Experimental Characterization of Electroplated CBN Grinding Wheel Wear: Topology Evolution and Interfacial Toughness

2014 ◽  
Author(s):  
Tianyu Yu ◽  
Ashraf F. Bastawros ◽  
Abhijit Chandra
Keyword(s):  
Grinding Wheel ◽  
Activation Process ◽  
Time To Failure ◽  
Wheel Surface ◽  
Wheel Wear ◽  
Modeling Framework ◽  
Topological Evolution ◽  
Pull Out ◽  
Topological Features ◽  
Cbn Grinding Wheel

The wear rate of a grinding wheel directly affects the workpiece surface integrity and tolerances. This paper summarizes a combined experimental-modeling framework for life cycle prediction of an electroplated Cubic Boron Nitride (CBN) grinding wheel, typically utilized in nickel-based superalloy grinding. The paper presents an experimental framework to facilitate the formulation of a micro-mechanics based modeling framework. The presented work investigates the topological evolution of the grinding wheel surface and mechanisms of grit failure via depth profiling, digital microscopy and scanning electron microscopy. The results are used to elucidate the statistical evolution of the grinding wheel surface. Different modes of grit failure, including grit attritious wear, fracture and pull out haven been identified. The analysis of the surface topological features indicates a unique grit activation process, leading to a non-uniform spatial distribution of the grit wear. Additionally, single grit pull out experiment has been conducted to assess the residual strength of the grit-wheel interface and the associated state of damage percolation. The experimental results can be utilized in developing a life expectancy model for the CBN grinding wheel to assess the grit mean time to failure as well as grit surface topological evolution as a function of the process parameters.

Modeling Wear Process of Electroplated CBN Grinding Wheel

2015 ◽  
Author(s):  
Tianyu Yu ◽  
Ashraf F. Bastawros ◽  
Abhijit Chandra
Keyword(s):  
Life Expectancy ◽  
Cubic Boron Nitride ◽  
Grinding Wheel ◽  
Type Model ◽  
Wheel Wear ◽  
Modeling Framework ◽  
Workpiece Material ◽  
Wear Process ◽  
Workpiece Interaction ◽  
Cbn Grinding Wheel

The wear of Cubic Boron Nitride (CBN) grinding wheel directly affects the workpiece surface integrity and tolerances. This paper summarizes a combined experimental-modeling framework for CBN grinding wheel life expectancy utilized in both cylindrical and surface grinding. The presented fatigue type model is based on grit pullout mechanism and the associated state of damage percolation. The unique grit-workpiece interaction process leads to a non-uniform spatial distribution of the grit wear. The life expectancy model can be described as a function of the process parameters, grinding wheel geometry and topology, workpiece material properties, etc. The developed modeling framework will greatly enhance the understanding of electroplated CBN grinding wheel wear mechanism.

Evaluation of the Working Surface of the Grinding Wheel Using Speckle Image Analysis

2015 ◽  
Author(s):  
Arunachalam Narayanaperumal ◽  
Vijayaraghavan Lakshmanan
Keyword(s):  
Surface Quality ◽  
Surface Condition ◽  
Grinding Wheel ◽  
Optical Parameters ◽  
Wheel Surface ◽  
Wheel Wear ◽  
Speckle Image ◽  
Periodic Monitoring ◽  
Grinding Machine

The surface quality of the ground components mainly depends on the surface condition of the grinding wheel. The surface condition of the grinding wheel changes with grinding time due to wheel wear and loading. The excessive wear and loading increases the cutting force and the temperature. This in turn affects the quality of the produced component. Hence periodic monitoring of the grinding wheel surface is essential to avoid the production of the defective components. In this paper, an attempt is made to study the changes in the grinding wheel surface condition using the laser scattered images. The simple speckle imaging arrangement is fabricated and fitted into the grinding machine to capture the images of the grinding wheel after each 100 passes. The fresh wheel expected to scatter more light due to higher roughness and porosity. On the other hand, the completely glazed and worn-out wheel scatters the light less due to smoother surface. Thus, speckle image intensity distribution captures the changes in the grinding wheel surface condition. The optical parameters evaluated from the speckle images clearly indicating the changes in the grinding wheel condition. This method can be utilized to evaluate the grinding wheel condition to improve the surface quality of the component produced.

