Rubber is used in a wide range of products and by various industries. This is the main reason why the rubber industry is transforming into a very potential industry and is growing at a significant rate. 

The automobile industry is one of the key consumers of rubber. Automobile industry requires rubber for manufacturing tires. But that is simply not it. It also requires rubber in the non-tire sectors.

Apart from manufacturing tires, the industry uses rubber to manufacture tubes and other parts and accessories. Rubber offers resilience, elongation and strength which makes it worthy of a good investment. 

In this technological driven world, every industry is looking forward to various advancements that can save cost, enhance their product, increase efficiency and effectiveness and offer a high rate of return. Similarly, various companies have started using AI (Artificial Intelligence) to detect the properties of rubber. Who would have imagined that AI could mean so much to so many industries across the world?

Using AI to Detect Rubber Properties

Artificial Intelligence based technology uses the real-world data to analyse the internal structure and properties of industrial rubber. AI not only determines and helps in understanding the properties and internal structure of rubber, but also envisions the possible changes in the rubber after the final product is manufactured and used by the consumers.  

There is a limit to the extent of analysis that human beings can conduct in order to understand the properties as the internal structure of rubber is extremely complex and not understandable by all. It requires a lot of time for the analysis. Humans cannot accomplish what technology can and vice versa. Moreover, companies cannot be 100 percent sure of the accuracy of the analysis report generated post analysis. 

Rubber is made up of varied materials like polymers, additives, reinforcing agents and crosslinking agents. Let us consider the case of a tire. For a tire to perform extremely well, it requires a combination of various materials in a defined proportion.

The properties of material used are also decided in advance. Rubber forms the major part of a tire. Therefore, it is very important and crucial for any company to understand in depth the internal structure and properties of the rubber that they are using to manufacture the tires. This is where Artificial intelligence based analysis technology is playing a significant role. 

AI based analysis technology analyses the rubber compounds by creating microscopic imagery. The analysis is highly accurate and far from human capabilities. The structural data found in the imagery helps in acquiring the correct rubber properties.

The data obtained on individual raw materials in the rubber compound, once combined with the data obtained about the internal structure enables the companies to procure even more accurate evaluation of rubber properties. 

Furthermore, AI based analysis technology is also able to detect the changes that are likely to happen in the structure of rubber once it is used. The companies are able to make a significant comparison between the structural properties of used and unused rubber. This technology driven analysis has a lot of potential especially in this growing sector.

AI helps in accelerating the development of compounds, reduction in costs and development of improved and better performing products. Every company wants to manufacture and supply only the products which perform exceedingly well in the market.

Yokohama Rubber Company is one of the leading companies which uses Artificial Intelligence to predict the physical properties of rubber. Sources tell us that, Yokohama says, “It will contribute to the realization of “Society 5.0,” a future society that will enhance people’s experiences and take advantage of innovative technologies such as AI and IoT, as advocated by the Japanese government’s cabinet office.”