scholarly journals Design of a suspension system and determining suspension parameters of a medium downforce small Formula type car

2017 ◽  
Vol 124 ◽  
pp. 07006
Author(s):  
Sadjyot Biswal ◽  
Aravind Prasanth ◽  
R. Udayakumar ◽  
Shobhit Deva ◽  
Aman Gupta
Keyword(s):  
Suspension System ◽  
Suspension Parameters ◽  
Formula Type

Double Wishbone Independent Suspension Parameter Optimization and Simulation

2014 ◽  
Vol 574 ◽  
pp. 109-113 ◽  
Author(s):  
Guang Tian ◽  
Yan Zhang ◽  
Jin Hua Liu ◽  
Xin Jie Shao
Keyword(s):  
Parameter Optimization ◽  
Optimization Design ◽  
Suspension System ◽  
Parameters Optimization ◽  
Front Suspension ◽  
Suspension Parameters ◽  
Optimization And Simulation ◽  
Suspension Performance

The wheeled armoredvehicle double wishbone independent suspension system, established the double wishbone suspension arm model, and optimized analysis. Optimization results show that: the suspension parameters optimization design, the front suspension performance has been greatly improved.

Performance Predictions for a Pneumatic Active Car Suspension System

1988 ◽  
Vol 202 (4) ◽  
pp. 243-250 ◽  
Author(s):  
R S Sharp ◽  
J H Hassan
Keyword(s):  
Active Control ◽  
Suspension System ◽  
Low Frequencies ◽  
Control Laws ◽  
Suspension Parameters ◽  
Car Suspension ◽  
Road Roughness ◽  
Performance Predictions ◽  
Set Up ◽  
Space Requirements

A mathematical model of a pneumatic active car suspension system in a single wheel station form excited by realistic road roughness input is set up. The active control is exerted through a d.c. motor-driven air-pump. The model is used to show that essentially all the advantages of active control, within the terms of reference, are obtained by employing the control only at low frequencies and having the suspension parameters adapt to the running conditions as they vary. Control laws are derived using limited state feedback, linear stochastic optimal control theory and power consumption, and space requirements are evaluated. System performance is shown to be good in comparison with other known arrangements and encouragement for further work to extend the results is given.

scholarly journals Influence of Suspension Parameters Changes of a Railway Vehicle on Output Quantities

2019 ◽  
Vol 10 (1) ◽  
pp. 20-29 ◽  
Author(s):  
Ján Dižo ◽  
Miroslav Blatnický ◽  
Stasys Steišūnas ◽  
Gediminas Vaičiūnas
Keyword(s):  
Dynamic Response ◽  
Ride Comfort ◽  
Suspension System ◽  
Railway Vehicle ◽  
Running Safety ◽  
Suspension Parameters ◽  
System A ◽  
Dynamic Analyses ◽  
Computer Analyses ◽  
Important Input

Abstract This article deals with computer analyses of output quantities of a railway vehicle depending on changing of parameters of suspension system. A passenger car was chosen for dynamic analyses. An analysed passenger railway vehicle uses two stage suspension system composed of coil springs and hydraulic dampers. Stiffness of coil springs of primary and secondary suspensions were defined for two states and its influence on output values in terms of quality and quantity was evaluated. As output variables, values of forces in a wheel/rail contact and accelerations in several locations on a wagon body floor were chosen. Values of forces in a wheel/rail contact indicate dynamic response of a railway vehicle running in terms of running safety and values of accelerations serve as important input for evaluation of passenger ride comfort.

Hydro-Pneumatic Passive Suspension System Performance Analysis using AMESim Software

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Nouby M. Ghazaly ◽  
Ahmad O. Moaaz
Keyword(s):  
Mathematical Model ◽  
Performance Analysis ◽  
System Performance ◽  
Suspension System ◽  
Road Surface ◽  
Passive Suspension ◽  
Suspension Parameters ◽  
Working Space ◽  
Pneumatic Suspension ◽  
Passive Suspension System

In this research, a mathematical model of quarter car hydro-pneumatic suspension system is built and developed using the AMESim software. The influence of hydro-pneumatic suspension system performance on the suspension parameters is presented on random road surface. The comparisons between passive and hydro-pneumatic suspension system is plotted. The result showed that the hydro­ pneumatic suspension system acceleration is reduced by 50%, 12% reduction in suspension working space and 3% reduction in dynamic tyre deflection in comparison with the traditional passive suspension system.

scholarly journals Evaluation of Ride Comfort in a Railway Passenger Car Depending on a Change of Suspension Parameters

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8138
Author(s):  
Ján Dižo ◽  
Miroslav Blatnický ◽  
Juraj Gerlici ◽  
Bohuš Leitner ◽  
Rafał Melnik ◽  
...  
Keyword(s):  
Standard Method ◽  
Ride Comfort ◽  
Theoretical Background ◽  
Suspension System ◽  
The Body ◽  
Passenger Car ◽  
Comfort Index ◽  
Suspension Parameters ◽  
Railway Passenger ◽  
Secondary Suspension

