This inventor holds 1 USPTO granted patent. Top assignee: Rtx Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Parisa Farahmand and Predictive Defect Modeling for Additive Manufacturing.
Introduction
Parisa Farahmand is an inventor based in Los Gatos, California, and is associated with RTX Corporation. Her patent work concerns additive manufacturing, particularly the use of predictive modeling to identify process conditions that can produce parts with acceptable quality.
Latest Patents
Farahmand is named on 1 patent: “Predictive Defect Model for Highly Productive Laser Powder Bed Fusion Additive Manufacturing.” The disclosure describes a method for modeling the additive manufacturing of a part. It constructs a model to estimate the output of a simulated manufacturing process, then uses operating parameters from an additive manufacturing system to generate an output. That output is assessed against acceptance criteria, and the operating-parameter regions associated with acceptable quality are identified and added to a process map. The steps are repeated with different parameters until the map is complete.
Career Highlights
The available information associates Farahmand with RTX Corporation and identifies her patent contribution in laser powder bed fusion additive manufacturing. The disclosed approach aims to help map process settings that support acceptable part quality.
Collaborations
Masoud Anahid is identified as Farahmand’s coworker. The available information does not specify his role in the patent or establish that he was a co-inventor.
Conclusion
Parisa Farahmand’s identified patent applies predictive modeling and process mapping to support quality-focused laser powder bed fusion, reflecting an innovation in additive manufacturing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile