Dyndrite and Ansys Partner to Revolutionize Metal Additive Manufacturing with Integrated Thermal Simulation Capabilities!

In a groundbreaking move for the additive manufacturing industry, Dyndrite, a leading developer of next-generation industrial software, has announced a strategic collaboration with Ansys, part of Synopsys, a global leader in engineering simulation solutions. The partnership aims to integrate Ansys’ advanced thermal processing simulation software into Dyndrite LPBF Pro, ushering in a new era of predictive, simulation-driven metal additive manufacturing.

This collaboration is designed to tackle one of the most complex challenges in metal additive manufacturing—understanding and controlling thermal behavior during the Laser Powder Bed Fusion (LPBF) process. By combining Dyndrite’s powerful computational framework and precise toolpath control with Ansys’ predictive thermal simulations, the partnership promises to enhance the accuracy, efficiency, and reliability of metal 3D printing workflows.

The integration will allow engineers and manufacturers to simulate, predict, and optimize the thermal dynamics of a part before printing begins, enabling them to identify and mitigate risks such as thermal distortion, residual stress, and microstructural variability. This proactive approach minimizes costly trial-and-error iterations, reduces material wastage, and ensures that critical components meet the highest quality and certification standards.

For industries like aerospace, defense, and energy, where components are often large, complex, and safety-critical, the ability to digitally predict thermal behavior can be transformative. Manufacturers can anticipate potential issues, fine-tune build parameters, and validate part performance virtually—accelerating qualification and improving consistency across production lines.

The benefits of this collaboration extend across the entire metal AM workflow:

• Risk Reduction: Engineers can foresee and address thermal-related issues before a single layer is printed, drastically lowering the chance of failed builds.
• Accelerated Qualification: Digital validation of process-structure-property relationships reduces reliance on costly physical print trials.
• Cost Savings: Minimizing scrapped builds conserves both materials and valuable machine time.
• Improved Confidence: Predictive simulations ensure mission-critical components meet demanding performance and certification requirements.
• Repeatable Results: Dyndrite’s Python APIs allow users to codify proven build strategies and replicate them across machines, sites, and projects.

Future integration efforts aim to push this synergy even further. Engineers will soon be able to incorporate high-fidelity simulation results directly within Dyndrite LPBF Pro, using region-specific toolpath strategies that intelligently assign laser parameters, manage overhangs, and mitigate stress. The outcome—smarter, more reliable builds and greater adoption of advanced multi-laser metal AM systems.

“Thermal behavior is one of the most significant challenges in metal additive manufacturing,” said Christopher Robinson, Lead Product Manager of Additive Manufacturing at Ansys. “By integrating our predictive thermal simulations into Dyndrite’s software, engineers can inspect and optimize toolpath parameters before a single layer is printed.”

Echoing this sentiment, Harshil Goel, Founder and CEO of Dyndrite, emphasized: “By combining Dyndrite’s toolpathing power with Ansys’ predictive capabilities, we can help manufacturers increase confidence, improve reliability, and accelerate the adoption of metal AM for mission-critical applications.”

Dyndrite and Ansys are inviting early LPBF adopters to participate in this initiative and contribute feedback as they validate how simulation-driven build preparation can reduce risk, enhance efficiency, and revolutionize the future of metal additive manufacturing.