Additive Manufacturing: The Next Generation in Laser Powder Bed Fusion

Alexander Oster November 18, 2024

9 min read

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Autodesk and SCANLAB have collaborated to create a real-time closed-loop control system for laser powder bed fusion processes, integrating SCANLAB’s advanced laser control systems with Autodesk’s Fusion software, significantly enhancing precision and efficiency in additive manufacturing.

At the heart of many industrial 3D printers, particularly those used for processing metals, are high-powered lasers moving at incredible speeds to melt or sinter powdered material with precision. The demands of this process—combining high power with exceptional accuracy and rapid response times—push the boundaries of modern science and engineering.

Schematic rendering how laser beams are directed over a two-dimensional plane.

Achieving closed-loop control, where the system continuously monitors the process temperature and adjusts the laser’s operation, has long been a challenging goal in laser-based manufacturing. Despite decades of effort, hardware manufacturers have struggled to fully realize this capability.

SCANLAB and Autodesk team up to enable real-time control for laser powder bed fusion processes

SCANLAB GmbH is a global leader and independent OEM in laser beam deflection and positioning solutions, produces over 40,000 high-performance systems annually. Their galvanometer scanners are trusted across diverse industries. These include industrial material processing, electronics, food and beverage technologies, automotive and aerospace engineering, and, notably, additive manufacturing.

Through the integration of SCANLAB’s advanced laser control systems with Autodesk’s Fusion software stack, research labs and machine tool builders now have access to a complete, real-time closed-loop solution as standardized, off-the-shelf component.

For the first time, precision-controlled process management is within reach for any machine tool manufacturer. This eliminates the need for costly R&D investments and accelerating innovation across the industry.

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Precision path planning for industrial laser processes

Just as path planning is essential for CNC controllers in 5-axis machining, accounting for mirror inertia is a critical factor for achieving precision in industrial laser processes.

SCANLAB’s SCANmotionControl software is a standout solution in the market. It offers the unique capability to pre-calculate optimal trajectories based on specified machining patterns and process parameters—all while operating within the physical constraints of the hardware.

For example, users can define corner tolerance to achieve precise rounding or maintain a constant processing speed. Additionally, minimum and maximum process speeds can be set, optimizing laser-off times and eliminating the need for time-intensive manual adjustments,. This ultimately ensures consistent, high-quality results.

With 34 years of expertise, SCANLAB delivers unparalleled accuracy, predicting laser beam movements with timing precision down to 10 microseconds and spatial accuracy within the micrometer range. These advanced capabilities are essential for advancing towards the vision of “industrialized additive manufacturing,” which holds the potential to revolutionize traditional manufacturing methods.

SCANmotionControl integrated with Autodesk Fusion

The integration of SCANLAB’s systems with Autodesk Fusion and Autodesk Netfabb allows simulation and control capabilities to be parameterized and customized directly from the CAD toolchain.

Advanced utility path in Autodesk Fusion for laser powder bed fusion.
Fusion’s advanced toolpath utility is the dream environment for every process engineer

Autodesk’s state-of-the-art toolpathing kernels provide developers with unparalleled control over laser operations, enabling hatch-level precision and microsecond-level timing. Key features include:

It is impossible to fully outline the extent of these capabilities in a single blog post, but the leap compared to the current state of the industry is truly transformative. And as a consequence, the Advanced Toolpath Utility has proven to be very popular in Academia and Industrial Research alike.

With Autodesk’s support, SCANLAB has leveraged this powerful toolchain to develop and open-source example code for a specialized toolpathing kernel. This kernel highlights the advanced features of SCANmotionControl and establishes a seamless connection between the CAD environment and the hardware controller, effectively bridging the gap between design and the manufacturing process.

The Autodesk Fusion ecosystem for laser powder bed fusion

This code can now can be published within minutes to a mass market CAD platform like Autodesk Fusion, which boasts millions of users. This accessibility significantly reduces the time required to transition from laboratory-stage development to production-ready systems. Thus dramatically accelerating innovation and enhancing the competitiveness of machine tool manufacturers.

But it’s not just about toolpathing. Integration into a broader parametric CAD environment, along with features like PLM data management, FEA simulation, and CNC postprocessing, is essential for any solution to achieve widespread adoption. Autodesk Fusion delivers all of these capabilities seamlessly. It offers a comprehensive solution at an exceptionally competitive price point—an almost negligible addition to any machine vendor’s financial planning.

Temperature control with process simulation for laser powder bed fusion

Thermal control remains one of the key challenges in process management for laser powder bed fusion additive manufacturing. Insufficient melting temperatures can result in incomplete fusion, while excessive laser power can cause keyholing. This leads to increased porosity and reduced part quality.

Autodesk Fusion, equipped with the industry’s most validated FEA process simulation solver, provides an ideal platform to address these challenges. This setup enables simulation-driven, upfront adjustments to laser power across the entire volume, ensuring consistent thermal performance and improved process reliability.

