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NODiVEC Named a Finalist for the 2026 InnoVision Awards
We are absolutely thrilled to announce that NODiVEC has been officially selected as a finalist for the 2026 InnoVision Awards in the Technology Integration category. Since 1999, the InnoVision Awards have served as the benchmark for celebrating impactful, forward-thinking innovation developed right here in South Carolina. To be recognized among the state’s most dynamic and transformative organizations is a profound honor that validates the hard work, technical rigor, and visi
Aug 312 min read


Validating Rheona™ Distortion Predictions Against the NIST AM-Bench
For engineers in metal additive manufacturing, simulation software often feels like a black box. You feed it a mesh, wait hours (or days), and get a colorful contour plot. But when it comes time to commit to a costly Laser Powder Bed Fusion (LPBF) print, you need to know if you can actually trust those numbers to compensate for real-world distortion. At NODiVEC, the development philosophy behind Rheona™ has always prioritized direct, transparent communication and accessible,.
Aug 282 min read


Not One, But Two Awawards for NODiVEC
We are incredibly proud to announce that our Founder, Dr. Christian Rossmann, has officially graduated from the Launchpad Tech Ventures accelerator program! At the culmination of the cohort, Dr. Rossmann and NODiVEC were honored to take home two major recognitions: 🏆 The Dan Roselli Award for Most Fundable 🏆 The Best Mentor Award Building the NODiVEC Rheona™ platform—physics-grade simulation and AI decision-support tools for metal additive manufacturing—is a highly complex
Aug 231 min read


Moving Simulation Out of the Backroom: Christian Rossmann’s Interview with 3Druck.com
In metal Additive Manufacturing (AM), physics-based simulation has traditionally been treated as a luxury—a slow, complex, late-stage validation step reserved strictly for high-stakes, mission-critical components. But as our Founder and CEO Christian Rossmann highlighted in a recent feature interview with 3Druck.com, this traditional paradigm is holding the industry back. To make metal 3D printing truly scalable and viable for standard production, physical simulation needs to
Aug 123 min read


Master Metal AM Distortion: How Pre-Compensating Geometry Eliminates Warping
In metal Additive Manufacturing (AM)—particularly processes like Laser Powder Bed Fusion (LPBF)—extreme thermal gradients are unavoidable. As molten metal rapidly heats and cools, localized thermal expansion and contraction generate severe internal stress. When the part is printed, cut from the build plate, or stress-relieved, these internal stresses release, causing the geometry to twist, bow, or warp out of tolerance. Distortion compensation is the proactive answer to this
Aug 62 min read


Why Predictability Is the Missing Piece of Additive Manufacturing
If you’ve spent any time working in metal additive manufacturing (AM), you know the sinking feeling of a failed build. It’s never just about the wasted powder. A failed metal print means days of lost machine time, thousands of dollars down the drain, and a domino effect of delays across your entire production schedule. Yet, despite these high stakes, much of the industry still relies on a "trial and error" approach to get things right. I recently had the pleasure of joining t
Aug 52 min read


Directed Energy Deposition (DED) Additive Manufacturing Demo using the Rheona™ software Platform!
Below we share how we simulate complex thermal histories during Directed Energy Deposition (DED) additive manufacturing using the Rheona™ software platform! 🚀 In this quick demo, we analyze a complex Stainless Steel (316) lattice structure to evaluate transient temperature fields and thermal loads during the building process. Key Highlights of the Workflow: Geometry Import & Meshing: Seamlessly importing CAD models and generating volumetric meshes optimized for thermal analy
Aug 41 min read


Accelerating LPBF Deformation Predictions: 316L Engine Bracket Benchmark
As we continue to push the boundaries of metal additive manufacturing simulation, validating our high performance FEM solvers against established, rigorous academic frameworks remains a top priority. A critical milestone in this ongoing process is accurately predicting macro-scale thermal deformations in Laser Powder Bed Fusion (LPBF) before physical production begins. To test our capabilities, we turned to the foundational research presented in Verzugsminimierung bei selekti
Jul 22 min read


VTT Pipe Case Simulation Study with the Rheona Platform (LPBF)
For those unfamiliar, the VTT pipe case study has been around for quite some time and contains an in-depth description of the additive manufacturing process of a pipe geometry, alongside comprehensive post-manufacturing measurements. This makes it an excellent benchmark for AM process simulation software. (Note: The pipe test geometry provided by VTT can be accessed from their website. The design was manufactured with H13 tool steel via Selective Laser Melting (SLM)). The man
Jul 22 min read


Bridging the Gap Between Digital and Physical: Predicting Sintering Shrinkage in CMF Additive Manufacturing
ColdMetalFusion (CMF) is unlocking new possibilities in additive manufacturing by combining the geometric freedom of 3D printing with the proven robustness of powder metallurgy. However, the sintering phase introduces a critical hurdle: part shrinkage and distortion. As the green part densifies in the furnace, complex geometries warp, causing out-of-tolerance failures. To demonstrate how to address this challenge, we virtually predicted the behavior during and after the sinte
Jul 25 min read


Two Ways to Ask "Will It Survive the Furnace?" — Static Stress vs. Viscous Flow in Sinter-Based AM
Displacement magnitude after sintering. When you print a metal part with a sinter-based process like Cold Metal Fusion (CMF) or Metal FFF, the printer is only the first act. The green part that comes off the build plate is metal powder glued together with polymer binder. It then gets the binder cooked out and the bare powder fused in a furnace — and during that furnace cycle the part shrinks by around 14% and, if it was designed badly, can sag, distort, or collapse under its
Jun 266 min read


Beyond Trial and Error of Sinter-Based Additive Manufacturing
Mastering Sinter-Based Additive Manufacturing with Predictive Simulation Sinter-based additive manufacturing processes, such as Metal Binder Jetting (MBJ), Metal Injection Molding (MIM), and Cold Metal Fusion (CMF), are revolutionizing the way we produce complex metal components. By decoupling the shaping of the green part from the metallurgical bonding of the metal, these technologies offer unprecedented scalability and design freedom. But there is a catch: the furnace is a
Jun 184 min read


We officially joined Launchpad!
We are excited to share that NODiVEC has officially joined Launchpad! We are building Rheona™ to tackle the fundamental inefficiencies in metal additive manufacturing. By pairing high-speed physics simulation with deterministic AI, we are eliminating the costly trial-and-error cycles that slow down production. Join us at launchpadtv.com to see what we're working on. #NODiVEC #AdditiveManufacturing #PhysicsSimulation #Launchpad
Jun 11 min read


Introducing NODiVEC: The End of Additive Manufacturing Trial-and-Error
Legacy simulation tells you where a complex part will fail. It doesn't tell you how to fix it. At NODiVEC, we are eliminating the multi-million dollar "failure tax" by shifting the industry from raw data generation to Automated Decision Support. Meet Rheona™: our new software ecosystem that pairs a high-speed, workstation-native FEM physics engine with the CoEngineer™—a deterministic AI agent that translates complex thermal and stress fields into instant, mathematically certa
Jun 11 min read
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