Novel monitoring method for material removal rate considering quantitative wear of abrasive belts based on LightGBM learning algorithm
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Title
Novel monitoring method for material removal rate considering quantitative wear of abrasive belts based on LightGBM learning algorithm
Authors
Keywords
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Journal
The International Journal of Advanced Manufacturing Technology
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-04-25
DOI
10.1007/s00170-021-06988-6
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Related references
Note: Only part of the references are listed.- A new in-process material removal rate monitoring approach in abrasive belt grinding
- (2019) Lijuan Ren et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A novel material removal prediction method based on acoustic sensing and ensemble XGBoost learning algorithm for robotic belt grinding of Inconel 718
- (2019) Kaiyuan Gao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- On energetic evaluation of robotic belt grinding mechanisms based on single spherical abrasive grain model
- (2019) Zeyuan Yang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- An online belt wear monitoring method for abrasive belt grinding under varying grinding parameters
- (2019) Can Cheng et al. Journal of Manufacturing Processes
- A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine
- (2018) Xiaoqiang Zhang et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm
- (2018) Vigneashwara Pandiyan et al. Journal of Manufacturing Processes
- Deep convolutional neural network-based in-process tool condition monitoring in abrasive belt grinding
- (2018) Can Cheng et al. COMPUTERS IN INDUSTRY
- Predictive Modelling and Analysis of Process Parameters on Material Removal Characteristics in Abrasive Belt Grinding Process
- (2017) Vigneashwara Pandiyan et al. Applied Sciences-Basel
- A controllable material removal strategy considering force-geometry model of belt grinding processes
- (2016) Yongqing Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Influence of rail grinding process parameters on rail surface roughness and surface layer hardness
- (2016) Eckart Uhlmann et al. WEAR
- Model of an abrasive belt grinding surface removal contour and its application
- (2015) Y. J. Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Material removal profile for large mould polishing with coated abrasives
- (2015) Guilian Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- An approach to monitoring quality in manufacturing using supervised machine learning on product state data
- (2013) Thorsten Wuest et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A method for grinding removal control of a robot belt grinding system
- (2011) Yixu Song et al. JOURNAL OF INTELLIGENT MANUFACTURING
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