Close Menu
AM ChronicleAM Chronicle
  • Content
    • News
    • Insights
    • Case Studies
    • AM Infocast
  • Focus Regions
    • India
    • Asia Pacific
    • Middle East
    • North America
    • Europe
  • Industries
    • Automotive
    • Aerospace
    • Defence
    • Energy
    • Construction
    • Healthcare
    • Tooling
    • Engineering
  • Training
  • Magazine
    • Digital Issues
    • Print Subscription
  • Events
Facebook Instagram YouTube LinkedIn
  • About us
  • Media Kit
  • Contact us
Facebook Instagram YouTube LinkedIn
AM ChronicleAM Chronicle
  • Content
    1. News
    2. Insights
    3. Case Studies
    4. AM Infocast
    5. View All
    3D Systems Closes Systemic Bio, Founder Continues Mission

    3D Systems Closes Systemic Bio, Founder Continues Mission

    July 26, 2025
    Kre8+ Unveils Advanced Manufacturing Capabilities at Recent Colloquium

    Kre8+ Unveils Advanced Manufacturing Capabilities at Recent Colloquium

    July 25, 2025
    The 3D Printed Schools Project is expected to be completed by the end of 2025

    Qatar to Construct World’s Largest 3D-Printed Building

    July 14, 2025
    Qatar Unveils Largest 3D-Printed Boat by GORD 3D, Credits: GORD 3D

    Qatar’s Largest 3D-Printed Boat Manufactured at GORD 3D Center

    July 4, 2025
    Digital Twin Integration in Additive Manufacturing Systems: Revolutionizing Design, Production, and Lifecycle Management

    Digital Twin Integration in Additive Manufacturing Systems: Revolutionizing Design, Production, and Lifecycle Management

    July 4, 2025
    LACS equipment set-up to add a coating to repair a panel aircraft wing

    Laser-assisted cold spray: a new generation of innovative manufacturing technology

    July 3, 2025
    Oerlikon Reaches 25,000 3D-Printed Suppressors Milestone, Advancing Next Generation Defense Applications, Credits: Oerlikon

    Oerlikon Reaches 25,000 3D-Printed Suppressors Milestone, Advancing Next Generation Defense Applications

    June 24, 2025
    ArianeGroup and Nikon SLM Solutions Join Forces to Advance Ultra-Large-Scale Additive Manufacturing for Space Applications

    ArianeGroup and Nikon SLM Solutions Join Forces to Advance Ultra-Large-Scale Additive Manufacturing for Space Applications

    June 21, 2025
    Formlabs fuse 1+

    How Imaginarium Helped Kaash Studio Scale with the Right 3D Printing Technology

    April 12, 2025
    The Formlabs Fuse 1+ 30W

    Kaash Studio Optimized Service Bureau Operations with Formlabs 3D Printers- Case Study

    January 30, 2025
    Namthaja Unveils Worlds First 3D Printed Marine Gangway

    Worlds First 3D Printed Marine Gangway unveiled by Namthaja

    August 8, 2024
    RusselSmith Material Performance Improvement Whitepaper

    RusselSmith Whitepaper : Improving Material Performance with Microstructural Refinement

    May 9, 2024
    Sustainable Production of Metal Powder for Additive Manufacturing

    Sustainable Production of Metal Powder for Additive Manufacturing with Bruce Bradshaw

    February 15, 2024
    Meeting Evolving Customer Demands in the Additive Manufacturing Industry with Tyler Reid

    Meeting Evolving Customer Demands in the Additive Manufacturing Industry with Tyler Reid

    February 9, 2024
    Innovation is at the heart of AMUG with Diana Kalisz

    Innovation is at the heart of AMUG with Diana Kalisz

    March 7, 2023
    3D Printing Workshops at AMUG with Edward Graham

    3D Printing Workshops at AMUG with Edward Graham

    March 7, 2023
    3D Systems Closes Systemic Bio, Founder Continues Mission

    3D Systems Closes Systemic Bio, Founder Continues Mission

    July 26, 2025
    Kre8+ Unveils Advanced Manufacturing Capabilities at Recent Colloquium

    Kre8+ Unveils Advanced Manufacturing Capabilities at Recent Colloquium

    July 25, 2025
    The 3D Printed Schools Project is expected to be completed by the end of 2025

    Qatar to Construct World’s Largest 3D-Printed Building

    July 14, 2025
    Digital Twin Integration in Additive Manufacturing Systems: Revolutionizing Design, Production, and Lifecycle Management

    Digital Twin Integration in Additive Manufacturing Systems: Revolutionizing Design, Production, and Lifecycle Management

    July 4, 2025
  • Focus Regions
    • India
    • Asia Pacific
    • Middle East
    • North America
    • Europe
  • Industries
    • Automotive
    • Aerospace
    • Defence
    • Energy
    • Construction
    • Healthcare
    • Tooling
    • Engineering
  • Training
  • Magazine
    • Digital Issues
    • Print Subscription
  • Events
Subscribe
AM ChronicleAM Chronicle
Home » News

Senvol Demonstrates Machine Learning Approach to Material Allowables

News By AM Chronicle EditorSeptember 2, 20235 Mins Read
1692903283187
LinkedIn Twitter Facebook WhatsApp Pinterest Email Copy Link

Senvol recently demonstrated a machine learning approach to material allowables development that was shown to be more flexible, cost-effective, time-effective, and equivalent to the conventional (in this case, MMPDS) approach to material allowables development.

The work was done as part of a U.S. Government contract W911NF-20-9-0009 that Senvol had been awarded to apply its machine learning software, Senvol ML , to enable a path to rapid development of material property allowables for additive manufacturing (AM).

