scholarly journals Investigation of the suspension of vehicles moving on stone roads

2020 ◽  
Vol 329 ◽  
pp. 01009
Author(s):  
Umar Vakhidov ◽  
Vladimir Makarov ◽  
Vladislav Klubnichkin ◽  
Evgeny Klubnichkin ◽  
Vladimir Belyakov
Keyword(s):  
Ride Comfort ◽  
Travel Speed ◽  
Mass Model ◽  
Work Time ◽  
Vibration Load ◽  
The Road ◽  
Calculation Results ◽  
Road Type ◽  
On The Road ◽  
Bed Slope

The paper studies the problem of traffic on mountain roads of natural origin. A mathematical model of a natural stone road is presented, the paper demonstrates also diagrams of “floodplain surface vs. support bed slope” correlation function. The calculation of the ride comfort of vehicles utilizes a four-mass model. Calculation results are demonstrated for a GAZ-3308 truck, as well as for a vehicle with half the suspension rate. The result obtained shows 30-50% reduction of the vibration load at a suspension rate reduction by 50%, dependent on the road type. The travel speed can be increased by 45% dependent on the road type and driver’s work time.

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.

Model of Carbon Dioxide (CO2) Emission from Motorcycle to the Manufactures, Engine Displacement, Service Life and Travel Speed

2015 ◽  
Vol 776 ◽  
pp. 361-370
Author(s):  
Agah Muhammad Mulyadi ◽  
Samsi Gunarta
Keyword(s):  
Global Warming ◽  
Service Life ◽  
Fuel Consumption ◽  
Negative Impact ◽  
Travel Speed ◽  
The Road ◽  
Consumption Data ◽  
On The Road ◽  
One Year ◽  
Method Analysis

By the end of 2012 the population of motorcycle reached 77.7 million units with their average composition on the road reached 82%. The number of motorcycles produce CO2 emissions which have a negative impact on global warming. Global warming occurs because the greenhouse effect of CO2 in the atmosphere absorb heat energy and obstructed the heat from the atmosphere to the higher surface.The data collected in this research is the data of motorcycles fuel consumption. The method of data processing by converting the fuel consumption data to CO2 emissions using the equation of the Clean Development Mechanism (CDM) AMS-III Methology. The purpose of this research is to create models of CO2 emissions on a motorcycle against several influential independent variables such as manufacture, service life, engine displacement (cc) and travel speed. Method analysis using correlation and regression analysis.Based on the regression analysis, the best combination that produces the lowest value of CO2 is a motorcycle with a combination of manufacture number 2, 5 years service life, engine displacement of 111-149 cc and travel speed of 60 km/h. Whereas from the the correlations analysis obtained the motorcycle of manufacture number 2 able to decrease up to 15% CO2 and motorcycles with engine displacement of 111-149 cc is able to reduce CO2 emission from 17% to 43%. While the service life of one year to six years resulting CO2 emissions which relatively similar with only difference of 15%. Furthermore, the travel speed of 60 km/h able to reduce CO2 emissions by up to 62%.

scholarly journals State Estimation Based on Sigma Point Kalman Filter for Suspension System in Presence of Road Excitation Influenced by Velocity of the Car

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Chi Nguyen Van
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Ride Comfort ◽  
Suspension System ◽  
Wheel Load ◽  
The Road ◽  
Sigma Point ◽  
Road Excitation ◽  
On The Road ◽  
Unsprung Mass

The states of the suspension system including the road excitation depend on the road quality, the velocity of the car, and the sprung mass. Those states play a very important role in the control problem of stability, ride comfort, ride safety, and dynamic wheel load of the suspension systems. The velocities and deflections of the sprung mass and unsprung mass would not be measured fully in the practice. Therefore, it must be estimated by other measured quantities from the system such as acceleration and deflection of sprung mass and unsprung mass. To control the active suspension system, its states need to be estimated accurately and guaranteed the response time. This paper presents the method using the sigma point Kalman filter to estimate the suspension system’s states including the road excitation, the deflections, and the velocities of the sprung mass and unsprung mass. The mathematical model of the suspension system is rewritten for the state estimation problem, and the stochastic load profile is supposed the main noise input. The stochastic characteristic of the road excitation depending on the car’s velocity is taken into account in the model used for suspension system state estimation. The results calculated based on the practical experiment data for specific road profile with some particular velocities of the car show that the suspension system states are estimated quite accurately in comparison with the practice states.

