3D Printing

Calibrating the Sovol SV08 Temp Tower in OrcaSlicer

Jul 12, 2026

Wilson M

Maintainer

A couple of weeks ago, I upgraded the hotend on my Sovol SV08 to the MicroSwiss FlowTech, but the machine has essentially been gathering dust because I haven’t had a chance to run through the proper calibrations. Today, it’s time to get this printer rolling again.

I’m currently running the latest version of OrcaSlicer. While I’ve typically started my calibrations with Flow Ratio in the past, a deeper look at the official OrcaSlicer calibration guide recommends tackling the tests in the exact order they are listed in the menu. We are going to follow that outline, starting right at the top: the Temperature Tower.

Why the Temp Tower Matters

The OrcaSlicer wiki highlights that temperature calibration is arguably the single most critical factor for overall print quality. The nozzle temperature directly impacts the viscosity of your filament.

Too low: You risk under-extrusion, poor layer adhesion, and stringing.
Too high: You invite filament degradation, clogging, severe stringing, and sagging on your overhangs.

One great feature in OrcaSlicer is that the temp tower automatically scales its size to match your nozzle diameter, ensuring all the overhangs and bridging features are correctly proportioned for your setup.

Pre-Flight Slicer Settings

Before generating the tower for my Silk PLA, I set up an initial profile to follow standard parameters. I use percentages for my line widths so that if I swap nozzles later, the settings dynamically adjust.

I also made a few specific tweaks to the profile:

Switched the wall generator from Arachne to Classic (running inner-outer instead of inner-outer-inner).
Enabled Z-contouring.
Crucial Step: Navigated to the Others tab and set the Brim to Auto. Because the temp tower is tall and has a very small footprint, it desperately needs that brim to hold it securely to the build plate.

Interpreting the Results

I ran the standard PLA tower, which starts at the hottest temperature (230°C) at the bottom and steps down by 5 degrees every section until it reaches 190°C at the top.

If you are looking at your own tower and find a range that looks great (for example, between 195°C and 205°C), the general rule of thumb is to select the temperature right in the middle (200°C). However, if you plan on pushing high flow rates and faster printing speeds, leaning toward the higher end of that range will help maintain proper flow.

When evaluating my Silk PLA, the tower was honestly a bit brutal to look at. I inspected the overall layer adhesion, the severity of the stringing, and the sharpness of the corners. The sides varied, but looking closely at the overhangs and corner defects, the 205°C to 210°C range produced the cleanest results with the least stringing.

Final Profile Adjustments

I decided to settle on 210°C as my standard printing temperature for this filament. To ensure a solid foundation and better bed adhesion, I bumped my initial layer temperature up slightly to 215°C, and increased my heated bed to 60°C.

With the temperature dialed in, the SV08 is one step closer to being fully tuned. In the next post, we’ll move down the OrcaSlicer calibration menu and tackle the Max Volumetric Speed test.

If you have any questions or tips on your own SV08 tuning process, feel free to reach out!

OrcaSlicer 2.4 Beta: K2 Plus CFS Sync & Z-Contouring Deep Dive

Jun 14, 2026

Mike Wilson

Founder & Lead Engineer

Overview

Welcome back to the Minimal 3DP workbench. Today we are diving into the massive changes introduced in the OrcaSlicer 2.4 Beta release.

A quick personal note before we get to the technical data: I have not been posting as much lately due to struggles with anxiety and depression. I have gotten help and am doing much better. If you are struggling, please seek help; it benefits not only you, but everyone around you.

Now, let’s break down exactly what the 2.4 Beta brings to the table, where the current bugs lie, and how to optimize your hardware to take advantage of these new computational tools.

The Creality K2 Plus: CFS Filament Synchronization

One of the most highly anticipated features in this beta is direct network synchronization for the Creality K2 Series CFS, the Color Filament System. For farm operators and enthusiasts using the K2 Plus daily, this is a massive workflow improvement.

However, because this is an early beta, the implementation is not without friction. During my testing, the initial synchronization attempt failed to connect.

Diagnostic Fix: Bypassing the Port Error

If you experience a connection timeout when trying to sync your CFS to OrcaSlicer, try the following steps:

Navigate to the device connection settings.
Remove the specific port number from the end of your IP address string.
Alternatively, use the Browse function to allow OrcaSlicer to auto-detect the Creality printer on your local network.
If it still fails, restart OrcaSlicer. A fresh launch resolved the handshake issue in my environment.

⚠️ The Hardware Bridge: Unlocking the K2 Plus

Software synchronization is fantastic, but it cannot bypass a mechanical flow restriction. Early adopters of the K2 Plus are reporting significant reliability issues regarding the extruder mechanisms, the multi-color filament feeding systems, and frequent false-positive clog errors. To permanently resolve these design flaws and unlock the volumetric flow required for high-speed coreXY printing, I highly recommend upgrading your stock toolhead.

Upgrade to a High-Flow Hotend

Smoothing the Top Surface: Z-Contouring

Once your hotend is mechanically capable of laying down consistent plastic, you can leverage OrcaSlicer 2.4’s new Z-Contouring feature.

This setting directly addresses the stair-step effect that plagues curved or shallow-sloped 3D prints. During a recent community project printing fairy-themed mushroom caps, the standard slicing resulted in highly visible topological rings on the dome.

Enabling Z-Contouring essentially acts as anti-aliasing for your Z-axis. It dynamically alters the layer height and line width along shallow curves to mathematically smooth the transition between steps.

Real-World Testing Results

Printing the mushroom caps side-by-side, one stock and one with Z-Contouring enabled at a minimum Z-height of 0.05 and an angle threshold of 35 degrees, the difference is notable. While not injection-molded perfection, the stair-step effect is significantly less pronounced to the naked eye.

