Automobile Wheel Alignment and Wheel Balancing

2021 ◽  
Author(s):  
Mananathan R
Keyword(s):  
Pressure Effects ◽  
Design Development ◽  
Commercial Vehicles ◽  
Vehicle Owner ◽  
Tire Wear ◽  
Wear And Tear ◽  
Wheel Alignment ◽  
Overall Performance ◽  
Tire Rotation ◽  
Automobile Wheel

With over thirty years of experience in the design, development, and patenting of some products in the field of wheel alignment, the author shares his knowledge on the importance of wheel maintenance to the overall performance of a vehicle. From the ancient bullock carts to chariots to automobiles, wheels have undergone many changes to serve the purpose of mankind's mobility. Mobility is inevitable in today's life. A world without wheels is unimaginable. Every vehicle owner expects his tires to last longer and perform better. But improper wheel alignment and wheel balancing can drastically impact the wear and tear on a tire. This book walks the readers through the basics to techniques for wheel alignment on light vehicles, commercial vehicles, and trailers. In addition, illustrations present various types of tire wear and the cause of each. Finally, the author delves into tire safety from understanding how air pressure effects a tire to the importance of tire rotation.

scholarly journals Wheel Alignment Detection using Raspberry pi

2018 ◽  
pp. 261-270
Author(s):  
Mulla Minaz ◽  
Soni Drupad ◽  
Tale Hetal ◽  
Gandhi Maulik ◽  
Dr. Sheshang Degadwala
Keyword(s):  
Raspberry Pi ◽  
Straight Line ◽  
Tire Wear ◽  
Wear And Tear ◽  
Wheel Alignment ◽  
Automobile Technology

Wheel Alignment detection using Raspberry Pi - The development of automobile technology is evolving and the influence of automobile stability to travel safely is increasing. A modern person usually has wheel alignments both for front and rear wheels. For that detection is needed, here comes the role of our device. Here 3 elements are important Camber, Castor and Toe which needs to be looked after for alignment. All four tires should be in straight line. A further thing which matters is Knuckle, Bearing and Jumper. By rash driving alignment gets disturbed which affects tire wear and tear. Here, user can get affected by frequent tire replacement which leads to cost on maintenance. Here, every tire calculations are different and they should be precise. For maintaining that using sensors calculations are maintained which can be done using Raspberry Pi and Python as implementation language.

Bridge Surface Roughness Detection Based on Double-Vehicle-Double-Pass Technique

2018 ◽  
Author(s):  
Ying Zhan
Keyword(s):  
Surface Roughness ◽  
Measured Data ◽  
Traffic Load ◽  
Double Pass ◽  
Bridge Monitoring ◽  
Roughness Profile ◽  
Element Simulation ◽  
Acceleration Data ◽  
Tire Wear ◽  
Wear And Tear

Bridge surface roughness encompasses dents, cracks, bulges and other defects due to construction as well as wear and tear in service. It significantly affects the traffic load on bridge, costs extra vehicle fuel consumption and tire wear, and therefore is a major concern of bridge monitoring and maintenance. As it considerably affects the contact force between the vehicle and the bridge, it is also a major obstacle of using vehicle measured data to identify bridge parameters. This paper presents a method to estimate the surface roughness profile of a bridge. With the acceleration data gathered from two different vehicles running on the bridge successively at the same speed, the roughness profile of the bridge can be measured with satisfactory accuracy. The method is verified with finite element simulation.

