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Optimization of aero-engine pipeline for avoiding vibration based on length adjustment of straight-line

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 11-11 doi: 10.1007/s11465-021-0667-x

Abstract: In the design and troubleshooting of aero-engine pipeline, the vibration reduction of the pipeline systemmethod of avoiding vibration of aero-engine pipeline is proposed.process constraints and vibration avoidance constraints, the optimization model of the pipeline systemBased on the analysis of the influence of straight-line segment length on the vibration characteristicsof the genetic algorithm for length optimization of a single straight-line segment.

Keywords： length adjustment     spatial pipeline     aero-engine     vibration avoidance optimization     genetic algorithm    

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A new efficient optimal path planner for mobile robot based on Invasive Weed Optimization algorithm

Prases K. MOHANTY,Dayal R. PARHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 317-330 doi: 10.1007/s11465-014-0304-z

Abstract: In this paper Invasive Weed Optimization (IWO), a new meta-heuristic algorithm, has been implementedThis meta-heuristic optimization is based on the colonizing property of weeds.First we have framed an objective function that satisfied the conditions of obstacle avoidance and target

Keywords： mobile robot     obstacle avoidance     Invasive Weed Optimization     navigation    

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Application of coupled multi-body dynamics–discrete element method for optimization of particle damperfor cable vibration attenuation

Danhui DAN, Qianqing WANG, Jiongxin GONG

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 244-252 doi: 10.1007/s11709-021-0696-x

Abstract: With the application of the particle damping technology to cable vibration attenuation, the rootless

Keywords： granular material     vibration control     discrete element method     particle damper     cable vibration    

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Using improved particle swarm optimization totune PID controllers in cooperative collision avoidance Article

Xing-chen WU, Gui-he QIN, Ming-hui SUN, He YU, Qian-yi XU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1385-1395 doi: 10.1631/FITEE.1601427

Abstract: The introduction of proportional-integral-derivative (PID) controllersinto cooperative collision avoidancesystems (CCASs) has been hinderedby difficulties in their optimization and by a lack of study of theireffectsInthis paper, we propose a method to optimize PID controllers usingan improved particle swarm optimization(PSO) algorithm, and to bettermanipulate cooperative collision avoidance with other vehicles.Finally, we perform a simulation test of performancebefore and after the optimization of the PID controller

Keywords： Cooperative collision avoidance system (CCAS)     Improved particle swarm optimization (PSO)     PID controller    

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Non-convex sparse optimization-based impact force identification with limited vibration measurements

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0762-2

Abstract: Impact force identification is important for structure health monitoring especially in applications involving composite structures. Different from the traditional direct measurement method, the impact force identification technique is more cost effective and feasible because it only requires a few sensors to capture the system response and infer the information about the applied forces. This technique enables the acquisition of impact locations and time histories of forces, aiding in the rapid assessment of potentially damaged areas and the extent of the damage. As a typical inverse problem, impact force reconstruction and localization is a challenging task, which has led to the development of numerous methods aimed at obtaining stable solutions. The classical ℓ2 regularization method often struggles to generate sparse solutions. When solving the under-determined problem, ℓ2 regularization often identifies false forces in non-loaded regions, interfering with the accurate identification of the true impact locations. The popular ℓ1 sparse regularization, while promoting sparsity, underestimates the amplitude of impact forces, resulting in biased estimations. To alleviate such limitations, a novel non-convex sparse regularization method that uses the non-convex ℓ1−2 penalty, which is the difference of the ℓ1 and ℓ2 norms, as a regularizer, is proposed in this paper. The principle of alternating direction method of multipliers (ADMM) is introduced to tackle the non-convex model by facilitating the decomposition of the complex original problem into easily solvable subproblems. The proposed method named ℓ1−2-ADMM is applied to solve the impact force identification problem with unknown force locations, which can realize simultaneous impact localization and time history reconstruction with an under-determined, sparse sensor configuration. Simulations and experiments are performed on a composite plate to verify the identification accuracy and robustness with respect to the noise of the ℓ1−2-ADMM method. Results indicate that compared with other existing regularization methods, the ℓ1−2-ADMM method can simultaneously reconstruct and localize impact forces more accurately, facilitating sparser solutions, and yielding more accurate results.

