Ultra-precision machining of a large amplitude umbrella surface based on slow tool servo

Ning, Peixing; Zhao, Ji; Ji, Shijun; Li, Jingjin; Dai, Handa

doi:10.1007/s12541-020-00401-0

Cited by 11 publications

(3 citation statements)

References 19 publications

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“…Benefiting by the high stability of single-point diamond lathe, the surface shape error of the turned workpiece has a high degree of repeatability, which has been repeatedly verified in previous machining experiments. This character provides the feasibility for compensating turning technology, with the prerequisite of the unchanged surface shape parameters (machining path) and diamond tool [12]. "M" shape in this paper opposite to the "W" shape of the error curve.…”

Section: Resultsmentioning

confidence: 96%

Single point diamond turning of aspherical surface with high precision assisted by ion beam figuring

Wang¹,

Xu²,

Meng³

2023

Advanced Fiber Laser Conference (AFL2022)

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High precision infrared lens is of great demand nowadays, especially in the area of remote sensing. The traditional optical machining method couldn't satisfy the processing requirements neither in efficiency nor in quality. Therefore, a novel processing method was used in this paper in order to realize the concave aspherical surface in germanium (Ge) infrared lens with high accuracy. Single point diamond turning technique was first applied for the rapid promotion of surface figure accuracy of the rough machined lens. According to the measurement data obtained by non-contact profile scanning, the shape error in low and middle frequency was figured with compensation processing technology. The value of root mean square (RMS) was constrained within 1/20λ at this stage. As for the residual shape error of high frequency, ion beam deterministic figuring, instead of manual operation, was employed for its high predictability and accuracy. The final RMS of this concave aspherical surface in diameter of 69 mm was improved to 1/30λ based on the above method. Meanwhile, the deviation of vertex radius of curvature was precisely controlled within 0.5 μm, which was far beyond the design requirements by an order of magnitude. The results in this paper have demonstrated that single point diamond turning of infrared lens assisted with ion beam figuring was of unique superiority both in accuracy and efficiency, which has great potential in manufacturing of astronautic optical components.

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Section: Resultsmentioning

confidence: 96%

Single point diamond turning of aspherical surface with high precision assisted by ion beam figuring

Wang¹,

Xu²,

Meng³

2023

Advanced Fiber Laser Conference (AFL2022)

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“…An aerostatic bearing spindle (ABS) is an important part in ultra-precision machine tools, and its dynamic performance plays a major role in the workpiece surface quality directly, which mainly causes mid-spatial waviness errors on workpiece surface topography. Ning et al [ 2 ] designed a large amplitude umbrella surface using a slow tool servo (STS) of SPDT, and obtained the micro-nano structure of the workpiece surface. As micro-nano surface shows many excellent characteristics in optics, biology, and so on, the ultraprecision technology has been applied to various fields [ 3 , 4 , 5 , 6 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Investigation on the Micro Cutting Mechanism and Surface Topography Generation in Ultraprecision Diamond Turning

Chen

Liu³

et al. 2022

Micromachines

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Revealing forming mechanism of workpiece surface topography plays an important role in improving ultraprecision turning. In this paper, the forming mechanism of the turning workpiece surface topography is analyzed and verified by the theoretical simulation and experiment respectively. First, the factors directly related to the turning process are analyzed, and a volumetric error model is built and discussed, which considered geometric errors, tool geometry, spindle vibrations, feed rate, cut depth, and feed system position change. The vibration mechanism and laws of the spindle system under multi-field coupling is analyzed, and the effect of the spindle axial vibration on the turning surface topography is studied. In addition, influence of coupled vibrations on the turning surface texture is analyzed, and an equivalent machining model is constructed to identify crucial geometric errors of the workpiece surface topography. Finally, a homemade ultraprecision machine tool system is built and used for turning the workpiece surface, and the tested results of the surface topography demonstrate Ra is better, 10 nm and Rv is better, 20 nm. The end face of the workpiece forms periodically fluctuating wave and ripple patterns, and the comparison between theoretical analysis and experimental detection of the surface topography is verified.

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“…Prediction of the machine part's surface roughness is significant because it helps the manufacturer and the end-users achieve sustainable output during cutting operations. Also, surface roughness affects the fatigue life the components[28].…”

mentioning

confidence: 99%

Comparative study of surface roughness prediction using neural-network and quadratic-rotatable-central-composite-design

Okokpujie

Tartibu

2023

IJ-AI

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The act of sustainable manufacturing lies in the response's prediction analysis, such as surface roughness during machining operations with nano-lubricant. This research focuses on developing a mathematical model to predict the experimental results of surface roughness of AA8112 alloys obtained during the end-milling process with an eco-friendly nano-lubricant. The study employed vegetable oil as the base cutting fluid (copra oil) and Titanium-dioxide (TiO2) nanoparticles as an additive. The end-milling machining was carried out with five machining parameters. The prediction analysis was done with a backpropagation feed-forward neural network (BPNN) and quadratic rotatable central composite design (QRCCD). The results show that the BPNN predicted the experimental results with 99.85%, and the QRCCD predicted 91.1%. The error percentage from both prediction analyses is 0.2% from the BPNN and 0.9% from the QRCCD. Therefore, the application of BPNN has proven viable in predicting surface roughness in machining operations. It will also improve the manufacturing industry's productivity and eliminate the high rate of waste materials during machining.

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Ultra-precision machining of a large amplitude umbrella surface based on slow tool servo

Cited by 11 publications

References 19 publications

Single point diamond turning of aspherical surface with high precision assisted by ion beam figuring

Single point diamond turning of aspherical surface with high precision assisted by ion beam figuring

Investigation on the Micro Cutting Mechanism and Surface Topography Generation in Ultraprecision Diamond Turning

Comparative study of surface roughness prediction using neural-network and quadratic-rotatable-central-composite-design

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