Senvol works with Navy, ATR to present an additive manufacturing project. Senvol to Speak, Exhibit at RAPID + TCT

To connect with Senvol at RAPID + TCT, there are 2 great ways:

1. Featured Presentation: AM on Ships: A U.S. Navy Study on the Impact of Motion on AM Part Performance.

Come hear Senvol President Zach Simkin speak at RAPID + TCT. This presentation will be a briefing on the technical results of a NAVSEA-funded project that recently completed. The project was focused on studying the impact of vibration and linear motion on AM part performance. In other words, if the AM machine experiences vibration or literally moves back and forth while it is running, will that impact the mechanical properties of the parts produced? Machine learning models were used to analyze the material data from the tested specimens. This presentation will detail the technical results of the linear motion study. In addition, this presentation will brief the audience on how these results impact the U.S. Navy’s anticipated use of AM on ships.

Zach will be co-presenting alongside Randall Kania from ATR.

Tuesday, April 8, 11:00am-11:30am, Room 410B

2. Visit Senvol at Booth #2450

Tuesday, April 8, 10:00am-5:00pm 
Wednesday, April 9, 10:00am-5:00pm 
Thursday, April 10, 10:00am-3:00pm

Come learn more about any of our additive manufacturing data products, including the Senvol Database, Senvol API, Senvol Indexes, Senvol SOP, Senvol ML, and Senvol Services. Senvol ML is data-driven machine learning software for AM.

About Senvol :

Senvol ML is a cutting-edge software package developed by the US company Senvol, which specialises in data analysis and technologies applied to additive manufacturing (AM). Designed to meet the specific challenges of the sector, Senvol ML uses artificial intelligence and machine learning to model the complex relationships between process parameters, material properties and the performance of printed parts. It is aimed at manufacturers, researchers and institutions wishing to optimise their manufacturing processes, reduce qualification costs and accelerate the adoption of FA in critical sectors such as aerospace, defence, energy and medical.

What sets Senvol ML apart is its ability to operate in a machine-, material- and process-agnostic way. Whether it’s powder bed fusion, material deposition or other 3D printing technologies, the software can adapt to any production environment. Thanks to its intelligent database and learning engine, Senvol ML can quickly identify the optimum parameters, predict the mechanical or microstructural results of a part, and even reduce the number of experimental tests required during qualification.

Source : Senvol ML

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