Tesla had two patents in 3D printing during Q4 2023. Tesla Inc has developed systems and methods for texturing substrates such as glass and metal, using rollers with specific surface roughness and autocorrelation functions. This technology allows for the production of textured substrates with improved properties. GlobalData’s report on Tesla gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Tesla grant share with 3D printing as a theme is 50% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Process to make textured glass (Patent ID: US20230391657A1)
The patent filed by Tesla Inc. discloses systems and methods for texturing substrates such as glass and metal, with a focus on producing textured substrates using rollers with specific surface characteristics. The system includes a first roller with a textured surface that has a root mean square roughness between 40 to 1000 microns and an autocorrelation function greater than 0.5 for distances less than 50 microns. The texturing process may involve 3-D printing to create the desired texture on the roller's surface, which can also include hollow channels and specific texture patterns.
The system is designed to texture substrates with different areas, ensuring that the texture characteristics vary between these areas. This variation can be achieved by adjusting the Hurst exponent, with a difference of at least 20 percent between the first and second areas. Additionally, the textured surface of the first roller may include a layer of chromium to enhance its properties. Overall, the patent focuses on a specialized system for texturing substrates using rollers with specific surface characteristics and texture patterns, offering a unique approach to creating textured substrates for various applications.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
