Ford Motor had 28 patents in 3D printing during Q4 2023. Ford Motor Co filed patents in Q4 2023 for methods of producing rotor elements for electric machines using screen printing and sintering, reinforcing vehicle pillars with integral reinforcement members made via additive manufacturing, utilizing robotic arms for additive manufacturing in passenger vehicles, designing heat exchanger assemblies with optimized air flow paths, and manufacturing heat exchangers with additive manufacturing techniques for improved fluid flow. GlobalData’s report on Ford Motor gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Ford Motor grant share with 3D printing as a theme is 25% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method for producing a rotor element for a rotor of an electric machine, rotor element, rotor, electric machine and motor vehicle (Patent ID: US20230412010A1)
The patent filed by Ford Motor Co. describes a method for producing a rotor element for an electric machine using screen printing of permanent and non-permanent magnetic materials, simultaneous sintering, and magnetization of the permanent magnetic material. The method involves forming permanent magnets with corner-free basic shapes, creating axial passages in the rotor, and utilizing specific materials like neodymium-iron-boron and iron-silicon during sintering.
The rotor element produced using this method is designed to have at least one permanent magnetic material that is screen printed, sintered, and magnetized. The rotor element may include corner-free permanent magnets, axial passages, and utilize materials like neodymium-iron-boron and iron-silicon. The patent also extends to rotors, electric machines, and motor vehicles incorporating these innovative rotor elements, showcasing the potential applications and benefits of this manufacturing process in the automotive industry.
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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.
