Prediction of Surface Roughness of Abrasive Belt Grinding of Superalloy Material Based on RLSOM-RBF

Liu, Ying; Song, Shayu; Zhang, Youdong; Li, Wenyuan; Xiao, Guijian

doi:10.3390/ma14195701

Cited by 12 publications

(9 citation statements)

References 25 publications

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“…In the investigation of microchips generated during the lapping film finishing process, examinations were conducted directly on the abrasive tool surface after the completion of the process (see Figures 5,[6][7][8][9][10][11]. Due to the non-conductive nature of the abrasive tool surface, which is crucial for obtaining sharp images at high magnifications during electron microscope measurements, and considering that the chips are of micro and nanometric dimensions, graphs of the microchips at high magnifications (see Figures 7 and 8) were captured on the double-sided carbon tape surface.…”

Section: Research On Microchips Lapping Film Finishing Productsmentioning

confidence: 99%

“…After use, the worn-out film is wound onto a roller, which simultaneously serves as a driving roller. This single-use feature distinguishes this method from processes utilizing endless [5] abrasive belts [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…wound onto a roller, which simultaneously serves as a driving roller. This single-use feature distinguishes this method from processes utilizing endless [5] abrasive belts [6,7]. The article focuses on the investigation of a technology utilizing lapping film in the surface smoothing process, where this film moves at a velocity denoted as vt. A distinctive feature of this process is that the object undergoing treatment moves significantly faster at a velocity denoted as vw than the tool used in the finishing process.…”

Section: Introductionmentioning

confidence: 99%

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Morphology of Microchips in the Surface Finishing Process Utilizing Abrasive Films

Tandecka,

Kacalak,

Wiliński

et al. 2024

Materials

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In this study, the surface of new lapping films was analyzed, and the lapping finishing process was applied to RG7 tin bronze alloy. The research focused on examining lapping films with electrocorundum grains of nominal sizes 30, 12, and 9 μm, commonly used for achieving smooth surfaces. The manufacturing process involves placing abrasive grains and binder onto a polyester tape, resulting in a heterogeneous distribution of abrasive grains. The study investigates the impact of this random distribution on the performance of lapping films during material removal. Scanning electron microscopy was used to analyze the surface structure of abrasive films, revealing distinctive structures formed by the specific aggregation of abrasive grains. This study explores the influence of different nominal grain sizes on surface finish and aims to optimize lapping processes for diverse applications. The research also delves into microchip analysis, examining the products of the lapping film finishing process. Microchips were observed directly on the abrasive tool surface, revealing insights into their morphology and distribution. The chip segmentation frequency was determined, and they amounted to approximately 0.8 to 3 MHz; these are very high frequencies, which are unique for known chip-forming processes.

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Section: Research On Microchips Lapping Film Finishing Productsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Morphology of Microchips in the Surface Finishing Process Utilizing Abrasive Films

Tandecka,

Kacalak,

Wiliński

et al. 2024

Materials

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show abstract

“…As one kind of artificial intelligence-based approach, GRNN is a special form of radial basis function neural network [ 32 , 33 , 34 , 35 , 36 ], and has been widely applied to many fields [ 37 , 38 , 39 ]. Compared with the current popular feedforward neural network, it has a number of advantages.…”

Section: Introductionmentioning

confidence: 99%

Parameters Identification of Rubber-like Hyperelastic Material Based on General Regression Neural Network

Hou

Zhang

et al. 2022

Materials

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In this study, we present a systematic scheme to identify the material parameters in constitutive model of hyperelastic materials such as rubber. This approach is proposed based on the combined use of general regression neural network, experimental data and finite element analysis. In detail, the finite element analysis is carried out to provide the learning samples of GRNN model, while the results observed from the uniaxial tensile test is set as the target value of GRNN model. A problem involving parameters identification of silicone rubber material is described for validation. The results show that the proposed GRNN-based approach has the characteristics of high universality and good precision, and can be extended to parameters identification of complex rubber-like hyperelastic material constitutive.

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“…Conclusions came from the resent investigations on the features of abrasive tools [3,8,19,20], process kinematics [21], the influence of the processed material properties on the process results [22][23][24][25][26] and cutting fluid [9,27]. In the assumptions for the new method, the developed methodology of process monitoring [28,29], a thorough analysis of the properties of abrasive tools [30][31][32], and the topography of the treated surfaces [33] were used. The results of the simulations described in the works [34,35] were used into account which showed that in the recent period of application of grinding processes, they even extended to the nanometric scale.…”

Section: Introductionmentioning

confidence: 99%

A Method and Device for Automated Grinding of Small Ceramic Elements

et al. 2021

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The paper describes an automated method for grinding small ceramic elements using a hyperboloid wheel. The problem of automating the process of machining elements made of nonmagnetic materials with a small area and low height has been solved. Automation of the grinding process was possible thanks to automatic clamping of workpieces in the machining zone and sequential processing by a specified number of grinding wheels. The workpieces were passed through successive machining zones. The division of the allowance of individual grinding wheels was made taking into account the characteristics of the workpieces and the requirements for the results of the machining. Obtaining a long grinding zone and the effect of automatic clamping of the workpieces was possible due to the inclination of the grinding wheel axis in relation to the plane of movement of the workpieces. Innovative aggregate grinding wheels were used for grinding. The aggregates containing diamond abrasive grains, connected with a metal bond, were embedded in the porous structure of the resin bond. The aggregates ensured high efficiency of grinding, and their developed surface contributed to good holding in the resin binder. The durability of grinding wheels was 64 h, which enables the machining of 76,000 ceramic elements.

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Prediction of Surface Roughness of Abrasive Belt Grinding of Superalloy Material Based on RLSOM-RBF

Cited by 12 publications

References 25 publications

Morphology of Microchips in the Surface Finishing Process Utilizing Abrasive Films

Morphology of Microchips in the Surface Finishing Process Utilizing Abrasive Films

Parameters Identification of Rubber-like Hyperelastic Material Based on General Regression Neural Network

A Method and Device for Automated Grinding of Small Ceramic Elements

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