Baker Hughes had nine patents in artificial intelligence during Q4 2023. The patent filed by Baker Hughes Co in Q4 2023 describes a method that involves analyzing images of layers in additive manufacturing, simulating distortion, evaluating build data, predicting distortions or re-coater interference for the next layer using machine learning, and taking action to alter fabrication based on these predictions. 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 artificial intelligence as a theme is 44% 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 and system for improving additive manufacturing processes by utilizing image analysis, build simulations, and machine learning models to predict and mitigate distortions and re-coater interferences in the fabrication of layers. The method involves analyzing images of layers, performing build simulations, evaluating influencing factors, predicting distortions or re-coater interferences for the next layer using a machine learning model, and implementing actions based on these predictions to alter fabrication. The system includes a processing system with memory and a processing device to execute these operations, along with an additive manufacturing system and a camera for capturing images during manufacturing.
The claims of the patent detail the steps involved in the method, such as performing spreading simulations, training the machine learning model, comparing predicted outcomes with actual results, and adjusting parameters for accuracy. The system also includes provisions for altering laser power or skipping manufacturing of portions of the next layer based on the predicted distortions. Overall, the patent aims to enhance additive manufacturing processes by leveraging advanced technologies like machine learning to predict and address issues in real-time, ultimately improving the quality and efficiency of the manufacturing process.
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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.