Research on Fuel Economy of Hybrid Electric Vehicles

2013 ◽  
Vol 718-720 ◽  
pp. 1435-1439
Author(s):  
Teng Teng Li ◽  
Kong Jian Qin ◽  
Jun Hua Gao ◽  
Feng Bin Wang
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Hybrid Electric Vehicles ◽  
Electricity Consumption ◽  
Total Quality ◽  
The Road ◽  
Calculation Results ◽  
Hybrid Electric ◽  
On The Road

On the road, fuel meter and electric power meter were employed to measure fuel consumption and electricity consumption of two parallel hybrid electric vehicles (PHEVs); Corrected methods recommended by SAE J2711 and GB/T 19754 respectively were used to modify fuel consumption of two vehicles through electricity consumption; According to the result, how total quality and Air-Condition (AC) load affect fuel economy were analyzed. Test results showed that, When K was less than 1%, relative error from calculation results of fuel consumption per 100 km obtained by above two methods was within 0.7%; Compared with AC off condition, fuel consumption per 100 km of PHEVs under AC on condition increased by more than 42%, which caused bad fuel economy, the effect of fuel-saving was decreased by 10% or more accordingly.

scholarly journals Rancang Bangun Konstruksi Rangka Dan Bak Penampung Alat Penyapu Jalan

2019 ◽  
Vol 11 (1) ◽  
pp. 33-36
Author(s):  
Muhammad Ziyad ◽  
Aidil Zamri ◽  
Zulhendri Zulhendri
Keyword(s):  
Traffic Flow ◽  
Work Time ◽  
The Road ◽  
Working Principle ◽  
On The Road

At this time in the process of sweeping the road still using traditional tools by janitors, for example broom sticks. One of the technologies that began to develop was the Street Sweeper machine. This Street Sweeper is a tool to help alleviate the work of janitors in terms of road sweeping. Sweeping the highway using the Street Sweeper is one of the main steps to accelerate the process of sweeping the highway with rapid traffic flow. The working principle of this machine is by utilizing thrust from humans, by means of a machine being pushed and directed to the garbage scattered on the road. Therefore it is very appropriate to use Street Sweeper to sweep the road compared to using manual tools because it can save work time

Integrated Performance Optimization of Truck Suspension Parameters Based on Gradient Optimization

2011 ◽  
Vol 308-310 ◽  
pp. 1935-1940
Author(s):  
Jian Wei Yang ◽  
Jun Zhe Dong ◽  
Guang Ye Zhang
Keyword(s):  
Performance Optimization ◽  
Ride Comfort ◽  
Prototype Model ◽  
Suspension Spring ◽  
The Road ◽  
Suspension Parameters ◽  
Gradient Optimization ◽  
On The Road ◽  
Integrated Performance ◽  
Multi Body

In order to ensure the truth and feasibility of constraints during the optimization of suspension parameters, a method, combining gradient optimization with ADAMS, is put forward to optimize the suspension parameters of the truck, which can improve its running comfort and friendliness. Based on the evaluating indicators of ride comfort and road-friendliness, the impacts of suspension parameters on ride comfort and vehicle damage on the road were researched. According to multi-body dynamics theory, a virtual prototype model of the truck is built by ADAMS. The effect of traveling speed, suspension spring stiffness and shock absorber damping on vehicle ride comfort and road friendliness was analyzed. Then the suspension parameters, in favor of ride comfort and road friendliness, were obtained. It is helpful to design the suspension of truck.

