Investigation of the optimal parameters for the surface finish of K9 optical glass using a soft abrasive rotary flow polishing process

Zhao, Jun; Huang, Jinfeng; Wang, Rui; Peng, Haoran; Hang, Wei; Ji, Shiming

doi:10.1016/j.jmapro.2019.11.011

Cited by 64 publications

(22 citation statements)

References 25 publications

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“…Unfortunately, the improvement of the surface quality of PDCs has not been extensively focused upon. To date, a variety of ultra-precision polishing methods such as uid polishing [6,7], electrochemical polishing [8], and chemical-mechanical polishing (CMP) have been applied to obtain high-quality defect-free ceramic surfaces [5,9]. Among them, CMP is considered to be a powerful fabrication technology for removing material by combining chemical and mechanical action together, leading to the achievement of global planarization and ultra-smooth surfaces with no defects [5,10].…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Ultra-Precision Polishing Method of Polymer-Derived Amorphous SiAlCN Ceramics

Chen

Cao

Wang

2020

Preprint

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The amorphous and heterogeneous microstructures of polymer-derived ceramics (PDCs) make it challenging to uniformly polish them without the appearance of obvious polishing defects. In this study, the surface characteristics of polymer-derived silicoaluminum carbonitride (SiAlCN) ceramics were investigated after mechanical polishing and chemical–mechanical polishing (CMP). The results showed the generation of polishing defects including scratches, pits, and comet tails after mechanical polishing; nonetheless, the surface quality was largely improved after CMP, providing an ultra-smooth surface (Ra = ~0.25 nm). The evolution of the surface morphology was characterized in detail and X-ray photoelectron spectroscopy was used to analyze the characteristics of chemical bond before and after the CMP. The polishing slurry dominated the corrosion process during CMP, inducing the oxidation of the SiCxNy phase; nonetheless, the so-formed oxidation products and carbon phase were removed by mechanical action. The obtained ultra-high smooth surface can promote practical application in the field of PDCs-based sensors.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Ultra-Precision Polishing Method of Polymer-Derived Amorphous SiAlCN Ceramics

Chen

Cao

Wang

2020

Preprint

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“…where n is strain hardening exponent, ρw is cutter material density, Cp-w and Tm are the specific heat and melting point respectively of the abrasive and C is constant which has a value of about 0.5 for many typical metals, as reported by [41]. The drag finishing is a typical equipment for preparing the cutting edge of round bar tools and workpiece polishing as reported by [42]- [43]. The complexity of solid particle abrasion relies on its rotational movement in fixed barrel and the material removal depends on normal and oblique action.…”

Section: Analysis Of Abrasion Mechanismmentioning

confidence: 99%

Analysis of abrasives on cutting edge preparation by drag finishing

Wang

et al. 2022

Int J Adv Manuf Technol

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Cutting edge preparation has become more important for tool performance. The micro-shape, radius and surface topography of the cutting edge plays a significant role in the machining process. The cutting edge of solid carbide end mills have some micro-defects after grinding. For eliminating aforementioned problem, this study investigates drag finishing (DF) preparation for solid carbide end mills reconstruct cutting edge micro-geometry. This paper is to present the design of DF experimental set-up and analysis the characterization of various abrasive media (K3/600, K3/400, HSC 1/300 and HSO 1/100) on the evolution of the surface /roughness along the cutting edge. In parallel, the mechanism of material removal and the kinematics trajectory of the drag finishing are presented. In fact, the form factor (also called as "K-factor") of the cutting edge micro-geometry is quantified. Comparing with four lapping media, the higher material removal rate (MRR) and the lower surface roughness are obtained by HSO 1/100 abrasive process. The results show that the cutting edge K-factor, MRR and surface topography are influenced by the abrasive particles size, composition and process time. The cutting edge micro-geometry is measured through Scanning Electron Microscopy (SEM) and 3D Optical measuring instrument.

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“…proposed a detection system that uses a laser as a scanning light source, a 12-sided reflective prism and a cylindrical mirror as an optical system, and a photomultiplier tube to receive the detection system [4,5]. Liu et al proposed the theory of eddy current testing and successfully used eddy current testing technology to detect metal barium, which opened up the research boom of eddy current testing in the application of metal surface defect detection [6].…”

Section: Introductionmentioning

confidence: 99%

Key Technologies of Steel Plate Surface Defect Detection System Based on Artificial Intelligence Machine Vision

Xue

2021

Wireless Communications and Mobile Computing

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With the rapid development of visual inspection technology, computer technology, and image processing technology, machine vision technology has become more and more mature, and the role of quality inspection and control in the steel industry is becoming more and more obvious and important. Defects on the surface of the strip are a key factor affecting the quality inspection process. Its inspection plays an extremely important role in improving the final quality. For a long time, traditional manual inspection methods cannot meet actual production needs, so in-depth research on steel surface defect inspection systems has become the consensus of today’s steel companies. The accuracy and low performance of traditional detection methods can no longer meet the needs of people and society. The surface defect detection method based on machine vision has the characteristics of high accuracy, fast processing speed, and intelligent processing, which is the main trend of surface defect detection. We select a steel plate; take the invariant moment features of the cracks, holes, scratches, oil stains, and other images on it; extract the data results; and analyze them. Then, we read the texture features of these defect images again, extract the data results, and analyze them. The experimental results prove that after the mean value filter and Gaussian filter process the image, the mean variance value MSE is relatively large ( 46.276 > 31.2271 ), and as the concentration of salt and pepper noise increases, the rate of increase of MSE increases obviously, and as the peak signal-to-noise ratio and the mean variance value MSE increase continuously ( 32.2271 < 33.3695 ), the image distortion is more serious. The method designed in this paper is extremely effective. Improving the surface quality of steel is of great significance to improving market competitiveness.

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Investigation of the optimal parameters for the surface finish of K9 optical glass using a soft abrasive rotary flow polishing process

Cited by 64 publications

References 25 publications

WITHDRAWN: Ultra-Precision Polishing Method of Polymer-Derived Amorphous SiAlCN Ceramics

WITHDRAWN: Ultra-Precision Polishing Method of Polymer-Derived Amorphous SiAlCN Ceramics

Analysis of abrasives on cutting edge preparation by drag finishing

Key Technologies of Steel Plate Surface Defect Detection System Based on Artificial Intelligence Machine Vision

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Investigation of the optimal parameters for the surface finish of K9 optical glass using a soft abrasive rotary flow polishing process

Cited by 64 publications

References 25 publications

WITHDRAWN: Ultra-Precision Polishing&nbsp;Method&nbsp;of&nbsp;Polymer-Derived&nbsp;Amorphous SiAlCN Ceramics

WITHDRAWN: Ultra-Precision Polishing&nbsp;Method&nbsp;of&nbsp;Polymer-Derived&nbsp;Amorphous SiAlCN Ceramics

Analysis of abrasives on cutting edge preparation by drag finishing

Key Technologies of Steel Plate Surface Defect Detection System Based on Artificial Intelligence Machine Vision

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WITHDRAWN: Ultra-Precision Polishing Method of Polymer-Derived Amorphous SiAlCN Ceramics

WITHDRAWN: Ultra-Precision Polishing Method of Polymer-Derived Amorphous SiAlCN Ceramics