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Effects of Welding Factors on Liquid Metal Embrittlement Cracking during Resistance Spot Welding of Zinc-coated High-strength Steel

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ISIJ International 2025年第1期65卷 117-126页

作者： Yu, Yang Zhang, Yongqiang Zhang, Tianyue Cao, Guangxiang Chen, Weixuan Research Institute of Technology of Shougang Group Co. Ltd. Beijing100043 China Beijing Key Laboratory of Green Recycling Process for Iron & Steel Production Technology Beijing100043 China Beijing Engineering Research Center of Energy Steel Beijing100043 China Shougang Jingtang United Iron and Steel Co. Ltd. Tangshan063200 China National Key Laboratory of Advanced Vehicle Integration & Control China FAW Group Co. Ltd Changchun130013 China

During resistance spot welding of zinc-coated advanced high-strength steels (AHSS), cracks which are promoted by liquid metal embrittlement (LME) may occur. According to previous researches, welding current, welding time, electrode tip diameter and electrode misalignment angle are significant factors on LME cracking. In this study, the effects of these four factors on LME cracking were compared with an orthogonal design experiment. After welding, numbers and lengths of cracks were measured, and Crack Index (CI) of each experiment group was calculated for comparison. As the result, two types of LME cracks, i.e., Type A cracks located at the indentation of electrode tip and Type B cracks located at the indentation of electrode shoulder were observed. The order of influence degree on CI of Type A crack from high to low was welding current > electrode tip diameter > electrode misalignment angle > welding time. The order of influence degree on CI of Type B crack was electrode tip diameter > electrode misalignment angle > welding time > welding current. The result reveals that modifying welding current is the most effective way to reduce Type A cracks and optimizing the electrode tip diameter is significant for preventing Type B cracks. © 2025 The Iron and Steel Institute of Japan.

关键词： Zinc coatings

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Non-Monotonic Lyapunov-Krasovskii Functional Approach to Stability Analysis and Stabilization of Discrete Time-Delay Systems

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IEEE/CAA Journal of Automatica Sinica 2020年第3期7卷 752-763页

作者： Younes Solgi Alireza Fatehi Ala Shariati Advanced Process Automation and Control Research Group Industrial Control Center of ExcellenceFaculty of Electrical EngineeringK.N.Toosi University of TechnologyTehran 16317-14191Iran IEEE

In this paper, a novel non-monotonic Lyapunov-Krasovskii functional approach is proposed to deal with the stability analysis and stabilization problem of linear discrete time-delay systems. This technique is utilized to relax the monotonic requirement of the Lyapunov-Krasovskii theorem. In this regard, the Lyapunov-Krasovskii functional is allowed to increase in a few steps, while being forced to be overall decreasing. As a result, it relays on a larger class of Lyapunov-Krasovskii functionals to provide stability of a state-delay system. To this end, using the non-monotonic Lyapunov-Krasovskii theorem, new sufficient conditions are derived regarding linear matrix inequalities(LMIs)to study the global asymptotic stability of state-delay ***, new stabilization conditions are also proposed for time-delay systems in this article. Both simulation and experimental results on a p H neutralizing process are provided to demonstrate the efficacy of the proposed method.

关键词： Linear matrix inequality(LMI) non-monotonic Lyapunov-Krasovskii functional(NMLKF) pH neutralization plant stabilization state-delay system time-delay system

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Design of An Intelligent control System for Underground Directional Drilling Trajectory in Coal Mines 41

Design of An Intelligent Control System for Underground Dire...

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第41届中国控制会议

作者： Wangnian Li Min Wu Ke Yao Quanxin Li Chengda Lu Sheng Du School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Xi'an Research Institute Co.Ltd. China Coal Technology and Engineering Group

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Directional drilling trajectory control technology is one of the key technologies to realize automation and intelligence of underground tunnel drilling in coal *** construction of directional drilling in underground coal mines mainly relies on manual observation of measurement-while-drilling parameters to control the drilling trajectory,which is highly dependent on manual *** paper designs an intelligent control system of underground directional drilling trajectory for coal *** the idea of hierarchical design and modular design,this system collects and displays geometric parameters,geological parameters,and engineering parameters of the directional drilling ***,an intelligent decision-making platform for directional drilling trajectory prediction and control is developed,laying a foundation for the research of directional drilling trajectory prediction and intelligent control for coal mines.

关键词： Trajectory prediction trajectory control geometric parameters geological parameters engineering parameters

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Design of an Intelligent Monitoring System for Operating States in a Coal Mine Drilling process 41

Design of an Intelligent Monitoring System for Operating Sta...

