Baker Hughes had 21 patents in 3D printing during Q1 2024. Baker Hughes Co filed patents in Q1 2024 for an additive manufacturing system that uses mathematical simulations to detect defects and automatically update operational processes, a method for immobilizing a metal catalyst in a porous support, and a metal-to-metal seal for sealing an annular space in a well casing. 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 had no grants in 3D printing as a theme in Q1 2024.
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 simulations, printing test structures with varying parameters, detecting defects in the structures, updating the process map based on defects, and adjusting operating parameters accordingly. The system aims to reduce defects such as key holing, lack of fusion, balling, and porosity by optimizing parameters like laser power, scanning speed, powder layer thickness, and more. Additionally, the system utilizes CT imaging to extract features, detect defects, classify defect types, and determine root causes for defects, allowing for automatic updates to the operational process map.
Furthermore, the patent outlines a method for determining operating parameters of an additive manufacturing device by generating an operational process map through mathematical simulations, printing test structures with varied parameters, detecting defects, updating the process map based on defects, and adjusting operating parameters accordingly. The method involves utilizing CT imaging to extract features, detect defects, classify defect types, and automatically update the process map. Various image processing techniques are employed, and a classification model is trained to identify defect types and locations based on CT image features. The method aims to optimize the additive manufacturing process by defining an optimal process zone and dynamically modifying operating parameters during printing based on the operational process map.
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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.
