AI Technology to Spur a New Wave of 3D Printing Development: Siemens, Tencent, Tripo, Banno, and Huasu Join Forces for a Live Sharing Session

On March 6, 2025, Panda3dp.com hosted a live-streamed conference themed "3D Printing + AI," bringing together industry experts from Banno Design, Siemens, Tencent, Tripo.ai, and Huasu. These professionals, specializing in AI large models, software, design, and manufacturing, engaged in discussions on the integration of AI into 3D printing applications—an emerging and highly anticipated technological trend.  

With the meteoric rise of DeepSeek, AI-powered content creation is gaining traction across various domains, and 3D printing is no exception. A growing number of users are now leveraging AI to generate 3D models, incorporating them into the 3D printing workflow. Recently, Panda3dp.com, in collaboration with Makerworld, Chuangxiangyun, Tripo AI, Meshy AI, and Banno Design, launched the "全民AI设计哪吒" (AI-Driven National Design Challenge: Nezha), attracting a multitude of participants. More details can be found at [Panda3dp.com](https://www.Panda3dp.com.com/thread-173647-1-1.html).  

Tencent Hunyuan 3D

In January, Tencent Hunyuan unveiled the industry's first one-stop 3D AI creation engine and announced the full open-sourcing of Hunyuan 3D Model Generation 2.0. This engine not only facilitates text-to-3D and image-to-3D generation but also encompasses a suite of features including 3D modeling, editing, and animation. Designed for both hobbyists and professional developers, the platform allows users to effortlessly bring their 3D ideas to life.  

Specifically, the engine supports text-to-3D and image-to-3D model generation, enabling users to create high-quality 3D models simply by entering a prompt or uploading an image. Additionally, it offers low-polygon model generation, making it particularly suitable for game engine rendering. The latest iteration of Tencent Hunyuan 3D introduces significant advancements in geometric structures and texture generation. Through a decoupled approach to geometry and textures, the model achieves superior rendering quality. It can produce ultra-high-precision white models while also generating realistic textures for any given geometry.  

In the realm of industrial manufacturing, this technology streamlines product design, prototyping, and production workflows. Engineers can rapidly generate and refine product models, which can then be directly fed into 3D printing slicing software for fabrication—substantially reducing time to market.  

Siemens' AI-Enhanced 3D Printing Applications  

Siemens has pioneered multiple AI-driven applications within the additive manufacturing sector:  

- AI-Driven L-PBF Metal Additive Manufacturing Process Monitoring  

  - AI-based defect detection  

  - A customizable preprocessing module that mitigates inconsistencies such as uneven brightness  

  - Image-based powder bed defect identification through pixel segmentation  

  - Automated defect reporting, detailing size, location, and average grayscale value  

- Layer-wise Anomaly Severity Analysis  

  - Evaluates defect severity (Criticality) across layers by analyzing historical data on defect size and grayscale variations  

  - Provides a detailed visualization of layer-wise printing anomalies  

- AI-Optimized Overheat Printing Strategies for L-PBF  

  - Addresses a key challenge in additive manufacturing—heat accumulation leading to distortions in thin walls and sharp features  

  - Utilizes a machine learning model trained on FEM simulations to rapidly compute overheating thresholds along laser paths  

  - Integrates AI-driven thermal optimization into the printing workflow for enhanced print accuracy and stability  

- Integrated Conformal Cooling Design for Mold Manufacturing  

  - Competitive advantage: Higher mold precision and extended lifespan through conformal cooling solutions  

  - NXOPEN-based one-click tool providing:  

    1. Feasibility assessment for mold printing (production method recommendations, geometric complexity analysis, cost estimation, and print time prediction)  

    2. Automatic generation of helical conformal cooling channels  

    3. AI-driven cooling channel optimization using mathematical modeling, pattern search, and genetic algorithms  

    4. AI-enhanced cooling channel cross-section optimization to enable support-free printing  

- AI-Powered Heat Exchanger Design in NX  

  - Incorporates triply periodic minimal surface (TPMS) structures for enhanced thermal performance  

