An Efficient Analysis Scheme for Classification of Heat-Shrinkable Material Based on Ageing with the Aid of Learning Techniques

Ageing of mechanical structures generally refers to prejudiced or failure of their capability to accomplish the intention for which a product is developed. Ageing is generally a slow, time variant and irrevocable procedure that results over a period of time. Ageing usually affects the industrial factors with various defects in static and dynamic responses, structural capacity, failure mode and position of failure instigation. The major impact that arise due to ageing of components are inability to withstand different challenges like environmental issues, natural calamities and also the proper functioning of products. This remains to be a major drawback in number of mechanical application which uses Heat-shrinkable material that can results in improper functioning of the products. To reduce or overcome the issues of ageing related drawbacks, we propose a novel machine techniques based scheme where in we use the data available regarding each material to be analyzed in order to find out the ageing scenarios. The major consideration here will be to classify the Heat-shrinkable material that are designed based on the ageing properties thereby we can analyse the properties in various time span.