ANGERS, France

Bruno Lavisse

This inventor holds 1 USPTO granted patent. Top assignee: Airbus Operations (s.a.s.). Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bruno Lavisse. Retrieved from https://idiyas.com/inventor/bruno-lavisse

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Bruno Lavisse and Data-Driven Residual Stress Estimation in Machining.

Introduction

Bruno Lavisse is an inventor based in Angers, France, and is associated with Airbus Operations (S.A.S.). His patent work addresses the estimation of residual stresses in a workpiece during machining, combining machine learning with physical simulation.

Latest Patents

Lavisse is credited with 1 patent: “Method for Estimating a Residual Stress Field in a Workpiece During Machining and Machining Process Using Said Method.”

The method measures a workpiece’s geometry during machining and uses its geometric profile, together with a machine-learning estimation model trained on data from other workpieces, to predict deformations that may occur during later machining. A simulation model then uses those predicted deformations to estimate the residual stress field. The model is based on physical simulations that describe how residual stresses vary with the manufacturing parameters of the raw workpiece.

Career Highlights

Lavisse’s listed invention focuses on applying data-driven prediction and physical modeling to a manufacturing challenge. Estimating residual stresses during machining can help characterize how a workpiece may deform as processing continues.

Collaborations

The provided information lists Hugo Chabeauti and Mathieu Ritou as Lavisse’s coworkers. It does not specify their roles in the patent or the invention.

Conclusion

Bruno Lavisse’s patent combines machine learning and simulation to estimate residual stresses during machining, reflecting an approach to improving the understanding of workpiece behavior in manufacturing.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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