BorgWarner has patented a method to reduce engagement noise in chain or belt drives for internal combustion engines. By incorporating unique non-prevalent order sprockets with specific radial variation patterns, tensions at non-prevalent engine cycle orders are minimized, improving overall drive system performance. GlobalData’s report on BorgWarner 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 BorgWarner, Turbocharger bearings was a key innovation area identified from patents. BorgWarner's grant share as of April 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.
Reducing engagement noise in chain or belt drive
A recently granted patent (Publication Number: US11970958B1) discloses a method for reducing engagement noise in chain drives or belt drives for internal combustion engines. The method involves determining external excitations within the drive system, converting engine cycle orders to sprocket orders, and incorporating a unique set of non-prevalent orders into the sprockets to reduce noise. The patent also includes variations in the number of non-prevalent order sprockets and the incorporation of non-prevalent orders in multiple driven sprockets to further minimize noise levels.
Furthermore, the patent describes a chain drive or belt drive system for internal combustion engines that implement the method outlined in the claims. The system includes non-prevalent order random sprockets with unique pitch radii patterns to reduce tensions at non-prevalent orders, thereby decreasing noise during engine operation. The incorporation of non-prevalent engine cycle orders in different sprockets within the drive system ensures a comprehensive reduction in engagement noise. Additionally, the system can include multiple driven sprockets, idler sprockets, and camshaft-driven sprockets, each designed to minimize noise through the strategic application of non-prevalent order random sprockets.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
