What are the most important 3D printing automation innovations for your business?

1 Design automation

One of the first steps in any 3D printing project is to create or modify a digital model of the object you want to print. This can be done using various software tools, such as CAD, CAM, or 3D scanning. However, these tools often require manual input, expertise, and trial and error, which can slow down the process and increase the risk of errors. Design automation is a way to streamline and simplify this step, by using algorithms, artificial intelligence, or generative design to create or optimize 3D models automatically, based on predefined parameters, constraints, or goals. For example, you can use design automation to create 3D models that are optimized for strength, weight, or aesthetics, without having to tweak every detail yourself.

2 Slicing automation

Slicing is the process of converting a 3D model into a series of instructions for the 3D printer, such as the layer height, speed, temperature, and infill. Slicing is usually done using a dedicated software program, such as Cura, Simplify3D, or PrusaSlicer. However, slicing can also be automated, by using cloud-based platforms, such as AstroPrint, 3DPrinterOS, or OctoPrint, that can slice your 3D models remotely and send them to your 3D printer wirelessly. Slicing automation can save you time and hassle, by eliminating the need to transfer files manually, adjust settings for different printers or materials, or monitor the printing progress.

3 Printing automation

Printing automation is the process of making the 3D printer more autonomous and efficient, reducing the human intervention and supervision required. This can be done through various hardware and software solutions, such as multi-material extruders for printing with different materials or colors in one job, auto-leveling sensors to calibrate the print bed without a leveling tool, filament sensors to detect when the filament runs out or breaks, power outage sensors to resume the print from where it left off in case of a power failure, and camera modules to monitor the print quality and send alerts or snapshots via email or app.

4 Post-processing automation

Post-processing is the process of enhancing the look and performance of a 3D printed object, by removing support structures, smoothing surfaces, curing resin, or adding finishing touches. This step can be time-consuming and labor-intensive, but post-processing automation is available to make it easier and faster. Machines or devices can be used to perform some of the post-processing tasks automatically, such as support removal machines that use water, air, or vibrations; surface finishing machines that use sanding, polishing, or blasting; curing chambers that use UV light and heat; and painting machines that apply colors or coatings using spray or airbrush.

5 Quality control automation

Quality control is a process of verifying the accuracy and consistency of 3D printed objects by comparing them to the original 3D model or specifications. Quality control is essential to guarantee that the 3D printed object meets the requirements and expectations of the customer or end user. Quality control automation makes this process more dependable and objective, utilizing technologies such as 3D scanners, sensors, and machine learning. 3D scanners, such as Geomagic Control X, PolyWorks, or Verisurf, can scan the 3D printed object and compare it to the 3D model. Sensors can measure temperature, humidity, or pressure during printing and alert you if there are any deviations or anomalies. Machine learning can analyze data from sensors, cameras, or scanners to detect any defects or errors with software like Sigma Labs PrintRite3D, Authentise, or 3YOURMIND.

6 Integration automation

Integration automation is the process of connecting and coordinating the different steps and systems involved in 3D printing, from design to delivery. This process can help streamline and simplify your 3D printing workflow, by enabling data exchange, communication, and synchronization between different software, hardware, and platforms. For instance, integration automation can be used to import and export 3D models from various sources, sync and share your 3D printing settings across different devices, control multiple 3D printers from one dashboard, and automate and optimize your 3D printing orders and logistics.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?