Dimensional Accuracy in 3D Printing - And the Build volume of the H2D

This is Chapter 9 of a fairly extensive article I wrote on the topic. However, this section focuses specifically on the new printer and is based on the information currently available — which is still quite limited. Nonetheless, I’d like to share my contribution.

9 Understanding Dimensional Accuracy on the Bambu Lab H2D

The Bambu Lab H2D officially launched on March 25, 2025, and it’s already sparking plenty of conversation. However, it’s not widely available yet — only a select group of early reviewers have received units. So far and to my knowledge, no one has performed in-depth dimensional or geometric accuracy testing, which leaves a noticeable gap in the conversation. Until more data comes in, we’re left relying on official specs and initial impressions.

Teaser of the 22 of March of 2025

9.1 Specs That Signal Precision

According to Bambu Lab, the H2D is packed with features designed for serious precision. One standout is the optional Vision Encoder Board, an optical motion-tracking system that delivers XY motion accuracy down to 50 microns. For a machine with a generous build volume of 350 × 320 × 325 mm, that’s remarkable. This puts the H2D closer to what you’d expect from industrial-grade platforms, not just hobbyist desktop printers.

Here, I’d like to add a personal perspective regarding the printer’s build volume. Some of the early reviews were quick to criticize the H2D’s relatively compact build size. However, I believe this was a carefully considered design choice by the Bambu Lab development team — a team that has consistently shown they don’t make hasty decisions, unlike some other brands.

The reality is this: the larger the machine, the harder it becomes to maintain high dimensional accuracy. That’s a fact, not just an opinion. Yes, it’s technically possible to achieve excellent precision and tight tolerances on large-format machines — but at what cost? Would most users be willing to spend several thousand euros for that level of performance?

There are good reasons why high-end CNC machines capable of 1–2 µm tolerances — like the Kern Microtechnik Micro HD or DMG Mori NTX 1000, both 5-axis systems — come with such high price tags. These are universal tools built for subtractive manufacturing, engineered to endure mechanical stress over many years with unmatched accuracy. But their cost? Easily 1 to 2 million euros.

I know I’m citing extreme cases, but even more common, industry-standard machines often fall within the €200,000 to €300,000 range, depending on their specifications and overall build quality. In that context, the H2D’s balance between precision and affordability makes a lot of sense.

And to be honest, I still don’t quite understand how they manage to sell these machines at this price point. What would a machine with a build volume of 350 × 350 × 350 mm, or even 400 × 400 × 400 mm, actually cost?

Have you considered that going beyond a certain size might cross a limit that Bambu Lab themselves set — either as a deliberate design constraint or due to technical or supply chain restrictions that prevented them from scaling further with a machine that already delivers so much? Only they truly know.

Of course, some people will argue that removing the laser module and safety systems could have brought the price down, and so on. Maybe that’s true. Maybe not. It’s hard to say.

But there’s another angle that’s often overlooked: thermal expansion in large-format machines, and its impact on dimensional accuracy. A fellow Reddit user (u/phansen101) made an excellent point in this regard (link to post), citing real-world examples from his experience with a large-format printer (MODIX BIG 120X). He highlighted how the aluminum frame, steel rails, bed, and other components all expand at different rates when heated — creating internal stress and potential shifts in accuracy, particularly when dealing with uneven heating or long vertical movements. Even something as seemingly minor as the bed heating from 20°C to 60°C can cause over a millimeter of expansion across a large print surface.

And while the Z-axis is even harder to predict due to mixed materials and shifting exposure levels during printing, it reinforces a broader truth: the bigger the printer, the harder it is to maintain precise, repeatable accuracy across the full build volume. Especially in a world where 0.1 mm matters.

And yes, we’ve done some calculations — it’s a simplified approach, but still a good indicator of what’s happening. — Check the post here.

This level of structural complexity is something CNC machines are often designed to account for with heavy-duty materials, temperature-controlled environments, and massive price tags. In the context of a consumer-level FDM printer, however, these physical limitations are much harder to manage without driving the cost through the roof.