Motorcycle Dynamics in Virtual.Lab Motion

2010 ◽  
Author(s):  
David Moreno Giner ◽  
Alessandro Toso ◽  
Nicola Cofelice ◽  
Jian Kang
Keyword(s):  
Ride Comfort ◽  
Test Rig ◽  
The Road ◽  
Multibody Model ◽  
Virtual Test ◽  
Durability Analysis ◽  
First Results ◽  
On The Road ◽  
Set Up ◽  
Definition Of

Multibody dynamics is an important tool for virtual prototyping of Powered Two Wheelers (PTW), where it can be very useful to analyze/predict their behavior. However, the development of the multibody model and the definition of the different simulation cases are often very time consuming. With the aim of reducing the time of the simulation process, a new set of tools called “Virtual.Lab Motorcycle” has been developed in the multi-body dynamics code LMS Virtual.Lab Motion. A graphic interface allows the user to easily create a motorcycle model. By substituting the tire/ground contact with actuators, the user can also set up a virtual test rig for ride, comfort, durability analysis and reverse load-identification. The application provides the possibility to simulate the motorcycle response both on the road and on the virtual test rig. The interface and the main structure of the application are explained here and first results are presented.

Ride Comfort Simulation of Minibus under Road Random Input

2014 ◽  
Vol 711 ◽  
pp. 78-81
Author(s):  
Jie Li ◽  
Zhen Wei Zhang ◽  
Shao Wei Chen ◽  
Chu Xu Zhang
Keyword(s):  
Frequency Response ◽  
Ride Comfort ◽  
Front Wheel ◽  
Simulation Software ◽  
Random Input ◽  
The Road ◽  
Response Characteristics ◽  
Class B ◽  
On The Road ◽  
System Frequency

The plane vibration model of minibus with 7 DOF is used to study ride comfort of minibus under road random input. The system frequency response characteristics based on the road input of front wheel is derived with the analysis method in frequency domain. The frequency response function, power spectral density and root mean square value of vibration response variables are determined. Ride comfort simulation software for minibus under road random input is developed with Matlab and applied to ride comfort analysis of a minibus under road random input. The results show that ride comfort of the minibus is better in the case of full load and road Class B at the speed of 70km/h.

Road Maintenance with Opti-Grade®: Maintaining Road Networks to Achieve the Best Value

2003 ◽  
Vol 1819 (1) ◽  
pp. 282-286 ◽  
Author(s):  
Mark Brown ◽  
Steve Mercier ◽  
Yves Provencher
Keyword(s):  
Road Network ◽  
Low Cost ◽  
Travel Speed ◽  
Road Maintenance ◽  
Engineering Research ◽  
The Road ◽  
Road Management ◽  
Lack Of Information ◽  
Degradation Models ◽  
On The Road

Road management systems rely on the availability of quality information to make good decisions. A lack of information on the condition of the Canadian forest industry’s unpaved road network led to inappropriate management decisions. To fill this information gap the Forest Engineering Research Institute of Canada (FERIC) developed the Opti-Grade road management system. Opti-Grade is a low-cost tool that provides information about the road roughness and travel speed as the equipped road user’s vehicle travels on the road network. This information can then be used to focus grading activities where they will have the greatest impact on the road condition for the money invested. Further, over time, a history of the behavior of the roads can be built. With this history, degradation models can quickly and easily be produced to see which segments of the road network degrade the quickest and the most frequently. Problem segments can be identified. Valuable road evaluation budgets can then be focused on those sections to determine the cause of the problem. That will allow precious rehabilitation budgets to be focused where they can have the greatest impact. Opti-Grade is currently used by a large sector of FERIC member forest companies with payback periods shorter than 4 months. FERIC continues to improve the software to manage the data from the Opti-Grade system and increase the abilities of the decision support tools in the software.

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