Spherical Mirror and Surface Patterning on Silicon Carbide (SiC) by Material Removal Rate Enhancement Using CO2 Laser Assisted Polishing

Serrano, Pablo Antonio Abrego; Kim, Min‐Cheol; Kim, Dong-Ryul; Kim, Dong‐Hyeon; Kim, Geon-Hee; Ahn, Sung‐Hoon

doi:10.1007/s12541-019-00304-9

Cited by 13 publications

(1 citation statement)

References 21 publications

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“…Li et al 9 used magnetorheological technology to polish the 2m-diameter aspheric SiC mirror, and the surface roughness of the workpiece was reduced from λ/10 RMS to λ/50 RMS, but the polishing efficiency was low. Serrano et al 10 used CO 2 laser-assisted free abrasive polishing to polish SiC mirrors, which improved the polishing efficiency by 43% compared to the conventional polishing method but is currently available only for flat mirrors.…”

Section: Introductionmentioning

confidence: 99%

Research on optimization method of process parameters for SiC components robotic bonnet polishing

Huang

Wang

Shen

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Silicon carbide (SiC) materials are widely used in the fields of advanced optics, such as SiC mirrors. To improve the polishing efficiency and surface quality of SiC components, reduce the cost of polishing equipment and shorten the production cycle, a robotic bonnet polishing (RBP) technology based on industrial robots was proposed. To obtain the global optimal parameters, a regression orthogonal experiment was designed by using the response surface methodology (RSM). The material removal model capturing the main process parameters was established successfully. The predicted optimal process parameters were verified by experiments. Under the optimal process parameters, the predicted material removal rate (MRR) is 0.0543 mm³/min , with an error of 9.8%. The relationship between main process parameters and surface roughness (RMS) was established by the support vector machine (SVM), and the predicted optimal value is 8.58 nm, with an error of 10.26%. Thus, the precise and controllable polishing of SiC components can be realized by RBP technology.

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Section: Introductionmentioning

confidence: 99%

Research on optimization method of process parameters for SiC components robotic bonnet polishing

Huang

Wang

Shen

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Shear Thickening Polishing of Black Lithium Tantalite Substrate

Lyu

Shao

Hang

et al. 2020

Int. J. Precis. Eng. Manuf.

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Appropriate Smart Factory for SMEs: Concept, Application and Perspective

Jung

Kim

Lee

et al. 2020

Int. J. Precis. Eng. Manuf.

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In the manufacturing industry, the smart factory is considered the final stage of the Fourth Industrial Revolution. Manufacturing companies are pursuing breakthroughs by introducing various advanced technologies to ensure their competitiveness. However, it is difficult for small and medium-sized enterprises (SMEs) to adopt smart-factory technologies, owing to financial and technical burdens. This paper proposes a smart factory that can be applied technically and strategically to the introduction of a smart factory for SMEs. The concept of an ‘appropriate smart factory’ involves applying appropriate measures in terms of cost and scale with consideration of the situations faced by SMEs. The goal is to build a smart factory that has necessary functions (Essential) but can be easily operated (Simple) at a low cost (Affordable) and has compatibility (Interoperable). This paper presents technical application measures such as appropriate smart sensors, appropriate IoT (Internet of Things), and small data processing, along with the definition of an appropriate smart factory. In addition, a case study was examined where the quality inspection equipment for garment manufacturing SMEs was developed by applying the appropriate smart factory concept.

show abstract

Spherical Mirror and Surface Patterning on Silicon Carbide (SiC) by Material Removal Rate Enhancement Using CO2 Laser Assisted Polishing

Cited by 13 publications

References 21 publications

Research on optimization method of process parameters for SiC components robotic bonnet polishing

Research on optimization method of process parameters for SiC components robotic bonnet polishing

Shear Thickening Polishing of Black Lithium Tantalite Substrate

Appropriate Smart Factory for SMEs: Concept, Application and Perspective

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