scholarly journals Allocation Optimization of Multi-Axis Suspension Dynamic Parameter for Tracked Vehicle

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Qihui Ling ◽  
Juchuan Dai ◽  
Xingyun He ◽  
Shengzhao Chen ◽  
Zhewu Chen
Keyword(s):  
Performance Optimization ◽  
Performance Index ◽  
Expert Knowledge ◽  
Dynamic Parameter ◽  
Optimization Method ◽  
Suspension System ◽  
Equal Weight ◽  
Tracked Vehicle ◽  
Road Roughness ◽  
Weight Allocation

The dynamic parameter allocation of the suspension system has an important influence on the comprehensive driving performance of the tracked vehicle. Usually, the allocation of suspension parameters is based on a single performance index, which has the disadvantage of not being able to achieve multi-performance optimization. Therefore, a novel optimization method using multi-performance index-oriented is presented. Firstly, considering the vertical vibration excitation caused by road roughness, the input (excitation) model of road roughness is embedded to establish the parametric dynamic model of the tracked vehicle. Then, the evaluation index and its quantitative algorithm, which reflect the multi-aspect performance of the suspension system, are proposed. Moreover, the parameter allocation objective function based on multi-index information fusion is designed. Finally, two allocation optimization methods are presented to solve the parameter allocation, i.e., equal weight allocation and expert knowledge-based weight allocation. By comparing the results obtained by the two methods, it is found that the performance of the suspension system can be improved effectively by optimizing the parameters of suspension stiffness and damping. Furthermore, the optimization of weight allocation based on expert knowledge is more effective. These provide a better knowledge reference for suspension system design.

Study Effects of Vehicle Velocity on a Road Surface Roughness Simulation

2013 ◽  
Vol 372 ◽  
pp. 650-656 ◽  
Author(s):  
Kazem Reza-Kashyzadeh ◽  
Mohammad Jafar Ostad-Ahmad-Ghorabi ◽  
Alireza Arghavan
Keyword(s):  
Optimization Method ◽  
Suspension System ◽  
The Road ◽  
Physical Measurements ◽  
Road Roughness ◽  
Broad Term ◽  
Vehicle Velocity ◽  
Instrumented Vehicles ◽  
Road Surface Roughness ◽  
Automotive Suspension

Road roughness is a broad term that incorporates everything from potholes and cracks to the random deviations that exist in a profile. To build a roughness index, road irregularities need to be measured first. Existing methods of gauging the roughness are based either on visual inspections or using one of a limited number of instrumented vehicles that can take physical measurements of the road irregularities. This paper presents used a quarter car model (passive suspension System in 206 Peugeot) in according road classification ISO 2631-1 is achieved road roughness interval in form of optimization method Gamma (4p) distribution as PSD function in different constant speed of car (34, 70 and 100 Km/h) by using Matlab Code. Finally, to have accurate results and to describe effect of vehicle velocity on irregularity surfaces incoming Automotive Suspension System, are compared road roughness in terms of travel length and PSD function in terms of Frequency Hz. Keyword: Road Roughness, PSD function, Vehicle Velocity, Gamma (4p) distribution.

Design of vibration damping test mechanism for suspension system of high speed tracked vehicle based on vertical linkage decoupling

2021 ◽  
pp. 095440622110424
Author(s):  
Xuedong Liu ◽  
Yong Guo ◽  
Zhewu Chen ◽  
Juchuan Dai ◽  
Qihui Lin ◽  
...  
Keyword(s):  
Performance Optimization ◽  
High Speed ◽  
Performance Testing ◽  
Virtual Prototype ◽  
Vibration Damping ◽  
Suspension System ◽  
Contact Theory ◽  
Prototype Model ◽  
Tracked Vehicle ◽  
And Performance

The suspension test-rig is restricted by the compound swing motion of the load wheel in a high-speed tracked vehicle, and cannot test the damping performance for the suspension system of the high-speed tracked vehicle with the track. A vibration damping testing mechanism using vertical linkage to decouple the compound swing motion of the load wheel is proposed for suspension performance testing with the track. Using Hertz elastic contact theory to solve the stiffness coefficient between load wheel and excitation wheel, a virtual prototype model for vibration damping test mechanism with vertical linkage is established in ADAMS. Correctness of the virtual prototype model is verified by experiment. The motion decoupling ability of the vibration damping testing mechanism is verified by simulation. The dynamic characteristics for each pair of guide and slider in vibration damping testing mechanism are analyzed under the condition of maximum excitation force and displacement, and the selection criteria of slider and guide contained in the motion pair components are acquired. The mechanism decouples the compound swing motion of the load wheel successfully, and can make suspension system performance testing in high-precision for the high-speed tracked vehicle with track realized, playing an important role in parameters design and performance optimization for the high-speed tracked vehicle.

