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Nonlinear stress analysis of aero-engine pipeline based on semi-analytical method

Applied Mathematics and Mechanics(English Edition) 2025年第3期46卷 521-538页

作者： Weijiao CHEN Xiaochi QU Ruixin ZHANG Xumin GUO Hui MA Bangchun WEN School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China Northeastern UniversityShenyang 110819China

Fatigue failure caused by vibration is the most common type of pipeline *** core of this research is to obtain the nonlinear dynamic stress of a pipeline system accurately and efficiently,a topic that needs to be explored in the existing *** shell theory can better simulate the circumferential stress distribution,and thus the Mindlin-Reissner shell theory is used to model the *** this paper,the continuous pipeline system is combined with clamps through modal expansion for the first time,which realizes the coupling problem between a shell and a *** the Bouc-Wen model is used to simulate the nonlinear external force generated by a clamp,the nonlinear coupling characteristics of the system are effectively ***,the dynamic equation of the clamp-pipeline system is established according to the Lagrange energy *** on the resonance frequency and stress amplitude obtained from the experiment,the nonlinear parameters of the clamp are identified with the semi-analytical method(SAM)and particle swarm optimization(PSO)*** study provides a theoretical basis for the clamp-pipeline system and an efficient and universal solution for stress prediction and analysis of pipelines in engineering.

关键词： pipeline modeling stress analysis nonlinear-clamp support nonlinear vibration

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Gradient Descent-Based Adaptive control for Time-Varying Command Following

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IEEE Transactions on Automatic control 2025年第6期70卷 4069-4076页

作者： Jaramillo, Jesse Yucelen, Tansel University of South Florida Laboratory for Autonomy Control Information and Systems Department of Mechanical Engineering TampaFL33620 United States

Output regulation theory is an effective method for achieving accurate time-varying command following and can utilize adaptive internal models to follow arbitrary reference signals generated by an exosystem. However, implementing these models can still lead to complexities, particularly regarding increased controller order and the dimensionality of gain matrices. This paper contributes a gradient descent-based adaptive control method for uncertain dynamical systems. This method offers an alternative approach for the time-varying command following problem by altering both reference model trajectories and the control signal. As the gain of the proposed method increases, it can enable following every potential time-varying command profile without specificity. In addition to the presented system-theoretical results, three illustrative numerical examples are included to show the efficacy of the proposed gradient descent-based term for the time-varying command following problem. © 1963-2012 IEEE.

关键词： Model reference adaptive control

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Evaluating Carbon Emissions of Hybrid Manufacturing Process: A Case Study on Additive and Subtractive Manufacturing 20

Evaluating Carbon Emissions of Hybrid Manufacturing Process:...

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20th CIRP Conference on Modeling of Machining Operations in Mons, CIRP CMMO 2025

作者： Panagiotopoulou, Vasiliki C. Xydea, Evangelia Stavropoulos, Panagiotis Laboratory for Manufacturing Systems and Automation Department of Mechanical Engineering and Aeronautics University of Patras 26504 Greece

All environmental issues, and particularly climate change, have irreversible environmental, social, and financial impacts. Significantly reducing carbon emissions by 2030, as the highest contributor to climate change, is a vital for EU as expressed in the European Green Deal. In this direction, sustainable manufacturing intends to reduce negative impacts by minimizing energy consumption, lowering carbon emissions, and optimizing resource efficiency. Hybrid Manufacturing (HM), combining additive (AM) and subtractive manufacturing (SM) processes, is a very promising process in sustainable manufacturing, in addition of being a novel approach. The aim of this paper is to identify the carbon intensive parts of a HM cell, perform carbon footprint calculations through mathematical modelling and Life Cycle Assessment (LCA) and classify them as either energy or material related carbon emissions. This methodology is implemented in an HM including Direct Energy Deposition (DED) and CNC milling, successively alternating between the two to complete the part. Results indicate that at machine tool level, the material related emissions (4.64 kg CO2-eq), slightly dominate over the energy related emissions (4.51 kg CO2-eq). Powder consumption is almost solely responsible for material related emissions. Among energy related emissions, the AM cell's chiller was the largest contributor (accounting for 28.3% of the total emissions), followed by the AM head motion system (10.9%), and laser machine (9.6%), while the subtractive process emitting considerably less in this case. Future work will aim to optimize process parameters to reduce HM emissions while ensuring high product quality. © 2025 The Author(s).