Virtual-Prototyping Oriented Key Research and Development System of Load Haul Dump

2011 ◽  
Vol 317-319 ◽  
pp. 516-522
Author(s):  
Rong Li ◽  
Mei Wei Jia ◽  
Wen Bo He ◽  
Ping Kui Li ◽  
Yong He ◽  
...  
Keyword(s):  
Research And Development ◽  
Optimization Design ◽  
Virtual Prototyping ◽  
Protection System ◽  
Strength Analysis ◽  
Design Development ◽  
Characteristic Analysis ◽  
Development System ◽  
Overall Performance ◽  
Multi Body

According to the development status of underground load-haul-dump vehicle (LHD) development, a virtual-prototyping oriented key research and development system of LHD is proposed. Based on the driven oriented and top-down design concept of virtual-prototyping, combining the overall performance design, multi-body system dynamics oriented characteristic analysis and simulation, machine assembly, main parameters verification and sub-system of LHD design, the new innovation design development system for LHD development is formed. A case study of a three cubic LHD design process is given, considering the multi-body dynamics oriented simulation of LHD overall performance ,the structure strength analysis and fatigue analysis of key components, mechanism optimization design and dynamic kinematics analysis of working device, stability, ergonomics and ROPS/FOPS (Roll-Over Protection System / Fall-Over Protection System) of driving cab, the satisfied design results is finally obtained.

scholarly journals Assessing Wear Out of Tyre using Opencv & Convolutional Neural Networks

2021 ◽  
Vol 2089 (1) ◽  
pp. 012001
Author(s):  
C Kishor Kumar Reddy ◽  
P R Anisha ◽  
R Madana Mohana
Keyword(s):  
Neural Networks ◽  
Object Detection ◽  
Image Classification ◽  
Convolutional Neural Networks ◽  
Wear Testing ◽  
Timely Manner ◽  
Safe Driving ◽  
The Road ◽  
Tire Wear ◽  
Wear And Tear

Abstract This work proposes a process to detect the wear and tear of car tires. Tire is the only part of the road that does not interact with the road. The condition of the wheel should therefore be monitored in a timely manner for safe driving. Tired fatigue occurs due to limitations such as that the tread limit is less than 1.6 cm, the damage to the rubber, where there are pipes around 4 to 5, the affected tire. We look at some of the above limitations of tire wear testing using computer viewing techniques such as opencv and convolutional neural networks. Opencv and convolutional neural networks are widely used for object detection and image classification. We used these methods and obtained 90.90% accuracy, with which we can predict tire wear to avoid dangerous accidents..

scholarly journals Sensitivity of Racing Tire Sliding Energy to Major Setup Changes: An Estimate Based on Standard Sensors

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5118
Author(s):  
Daniel Chindamo ◽  
Marco Gadola ◽  
Emanuele Bonera ◽  
Paolo Magri
Keyword(s):  
Scientific Method ◽  
High Performance ◽  
Performance Level ◽  
Tire Wear ◽  
Overall Performance ◽  
High Performance Level ◽  
External Shape

Understanding the amount of energy a tire is subjected to is one of the key elements to perform in motorsport competitions, especially in Formula 1 feeder categories, where the number of tires is limited over the race weekend to contain costs. This forces teams to use worn tires towards the end of the event. Therefore, tires are usually chosen only relying on their external shape or based on the kilometers traveled. Moreover, being aware of how a setup change impacts tires can be a breakthrough in tire management, especially in tracks where tire wear is limiting the overall performance. This paper provides a scientific method aimed at helping race engineers in tire management to maintain a high performance level through the entire race weekend.

The Ford Cargo

1983 ◽  
Vol 197 (2) ◽  
pp. 61-70 ◽  
Author(s):  
P H Marshall
Keyword(s):  
Road Transport ◽  
European Market ◽  
Careful Attention ◽  
Design Development ◽  
Commercial Vehicles ◽  
Initial Design ◽  
Western European

During 1981 and 1982 the fifteen year old Ford ‘D’ Series was replaced by the distinctively designed Cargo range. This is intended to meet road transport needs in the 1980s and beyond for vehicles from 6 to 32.5 tonnes gross mass and up to 150 kW. This segment covers about 50 per cent of the total Western European market for commercial vehicles above 3.5 tonnes. This paper gives a glimpse of how the objectives for such a programme were defined and how they were met by careful attention to planning, initial design, development and testing with the close co-operation of manufacturing engineers at all stages.

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