Predictive Modeling of Microgrinding Force Incorporating Phase Transformation Effects

Zhou, Ding; Sun, Gaoxiang; Jiang, Xiaohui; Guo, Miaoxian; Liang, Steven Y.

doi:10.1115/1.4043839

Cited by 15 publications

(3 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The CWD-SK in PF1 is calculated according to Equation (11). This method calculates the value based on CWD-SK, which is denoted as k. The value of CWD-SK in normal conditions is shown in Figure 4a.…”

Section: Initial Fault Feature Extraction Based On Cwd-skmentioning

confidence: 99%

See 1 more Smart Citation

Spectral Kurtosis of Choi–Williams Distribution and Hidden Markov Model for Gearbox Fault Diagnosis

Song

et al. 2020

Symmetry

View full text Add to dashboard Cite

A combination of spectral kurtosis (SK), based on Choi–Williams distribution (CWD) and hidden Markov models (HMM), accurately identifies initial gearbox failures and diagnoses fault types of gearboxes. First, using the LMD algorithm, five types of gearbox vibration signals are collected and decomposed into several product function (PF) components and the multicomponent signals are decomposed into single-component signals. Then, the kurtosis value of each component is calculated, and the component with the largest kurtosis value is selected for the CWD-SK analysis. According to the calculated CWD-SK value, the characteristics of the initial failure of the gearbox are extracted. This method not only avoids the difficulty of selecting the window function, but also provides original eigenvalues for fault feature classification. In the end, from the CWD-SK characteristic parameters at each characteristic frequency, the characteristic sequence based on CWD-SK is obtained with HMM training and diagnosis. The experimental results show that this method can effectively identify the initial fault characteristics of the gearbox, and also accurately classify the fault characteristics of different degrees.

show abstract

Section: Initial Fault Feature Extraction Based On Cwd-skmentioning

confidence: 99%

“…In recent years, the concept of spectral kurtosis has been proposed to solve the above problems to some extent. Therefore, it is of certain academic significance to study the application of the spectral kurtosis method in gearbox fault diagnosis [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Spectral Kurtosis of Choi–Williams Distribution and Hidden Markov Model for Gearbox Fault Diagnosis

Song

et al. 2020

Symmetry

View full text Add to dashboard Cite

show abstract

“…In the early study, the heat source models with uniform distribution were adopted directly [38][39][40]. At present, Gaussian heat source model, double ellipse heat source model and combination heat source model are widely used [41][42][43][44]. Considering the size of the powder and the gap between the powders, the laser can radiate directly to the formed surface so that the powder is melted in an instant.…”

Section: Heat Source Modelmentioning

confidence: 99%

Effect of process parameters on residual stress in selective laser melting of AlSi10Mg

Jiang

Zhu

2020

Materials Science and Technology

Self Cite

View full text Add to dashboard Cite

Residual stress is a key indicator for measuring complex additive components, and its control method has received extensive attention. In this study, the finite element simulation of selective laser melting of AlSi10Mg was performed. It is found that the opposite laser scanning strategy can reduce the final residual stress of the sample. The effect of preheating the substrate to control the residual stress within a certain temperature range is obvious, and the laser scanning speed has the greatest influence on the Z-direction residual stress of the sample. The results show that the sag phenomenon is easy to occur at the laser scanning starting position, and the formed layer is the maximum residual stress region at the junction with the substrate.

show abstract

Ductility-oriented high-speed grinding of silicon carbide and process design for quality and damage control with higher efficiency

Guo

et al. 2019

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Predictive Modeling of Microgrinding Force Incorporating Phase Transformation Effects

Cited by 15 publications

References 38 publications

Spectral Kurtosis of Choi–Williams Distribution and Hidden Markov Model for Gearbox Fault Diagnosis

Spectral Kurtosis of Choi–Williams Distribution and Hidden Markov Model for Gearbox Fault Diagnosis

Effect of process parameters on residual stress in selective laser melting of AlSi10Mg

Ductility-oriented high-speed grinding of silicon carbide and process design for quality and damage control with higher efficiency

Contact Info

Product

Resources

About