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Milling Surface Roughness Monitoring Based on the Neural Network Embedded in Physical Model

https://doi.org/10.2139/ssrn.5073645
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
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Surface roughness prediction using multi-source heterogeneous data and Bayesian quantile regression in milling process
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Effect of tool wear on machining quality in milling Cf/SiC composites with PCD tool
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Prediction of surface roughness profiles for milled surfaces using an artificial neural network and fractal geometry approach
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Extension of Oxley's predictive machining theory for Johnson and Cook flow stress model
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The effect of vibration and cutting zone temperature on surface roughness and tool wear in eco-friendly MQL turning of AISI D2
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A geometrical model for surface roughness prediction when face milling Al 7075-T7351 with square insert tools
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Deep neural network and meta-learning-based reactive sputtering with small data sample counts
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Design of an interpretable Convolutional Neural Network for stress concentration prediction in rough surfaces
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Using deep neural network with small dataset to predict material defects
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Effect of milling parameters on surface roughness: An experimental investigation
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Surface roughness prediction in milling using long-short term memory modelling
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A new measurement method for ultrasonic surface roughness measurements
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Experimental investigation and analysis of the influence of tool edge geometry and work piece hardness on surface residual stresses, surface roughness and work-hardening in hard turning of AISI D2 steel
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Analysis and modeling of surface roughness based on cutting parameters and tool nose radius in turning of AISI D2 steel using CBN tool
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Evaluation of turned and milled surfaces roughness using convolutional neural network
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An approach for surface roughness measurement of helical gears based on image segmentation of region of interest
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Prediction of milling force based on spindle current signal by neural networks
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Surface roughness prediction in ball screw whirlwind milling considering elastic-plastic deformation caused by cutting force: Modelling and verification
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Explaining the black-box model: A survey of local interpretation methods for deep neural networks
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Physics-informed neural network-based petroleum reservoir simulation with sparse data using domain decomposition
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Surface roughness prediction using kernel locality preserving projection and Bayesian linear regression
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Knowledge-based neural network for surface roughness prediction of ball-end milling
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Position-dependent milling process monitoring and surface roughness prediction for complex thin-walled blade component
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From the basic mechanics of orthogonal metal cutting toward the identification of the constitutive equation
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Estimating cutting force from rotating and stationary feed motor currents on a milling machine
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