scholarly journals An Adaptive Metamodel-Based Optimization Approach for Vehicle Suspension System Design

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Qinwen Yang ◽  
Jin Huang ◽  
Gang Wang ◽  
Hamid Reza Karimi
Keyword(s):  
Performance Optimization ◽  
Optimization Method ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Optimization Approach ◽  
Adaptive Optimization ◽  
Performance Indexes ◽  
Parameter Interval ◽  
Kinematic Performance ◽  
Vehicle Suspension System

The performance index of a suspension system is a function of the maximum and minimum values over the parameter interval. Thus metamodel-based techniques can be used for designing suspension system hardpoints locations. In this study, an adaptive metamodel-based optimization approach is used to find the proper locations of the hardpoints, with the objectives considering the kinematic performance of the suspension. The adaptive optimization method helps to find the optimum locations of the hardpoints efficiently as it may be unachievable through manually adjusting. For each iteration in the process of adaptive optimization, prediction uncertainty is considered and the multiobjective optimization method is applied to optimize all the performance indexes simultaneously. It is shown that the proposed optimization method is effective while being applied in the kinematic performance optimization of a McPherson suspension system.

scholarly journals In-Orbit Operational Parameter Calculation and Performance Optimization in KOMPSAT-6 Synthetic Aperture Radar

2021 ◽  
Vol 13 (12) ◽  
pp. 2342
Author(s):  
Jin-Bong Sung ◽  
Sung-Yong Hong
Keyword(s):  
Synthetic Aperture Radar ◽  
Performance Optimization ◽  
Pulse Repetition Frequency ◽  
Optimization Method ◽  
Synthetic Aperture ◽  
Operational Parameters ◽  
Operational Parameter ◽  
Design Methodologies ◽  
And Performance ◽  
Aperture Radar

A new method to design in-orbit synthetic aperture radar operational parameters has been implemented for the Korean Multi-purpose Satellite 6 mission. The implemented method optimizes the pulse repetition frequency when a satellite altitude changes from its nominal one, so it has the advantage that the synthetic aperture radar performances can satisfy the requirements for the in-orbit operation. Other commanding parameters have been designed to conduct trade-off between those parameters. This paper presents the new optimization method to maintain the synthetic aperture radar performances even in the case of an altitude variation. Design methodologies to determine operational parameters, respectively, at nominal altitude and in orbit are presented. In addition, numerical simulation is presented to validate the proposed optimization and the design methodologies.

scholarly journals A Fast Optimization Method for Reliability and Performance of Cloud Services Composition Application

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Zhao Wu ◽  
Naixue Xiong ◽  
Yannong Huang ◽  
Qiong Gu ◽  
Chunyang Hu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
State Space ◽  
Generating Function ◽  
Performance Optimization ◽  
Optimization Method ◽  
Cloud Services ◽  
Services Composition ◽  
Fast Optimization ◽  
And Performance ◽  
Universal Generating Function

At present the cloud computing is one of the newest trends of distributed computation, which is propelling another important revolution of software industry. The cloud services composition is one of the key techniques in software development. The optimization for reliability and performance of cloud services composition application, which is a typical stochastic optimization problem, is confronted with severe challenges due to its randomness and long transaction, as well as the characteristics of the cloud computing resources such as openness and dynamic. The traditional reliability and performance optimization techniques, for example, Markov model and state space analysis and so forth, have some defects such as being too time consuming and easy to cause state space explosion and unsatisfied the assumptions of component execution independence. To overcome these defects, we propose a fast optimization method for reliability and performance of cloud services composition application based on universal generating function and genetic algorithm in this paper. At first, a reliability and performance model for cloud service composition application based on the multiple state system theory is presented. Then the reliability and performance definition based on universal generating function is proposed. Based on this, a fast reliability and performance optimization algorithm is presented. In the end, the illustrative examples are given.