Senvol’s partners on the program included EWI and Pilgrim Consulting. Battelle and Lockheed Martin Fellow, Hector Sandoval, also served as technical advisors on the program. The contract was administered by the National Center for Manufacturing Sciences (NCMS) through the AMMP Other Transaction Agreement (OTA) program.

As part of the program, Senvol demonstrated a new approach to material allowables development that leverages machine learning. A machine learning approach is extremely flexible and able to handle any change to the AM process, which makes this approach ideal for sustainment in the long-term. The program focused on demonstrating the approach using a 17-4 PH Stainless Steel material processed via a powder bed fusion AM machine.

“Material allowables development is a very expensive and time-consuming endeavor” said Annie Wang, President at Senvol. “Senvol’s program was very successful in demonstrating a new approach to additive manufacturing allowables development that leverages machine learning. We were very pleased with the results and look forward to continued work in this cutting edge area.”

AM is starting to enable lightweight and rapidly produced designs that are revolutionary to various defense and commercial capabilities and applications. These benefits cannot yet be fully realized due to the time and high cost of allowables development.

The high cost stems in large part from the fact that material allowable development requires an enormous amount of empirical data to be generated, at a fixed processing point, meaning that all of the empirical data must typically be regenerated from scratch every time there is a major change in the process. This results in an AM process that is not only costly and time-consuming to implement the first time, but costly and time-consuming to maintain in the long-run when there are inevitably changes to the AM process.

Hector Sandoval, who reviewed the AMMP program technical approach and test results, adds, “I have experience developing material allowables using traditional methodologies. The current process works well, but there are some limitations. It was exciting to support the AMMP program by reviewing the technical approach, test results, and final presentation. It was great to get a first-hand look at the potential of leveraging a machine learning based approach to help establish material allowables.”

Senvol ML  software supports the qualification of AM processes and was used in the program to develop statistically substantiated material properties analogous to material allowables. Furthermore, it did so while simultaneously optimizing data generation requirements. Important to note is that the software is flexible and can be applied to any AM process, any AM machine, and any AM material. Also of note is that this project did not develop true allowables. Due to budget and programmatic constraints, the project team had to make several simplifying decisions.

Senvol President Zach Simkin comments, “The use of machine learning for additive manufacturing process and material development is very mature. This has been adopted by industry and is the low-hanging fruit. The use of machine learning specifically for material allowables development, however, is still a work in progress. I’m pleased that we have now made two successful demonstrations of the machine learning approach to allowables – once in this program using a metal alloy and comparing to MMPDS, and once in a prior program funded by America Makes that used a polymer material and compared to CMH-17 – but more research is needed. The upside is tremendous, and we look forward to continuing to partner with the Government and industry to advance work in this area.”

Dr. William E. Frazier, retired Chief Scientist for Air Vehicle Engineer at NAVAIR / The Navy Senior Scientist for Material Engineering, and currently President of Pilgrim Consulting LLC, adds, “I was very pleased to join Senvol’s team for this program. Senvol’s machine learning-enabled approach directly addresses a major industry challenge: the rapid and cost-effective development of additive manufacturing material property allowables. I have been involved with the qualification of several additive manufacturing processes and materials for flight, and in my opinion, the further development of this technology will have a positive impact on the cost, schedule, and performance of both defense and commercial platforms.”

Users of the Senvol ML software include organizations in aerospace, defense, oil & gas, consumer products, medical, and automotive industries, as well as AM machine manufacturers and AM material suppliers.

Subscribe to AM Chronicle Newsletter to stay connected:  https://bit.ly/3fBZ1mP 

Follow us on LinkedIn: https://bit.ly/3IjhrFq 

Visit for more interesting content on additive manufacturing: https://amchronicle.com

Original Source

3d printing additive manufacturing machine learning Materials Metal Additive Manufacturing Navy Senvol USA
AM Chronicle Editor

NAMIC GLOBAL AM SUMMIT 2025
LATEST FROM AM
3D Systems Closes Systemic Bio, Founder Continues Mission News

3D Systems Closes Systemic Bio, Founder Continues Mission

July 26, 20252 Mins Read
Kre8+ Unveils Advanced Manufacturing Capabilities at Recent Colloquium News

Kre8+ Unveils Advanced Manufacturing Capabilities at Recent Colloquium

July 25, 20251 Min Read
The 3D Printed Schools Project is expected to be completed by the end of 2025 News

Qatar to Construct World’s Largest 3D-Printed Building

July 14, 20252 Mins Read

CONNECT WITH US

  • 126 A, Dhuruwadi, A. V. Nagvekar Marg, Prabhadevi, Mumbai 400025
  • [email protected]
  • +91 022 24306319
Facebook Instagram YouTube LinkedIn

Newsletter

Subscribe to the AM Chronicle mailer to receive latest tech updates and insights from global industry experts.

SUBSCRIBE NOW

Quick Links

  • News
  • Insights
  • Case Studies
  • AM Training
  • AM Infocast
  • AM Magazine
  • Events

Media

  • Advertise with us
  • Sponsored Articles
  • Media Kit

Events

  • AM Conclave 2025
    24-25 September 2025 | ADNEC, Abu Dhabi
  • AMTECH 2025
    3-4 December 2025 | KTPO, Whitefield, Bengaluru
CNT Expositions & Services LLP
© 2025 CNT Expositions & Services LLP.
  • Privacy Policy
  • Cookie Policy

Type above and press Enter to search. Press Esc to cancel.



0 / 75