Study on the Cutting Properties of the Singer Layer Metal Bonded cBN Grinding Wheel by Electroplating in Grinding of Heat-Treated Steel SKD11

2019 ◽  
Vol 889 ◽  
pp. 80-86
Author(s):  
Truong Hoanh Son ◽  
Tran Thi Van Nga
Keyword(s):  
Depth Of Cut ◽  
Grinding Wheel ◽  
Wheel Surface ◽  
Abrasive Particles ◽  
Sem Image ◽  
Grinding Ratio ◽  
Heat Treated ◽  
Two Factors ◽  
Cbn Grinding Wheel ◽  
Heat Treated Steel

This article presents preliminary investigations on the cutting ability of the singer layer metal-bonded cBN grinding wheel manufactured by electroplating method at Vietnamese laboratory. The cutting ability of the grinding wheel is evaluated by two factors: grinding ratio G and surface roughness of workpiece. These results are compared to those of the Japanese grinding wheels. The experimental results showed that the fabricated cBN grinding wheel has good cutting ability with high grinding ratio G. The value of the grinding ratio was 600 to 1800 in the grinding process of SKD11 steel (hardness of 62-63HRC) at the grinding speed V of 12.56m/s, feed rate S of 300mm/min, depth of cut t of 0.01mm. The maximum grinding ratio (1800) is equivalent to the average grinding ratio of the Japanese grinding wheel. The grinding ratio is also maintained up to 26 cutting hours. The good grinding surface was achieved with the average Ra of 2.5μm. In addition, the bonding of cBN abrasive to the wheel body was observed with scanning electron microscope (SEM) of the surface of grinding wheel after the cutting process. The SEM image shown that the cBN abrasive particles were not removed from the wheel surface.

Simulation of Vitrified CBN Grinding Wheel Abrasive Wear Based on SPH

2011 ◽  
Vol 317-319 ◽  
pp. 498-502
Author(s):  
Jing Qiang Zhang ◽  
Peng Guan ◽  
Chong Su ◽  
Wan Shan Wang
Keyword(s):  
Abrasive Wear ◽  
Grinding Wheel ◽  
Wheel Wear ◽  
Wear Model ◽  
Wear Process ◽  
Grinding Wheel Wear ◽  
Smoothed Particle ◽  
Smoothed Particle Hydrodynamic ◽  
Cbn Grinding Wheel ◽  
Vitrified Cbn

This paper used spatial random cutting plane method for modeling the real irregular grain shapes, and method of smoothed particle hydrodynamic (SPH) was used to establish CBN grinding wheel abrasive wear model. In order to research the wear mechanism of CBN abrasive and the relationships between grinding parameters and grinding wheel wear, simulation of the wheel abrasive wear process was simulated by the LS-DYNA explicit dynamics. According to the results obtained by simulation of abrasive wear model which has the same law with the actual wear abrasive, it is has realistic instructive significance to the actual grinding process of vitrified CBN grinding wheel.

scholarly journals An Analysis of Electroplated cBN Grinding Wheel Wear and Conditioning during Creep Feed Grinding of Aeronautical Alloys

Metals ◽  
2018 ◽  
Vol 8 (5) ◽  
pp. 350 ◽  
Author(s):  
Gorka Vidal ◽  
Naiara Ortega ◽  
Héctor Bravo ◽  
Mirentxu Dubar ◽  
Haizea González
Keyword(s):  
Grinding Wheel ◽  
Wheel Wear ◽  
Grinding Wheel Wear ◽  
Creep Feed Grinding ◽  
Creep Feed ◽  
Cbn Grinding Wheel

The Design and Manufacture of Quick-Point Grinding Wheel

2009 ◽  
Vol 416 ◽  
pp. 365-369 ◽  
Author(s):  
Jian Qiu ◽  
Ya Dong Gong ◽  
Yue Ming Liu ◽  
Yan Cheng Zhang
Keyword(s):  
Mechanical Properties ◽  
Finite Element Method ◽  
Finite Element ◽  
Bonding Strength ◽  
Wheel Speed ◽  
Grinding Wheel ◽  
Wheel Wear ◽  
High Quality ◽  
Design And Manufacture ◽  
Cbn Grinding Wheel

It is important that preparing high quality grinding wheel to match Quick-point grinding processing. Using brazed CBN grinding wheel, grains can be combined with wheel matrix in high bonding strength, which is helpful to minimize wheel wear and to gain a good grinding ability. By establishing the connection between stress and its increment, the mechanical properties of wheel under different conditions is described. The wheel speed has effect on wheel matrix displacement and stress. Applying finite element method to optimize wheel structure, a final grinding wheel for Quick-point grinding is obtained.

scholarly journals Influence of Electroplated CBN Wheel Wear on Grinding Surface Morphology of Powder Metallurgy Superalloy FGH96

Materials ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 1005
Author(s):  
Haining Wang ◽  
Xun Li ◽  
Ziming Wang ◽  
Rufeng Xu
Keyword(s):  
Powder Metallurgy ◽  
Surface Morphology ◽  
Engineering Application ◽  
Turbine Disk ◽  
Grinding Wheel ◽  
Wheel Wear ◽  
Cbn Wheel ◽  
Abrasive Grain ◽  
Depth Analysis ◽  
Cbn Grinding Wheel