Ride comfort for passengers remains a pressing topic. The level of comfort in a vehicle can influences passengers’ preferences for a particular means of transport. The article aims to evaluate the influence of changes in suspension parameters on the ride comfort for passengers. The theoretical background includes a description of the applied method for a creating the virtual model of an investigated vehicle as well as the method of evaluating the ride comfort. The ride comfort of the vehicle is assessed based on the standard method, which involves calculating the mean comfort method, i.e., ride comfort index NMV in chosen points on a body floor. The NMV ride comfort index (Mean Comfort Standard Method) requires the input of acceleration signals in three directions. The rest of the article offers the results of simulation computations. The stiffness–damping parameters of the primary and secondary suspension systems were changed at three levels and the vehicle was run on the real track section. The ride index NMV was calculated for all three modifications of the suspension system in the chosen fifteen points of the body floor. It was found that lower values in the stiffness of the secondary suspension system lead to lower levels of ride comfort in the investigated railway passenger car; however, lower values in the stiffness–damping parameters of the primary suspension system did not decrease the levels of ride comfort as significantly.

Model Based Algorithm for the Study of the Vehicle Suspension

2016 ◽  
Vol 823 ◽  
pp. 247-252 ◽  
Author(s):  
Ion Preda
Keyword(s):  
Computer Program ◽  
Dynamic Performance ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Design Recommendations ◽  
Vehicle Suspensions ◽  
Suspension Parameters ◽  
Model Based ◽  
Input Parameters ◽  
Vehicle Suspension System

The design of a vehicle suspension system starts with very few input parameters. Simple models are used during initial simulations in order to ensure the desired compromise between comfort and dynamic performance qualities, at different vehicle speeds and loads. That stage leads to the setup of the needed suspension parameters on the model, mainly the stiffness of the suspension springs and tires and the damping coefficient.In an algorithmic way, this paper summarizes design recommendations existing in the field of vehicle suspensions. Based on the procedure in this article, a computer program was implemented in the software MDesign.

Determining optimal suspension system parameters for spring fatigue life using design of experiment

2019 ◽  
Vol 20 (6) ◽  
pp. 621
Author(s):  
Yat Sheng Kong ◽  
Shahrum Abdullah ◽  
Dieter Schramm ◽  
Salvinder Singh Karam Singh
Keyword(s):  
Fatigue Life ◽  
Design Of Experiment ◽  
Model Simulation ◽  
Suspension System ◽  
System Parameters ◽  
Quarter Car Model ◽  
Suspension Parameters ◽  
Multiple Input ◽  
Time Histories ◽  
Force Time

This paper presents the optimization of spring fatigue life associated with suspension system parameters using the design of experiment approach. The effects of suspension parameters on spring fatigue life were analyzed because this process can improve spring fatigue life from a distinct perspective. A quarter car model simulation was performed to obtain the force time histories for fatigue life prediction where the suspension parameters were adjusted. Multiple input regression and interaction plots were conducted to identify the interaction between these parameters. A full factorial experiment was performed to determine the optimal suspension settings that would maximize the spring fatigue life. For the regression, a high R 2 value of 0.9078 was obtained, indicating good fitting. The established regression showed normality and homoscedasticity for consistent prediction outcome. Reducing the spring stiffness and sprung mass while enhancing the damping coefficient is therefore suggested to enhance fatigue life.

scholarly journals Artificial neural network predication and validation of optimum suspension parameters of a passive suspension system

2019 ◽  
Vol 1 (6) ◽  
Author(s):  
Mahesh P. Nagarkar ◽  
M. A. El-Gohary ◽  
Yogesh J. Bhalerao ◽  
Gahininath J. Vikhe Patil ◽  
Rahul N. Zaware Patil
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Suspension System ◽  
Passive Suspension ◽  
Suspension Parameters ◽  
Passive Suspension System ◽  
Artificial Neural

Magnetic suspension mechanism using rotary permanent magnets

2020 ◽  
Vol 64 (1-4) ◽  
pp. 977-983
Author(s):  
Koichi Oka ◽  
Kentaro Yamamoto ◽  
Akinori Harada
Keyword(s):  
Permanent Magnets ◽  
Suspension System ◽  
Magnetic Suspension ◽  
Horizontal Force ◽  
Mechanical Contact ◽  
New Type ◽  
Magnetic Suspension System

This paper proposes a new type of noncontact magnetic suspension system using two permanent magnets driven by rotary actuators. The paper aims to explain the proposed concept, configuration of the suspension system, and basic analyses for feasibility by FEM analyses. Two bar-shaped permanent magnets are installed as they are driven by rotary actuators independently. Attractive forces of two magnets act on the iron ball which is located under the magnets. Control of the angles of two magnets can suspend the iron ball stably without mechanical contact and changes the position of the ball. FEM analyses have been carried out for the arrangement of two permanent magnets and forces are simulated for noncontact suspension. Hence, successfully the required enough force against the gravity of the iron ball can be generated and controlled. Control of the horizontal force is also confirmed by the rotation of the permanent magnets.

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