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第41届中国控制会议

作者： Xiao Yang Luefeng Chen Sheng Du Chengda Lu Wangnian Li Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Xi'an Research Institute Co.Ltd. China Coal Technology and Engineering Group

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development trend of intelligent drilling in coal mines,an intelligent monitoring system for operating states in a drilling process is developed to solve the problems of incomplete display of drilling parameters and ineffective *** system realizes the remote monitoring of drilling *** mainly adopts the Fuzzy C-Means clustering algorithm to cluster the drilling *** it combines expert empirical knowledge to classify coal seams into soft,hard and alternating soft and hard coal *** boundary values are calculated according to the boundary ***,three drilling operating states,rated,conservative and over-excited,are judged to provide guidance for the drilling process control.

关键词： Drilling process Intelligent monitoring Fuzzy C-Means clustering Operating states

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LEECAU-Net: A Latent Entropy-Quantized and Efficient Channel Attention-Aided U-Net Model for Microscopic Medical Image Segmentation 9

LEECAU-Net: A Latent Entropy-Quantized and Efficient Channel...

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9th IEEE International Conference on Progress in Informatics and Computing, PIC 2024

作者： Das, Sanchita Maity, Gouranga Mandal, Diptarka Kaplun, Dmitrii Voznesensky, Alexander Sarkar, Ram Jadavpur University Dept. of Cse Kolkata India Defence Instituite of Advanced Technology Department of Applied Mathematics Pune India Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China St. Petersburg Electrotechnical University 'LETI' Dept. of Automation and Control Process St. Petersburg Russia

ISBN: (纸本)9798350363203

Microscopic medical image segmentation is essential for detailed cellular-level analysis in computational pathology, offering insights into disease mechanisms. However, this task is particularly challenging due to the high similarity between different cellular classes and variability within each class, especially in densely packed or overlapping cell regions. To this end, we present LEECAU-Net (Latent Entropy-quantized and Efficient Channel Attention-aided U-Net), a U-Net-based model designed to improve segmentation accuracy through a dual-attention mechanism. Built on an Inceptionv4 backbone, LEECAU-Net's encoder integrates Latent Entropy-quantized Channel Attention (LECA) and Efficient Channel Attention (ECA) modules. The ECA module enhances the network's ability to focus on essential channel dependencies, while LECA leverages entropy quantification to prioritize channels rich in information, leading to better differentiation between similar structures. We have tested LEECAU-Net on three challenging publicly available datasets: Triple Negative Breast Cancer (TNBC), Multi-organ Nuclei Segmentation (MoNuSeg), and Cervical Nucleus Segmentation (CNS). Across these datasets, our model achieves higher performance metrics than numerous state-of-the-art approaches reported in the literature. The improved results underscore the effectiveness of LEECAU-Net's architecture in handling the complexity of microscopic medical images, making it a valuable tool for advancing automated cellular analysis in biomedical research. The source code and more results are made available at https://***/Cmatermedicalimageanalysis/LEECAU-Net. © 2024 IEEE.

关键词： Image segmentation

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Design and Simulation of Hinge-type Ro-Ro (Roll-on/Roll-off) Ship Car Deck Structure 33rd

Design and Simulation of Hinge-type Ro-Ro (Roll-on/Roll-off)...

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33rd International Ocean and Polar Engineering Conference, ISOPE 2023

作者： Kim, Hyun Soo Cho, Min Goo Kang, Sung Wook Kim, Jae Woong Pyo, Chang Min Ji, Chang Wook Park, Jang Ik Precision Mechanical Process and Control R&D Group Korea Institute of Industrial Technology Gyeongsangnam-do Jinju Korea Republic of Automotive Materials & Components R&D Group Korea Institute of Industrial Technology Gwangju Korea Republic of Advanced Forming Process R&D Group Korea Institute of Industrial Technology Ulsan Korea Republic of Research center Dae Lyun Engineering Co. Ltd. Busan Korea Republic of

ISBN: (纸本)9781880653807

Ro-Ro ships can roll-on or roll-off cargo with self-driving power such as passenger cars and trucks, and container cargo on transport devices such as trucks or trailers on a ramp. The representative types of Ro-Ro ships are PCC (Pure Car Carrier) and PTCT (Pure Car & Truck Carrier). Ro-Ro ship is configured to load as many cargoes as possible by dividing the cargo hold into multiple card decks up and down. It is necessary to adjust the height of the car deck according to the type of vehicle being loaded. For this purpose, a number of fillers are installed on the inner deck of the Ro-Ro ship. In other words, to load high cargo such as heavy equipment on the car deck, the height between the decks must be high. At this time, the liftable car deck is adjusted using the deck lifter installed on the pillar. Existing liftable car deck structures are made of a single large plate, so it takes a lot of time and money to install and dismantle them. In this study, a hinge-type liftable car deck was designed. In addition, the overall structural integrity including the hinge was evaluated through structural analysis in accordance with the classification regulations. © 2023 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Arctic engineering

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Tracking performance limitations of MIMO discrete-time networked control systems with multiple constraints

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Science China(Information Sciences) 2023年第8期66卷 267-268页

作者： Xiaowei JIANG Bin ZHANG Xiangyong CHEN Huaicheng YAN School of Automation China University of Geosciences Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Automation and Electrical Engineering Linyi University Key Laboratory of Smart Manufacturing in Energy Chemical Process of the Ministry of Education

Dear editor,Networked control systems(NCSs) have attracted widespread attention in some fields because they offer the advantages of reduced cabling, greater resource sharing,and ease of installation and maintenance [1]. However, in an unreliable network environment, network constraints can significantly limit the performance of NCSs.

