Baker Hughes had 11 patents in 3D printing during Q4 2023. Baker Hughes Co filed a patent for a method that involves performing image analysis on a layer of an object being manufactured using additive manufacturing, simulating distortion, evaluating build data, and predicting distortion or re-coater interference for the next layer using a machine learning model. Another patent describes a method for manufacturing a nanoporous structure on a substrate by forming a precursor structure from a metal oxide or metal cluster compound, exposing it to an organic linker vapor, and reacting to form a metal-organic framework. GlobalData’s report on Baker Hughes gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Baker Hughes grant share with 3D printing as a theme is 45% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Distortion prediction for additive manufacturing using image analysis (Patent ID: US20230342908A1)
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The patent filed by Baker Hughes Co. describes a method that involves analyzing images of layers in an additive manufacturing process to identify exposed surfaces, conducting build simulations to predict distortions, evaluating influencing factors, and using a machine learning model to predict distortions or re-coater interferences for the next layer. Based on these predictions, actions are taken to adjust the fabrication process of the subsequent layer, such as altering laser power or skipping manufacturing of parts of the layer. The system includes a processing system with a memory and processing device, a camera for capturing images during manufacturing, and the additive manufacturing system itself.
The method and system outlined in the patent aim to improve additive manufacturing processes by utilizing image analysis, build simulations, and machine learning models to predict and mitigate distortions and interferences in subsequent layers. By training the machine learning model with training data and comparing predicted outcomes with actual results, the system can continuously improve accuracy and efficiency in the manufacturing process. The ability to adjust fabrication processes based on these predictions allows for real-time optimization and control, ultimately enhancing the quality and reliability of additive manufacturing outputs.
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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.
