GUIDES: Understanding Accuracy, Precision, and Tolerance in 3D Printing
Just because a 3D printer has "high resolution” in the printer specifications doesn’t mean your 3D printed parts will be accurate or precise.
Understanding the meaning of accuracy, precision, and tolerance is imperative for achieving meaningful 3D print performance for any application. In this post, we’ll parse through what these terms mean and how to think about them in the context of 3D printing
Defining Accuracy, Precision, and Tolerance
Let’s start with definitions: What’s the difference between accuracy, precision, and tolerance? For each term, we’ll use a target—a common example for unpacking these concepts—to help visualize meaning.
Accuracy is how close a measurement is to true value. In the case of a target, true value is the bullseye. The closer you are to hitting the bullseye, the more accurate your shot. In the world of 3D printing, true value equals the dimensions you design in CAD. How closely does the 3D print line up to the digital design?
Precision measures the repeatability of a measurement—how consistent are your shots at the target? Precision measures this consistency only; your shots could be hitting near the same spot every time, but that spot doesn’t have to be the bullseye. In 3D printing, this ultimately translates to reliability; can you rely on your machine to produce your expected results for every print?
In broad engineering terms, “precision” generally measures repeatability. When comparing 3D printing materials, “precise” can refer to materials capable of printing highly intricate geometries. For example, Formlabs Grey Pro Resin and Rigid Resin have high green modulus, or stiffness, which enables successful printing of thin, intricate features.
Exactly how precise do you need to be? That’s defined by tolerance, and tolerance is defined by you. How much wiggle room do you have in your application? What’s an acceptable variance in the closeness to the measurement that precision is hitting? That will depend on your project, for example, a component with a dynamic mechanical assembly will require tighter tolerances than something like a simple plastic enclosure.
If you’re defining a tolerance, you’ll likely want accuracy too, so let’s assume we’re measuring precision of shooting at the bullseye. Earlier, we defined the shots on the target pictured on the right as not precise.
However, if your tolerance range is fairly wide, it may be okay. The shots aren’t as close to each other as in the target on the left, but if the acceptable range of precision is the distance of ±2.5 rings, then you’re within spec.
Generally, achieving and holding tighter tolerances means higher manufacturing costs and quality assurance.
How to Understand Accuracy and Precision in 3D Printing
There are a variety of factors to consider when thinking about accuracy and precision in 3D printing, but it’s also important to identify your specific needs.
For example, a precise-but-inaccurate 3D printer may be the best choice for some applications. A low-cost fused deposition modeling (FDM) machine will produce less accurate parts, but for an educator teaching students about 3D printing for the first time, it may not be important for the model to exactly match a student’s CAD design.
However, knowing that the printer will consistently work as promised and produce the quality expected from it, within the tolerances the user is used to, could be crucial to a successful experience.
Read our in-depth guide about FDM vs. SLA 3D printers to learn how they compare in terms of print quality, materials, applications, workflow, speed, costs, and more.
Here are four big factors at play in determining the accuracy and precision of a 3D printer:
3D Printing Technology
3D printing is an additive process, so parts are built layer by layer. Each layer introduces an opportunity for inaccuracy, and the process by which layers are formed affects the level of precision, or repeatability, of the accuracy of each layer. For example, in FDM 3D printing, layers are extruded by a nozzle, which lacks the control and ability to achieve intricate details that other 3D printing processes can offer.
Because layers are extruded, FDM parts might show inaccuracies around complex features. (FDM part on the left, SLA part on the right).
In stereolithography (SLA) 3D printing, liquid resin material is cured by a highly-precise laser to form each layer, which can achieve much finer details and is more reliable to repeatedly achieve high quality results.
Similarly, selective laser sintering (SLS) 3D printing relies on the precision of a laser to fuse nylon powder into solid parts.
3D printer specs alone do not represent final dimensional accuracy. One common misrepresentation of accuracy for various 3D printing technologies is the descriptions of XY resolution as dimensional accuracy.
For digital light processing (DLP) printers, XY resolution is the projected pixel size. Many 3D printer systems use this projected pixel size, or XY resolution as the overall accuracy figure—for example, taking a 75 micron projected pixel size and asserting that the accuracy of the machine is ±75 microns.
Check out our guide about SLA vs. DLP 3D printing where we walk through the details of the two resin 3D printing processes and explore how they compare.
However, this data has no implications for how accurate a printed part will be. There are many sources of error that still have an impact on accuracy, from components, to calibration, to the next two we’ll cover: materials and post-processing.
Ultimately, the best way to evaluate a 3D printer is to inspect real parts.