquerro, A.; López de Lacalle Marcaide, L.; Gurtubay Bustinduy, L.; Elías Sáenz, A. A sustainable process for material removal on pure copper by use of extremophile bacteria. J. Clean. Prod. 2014, 84, 752–760. [Google Scholar] [CrossRef]
  9. Shrestha, R.; Yu, B.; Yang, Q.; Gong, W.; Shen, S. Hierarchical Micro-Nanostructured Surfaces for IsotropicAnisotropic Liquid Transport. Langmuir 2020, 36, 1569–1573. [Google Scholar] [CrossRef]
  10. Zhang, J.; Cui, T.; Ge, C.; Sui, Y.; Yang, H. Review of micro/nano machining by utilizing elliptical vibration cutting. Int. J. Mach. Tools Manuf. 2016, 106, 109–126. [Google Scholar] [CrossRef]
  11. Li, Z.; Fang, F.; Chen, J.; Zhang, X. Machining approach of freeform optics on infrared materials via ultra-precision turning. Opt. Express 2017, 25, 2051–2062. [Google Scholar] [CrossRef] [PubMed]
  12. He, Y.; Zhou, T.; Dong, X.; Liu, P.; Zhao, W.; Wang, X.; Hu, Y.; Yan, J. Generation of high-saturation two-level iridescent structures by vibration-assisted fly cutting. Mater. Des. 2020, 193, 108839. [Google Scholar] [CrossRef]
  13. Liu, Q.; Li, Q.; Zhou, X.; Liu, Z.; Lu, M. Fabrication of anti-reflective surfaces by 3-DOF fast tool servo diamond turning. Int. J. Adv. Manuf. Technol. 2018, 95, 2875–2883. [Google Scholar] [CrossRef]
  14. Yu, D.P.; Hong, G.S.; Wong, Y.S. Profile error compensation in fast tool servo diamond turning of micro-structured surfaces. Int. J. Mach. Tools Manuf. 2012, 52, 13–23. [Google Scholar] [CrossRef]
  15. Huang, P.; Wu, X.; To, S.; Zhu, L.; Zhu, Z. Deterioration of form accuracy induced by servo dynamics errors and real-time compensation for slow tool servo diamond turning of complex-shaped optics. Int. J. Mach. Tools Manuf. 2020, 154, 103556. [Google Scholar] [CrossRef]
  16. Jiang, J.; Luo, T.; Zhang, G.; Dai, Y. Novel tool offset fly cutting straight-groove-type micro structure arrays. J. Mater. Process. Technol. 2021, 288, 116900. [Google Scholar] [CrossRef]
  17. Xu, S.; Shimada, K.; Mizutani, M.; Kuriyagawa, T. Development of a novel 2D rotary ultrasonic texturing technique for fabricating tailored structures. Int. J. Adv. Manuf. Technol. 2017, 89, 1161–1172. [Google Scholar] [CrossRef]
  18. Shamoto, E.; Suzuki, N.; Hino, R. Analysis of 3D elliptical vibration cutting with thin shear plane model. CIRP Ann. 2008, 57, 57–60. [Google Scholar] [CrossRef]
  19. Suárez, A.; Veiga, F.; Lacalle, L.; Polvorosa, R.; Lutze, S.; Wretland, A. Effects of Ultrasonics-Assisted Face Milling on Surface Integrity and Fatigue Life of Ni-Alloy 718. J. Mater. Eng. Perform. 2016, 25, 5076–5086. [Google Scholar] [CrossRef]
  20. Zhang, J.; Suzuki, N.; Wang, Y.; Shamoto, E. Ultra-precision nano-structure fabrication by amplitude control sculpturing method in elliptical vibration cutting. Precis. Eng. 2015, 39, 86–99. [Google Scholar] [CrossRef]
  21. Xu, S.; Shimada, K.; Mizutani, M.; Kuriyagawa, T. Fabrication of hybrid micro/nano-textured surfaces using rotary ultrasonic machining with one-point diamond tool. Int. J. Mach. Tools Manuf. 2014, 86, 12–17. [Google Scholar] [CrossRef]
  22. Chen, W.; Zheng, L.; Xie, W.; Yang, K.; Huo, D. Modelling and experimental investigation on textured surface generation in vibration-assisted micro-milling. J. Mater. Process. Technol. 2019, 266, 339–350. [Google Scholar] [CrossRef]
  23. Guo, P.; Ehmann, K.F. An analysis of the surface generation mechanics of the elliptical vibration texturing process. Int. J. Mach. Tools Manuf. 2013, 64, 85–95. [Google Scholar] [CrossRef]
  24. Yuan, Y.; Zhang, D.; Jing, X.; Zhu, H.; Zhu, W.L.; Cao, J.; Ehmann, K.F. Fabrication of hierarchical freeform surfaces by 2D compliant vibration-assisted cutting. Int. J. Mech. Sci. 2019, 152, 454–464. [Google Scholar] [CrossRef]
  25. Guo, P.; Ehmann, K.F. Development of a tertiary motion generator for elliptical vibration texturing. Precis. Eng. 2013, 37, 364–371. [Google Scholar] [CrossRef]
  26. Wang, J.; Yang, R.; Gao, S.; Weng, F.; Wang, Y.; Liao, W.H.; Guo, P. Modulated vibration texturing of hierarchical microchannels with controllable profiles and orientations. CIRP J. Manuf. Sci. Technol. 2020, 30, 58–67. [Google Scholar] [CrossRef]
  27. Zhu, Z.; To, S.; Tong, Z.; Zhuang, Z.; Jiang, X. Modulated diamond cutting for the generation of complicated micro/nanofluidic channels. Precis. Eng. 2019, 56, 136–142. [Google Scholar] [CrossRef] [Green Version]