The electroplated cubic boron nitride (CBN) wheel has perfect precision retention and high-temperature grinding performance, which is widely used in the field of grinding difficult-to-cut materials, such as nickel-based superalloy. However, the research on the influence law and mechanism of grinding surface morphology affected by the wear state of small-size grinding wheel is insufficient, which limits the further promotion and application of electroplated CBN wheel in the field of precision grinding of superalloy materials. Based on the in-depth analysis of the structure of FGH96 turbine disk, and combined with the actual processing requirements, the electroplated CBN wheel was designed, and the abrasive grains size selection experiments and CBN wheel wear experiments were then carried out for the powder metallurgy superalloy FGH96 in turn. The influence law of the abrasive grain size of CBN grinding wheel and the wear state of grinding wheel on the surface morphology was investigated, respectively. The obtained results showed that under the given processing parameters, the surface roughness Ra using 400# and 600# electroplated CBN wheels are around 0.66 μm and 0.53 μm during the normal wear state of grinding wheels, respectively, which can meet the requirement of surface quality less than Ra 0.8 μm in engineering application of turbine disk, and prove the feasibility of small-size CBN wheel grinding FGH96. In addition, the failure form of electroplated CBN wheel is mainly the accumulation and adhesion of abrasive debris, and the crushing and shedding of abrasive grain are hard to appear.

Laser Truing and Dressing of Small Vitrified CBN Grinding Wheel

2007 ◽  
Vol 329 ◽  
pp. 163-168 ◽  
Author(s):  
Yong Bo Wu ◽  
Xu Yue Wang ◽  
T. Tachibana ◽  
M. Kato
Keyword(s):  
Laser Beam ◽  
Relative Motion ◽  
Nd:Yag Laser ◽  
Surface Condition ◽  
Grinding Wheel ◽  
Wheel Surface ◽  
Cbn Wheel ◽  
Cup Wheel ◽  
Cbn Grinding Wheel ◽  
Vitrified Cbn

This paper aims at the development of an alterative technique for truing and dressing a small vitrified CBN grinding wheel used for the internal finishing of small holes measuring several millimeters in diameter. In conventional truing and dressing, a single-tip diamond dresser or a rotary GC cup wheel dresser is employed. This levels off the improvement in the wheel truing accuracy because the stiffness of the grinding wheel shaft with an open-sided structure is low, and the shaft is thus deformed easily due to the truing force. In the present work, a new truing and dressing technique is proposed in which a Nd:YAG laser beam is employed as the dresser. Experiments were carried out with respect to the effects of the laser beam conditions (amplitude, width and frequency of pulse, and focus offset) and the relative motion between the laser beam and CBN wheel. It was found that the run-out of the CBN wheel was decreased significantly, and the wheel surface condition was improved greatly after laser truing and dressing.

scholarly journals Effect of APOE ε4 on multimodal brain connectomic traits: a persistent homology study

2020 ◽  
Vol 21 (S21) ◽  
Author(s):  
Jin Li ◽  
◽  
Chenyuan Bian ◽  
Dandan Chen ◽  
Xianglian Meng ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Genetic Risk ◽  
Brain Connectivity ◽  
Persistent Homology ◽  
Brain Network ◽  
Resonance Imaging ◽  
Modeling Framework ◽  
Apoe Ε4 ◽  
Topological Features

Abstract Background Although genetic risk factors and network-level neuroimaging abnormalities have shown effects on cognitive performance and brain atrophy in Alzheimer’s disease (AD), little is understood about how apolipoprotein E (APOE) ε4 allele, the best-known genetic risk for AD, affect brain connectivity before the onset of symptomatic AD. This study aims to investigate APOE ε4 effects on brain connectivity from the perspective of multimodal connectome. Results Here, we propose a novel multimodal brain network modeling framework and a network quantification method based on persistent homology for identifying APOE ε4-related network differences. Specifically, we employ sparse representation to integrate multimodal brain network information derived from both the resting state functional magnetic resonance imaging (rs-fMRI) data and the diffusion-weighted magnetic resonance imaging (dw-MRI) data. Moreover, persistent homology is proposed to avoid the ad hoc selection of a specific regularization parameter and to capture valuable brain connectivity patterns from the topological perspective. The experimental results demonstrate that our method outperforms the competing methods, and reasonably yields connectomic patterns specific to APOE ε4 carriers and non-carriers. Conclusions We have proposed a multimodal framework that integrates structural and functional connectivity information for constructing a fused brain network with greater discriminative power. Using persistent homology to extract topological features from the fused brain network, our method can effectively identify APOE ε4-related brain connectomic biomarkers.

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