[3D Printing] FastForm Metal 3D Printing AI Large Model!

AI Leads a New Era of Mass Production in Metal 3D Printing

On June 26th, UnionTech (Mei Guang Su Zao), which has been deeply rooted in the field of metal additive manufacturing for many years, held a technology launch event titled "AI Paving the Way for a New Frontier in Smart Manufacturing and the Future of Mass Production," officially announcing the release of its three vertical AI models: FastLayer, AM Build, and AM Mind.

These three systems cover data processing before manufacturing, dynamic process control during manufacturing, and equipment operation and production management, forming a closed-loop smart manufacturing system from 3D model to mass production.

Years of Technical Accumulation Form the Foundation of AI Metal Additive Manufacturing

The successful introduction of full-process AI technology into actual production lines is backed by many years of rich experience in equipment deployment, manufacturing data, software development, and industrial applications.

• Market Application: Accumulated industrial data from approximately 3,000 deployed units in actual production environments.
• Manufacturing Process Technology: Independently developed LFPT technology to improve the efficiency of metal 3D printing.
• Software Development: Long-term investment in slicing and data processing software development, establishing integrated software and hardware capabilities.
• R&D Team: Continuous investment in specialized R&D personnel and resources to drive the upgrade of metal additive manufacturing technology.

Unlike traditional methods that simply match software to hardware, UnionTech has chosen an approach that re-engineers the entire metal 3D printing production process using AI, based on its independently developed software.

FastLayer: AI-Driven Metal 3D Printing Pre-processing System

FastLayer is a data processing platform for industrial metal 3D printing. It integrates model processing, nesting, support generation, slicing, and build parameter management, reducing operational difficulty and reliance on the experience of veteran engineers.

This platform uses the latest modeling and rendering engine, capable of processing large-scale 3D lattice models and providing automated functions suitable for various industry scenarios.

Application in Dentistry

By simply importing crown and implant bridge models, FastLayer automatically performs nesting, support generation, and connecting bar placement, significantly reducing data preparation time.

Application in Shoe Molds

The platform recognizes and automatically segments complex pattern areas, combining different layer thicknesses and overlap strategies to improve the processing efficiency of shoe mold data.

Application in Molds

Supports automatic hollowing (shelling) and internal core generation. After setting the wall thickness and internal core parameters, the system automatically segments the internal and external structures. Each can have its own layer thickness and spot parameters, achieving a balance between manufacturing efficiency and surface precision.

Additionally, FastLayer supports batch nesting for multiple machines, simultaneous nesting and slicing, generation of stabilizer walls for thin-walled parts, and creation of various intelligent supports such as pinpoint, grid, and solid types.

By integrating with cloud digital platforms and MES systems, it enables parameter backup, synchronization of official manufacturer parameters, and data management for multiple devices, resolving inconsistencies in parameters across different machines.

AM Build: Keeping Every Layer of Metal Manufacturing Optimal

Traditional metal 3D printing generally uses fixed parameters for the entire part. In contrast, AM Build converts manufacturing process experience into an AI model, dynamically adjusting process parameters according to different geometries and build states.

Reduces the need for support and post-processing

For specific geometric structures, AM Build reduces the amount of support material and post-processing steps required, alleviating material consumption and the burden of support removal after part extraction.

Improved surface quality

By dynamically adjusting parameters based on the build area, issues such as oxidation, color variation, edge burrs (dross), and surface roughness are improved. This achieves a more uniform appearance and finer details in single-pass part formation.

Horizontal overhangs and bridge structures

Through dynamic process control, AM Build improves the formability of horizontal overhangs and bridge structures, reducing the risk of warpage, defects, and surface imperfections.

Prevention of thin-walled part deformation

AM Build dynamically adjusts its strategy based on stress distribution during manufacturing, improving the stability of one-shot formation for complex thin-walled parts.

Breaking the limits of conventional overhang angles

In traditional SLM processes, as the overhang angle approaches horizontal, surfaces generally become rougher, and formation defects are more likely to occur. AM Build significantly improves surface quality in low-angle overhang areas through dynamic parameter adjustment.

Beyond merely optimizing hardware, AM Build integrates AI directly into the manufacturing process itself, further enhancing the potential for stable production of complex structural parts.

AM Mind: Intelligent Operation and Maintenance System for Metal Additive Manufacturing

AM Mind is a system that integrates production process monitoring, equipment status management, and anomaly analysis. It includes voice interaction functionality, allowing operators to quickly query equipment information and production status.

To mitigate the risk of AI misjudgment or illogical algorithm outputs, AM Mind incorporates physical laws and industrial logic calibration into its models, ensuring that analysis results align more closely with actual manufacturing conditions.

The system is trained using actual equipment operational data, industry technical manuals, and expert knowledge, improving the reliability of recommendations for production management and equipment maintenance.

Metal 3D Printing Shifts from "Equipment Spec Competition" to "Software and AI Integration"

The metal 3D printing industry is gradually moving from simply pursuing equipment specifications to integrating software, process models, equipment management, and AI. FastLayer, AM Build, and AM Mind each address "data preparation," "manufacturing production," and "equipment maintenance," demonstrating the evolution of digitalization throughout the entire process.

Through the bidirectional integration of software and AI, metal additive manufacturing is expected to lower operational barriers, increase forming stability, and accelerate the transition from single-part prototyping to industrial mass production.