Tire Noise Simulation - SilentRoll
Tire noise is the second largest component of vehicle noise on the road after engine noise. With increased penetration of electrical vehicles, tire noise is the largest source of cabin noise for electrical vehicles. Tire rolling noise must be controlled within specified limits to meet the design and regulatory requirements. To accomplish this, tire designers should be able to simulate tire noise at design stage and then be able to optimize tire design to quantifiably bring down such noise. Our novel tire noise simulation software SilentRoll is used by companies across the globe to simulate tire noise and design tire treads for lower noise.
Tire Uniformity Improvement - SR Waves
Tire uniformity testing machines are used to inspect tires for uniformity analysis. We bring to you SilentRoll Waves software that can be used to study tire uniformity data and help in improving tire uniformity by analysing radial and lateral force waveforms. The software gives you most optimum spotting specifications as an output.
Tire Quality Improvement - Design of Experiments (DOE)
Design of Experiments approach is used to optimize various parameters to improve the uniformity and quality of tire. This is accomplished by designing a set of experiments to evaluate and optimize the tyre building process. In each tyre participating in the DOE, various components are placed at pre-defined angular locations and then the uniformity test machine data is collected for each tyre. Our software solution allows you to quickly and efficiently identify the optimal value of parameters for a uniform tire production.
Harmonic Analysis to Detect Root Cause of Non-uniformity
Harmonic analysis of tire waveform data enables the engineering team to identify cause of tire non uniformity and address the same to exercise process control early in the production line. A regular exercise of such techniques keeps the production process within control limits. Spotting algorithm in our software platform can allow you to determine component placement in such a manner that peak-to-peak (P-P) amplitude of force waveform is obtained. We allow implementation of a 3-component DOE, 2-component DOE and press mold waveform analysis, which can help engineering team determine root cause of non-uniformity, and figure out if the issue is caused by mold, or by a defect in the building process itself.
Machine Vision and AI
Camera based vision systems can be used to inspect tire components in manufacturing process. We have expertise to design and develop customized solutions for your specific requirements. Our knowledge in the field of AI based analysis engines development enables us to solve some of the most tricky tire manufacturing process quality control.