Tread wear of tyres is one of the serious issues in automobiles. Higher amount of heat is generated due to lesser availability of air in the tread region when the vehicle is travelling at high speeds. The existing M1 vehicle tyre has some specific standards of tread angle. In this paper, flow simulation and drop tests of M1 vehicle tyre are carried out using Solidworks. The objective of the work is to improve the cooling efficiency of tyre for vehicle speeds as 40 kmph, 80 kmph and 120 kmph. Various tread patterns for tyres made with hard rubber, Nylon66 and Nylon6 materials were simulated to predict the temperature distribution. Based on the temperature distribution and drop test results from the simulation, improved designs of M1 vehicle tyre are presented.
High performance and precision characteristics in automatic welding technology continues to find a wider application in diverse industries. A welding simulation for seam tracking based on a purpose-built vision sensor is designed to improve the welding efficiency of robotic Gas Metal Arc Welding (GMAW). A shape-matching algorithm is suggested and simulated using graphical device design software LabVIEW to achieve a reliable and precise seam tracking process that is sensitive to groove styles. Relevant modules such as smart parameter setting, image capture and processing, welding expert database, robot communication and route planning modules are included in the software. The main feature of using vision technology is to acquire direct images of the real-time weld path and accurately process them. This is directly linked to seam tracking accuracy. The coordinates for the ABB industrial robot are fed through the profi-bus cable through the use of the Virtual Instrumentation with data acquisition system (DAQ) in NI LabVIEW.
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