Identification of grinding wheel wear signature by a wavelet packet decomposition method

Xu, Liming; Xu, Kun; Yundong, Chai

doi:10.1007/s12204-010-1011-5

Cited by 12 publications

(7 citation statements)

References 13 publications

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“…Furthermore, the effectiveness of the proposed method is verified through experiments. Xu et al [7] used the energy percentage method based on wavelet packet transform to extract the characteristic signal of grinding wheel wear and online evaluation and prediction of grinding wheel wear. Liao et al [8] proposes a HMM-based (Hidden Markov mode) clustering method for monitoring the condition of grinding wheel used in grinding operations.…”

Section: Introductionmentioning

confidence: 99%

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Numerical calculation of grinding wheel wear for spiral groove grinding

Liu

Wang

Yue

et al. 2022

Int J Adv Manuf Technol

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The datasets used or analyzed during the current study are available from the corresponding author on reasonable request. Code availability (Not applicable) Authors' contributionsXianli Liu, Shipeng Wang and CaiXu Yue contributed to the conception of the study; Wang Shipeng carried out the research of the reverse algorithm for contour of wearing sand. Mengdi Xu and Zhan Chen contributed to the replica method experimental verification.Steven Y. Liang and Jiaqi Zhou helped perform the analysis with constructive discussions. Ethics approvalThe content studied in this article belongs to the field of metal processing, does not involve humans and animals. This article strictly follows the accepted principles of ethical and professional conduct. Consent to participateMy co-authors and I would like to opt in to In Review. Consent for publicationI agree with the Copyright Transfer Statement.

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Section: Introductionmentioning

confidence: 99%

“…( 4), the contact relationship between the surface of the grinding wheel and the surface of the spiral groove can be expressed by Eq. (7).…”

mentioning

confidence: 99%

Numerical calculation of grinding wheel wear for spiral groove grinding

Liu

Wang

Yue

et al. 2022

Int J Adv Manuf Technol

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“…Dutta et al 17 analyzed digital image processing in the respect of monitoring tool and wheel. In indirect way, the features of the collected physical quantities, such as vibration 18 and surface roughness, 19 are used to evaluate the wheel wear. Xu et al 18 compared the energy ratio extracted from vibration signal with the wheel wear status evaluated by experiment, and applied the further extracted features to the prediction of wheel wear status.…”

Section: Introductionmentioning

confidence: 99%

“…In indirect way, the features of the collected physical quantities, such as vibration 18 and surface roughness, 19 are used to evaluate the wheel wear. Xu et al 18 compared the energy ratio extracted from vibration signal with the wheel wear status evaluated by experiment, and applied the further extracted features to the prediction of wheel wear status. Dutta et al 19 calculated the wheel wear condition by collecting the processed surface image in real time and analyzing the collected image.…”

Section: Introductionmentioning

confidence: 99%

A compensation algorithm of tool path for grinding wheel wear in solid cutting tool flank grinding

Jiang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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In finishing machining, the quality of workpiece is significantly influenced by the performance of solid cutting tool. Solid cutting tool flank is ground by CNC tool grinder in accordance with the tool path of grinding wheel. In actual grinding process, the grinding area of wheel will be gradually worn down, resulting in the decrease of geometric accuracy of flank and even wrong profile. In order to compensate the error, a compensation algorithm of tool path for solid cutting tool flank based on grinding wheel wear is proposed. Firstly, the coordinate systems are defined for the grinding process of flank, and the orientation and location calculation model of ideal wheel with the grinding process parameters is derived. Secondly, based on the profile description of wheel wear, flank errors are analyzed. Then, the compensation algorithm for anastomosis of cutting edge and relief angle is proposed. Finally, series of experiments of simulation and actual grinding are carried out. The comparison of the results shows that the algorithm can reduce the influence of wheel wear effectively, which can also improve the grinding quality stability and prolong the service life of grinding wheel.

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“…Therefore, it is very important to study grinding wheel wear [10]. Xu et al [11] detected grinding wheel wear through wavelet analysis. It was found that the extracted energy ratio showed a good correlation to wheel wear state, thus achieving the purpose of monitoring grinding wheel wear.…”

Section: Introductionmentioning

confidence: 99%

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

Wang

et al. 2020

Materials

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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.

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Identification of grinding wheel wear signature by a wavelet packet decomposition method

Cited by 12 publications

References 13 publications

Numerical calculation of grinding wheel wear for spiral groove grinding

Numerical calculation of grinding wheel wear for spiral groove grinding

A compensation algorithm of tool path for grinding wheel wear in solid cutting tool flank grinding

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

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