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Congying Deng

As seen in: MDPI
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Articles

Efficient Prediction of Stability Boundaries in Milling Considering the Variation of Tool Features and Workpiece Materials

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By Huijuan Sun, Huiling Ding, Congying Deng, Kaixiang Xiong
| MDPI
1. Introduction Continuous developments in the manufacturing industry have pushed the machine tool to pursue a higher machining efficiency and accuracy. However, chatter vibrations occurring in the milling process will restrict the machine tool to its limits [1]. Since regenerative chatter is the most common chatter phenomenon in milling, in-depth methods have been developed to suppress the chatter occurrences [2,3].
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Analysis and Optimization of Milling Deformations of TC4 Alloy Thin-Walled Parts Based on Finite Element Simulations

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By Congying Deng, Xuhui Chen, Haiyan Zhai, Jiaquan Tang
| MDPI
Abstract : TC4 (DIN3.7164/5) alloy thin-walled parts are widely used in aviation and aerospace industries. However, due to their special structure, shape and poor machinability, large milling forces and milling deformation often occur in the milling process, which cannot guarantee the machining quality and accuracy.
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Fault Diagnosis Method for Imbalanced Data Based on Multi-Signal Fusion and Improved Deep Convolution Generative Adversarial Network

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By Zihao Deng, Sheng Lu, Mingge He, Congying Deng
| MDPI
4.1. Case 1: Bearing Dataset from XJTU-SY 4.1.1. Dataset Description and Data Processing The bearing dataset from XJTU-SY was collected from a bearing test rig which is shown in Figure 7. It mainly consists of the following parts: an AC motor, a hydraulic loading device, a tested bearing, a motor speed controller, and two accelerometers for measuring vertical and horizontal vibration [34].
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