According to the market observation of 3D Science Valley, 3D printing is actually a self-evolving intelligent manufacturing technology driven by software and data. Additive manufacturing software is being driven by a platform that acts as a coordinator for deeper collaboration, with more modularity and a greater focus on automation and databases, which is the typical trend today. Software solutions supported by the ecosystem platform will reach its full potential.
Aibuild, a pioneer in implementing AI in 3D printing, recently launched Aibuild 2.0, the latest version of the company's software platform, introducing enhanced capabilities and new strategic partnerships aimed at accelerating innovation in the large-format additive manufacturing industry.
Aibuild from slicing to process control
© Aibuild
A single cloud platform
Aibuild represents a unique category of software – seamlessly integrating the entire manufacturing process, from slicing and optimization to real-time control and monitoring, within a single AI-powered cloud platform.
AI-enabled 3D printing
© 3D Science Valley White Paper
Trusted by the world's leading manufacturers such as Ford, Boeing, and Nikon, the Aibuild platform provides fully automated machining path generation for a wide range of industrial AM-additive manufacturing technologies, including polymer extrusion, metal DED directed energy deposition, WAAM, cold spray, and concrete extrusion, on robotics and gantry systems.
Key features of the new version include:
Fully automated: Every operation on the platform is trackable and reusable, allowing users to define a manufacturing strategy once and generate printable machining paths with a single click.
AI Co-Pilot: Aibuild's built-in AI assistant autonomously recommends and performs actions, making AM accessible to engineers of all experience levels.
Seamless integration: The software integrates seamlessly with an ever-expanding network of AM hardware and materials, providing a unified platform for the entire manufacturing process without the need for trial and error.
Infinite flexibility: The open platform architecture and visual programming interface allow for the unlimited creation of advanced machining paths.
Access Anywhere: Aibuild's secure, ISO 27001-certified cloud infrastructure requires no installation, upgrades, or file management – making AM additive manufacturing workflows accessible from any device and location.
In addition to software enhancements, Aibuild has forged new partnerships to drive innovation in the industry. One notable partner is WASP, an Italian manufacturer of large-format 3D printers. Aibuild partnered with WASPs to seamlessly integrate the new Cerebro hardware into its platform as a digital twin. Cerebro's implementation on Aibuild software has been successfully completed, demonstrating the full compatibility of the two systems and opening up endless possibilities for all extrusion systems utilizing WASPs, including pellet and ceramic extruders.
Enter the futuristic picture of reality
It's helpful to think of the change across generations as a slow process, with each small change bringing us closer to a paradigm shift, where all of a sudden, things change. The small changes that we often overlook are accumulating over time, and you can think of it as a slowly dripping drop of water filling a container, with a tick-tock sound reminiscent of a clock, conveying a sense of time passing. When the water suddenly overflows from the container, we wake up with the alarm clock ringing.
《趋势2030》
According to the article "Insight into Data and Software Empowering Additive Manufacturing to the Development of Intelligent Manufacturing" by 3D Science Valley, machine vision and machine learning algorithms are like the eyes and brains of 3D printing equipment, empowering designers and manufacturers with more agile design and manufacturing capabilities, giving 3D printing equipment self-evolving intelligent manufacturing attributes to monitor and control printing quality, and reducing the risk of printing errors.
Over the past decade, the number of papers and patents on AM-additive manufacturing process monitoring has increased dramatically. This is because the AM-additive manufacturing process is a dynamic process, but also a digital process with potential for improvement in the build process.
According to market research in 3D Science Valley, AI is playing an increasingly important role in each specific area, including: defect detection and correction, reduction of residual stresses and failures during and after construction, in-situ metrology and design accuracy, microstructure design, alloy design and optimization.
According to market research by 3D Science Valley, all algorithms, including supervised, unsupervised and reinforced algorithms, are currently used in AM-Additive Manufacturing. Unsupervised and reinforced algorithms can learn locally from the process and develop models, changing parameters in the same build to reduce errors, minimize defects, or customize microstructures. In this case, local monitoring, local data processing, result analysis, and local control feedback are essential. This requires extensive data collection, rapid analysis and processing of data, and large storage space.
This futuristic picture of rapid production would fundamentally change the entire industry, and the fabrication, quality assurance and post-processing methods of complex parts that once took months could be reduced to days, according to the market judgment of 3D Science Valley. And all of this, with the advent of platform-based solutions like Aibuild, is happening.
If you know deeply, you can go far by doing. Based on a global network of manufacturing experts, 3D Science Valley provides the industry with an in-depth look at additive and intelligent manufacturing from a global perspective. For more analysis in the field of additive manufacturing, follow the white paper series published by 3D Science Valley.
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