关键词： Green manufacturing

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Assessing the impact of qualitative and quantitative parameters on additive manufacturing carbon emissions 12

Assessing the impact of qualitative and quantitative paramet...

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12th CIRP Global Web Conference, CIRPe 2024

作者： Paraskevopoulou, Aikaterini Panagiotopoulou, Vasiliki C. Stavropoulos, Panagiotis Laboratory for Manufacturing Systems & Automation Department of Mechanical Engineering and Aeronautics University of Patras 26504 Greece

The manufacturing sector significantly contributes to Climate Change via its high carbon emissions. This study aims to demonstrate the impact of qualitative (related to type of resources used) versus quantitative (related to the amount of resources used) parameters on the carbon emissions of Additive Manufacturing (AM). Calculation and categorization in different manufacturing levels (process, machine tool and system) is followed by a sensitivity analysis, to determine the impact of quantitative and qualitative parameters on the carbon emissions of different levels. Findings indicate that energy is the main driver at process and machine-tool levels regardless the qualitative or quantitative nature of parameters. In contrast, material type and amount have the highest impact at system level. Generally, the qualitative parameters are significantly more important than the quantity of resources regarding their influence on emissions, regardless the manufacturing level. These insights can support the decision-making procedure towards reduction of AM carbon emissions. © 2025 The Author(s).

关键词： Low emission

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Data-driven finite-time adaptive attitude tracking control for spacecraft

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Advances in Space Research 2025年第12期75卷 8780-8791页

作者： Wang, Jianhui He, Guangping Bian, Guibin Geng, Shixiong College of Mechanical & Energy Engineering Beijing University Of Technology Beijing100124 China Department of Mechanical and Electrical Engineering North China University of Technology Beijing100144 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

This paper proposes a novel data-driven finite-time adaptive control method for the spacecraft attitude tracking control problem with inertial uncertainty. Based on the dynamic regression extension technique, the disturbance unit matrix is introduced, and the parameter estimation law in the form of algebraic equations is presented, which realizes the arbitrarily small convergence of parameter estimation error. The convergence of parameter estimation errors is verified through stability analysis. Globally non-singular fast terminal sliding mode control is designed to achieve finite-time arrival of the sliding surface and convergence of the system state error. The stability analysis of the closed-loop system demonstrates the effectiveness of the proposed method. Furthermore, the effectiveness and superiority of the proposed method are verified through numerical simulations of spacecraft attitude tracking control. © 2025 COSPAR

关键词： Attitude control

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Reference geometries and indicators for the proce b window development of wire Directed Energy Deposition 1

Reference geometries and indicators for the proce b window d...

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1st International Conference on Digital Sovereignty, ICDS 2024

作者： Tzimanis, Konstantinos Porevopoulos, Nikolas Bourlesas, Nikolas Stavropoulos, Panagiotis Laboratory for Manufacturing Systems and Automation Department of Mechanical Engineering and Aeronautics University of Patras Rio Patra26504 Greece

The industrial interest for Directed Energy Deposition (DED) proce bes increases;however, intensive experimental work is needed for the determination of proce b inputs each time a new material and machine are investigated, leading to waste of time and resources. Therefore, this work presents a structured way of determining the values of key proce b parameters based on reference geometries such as single tracks, thin walls, overlapping tracks and complex geometries as well as metrological responses from where acceptance thresholds are developed. In the present study, the methodology is implemented in a wire laser-based DED proce b;the working material is stainle b steel AISI316L while monitoring devices that capture the melt pool features, the over-built and finally the proce b performance are retrofitted to accelerate the transformation of proce b data to meaningful information and proce b knowledge. © 2025 The Author(s).

关键词： Velocity measurement

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Reference geometries and indicators for the process window development of wire Directed Energy Deposition 12

Reference geometries and indicators for the process window d...