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STBT: 1Spatio-temporal Belt Transformer Prediction Network for Belt Deviation

STBT: 1Spatio-temporal Belt Transformer Prediction Network f...

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2022 Jiangsu Annual Conference on automation, JACA 2022

作者： Chen, Pengju Niu, Dan Liu, Minghao Chen, Xisong Li, Qi Yang, Yanlan School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of CSE Ministry of Education Research Laboratory China Nanjing Sciyon Wisdom Technology Group Co. Ltd. Nanjing China Jiangsu Province Key Laboratory of Thermal Process Intelligent Control Nanjing China

ISBN: (纸本)9781839538476

Belt conveyor is an important equipment for the transportation of raw materials in ports, wharves and industrial sites. Whether it runs stably is directly related to whether the whole production process can operate normally, and belt deviation is the most prone type of failure of belt conveyor. This paper proposes a Spatio-temporal Belt Transformer (STBT) method based on deep learning and the Encoder-Decoder network based on Transformer Block. The continuous frame belt motion images fused with temporal and spatial features are input, and the fusion information of global features and local features is extracted by the multi-head self-attention algorithm based on sliding window, and the final output of the predicted continuous frame results is simple and efficient. The experimental results show that STBT can predict the future deviation state of the belt well. Copyright© JACA 2022 All rights reserved.

关键词： Belt conveyors

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Scheduled Sampling Training Framework for ANN-Based PID control

Scheduled Sampling Training Framework for ANN-Based PID Cont...

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International Conference on Emerging Technologies and Factory automation (ETFA)

作者： Pau Comas Jose Lopez Vicario Antoni Morell Ramon Vilanova Wireless Information Networking (WIN) Research Group Escola d'Enginyeria Universitat Autònoma de Barcelona Bellaterra Spain Automation and Advanced Control Systems (ASAC) Research Group Escola d'Enginyeria Universitat Autònoma de Barcelona Bellaterra Spain

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

Proportional-Integral-Derivative (PID) controllers are extensively used in industrial control applications due to their simplicity and effectiveness in various control tasks. In recent years, there has been a growing emphasis on the integration of Artificial Neural Networks (ANNs) with control theory. This integration aims to harness the versatility of ANNs to facilitate controller design in dynamic environments. Additionally, it opens the possibility of transfer learning for these models, allowing knowledge gained from one control scenario to be applied to others' thereby enhancing adaptability and efficiency in control applications. In this work-in-progress paper, we propose a training framework that addresses the key challenges of modeling PIDs as ANNs, specifically the discrepancy between training and inference behaviors, known as exposure bias, commonly encountered in text summarization models. To tackle this, we integrate scheduled sampling, a technique devised for text sequence generation tasks, with an online control simulation environment.

关键词： Training Adaptation models PI control Transfer learning Text summarization process control Artificial neural networks control theory PD control Manufacturing automation

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Trajectory Tracking for Directional Drilling in Underground Coal Mine Using Robust Model Predictive control 26

Trajectory Tracking for Directional Drilling in Underground ...

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26th International Conference on Industrial Technology, ICIT 2025

作者： Wu, Jiajun Lu, Chengda Li, Hao Wei, Hongchao Wu, Min School of Future Technology China University of Geosciences Wuhan430074 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Xi'an Research Institute Co. Ltd. China Coal Technology and Engineering Group Xi'an710077 China China Coal Research Institute Beijing100013 China

ISBN: (纸本)9798331521950

This paper studies the problem of trajectory tracking control for directional drilling in underground coal mine by devising a robust model predictive control method. First, a directional drilling trajectory extension model is obtained by the linearization of a drilling tool kinematic model through the Taylor series expansion in the borehole depth domain. Then, in view of the influence of the uncertainty of the drilling tool slope and external interference, a robust model predictive control method is introduced in the form of an optimal control problem. A sufficient condition is obtained to calculate the corresponding controller gain matrix on the premise of satisfying the stability of the closedloop control system and the H∞ performance index. At last, the effectiveness of our method is illustrated through simulation analysis. Compared with model predictive control, robust model predictive control directly incorporates the uncertainty of the drilling tool slope and external interference into the control design, enabling it to better adapt to the complex and variable underground coal mine environment. © 2025 IEEE.

关键词： Predictive control systems

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