SynaCore Unveils Digital Twin integrated Adaptive ToolPath: Self-Evolving Manufacturing Paradigm Redefines Additive Production Precision
For an industry constrained by fixed process parameters and costly trial-and-error, this capability unlocks the pathway to industrial-scale production. In an industry where precision and scalability have long stood at odds, SynaCore's Adaptive ToolPath emerges as a watershed moment for additive manufacturing. This is not incremental improvement; it is a fundamental reimagining of how intelligent systems can transform static production into adaptive processes.
[Singapore, March 10, 2026] SynaCore Pte. Ltd., a Singapore-based deep-tech pioneer in additive manufacturing digital twin technology, today announced the launch of Adaptive ToolPath, an intelligent process optimization system that transforms 3D printing from static parameter setting into continuous self-improving manufacturing.
From Fixed ToolPath to Adaptive ToolPath
Building upon SynaCore's proprietary AM-DT (Additive Manufacturing Digital Twin) multi-scale simulation platform, Adaptive ToolPath represents a fundamental shift in how advanced manufacturing achieves higher quality assurance.
"Traditional 3D printing operates on fixed recipes, predetermined laser power, scan speed, and hatch spacing that ignore the evolving thermal field during printing. SynaCore AM-DT digital twin integrated Adaptive ToolPath generates machine-ready scan patterns optimized from transient thermal finite element analysis. By anticipating the thermal response fully in digital space, before the actual printing, SynaCore enables our customers to print high quality parts with stable thermal signatures. We're not just predicting outcomes; we're creating manufacturing that is tailored to every part produced," said Dr. Guglielmo Vastola, CTO of SynaCore.
Full Support for Open Vector Format (OVF)
With this release, SynaCore AM-DT fully supports the Open Vector Format (OVF) file exposures, marking a milestone in hardware-software integration capabilities. Adaptive scan patterns generated by the SynaCore AM-DT can be exported directly to OVF format, and externally generated OVF files can be imported for optimization by SynaCore AM-DT. SynaCore AM-DT provides full support for scan vector-dependent laser power, scan speed and scan time.
OVF represents a critical enabler for the industrialization of additive manufacturing, offering an open, compact binary format that bridges the gap between digital process chains and physical production systems. The format's ability to embed process parameters, including laser power, scanning speed, and exposure timing, alongside geometric toolpaths establishes a robust end-to-end data chain essential for automated, scalable LPBF production. This industrial viability has been demonstrated through BMW Group's landmark IDAM project at its Munich facility.
Tangible Outcomes with Optimized Toolpath
Based on SynaCore proprietary optimization algorithms, SynaCore's Adaptive ToolPath considers temperature evolution both across layers, for example temperature buildup in thin and tall parts, as well as within the same layer, which is crucial in complex parts such as overhangs and bridges. By optimizing the process parameters for each and every scan vector, SynaCore AM-DT Adaptive ToolPath optimized scan pattern significantly corrects overheating.
The Science of Self-Evolution
At the core of Adaptive ToolPath lies SynaCore's breakthrough integration of the AM-DT digital twin:
- Multi-physics simulation models predicting thermal evolution, including precipitate nucleation and growth kinetics critical to mechanical performance.
- Closed-loop autonomous learning creating a "sense-simulate-decide-execute-learn" cycle through digital twin calibration against sensor fusion data.
"The breakthrough is closing the loop, taking real defect data from photodiode melt pool monitoring, thermal imaging, and post-build CT scans, then feeding it back to refine our thermal boundary conditions and nucleation parameters. This is how manufacturing becomes self-correcting," explained Dr. Vastola.
The system continuously ingests feedback data, including residual stress-induced distortion, solidification cracking susceptibility indices, and lack-of-fusion porosity distributions, to refine the SynaCore AM-DT digital twin. Each subsequent build benefits from accumulated process knowledge, establishing SynaCore's digital twin as an evolving manufacturing asset.
"We are not simulating for the sake of simulation. Every prediction drives a decision, where to place the next tool path contour to avoid overheating, how to modulate laser power based on local thermal mass, and when to modify scanning strategy to mitigate residual stress accumulation. We implement this through adaptive mesh refinement in our thermal solver and dynamic programming for scan vector sequencing. The digital twin becomes the brain of the machine, executing model predictive control at the millisecond timescale," Dr. Vastola added.
The launch follows SynaCore's successful commercialization of AI Alloy, SynaCore's intelligent materials design module which is also integrated into the AM-DT digital twin. Together, SynaCore AI Alloy and Adaptive ToolPath form a comprehensive digital manufacturing ecosystem, from alloy composition to finished part performance.
Starting from the TCTAsia exhibition on March 16-19, 2026, SynaCore is accepting trial applications through its web platform www.synacore.net.
About SynaCore
Originating from the Institute of High Performance Computing (IHPC) at Singapore's Agency for Science, Technology and Research (A*STAR), SynaCore is a technology company registered in Singapore. Its mission is to enable scalability and sustainability through intelligent digital twin transformation, with a vision to drive real-world manufacturing through digital intelligence.
SynaCore specializes in developing and deploying advanced digital twin software integrated with AI-driven solutions, helping organizations optimize operations, unlock data-driven insights, and achieve manufacturing scalability. SynaCore's AM-DT digital twin transcends traditional simulation by integrating continuous learning capabilities, automatically optimizing predictions based on actual manufacturing feedback, eliminating repetitive manual calibration cycles, thereby reducing waste and accelerating the innovation process.
The multiscale solvers of SynaCore's AM-DT digital twin calculate porosity, surface quality, and microstructure, providing manufacturers with unique advantages in producing high-value-added metal products. Furthermore, the platform integrates functionalities such as Advanced Mesher, AI Alloy, and Adaptive ToolPath, facilitating the scaling of additive manufacturing processes to meet mass production demands.
Its strategic base in Singapore, a global hub for technology and commerce, enables the company to serve a diverse international clientele while adhering to world-class corporate standards.