Abstract: A method and system for evaluating crack intensity on polymeric sheet based on predetermined scale of crack intensity grades, which includes the steps of a) recording digital image of at least portion of surface of polymeric sheet using apparatus for recording digital images; and b) automatic classification of crack intensity by computer-implemented program for pattern recognition by means of trained artificial neural network, including 1) inputting digital image or one or more subareas of digital image to trained artificial neural network as input data, 2) classification by artificial neural network by assigning grade from predetermined scale of crack intensity grades to digital image or one or more subareas and 3) outputting assigned grade or grades for digital image and/or one or more subareas as output data, wherein artificial neural network is trained in advance in learning phase with plurality of digital images or subareas thereof of polymeric sheet surface portions.

Abstract: A method for producing a tire filled with a (meth)acrylic hydrogel, the method comprises a) providing a mixture comprising at least one water-soluble (meth)acrylic compound, water and an initiator, and b) filling the mixture in a tire in which the mixture polymerizes to form the (meth)acrylic hydrogel. The tire filling material is suitable for producing flat proof tires, enables fast and controlled cure and is insensitive towards dosage errors. Moreover, the tire filling material is environmental friendly and cost effective.

Abstract: A method and system for evaluating crack intensity on polymeric sheet based on predetermined scale of crack intensity grades, which includes the steps of a) recording digital image of at least portion of surface of polymeric sheet using apparatus for recording digital images; and b) automatic classification of crack intensity by computer-implemented program for pattern recognition by means of trained artificial neural network, including 1) inputting digital image or one or more subareas of digital image to trained artificial neural network as input data, 2) classification by artificial neural network by assigning grade from predetermined scale of crack intensity grades to digital image or one or more subareas and 3) outputting assigned grade or grades for digital image and/or one or more subareas as output data, wherein artificial neural network is trained in advance in learning phase with plurality of digital images or subareas thereof of polymeric sheet surface portions.

Abstract: An adhesive composition and use thereof for providing self-healing adhered roofing systems. The adhesive composition includes at least one rubber component, at least one organic solvent, and 12.5-40 wt.-% of at least one powdered superabsorber polymer, based on the total weight of the adhesive composition. Further, a self-healing membrane composite, to a method for forming a self-healing adhered roofing system, to a self-healing adhered roofing system and to use of at least one powdered superabsorber polymer in an adhesive for providing a self-healing adhered roofing system.

Abstract: A method for producing a tire filled with a (meth)acrylic hydrogel, the method comprises a) providing a mixture comprising at least one water-soluble (meth)acrylic compound, water and an initiator, and b) filling the mixture in a tire in which the mixture polymerizes to form the (meth)acrylic hydrogel. The tire filling material is suitable for producing flat proof tires, enables fast and controlled cure and is insensitive towards dosage errors. Moreover, the tire filling material is environmental friendly and cost effective.