  28. Suzuki, N.; Yokoi, H.; Shamoto, E. Micro/nano sculpturing of hardened steel by controlling vibration amplitude in elliptical vibration cutting. Precis. Eng. 2011, 35, 44–50. [Google Scholar] [CrossRef]
  29. Wang, J.; Wang, Y.; Yang, Y.; Yang, R.; Liao, W.H.; Guo, P. Fabrication of structurally colored basso-relievo with modulated elliptical vibration texturing. Precis. Eng. 2020, 64, 113–121. [Google Scholar] [CrossRef]
  30. Zhu, Z.H.; Chen, L.; Niu, Y.; Pu, X.; Huang, P.; To, S.; Zhu, L.; Zhu, Z. Tri-axial Fast Tool Servo Using Hybrid Electromagnetic-Piezoelectric Actuation for Diamond Turning. IEEE Trans. Ind. Electron. 2021, 1. [Google Scholar] [CrossRef]
Figure 1. Dual-axial tool servo diamond turning: (a) Basic principle; (b) Fabricating the secondary structures.
Figure 1. Dual-axial tool servo diamond turning: (a) Basic principle; (b) Fabricating the secondary structures.
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Figure 2. Schematic of the tool setting error compensation.
Figure 2. Schematic of the tool setting error compensation.
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Figure 3. Flow chart for the toolpath determination.
Figure 3. Flow chart for the toolpath determination.
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Figure 4. The toolpath simulations with three kinds of parameters combinations: (a) Non-contact-mode toolpath; (b) Contact-mode toolpath and (c) Cross-mode toolpath.
Figure 4. The toolpath simulations with three kinds of parameters combinations: (a) Non-contact-mode toolpath; (b) Contact-mode toolpath and (c) Cross-mode toolpath.
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Figure 5. The corresponding hierarchical surface simulation:(a) Non-contact-mode surface; (b) Contact-mode surface and (c) Cross-mode surface.
Figure 5. The corresponding hierarchical surface simulation:(a) Non-contact-mode surface; (b) Contact-mode surface and (c) Cross-mode surface.
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Figure 6. The effects of compensation on the toolpath.
Figure 6. The effects of compensation on the toolpath.
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Figure 7. The experiment facility and results: (a) Four-axis ultra-precision lathe with self-designed tri-axial FTS; (b) Machined hierarchical surface; (c) A-A profile; (d) B-B profile.
Figure 7. The experiment facility and results: (a) Four-axis ultra-precision lathe with self-designed tri-axial FTS; (b) Machined hierarchical surface; (c) A-A profile; (d) B-B profile.
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Table 1. The machining parameters used in the simulation.
Table 1. The machining parameters used in the simulation.
s (rpm)f (μm/r) ρ max (μm) R T (μm)
3010600100
Table 2. The x-axis motion parameters used in the simulation.
Table 2. The x-axis motion parameters used in the simulation.
Amplitude A (μm)Coefficient n
11050
2550.5
21050.5
Table 3. The parameters used in the experiment.
Table 3. The parameters used in the experiment.
s (rpm)f (μm/r)A (μm)n
158435.5
Table 4. The workpiece and tool used in the experiment.
Table 4. The workpiece and tool used in the experiment.
Workpiece MaterialTool MaterialTool RadiusRake AngleClearance Angle
CopperDiamond20 μm0 10
Table 5. The secondary structure size fabricated in the experiment.
Table 5. The secondary structure size fabricated in the experiment.
Length l (μm)Width w (μm)Height h (μm)
Theory176.99161.67
Experiment187.2416.681.55
Error5.79%4.25%7.18%
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MDPI and ACS Style

Pu, X.; Zhu, Z.; Chen, L.; Huang, P.; Wang, Y.; Zhu, Z. Dual-Axial Tool Servo Diamond Turning of Hierarchical Micro-Nano-Structured Surfaces. J. Manuf. Mater. Process. 2021, 5, 58. https://doi.org/10.3390/jmmp5020058

AMA Style

Pu X, Zhu Z, Chen L, Huang P, Wang Y, Zhu Z. Dual-Axial Tool Servo Diamond Turning of Hierarchical Micro-Nano-Structured Surfaces. Journal of Manufacturing and Materials Processing. 2021; 5(2):58. https://doi.org/10.3390/jmmp5020058

Chicago/Turabian Style

Pu, Xiaonan, Zihui Zhu, Li Chen, Peng Huang, Yulin Wang, and Zhiwei Zhu. 2021. "Dual-Axial Tool Servo Diamond Turning of Hierarchical Micro-Nano-Structured Surfaces" Journal of Manufacturing and Materials Processing 5, no. 2: 58. https://doi.org/10.3390/jmmp5020058

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