OMV has filed a patent for a crosslinkable polymer composition designed to enhance tracking resistance in wires and cables. The composition includes specific ethylene polymers and copolymers, passing rigorous tests for safety and performance. The invention aims to improve fire retardancy and overall quality in power and optical cables. GlobalData’s report on OMV gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on OMV, Corrosion resistant fuel additives was a key innovation area identified from patents. OMV's grant share as of January 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.

The patent application (Publication Number: US20240034849A1) describes a crosslinkable polymer composition designed for use in track resistant cables, such as power cables or optical cables. The composition includes a high-density ethylene homo- or copolymer and a copolymer of ethylene with a silane groups-containing comonomer. The polymer composition must pass specific tracking resistance tests to meet the required standards. Additionally, the composition may include other components such as very low-density polyethylene, linear low-density polyethylene, fillers, UV stabilizers, antioxidants, pigments, and elastomeric ethylene copolymers to enhance its properties.

Furthermore, the patent application outlines the method for manufacturing the polymer composition, which involves compounding or dry blending the high-density ethylene homo- or copolymer with the copolymer of ethylene with a silane groups-containing comonomer. The resulting composition is intended to increase track resistance and fire retardancy in wires or cables. The composition can be crosslinked using a crosslinking agent or moisture and a condensation catalyst. The patent also covers the use of this polymer composition in wires or cables to improve their track resistance and fire retardancy properties along their length.

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GlobalData’s Company Filings Analytics uses machine learning to uncover key insights and track sentiment across millions of regulatory filings and other corporate disclosures for thousands of companies representing the world’s largest industries. This analysis is combined with crucial details on strategic and investment priorities, innovation strategies, and CXO insights to provide comprehensive company profiles.