Keywords： impact force identification     inverse problem     sparse regularization     under-determined condition     alternating direction method of multipliers    

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Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

Engineering doi: 10.1016/j.eng.2023.07.018

Abstract: The forward design of trajectory planning strategies requires preset trajectory optimization functions, it is necessary to design numerous trajectory optimization functions and adjust the corresponding parameterstheory to learn the extracted expert-demonstrated trajectories and achieve automatic acquisition of the optimizationwith the weight of the optimization function, and an anthropomorphic obstacle avoidance trajectory planningThe results show that the strategy can adjust the weight distribution of the trajectory optimization

Keywords： Obstacle avoidance trajectory planning     Inverse reinforcement theory     Anthropomorphic     Adaptive driving    

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Topology optimization of piezoelectric bi-material actuators with velocity feedback control

Mariana MORETTI, Emílio C. N. SILVA

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 190-200 doi: 10.1007/s11465-019-0537-y

Abstract: Particularly, structures designed for dynamic actuation with reduced vibration response are the focusmultifunctional concepts are considered for the design of a controlled piezoelectric actuator with vibrationsuppression by means of the topology optimization method (TOM).The dynamic equation analyzed throughout the optimization procedure is fully elaborated and implementedA gradient-based optimization method is applied to minimize the displacement energy output measured at

Keywords： topology optimization method     bi-material piezoactuator     active velocity feedback control     time-domain transientanalysis     host structure design     vibration suppression    

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Parasitic rotation evaluation and avoidance of 3-UPU parallel mechanism

Haibo QU, Yuefa FANG, Sheng GUO

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 2,   Pages 210-218 doi: 10.1007/s11465-012-0317-4

Abstract: Finally, the method for avoidance of possible parasitic motions is presented by adding redundantly actuated

Keywords： parallel mechanism     3-UPU (universal-prismatic-universal joint)     parasitic motions     limited clearance     redundantly actuated limbs    

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The Shortest Path for Mobile Robots in Obstacle Avoidance

Guo Ge

Strategic Study of CAE 2003, Volume 5, Issue 5,   Pages 70-75

Abstract:

An obstacle avoidance strategy for mobile robot is presented based on obstacle position and size informationFurthermore, rational robot paths in obstacle avoidance are discussed in detail, which leads to the final

Keywords： mobile robot     ultrasonic sensor     obstacle avoidance     path planning     optimal path    

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Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 976-989 doi: 10.1007/s11709-022-0840-2

Abstract: Vibration-based damage detection methods have become widely used because of their advantages over traditionalThis paper presents a new approach to identify the crack depth in steel beam structures based on vibrationanalysis using the Finite Element Method (FEM) and Artificial Neural Network (ANN) combined with Butterfly Optimization

Keywords： damage prediction     ANN     BOA     FEM     experimental modal analysis    

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Vibration characteristics and machining performance of a novel perforated ultrasonic vibration platform

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0730-2

Abstract: Ultrasonic vibration-assisted grinding (UVAG) is an advanced hybrid process for the precision machiningIts performance considerably influences the vibration amplitude and resonant frequency.In this work, a novel perforated ultrasonic vibration platform resonator was developed for UVAG.vibration characteristics.The performance of the vibration platform was evaluated by the vibration tests and UVAG experiments of

Keywords： ultrasonic vibration-assisted grinding     perforated ultrasonic vibration platform     vibration characteristics    

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Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 45-50

Abstract:

