Siemens had 45 patents in 3D printing during Q2 2024. Siemens AG filed patents for a tactile sensor cover for collision detection, a dielectric waveguide for electromagnetic signal transmission, a multipart lock body for pin locks, a composite cooling system for electronic components, and a rotationally elastic coupling with a switching element for wear identification. These inventions aim to improve efficiency, cost-effectiveness, and performance in various technological applications. GlobalData’s report on Siemens gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Siemens had no grants in 3D printing as a theme in Q2 2024.
Recent Patents
Application: Tactile sensor cover and production method and medical device (Patent ID: US20240207006A1)
The patent filed by Siemens AG describes a tactile sensor cover designed to detect collisions with multilayer, two-dimensional structures. The sensor cover includes a deformable top layer, a rigid base layer, a sensor unit with two sensor layers, and a compressible spacer layer. At least two of the layers are created using additive manufacturing techniques, ensuring flexibility and adaptability to various shapes and structures. The sensor layers are conductive, and the spacer layer can be made of different materials like knitted fabric or foam, enhancing the sensor's sensitivity and responsiveness.
The patent also includes claims related to the manufacturing process of the tactile sensor cover, emphasizing the use of additive manufacturing for creating different layers. The method involves applying sensor layers to the spacer layer, then adding the top and base layers using additive manufacturing techniques. The process can include metal sintering, vapor deposition, or using plastics with metal particles for sensor layer creation. The additive manufacturing methods mentioned include 3D printing, laser sintering, and fused deposition modeling, ensuring precision and customization in producing the tactile sensor cover for various applications, including medical devices.
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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.