Left: Build process temperature with constant laser power. Right: Build process temperature with locally adjusted laser power and constant temperature which avoids hot spots.

While simulation-based power optimization is great to mitigate global issues like part distortion and temperature buildups, it has its limitations. For example, local defects like corner hotspots and overhang surface quality are expensive or impossible to resolve.

Emerging developments in physics-based AI surrogate modeling for process simulation are moving those limitations quite a magnitude. However, this is also where an in situ, closed-loop approach to power control becomes highly complementary. Even if used solely for monitoring or constraining the process to its digital twin, real-time adjustments can significantly enhance precision and ensure a closer alignment between the physical and simulated processes.

Demonstrator platform based on a mass-market machine

To be credible, even the most compelling software architecture is incomplete without a robust hardware proof of concept. To address this, SCANLAB funded the development of a Technology Demonstrator in collaboration with the Technical University of Munich. This demonstrator retrofits a commercial-grade, off-the-shelf machine with cutting-edge scanning and laser technologies, including SCANLAB’s fiberSYS, SCANmotionControl, and Open Interface Extension.

Technical demonstrator for laser powder bed fusion.

Built on the exceptionally compact and robust mass-market MPRINT system from One Click Metal, the demonstrator has achieved remarkable results. The machine has been upgraded with two cutting-edge fiberSYS heads, supporting dual 1000-watt lasers from IPG Photonics, along with a two-color pyrometer from Sensortherm. Together with SCANLAB’s advanced real-time control electronics, this setup enables the system to react to melt pool temperature changes within just a few microseconds.

All hardware components are seamlessly integrated with Autodesk’s Machine Control Framework, which provides direct, end-to-end connectivity with the Autodesk Fusion ecosystem. Thanks to the industrial-grade quality of the hardware and software, the integration process required only a few weeks of part-time engineering effort to produce the first parts with precisely controlled laser power.

Plot of recorded real-time laser powder bed fusion adjustments.
Plot of recorded real time laser power adjustments.

Enabling a 50kHz real-time PID control on the laser output has significantly enhanced the visual quality of parts, particularly in overhangs and other complex regions.

Overhang print with uncontrolled laser power (316L, constant power 300W, 1050mm/s)
Overhang print with controlled laser power (316L, base power 300W, 1050mm/s)

Research collaborations for laser powder based fusion

To scale this approach, SCANLAB engaged with several other research institutes, whose contributions are described in the following sections. These collaborations focused on testing and extending the methodology to address broader application needs.

Hochschule Aalen

At the Laser Application Center (LAZ) of Aalen University, a modular 3D printing platform was developed to enable temperature-controlled process management for Laser Powder Bed Fusion (L-PBF). Using the component setup described above, the system achieves a 50 kHz sampling rate to record process data such as single-channel and quotient-channel pyrometer temperature readings, controller outputs, and actual emitted laser power—all mapped to precise spatial positions.

Build process video recording (at 2x speed)

This process data is seamlessly integrated with the Autodesk Machine Control Framework and stored in a proper database. The stored data can be extracted at any time to generate detailed heatmaps and plots, offering enhanced visualization and actionable process insights.

The resulting temperature control system effectively mitigates heat accumulation during layer exposure and stabilizes process temperatures across individual exposure vectors. Control plots generated from the system demonstrate its precision and reliability. The amount of detail and process insight is really remarkable.

Bremer Institute für Angewandte Strahltechnik (BIAS)

The BIAS in Bremen is one of Germany’s leading laser research institutions. Unlike real-time process adjustment, BIAS researchers have explored a discretized approach, modulating laser power based on data from the previously recorded layer.

In this method, the scan field is divided into thousands of small PID control elements, each independently adjusting the laser power for its specific region. This stepped approach effectively mitigates larger heat buildups, ensuring more consistent thermal management.

Preliminary results from test prints indicate promising reductions in keyholes and porosity. Thus demonstrating the potential of this technique to enhance part quality.

Project schematic: The power modulation of a certain field is determined by the layer below.

Even more intriguing are the adjacent measurements conducted as part of this project. Despite the high movement speeds of the scanner optics, the monitoring setup successfully detected gas flow disturbances and other process defects originating from the mechanical system. These findings highlight the system’s capability to capture critical process anomalies beyond thermal control.

Process monitoring can detect amoke and an invalid calibration of the gas flow atmosphere.

Commercial impact

Melt Pool Monitoring has been a subject of academic research for many years. What sets SCANLAB’s approach apart is its ability – as market leader in this industry – to take these foundational research concepts and integrate them into one of their core commercial products. By adhering to industrial-grade development practices and delivering at an attractive price point, SCANLAB is helping to set new standards for the industry and bring greater maturity to additive manufacturing processes.

The Additive Manufacturing Team at Autodesk is proud to support SCANLAB in utilizing Autodesk Fusion as an integrated platform, enabling the delivery of end-to-end value to their customers.

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We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

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