Baker Hughes had 41 patents in future of work during Q1 2024. Baker Hughes Co filed patents for an additive manufacturing system that includes a process map generation system to optimize printing parameters based on test structures and defects detected. Another patent involves predicting downhole measurement data by comparing estimates from downhole tools and surface units to determine if a wellbore operation should be performed. GlobalData’s report on Baker Hughes gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Baker Hughes grant share with future of work as a theme is 56% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Machine learning based rapid parameter development for additive manufacturing and related methods (Patent ID: US20240094702A1)
The patent filed by Baker Hughes Co. describes an additive manufacturing system that includes a process map generation system to optimize the operation of an additive manufacturing device. The system involves generating an operational process map based on mathematical simulations, printing test structures, detecting defects in the structures, updating the process map based on the defects, and adjusting operating parameters accordingly. The defects detected include key holing, lack of fusion, balling, and surface porosity, with operating parameters such as laser power, scanning speed, and powder layer thickness being modified to reduce defects and improve the printing process.
Furthermore, the system incorporates a computed tomography (CT) imager to obtain images of test structures, extract features, detect defects, and classify defect types. Root causes of defects are determined, and a classification model is trained to identify defect types and locations based on CT image features. The operational process map is automatically updated based on classified defect types, and the system can dynamically modify operating parameters during the printing process. Overall, the patent outlines a comprehensive method for optimizing additive manufacturing processes through iterative testing, defect detection, and parameter adjustments to enhance the quality of printed structures.
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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.