  - Predicts geometric characteristics and intelligently selects topological configurations  

  - Integrates performance simulation, including 1D flow analysis for fluid behavior prediction and 3D CFD simulation for thermal performance analysis  

  - Enables natural language processing via DeepSeek and ChatGPT integrations, linking AI with simulation-driven design  

Siemens seamlessly embeds AI into the entire additive manufacturing process—from design and production to quality control—paving the way for a more efficient, intelligent, and sustainable future. As AI-driven decision-making and cross-disciplinary collaboration continue to evolve, these innovations will accelerate the digital transformation of industrial manufacturing.  

△ A variety of AI tools launched by Siemens for the 3D printing field

Tripo AI  

Since its launch, Tripo AI has gained widespread popularity, with numerous 3D printing enthusiasts adopting it for creative design. In 2024, Tripo AI partnered with TuoZhu, Anker, Elegoo, and Creality to host an international chess design competition, attracting over 500 entries and 3,000 unique designs.  

The emergence of DeepSeek has fueled the DeepSeek+Jiemeng+Tripo workflow, making it easier than ever for 3D printing enthusiasts to create IP figurines. Moreover, Tripo AI now offers 3D printing services, allowing users to bring their designs to life.  

By integrating technological innovation with an expanding industry ecosystem, Tripo AI is transforming 3D printing from a niche tool into a mainstream creative medium. Its growing accessibility is fostering advancements in personalized manufacturing, industrial design, and the cultural and creative industries. As Tripo AI continues refining its tools and enhancing model generation quality, its impact on production and consumption models across multiple sectors is set to deepen.  

△ Tripo AI has already been recognized by a large number of 3D printing enthusiast users.

During the live session, Tripo AI conducted a VIP membership giveaway, drawing significant audience engagement.  

Huasu’s 3D Printing Farm  

Huasu, a large-scale 3D printing farm based in Shenzhen, currently operates 600 FDM 3D printers for mass production, with plans to expand to 1,000 units by the end of the year. The rise of AI-driven 3D printed toys is expected to drive demand for such printing farms. To support the event, Huasu sponsored a selection of 3D-printed toys as giveaway prizes for live-stream viewers.  

△ Huasu, a 3D printing farm in Shenzhen

Banno Design's Full-Color 3D Printing Applications  

Banno Design, a leading innovator in 3D printing, specializes in game development and cultural design. With extensive experience in AI-assisted modeling, the company has successfully integrated AI into portrait figurine modeling. The accessibility of AI-generated full-color 3D models has significantly lowered the entry barrier, making high-quality 3D printing more attainable for the general public.  

Anticipating a surge in demand for full-color 3D printing, Banno Design has invested in multiple high-precision full-color 3D printers, capable of producing vibrant, intricate models. For this live session, Banno Design sponsored several AI-generated figurines of Nezha riding Ao Bing as giveaway prizes.  

△ Bannuo Design, a full-color 3D printing application service provider

The Future of AI and 3D Printing  

This conference offered an in-depth exploration of AI’s role in revolutionizing 3D printing, drawing thousands of live-stream viewers. A replay of the session is now available via Panda3dp.com’s video platform—scan the QR code below to watch.  

Looking ahead, the fusion of AI and 3D printing will drive three major transformations:  

1. Democratization of Design – AI will empower ordinary users to generate professional-grade models using natural language.  

2. Intelligent Manufacturing – AI-driven real-time optimization of printing parameters will enable smarter, more efficient production.  

3. Supply Chain Reinvention – AI-powered distributed manufacturing networks will facilitate global collaboration.  

As AI endows 3D printing with the ability to "think," we are witnessing a paradigm shift from "manufacturing objects" to "creating possibilities." Panda3dp.com will continue hosting technical forums and industry matchmaking events, leveraging platforms like Videohao and Douyin to foster an AI+3D printing innovation ecosystem.