Physics-Embedded Machine Learning: Case Study with Electrochemical Micro-Machining

Abstract

Abstract:Although intelligent machine learning techniques have been used for input-output modeling of many different manufacturing processes, these techniques map directly from the input process parameters to the outputs and do not take into consideration any partial knowledge available about the mechanisms and physics of the process. In this paper, a new approach is presented for taking advantage of the partial knowledge available about the mechanisms of the process and embedding it into the neural network structure. To validate the proposed approach, it is used to create a forward prediction model for the process of electrochemical micro-machining (µ-ECM). The prediction accuracy of the proposed approach is compared to the prediction accuracy of pure neural structure models with different structures and the results show that the Neural Network (NN) models with embedded knowledge have better prediction accuracy over pure NN models.

Bayesian Optimized Deep Convolutional Network for Electrochemical Drilling Process

“…To initialize the tuning parameter boundary, a trial-and-error based approach was implemented to determine the basic structure of the deep convolution network. The structure of the network refers to the previous work in [11,27,28] with an added convolutional layer and dropout layer to add nonlinearity and prevent overfitting. The network was initialized with a convolutional layer and one dense layer with 20 neurons.…”

“…It can be observed that the deep CNN yields the minimum error among all four models. In addition, by comparing Figures 4 and 6, it can be observed To validate our proposed model, the networks developed in [11,27,28] were compared with the proposed CNN. The mean least square support vector regression machines in [31] were also added for comparison.…”

“…The experimental data collected in [11,27,28] were adopted to validate the proposed deep convolutional network. The experimental setup of the ECM process is shown in Figure 2.…”

“…The electrolyte is pumped to a multiple-electrode cell and exits through the small nozzles directed towards the anode workpiece. [11,27,28].…”

“…Schematic diagram of electrochemical micromachining system (left) and micro-array hole electrode module (right)[11,27,28].…”