Simulation-Based Hybrid Optimization Method for the Digital Twin of Garment Production Lines

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Woo-Kyun Jung ◽  
Young-Chul Park ◽  
Jae-Won Lee ◽  
Eun Suk Suh
Keyword(s):  
Expert Knowledge ◽  
Structural Characteristics ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Optimization Process ◽  
Production Lines ◽  
Distribution Method ◽  
Workload Analysis ◽  
Hybrid Optimization Method ◽  
Simulation Based

AbstractImplementing digital transformation in the garment industry is very difficult, owing to its labor-intensive structural characteristics. Further, the productivity of a garment production system is considerably influenced by a combination of processes and operators. This study proposes a simulation-based hybrid optimization method to maximize the productivity of a garment production line. The simulation reflects the actual site characteristics, i.e., process and operator level indices, and the optimization process reflects constraints based on expert knowledge. The optimization process derives an optimal operator sequence through a genetic algorithm (GA) and sequentially removes bottlenecks through workload analysis based on the results. The proposed simulation optimization (SO) method improved productivity by ∼67.4%, which is 52.3% higher than that obtained by the existing meta-heuristic algorithm. The correlation between workload and production was verified by analyzing the workload change trends. This study holds significance because it presents a new simulation-based optimization model that further applies the workload distribution method by eliminating bottlenecks and digitizing garment production lines.

scholarly journals Effect of Road Profile on Suspension System of Heavy Truck

2019 ◽  
Vol 12 (2) ◽  
pp. 71-75
Author(s):  
Salem F. Salman
Keyword(s):  
Steering System ◽  
Suspension System ◽  
The Road ◽  
Road Profile ◽  
Road Roughness ◽  
Road Type ◽  
Heavy Truck ◽  
Main Factors ◽  
On The Road ◽  
The Stability

All vehicles are affected by the type of the road they are moving on it.  Therefore the stability depends mainly on the amount of vibrations and steering system, which in turn depend on two main factors: the first is on the road type, which specifies the amount of vibrations arising from the movement of the wheels above it, and the second on is the type of the used suspension system, and how the parts connect with each other. As well as the damping factors, the tires type, and the used sprungs. In the current study, we will examine the effect of the road roughness on the performance coefficients (speed, displacement, and acceleration) of the joint points by using a BOGE device.

Predicting Truck Load Variation Using Q-Truck Model

2014 ◽  
Vol 534 ◽  
pp. 105-110
Author(s):  
Rosnawati Buhari ◽  
Mohd Ezree Abdullah ◽  
Munzilah Md Rohani
Keyword(s):  
Asphalt Concrete ◽  
Radial Strain ◽  
Suspension System ◽  
Vehicle Speed ◽  
Pavement Distress ◽  
Traffic Loads ◽  
Road Roughness ◽  
Heavy Truck ◽  
Truck Load ◽  
Pavement Damage

The study of heavy vehicle forces on pavement is important for both vehicle and pavement. Indeed it was identified several factors such as environment, materials and design consideration affects pavement damage over time with traffic loads playing a key role in deterioration. Therefore, this paper presents dynamically varying tire pavement interaction load, thus enable to assess the strain response of pavements influenced by road roughness, truck suspension system, variation of axle loading and vehicle speed. A 100m pavement with good evenness was simulated to check the sensitivity of the dynamic loads and heavy truck vertical motions to the roughness. The most important performance indicators that are required in pavement distress evaluation are radial strain at the bottom of the asphalt concrete and vertical strain at the subgrade surface was predicted using peak influence function approach. The results show that truck speed is the most important variables that interact with truck suspension system and thus effect of loading time are extremely important when calculating the critical.

An improved aerodynamic performance optimization method of 3-D low Reynolds number rotor blade

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Shuyi Zhang ◽  
Bo Yang
Keyword(s):  
Neural Network ◽  
Reynolds Number ◽  
Performance Optimization ◽  
Rotor Blade ◽  
Optimization Method ◽  
Aerodynamic Performance ◽  
Aerodynamic Optimization ◽  
Parametrization Method ◽  
Value Evaluation ◽  
Fitness Value

Abstract In this paper, an improved aerodynamic performance optimization method for 3-D low Reynolds number (Re) rotor blade is proposed. A conventional optimization procedure of blade is usually divided into three parts, such as the parameterization method, the fitness value evaluation and the optimization algorithm. This work is mainly focused on the first two parts. The parametrization method, Camber-FFD, is presented based on the camber parametrization method and the free-form deformation algorithm (FFD). The shape of 3-D blade is parameterized by the incidence angles and the coordinates of the maximum camber points. The fitness value evaluation has been realized with the help of an adaptive topological back propagation multi-layer forward artificial neural network (BP-MLFANN). During the training of BP-MLFANN, the hybrid particle swarm optimization method combined with the modified very fast simulate annealing algorithm (HPSO-MVFSA) is adopted to determine the neural network topology adaptively. To verify the effectiveness of this aerodynamic optimization method, the aerodynamic performance of a 3-D low-Re blade, such as Blade D900, is optimized, and the results are compared and analyzed based on the experiments and simulations. It is proved that this aerodynamic optimization method is feasible.

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