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12th CIRP Global Web Conference, CIRPe 2024

The industrial interest for Directed Energy Deposition (DED) processes increases;however, intensive experimental work is needed for the determination of process inputs each time a new material and machine are investigated, leading to waste of time and resources. Therefore, this work presents a structured way of determining the values of key process parameters based on reference geometries such as single tracks, thin walls, overlapping tracks and complex geometries as well as metrological responses from where acceptance thresholds are developed. In the present study, the methodology is implemented in a wire laser-based DED process;the working material is stainless steel AISI316L while monitoring devices that capture the melt pool features, the over-built and finally the process performance are retrofitted to accelerate the transformation of process data to meaningful information and process knowledge. © 2025 The Author(s).

关键词： Process monitoring

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Interference Suppression and Jitter Elimination Ability-Based Adaption Tracking Guidance for Robotic Fishes

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 126-137页

作者： Dongfang Li Jie Huang Rob Law Xin Xu Limin Zhu Edmond Q.Wu IEEE the School of Electrical Engineering and Automation Fuzhou University the Key Laboratory of System Control and Information Processing Ministry of Education the School of Electrical Engineering and Automation Fuzhou University 5G+Industrial Internet Institute Fuzhou University the University of Macau the College of Mechatronics and Automation National University of Defense Technology the School of Mechanical Engineering Shanghai Jiao Tong University the Department of Computer Science and Engineering Shanghai Jiao Tong University

This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance rule is designed to eliminate dynamics interference and sideslip issues. Limited-time yaw and surge speed observers are reported to fit disturbance variables in the model. The approximation values can compensate for the system's control input and improve the robots' tracking ***, this work develops a terminal sliding mode controller and third-order differential processor to determine the rotational torque and reduce the robots' run jitter. Then, Lyapunov's theory proves the uniform ultimate boundedness of the proposed method. Simulation and physical experiments confirm that the technology improves the tracking error convergence speed and stability of robotic fishes.

关键词： Adaptive integral surge line-of-sight approximation robotic fish speed observer

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Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710049ShaanxiChina Shaanxi Key Laboratory of Intelligent Robots School of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049ShaanxiChina Department of Electrical Engineering and Automation Luoyang Institute of Science and TechnologyLuoyang 471023HenanChina School of Mechanical Engineering Hangzhou Dianzi UniversityHangzhou 310018ZhejiangChina

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

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Design and Performance Test of an H-shaped Bionic Piezoelectric Robot Based on the Standing Wave Principle

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Journal of Bionic engineering 2025年第2期22卷 608-625页

作者： Ying Li Chaofeng Li Zhiwei Wu Binbin Zhu Jinghu Tang School of Mechanical Engineering and Automation Northeastern UniversityShenyang110819People’s Republic of China Key Laboratory of Vibration and Control of Aero-propulsion Systems Northeastern UniversityShenyang110819People’s Republic of China State Key Laboratory of Internet of Things for Smart City University of MacaoMacao999078People’s Republic of China

In this paper,inspired by the running motion gait of a cheetah,an H-shaped bionic piezoelectric robot(H-BPR)based on the standing wave principle is proposed and *** piezoelectric robot realizes linear motion,turning motion,and turning motion with different radi by the voltage differential driving method.A prototype with a weight of 38 g and dimensions of 150×80×31 mm^(3) was ***,the dynamics and kinematics of the piezoelectric robot were analyzed to obtain the trajectory of a point at the end of the piezoelectric robot *** motion principle of the piezo-electric robot was analyzed,and then the piezoelectric robot's modal analysis and harmonic response analysis were carried out using finite element analysis ***,an experimental setup was built to verify the effectiveness and high efficiency of the robot's motion,and the effects of frequency,voltage,load,and height of the driving leg on the robot's motion performance were *** performance test results show that the piezoelectric robot has a maximum veloc-ity of 66.79 mm/s at an excitation voltage of 320 V and a load capacity of 55 *** addition,the H-BPR with unequal drive legs has better climbing performance,and the obtained conclusions are informative for selecting leg heights for piezoelectric robots.

关键词： Piezoelectric Standing wave principle Bionic Differential driving method Robot

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