The vibration of powerhouse structures is mainly induced by hydraulicsprototype observation data of Ertan Hydropower Station, the paper analyzes the coupling effect between vibrationof units and powerhouse,and then the vibration response forecasting model of the powerhouse is builtbased on LS-SVM optimized by particle swarm optimization algorithm, and the prediction results are coincide

Keywords： powerhouse     coupled vibration     particle swarm optimization algorithm     least squares support vector machines    

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Recent development of vibration utilization engineering

WEN Bangchun

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 1-9 doi: 10.1007/s11465-008-0017-2

Abstract: The utilization of vibration and wave, which was developed during the latter half of the 20th centuryThus, due to its necessity in industry and daily life, extensive research has been devoted to vibrationIn this paper, vibration utilization is classified into linear or non-linear vibrations, waves, and electric-magneticSome research results about vibration utilization engineering are described.

Keywords： utilization engineering     non-linear     vibration     vibration utillization     utillization engineering    

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Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization Research

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.2000066

Abstract: We propose multi-objective social learning (MSLPIO) and apply it to for formation. In the algorithm, each pigeon learns from the better pigeon but not necessarily the global best one in the update process. A social learning factor is added to the map and compass operator and the landmark operator. In addition, a dimension-dependent parameter setting method is adopted to improve the blindness of parameter setting. We simulate the flight process of five UAVs in a complex obstacle environment. Results verify the effectiveness of the proposed method. MSLPIO has better convergence performance compared with the improved multi-objective and the improved non-dominated sorting genetic algorithm.

Keywords： 无人机；避障；鸽群优化；多目标社会学习鸽群优化    

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Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration

Guilian YI, Yunkang SUI, Jiazheng DU

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 229-234 doi: 10.1007/s11465-011-0128-z

Abstract:

To reduce vibration and noise, a damping layer and constraint layer are usually pasted on the innersurface of a gearbox thin shell, and their thicknesses are the main parameters in the vibration andThe normal acceleration of the point on the gearbox surface is the main index that can reflect the vibrationcharacteristics of the whole structure, and the vibration acceleration level is adopted to measure thedegree of the vibration and noise.

Keywords： Abaqus secondary development     Python language     vibration and noise reduction     K-S function     vibration acceleration    

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Title Author Date Type Operation

Optimization of aero-engine pipeline for avoiding vibration based on length adjustment of straight-line

Journal Article

A new efficient optimal path planner for mobile robot based on Invasive Weed Optimization algorithm

Prases K. MOHANTY,Dayal R. PARHI

Journal Article

Application of coupled multi-body dynamics–discrete element method for optimization of particle damperfor cable vibration attenuation

Danhui DAN, Qianqing WANG, Jiongxin GONG

Journal Article

Using improved particle swarm optimization totune PID controllers in cooperative collision avoidance

Xing-chen WU, Gui-he QIN, Ming-hui SUN, He YU, Qian-yi XU

Journal Article

Non-convex sparse optimization-based impact force identification with limited vibration measurements

Journal Article

Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

Journal Article

Topology optimization of piezoelectric bi-material actuators with velocity feedback control

Mariana MORETTI, Emílio C. N. SILVA

Journal Article

Parasitic rotation evaluation and avoidance of 3-UPU parallel mechanism

Haibo QU, Yuefa FANG, Sheng GUO

Journal Article

The Shortest Path for Mobile Robots in Obstacle Avoidance

Guo Ge

Journal Article

Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Journal Article

Vibration characteristics and machining performance of a novel perforated ultrasonic vibration platform

Journal Article

Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Journal Article

Recent development of vibration utilization engineering

WEN Bangchun

Journal Article

Multi-UAV obstacle avoidance control via multi-objective social learning pigeon-inspired optimization

Wan-ying Ruan, Hai-bin Duan,wyruan@buaa.edu.cn,hbduan@buaa.edu.cn

Journal Article

Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration

Guilian YI, Yunkang SUI, Jiazheng DU

Journal Article