So maybe — just maybe — the relatively compact size of the H2D wasn’t a compromise at all, but rather a smart move to keep the precision high without chasing dimensions that would only make everything more difficult and expensive to control.

Another key feature is its automated dual-nozzle calibration system, which uses eddy current sensors to precisely align the nozzles without physical contact. Since the process is touchless, it isn’t affected by residual material on the nozzle tips — a smart move for maintaining consistent calibration over time.

9.2 First Impressions from Reviewers

Reviewers who’ve had hands-on time with the H2D report promising results. On March 26, Tom’s Hardware noted that the Vision Encoder significantly improves surface quality and positional accuracy, especially in curved geometries. While raw measurement deltas before and after calibration weren’t dramatic, the overall print sharpness and surface finish clearly benefited.

Similarly, TechRadar described the dimensional accuracy as “excellent,” though they did observe minor cylindrical wobble — a common quirk in CoreXY architectures. They emphasized, however, that with the Vision Encoder enabled and when using Bambu Lab’s proprietary filaments, the H2D achieves prints that closely mirror the digital model.

9.3 The H2D’s Built-In Intelligence

Beyond robust mechanics, the H2D brings intelligent extrusion management to the table. The DynaSense system — featuring a high-frequency torque sensor sampling at 20 kHz — allows real-time feedback control of the filament flow. Combined with active flow compensation, which adjusts extrusion based on nozzle pressure, this results in more consistent layer deposition, especially along the Z-axis.

And with a heated chamber (up to 65°C) and all-metal hotend (up to 350°C), the H2D is clearly engineered to handle high-performance materials like carbon fiber-reinforced filaments. This thermal control directly contributes to print stability and accuracy, especially for large or technically demanding parts.

Remember what was already said: Dimensional accuracy isn’t purely determined by the printer’s mechanical or electronic components. It’s a complex interplay of multiple factors: nozzle temperature, filament humidity, cooling performance, nozzle wear, and more. Each variable can subtly affect print fidelity — and together, they determine whether your final part meets expectations.

Where We’re At

On paper, the Bambu Lab H2D looks like a precision-focused workhorse: 50 μm XY accuracy, advanced auto-calibration, smart extrusion control, and the optional Vision Encoder to elevate performance even further. But without comprehensive third-party benchmarking, these are still well-informed assumptions. The technology shows promise — especially for professionals who care about dimensional reliability, like me — but how it performs across diverse environments, materials, and geometries, and users… remains to be seen.

Conclusion

Dimensional accuracy isn’t a fixed number. It’s shaped by dozens of small factors — from extrusion temperature and filament humidity to nozzle wear and cooling settings. In isolation, each of these variables might seem minor. But together, they define how your printed parts actually turn out.

What this means in practice is simple: perfect accuracy doesn’t exist — but consistent, predictable results do.

By focusing on what really matters — good flow calibration, appropriate cooling, clean materials, and forgiving design strategies — you can drastically reduce the guesswork and frustration that come with tight tolerances or failed assemblies.

Rather than constantly adjusting your printer or blaming the hardware, consider a more adaptive approach:

  • Design with real-world variability in mind
  • Build in clearances where needed
  • Calibrate for your specific setup and material
  • Accept that 0.1 mm deviation for larger parts is often perfectly functional

The best print isn’t always the most dimensionally perfect — it’s the one that fits, works, and repeats well.

In the end, dimensional accuracy isn’t just a goal — it’s a process. And by understanding that process, you gain control not just over your printer, but over the quality and reliability of everything you create.

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Great observations and food for thought. Clough42 and Robert Cowan have provided some glimmer into the dimensional accuracy that was very exciting (eg a ruler printed on both H2D and XL, the H2D was perfect while the XL was off.
I’m actually a small bit worried that I’ll have to rework some files that are tuned for the X1C for perfect fit. Some of my light fixtures I make count on the accuracy and repeatability to hide seams and light leak with snap fasteners I designed for them, like the family below, absolutely can’t wait for further examination in the forthcoming weeks!

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I was hoping clough would have done more non cf prints. So we scould really see the quality

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