Beta Warnings and Known Bugs

If you are running a production print farm, do not deploy this beta to your primary slicing workstations yet. Always back up your profiles and settings before installing any alpha or beta releases.

During my Z-Contouring testing, I discovered a critical slicing bug:

The “Unexpected Number of Instances” Error: If you have Z-Contouring enabled and attempt to slice a build plate with multiple instances of an object, such as filling the bed with magic wands, the slicer will throw an error.
The Result: The slicing engine will freeze, and clicking the slice button will do nothing. You must disable Z-Contouring to successfully slice plates with high instance counts in this current build.

Klipper Configuration Optimization

If you have upgraded your hotend, remember that you must recalibrate your PID settings in your Klipper configuration. Add or update the following block in your printer.cfg via your central Klipper dashboard:

[extruder]
# Run PID_CALIBRATE HEATER=extruder TARGET=220 to generate exact values
# Example tuned parameters for high-flow hotends:
control = pid
pid_kp = 26.213
pid_ki = 1.304
pid_kd = 131.721

The important part is not the example values themselves; it is the process. Run the PID calibration command for your exact hotend, thermal mass, and target temperature, then save the generated values back to printer.cfg.

Wrap Up

OrcaSlicer 2.4 Beta is a big step forward for K2 Plus operators and anyone chasing cleaner curved surfaces. CFS network synchronization removes a real workflow pain point, and Z-Contouring gives us a new mathematical tool for fighting visible layer stair-stepping.

The catch is that this is still beta software. The CFS sync path still has handshake quirks, and Z-Contouring currently breaks multi-instance slicing. Pair the software upgrade with good hardware fundamentals, keep your Klipper config tuned, and treat this release like a lab tool rather than a production workhorse.

Stay minimal.

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From Text Prompt to Tangible Print: Using Tripo 3.0 to Commemorate Recovery

Dec 18, 2025

Mike Wilson

Founder & Lead Engineer

By Mike Wilson

As many of you know, this past October got a little personal for me. I underwent heart surgery, and I’ve spent the last few months focused on recovery. I’m finally reaching the point where I feel like myself again—I even started physical therapy this week.

To commemorate this journey and mark getting back on my feet, I wanted to create a project that felt significant: a realistic, 3D-printed human heart.

Usually, a project like this would involve hunting down a specific STL or spending hours sculpting in Blender. Instead, I used this as an opportunity to test a new AI tool: Tripo 3.0.

Note: A big thank you to Tripo 3.0 for sponsoring this project. As always, while they are supporting the channel, the opinions and testing results below are entirely my own.

What is Tripo 3.0?

Tripo 3.0 is an AI generation tool capable of creating 3D models from simple text prompts or reference images. The developers claim it offers the “cleanest, sharpest, and most detailed geometry” in the AI 3D space.

That is a bold claim. We are used to AI models requiring hours of mesh repair before they are printable. However, after using it for this project, I have to admit—the topology was shockingly clean.

The Workflow: Ideation to Slicer

For this project, I tested two different generation methods to see which produced the best “printable” result.

Method 1: Text-Only Prompt

I started with a simple command: “Create a model of a realistic human heart.”

Result: It generated a highly detailed, anatomically correct heart. However, it was just the organ itself—no base, no stand. Great for anatomy, harder to display.

Method 2: Text + Image Reference

Next, I uploaded a reference image from Wikipedia and combined it with the text prompt.

Result: This was the winner. The AI not only generated the heart but interpreted the context of the image to include a display stand.

The Verdict: Both models generated in about two minutes. The level of surface detail—specifically the veins popping out from the surface—was stunning. For a “set it and forget it” tool, the quality was surprisingly high.

From Cloud to Build Plate

Getting AI models out of the browser and into the physical world is usually where the headache starts. Here is exactly how I handled the files for anyone looking to replicate this workflow.

1. Exporting

Tripo offers OBJ, STL, and 3MF exports.

[!TIP] Pro Tip: Use the 3MF format.

Why? In my testing, the STL files exported at a very small scale, requiring manual resizing. The 3MF files imported into the slicer at a reasonable, printable size immediately.

2. Slicing (OrcaSlicer)

I brought the model into OrcaSlicer. Even though the geometry was clean, organic shapes always need support help.

Scale: For the version without the stand, I scaled it to 150%. For a massive heart, I tested scaling up to 300% (though that would have taken forever to print).
Supports: I utilized Slim Tree Supports (Organic).
Adhesion: I added an Outer Brim to ensure the small contact points on the bottom didn’t detach.

3. The Print

Printer: FDM Printer
Time: The stand version took roughly 1 hour 21 minutes. The larger, stand-less version took 4 hours 27 minutes.
Post-Processing: The supports snapped off cleanly. There was some minor scarring on the back of the stand-less model where it lay on the build plate (mostly due to my orientation choice, not the model geometry), but the display side was pristine.

Beyond Hobbyist Tools

While I used this for a personal commemorative piece, the toolset inside Tripo 3.0 is definitely aiming at the professional crowd.

Segmentation: I tested this on a robot model. The software automatically broke the single mesh into distinct parts (arms, legs, head), allowing you to edit or merge specific components.
Retopology: For those of you using Blender or ZBrush, the generated topology is workable, not the usual “soup of triangles” we see from photogrammetry or older AI tools.

Final Thoughts

I printed a realistic thyroid years ago for my wife after her surgery (she found it romantic, I promise), and this project felt like a similar closing of a chapter for me.

If you are looking to generate artistic models, figurines, or organic shapes without needing to master digital sculpting, this is the easiest workflow I have found to date.

Next Steps

If you want to try this out for your own projects, you can grab some extra credits and a discount on the pro plan using the links below.

Try Tripo 3.0: Click Here to Start Creating

Discount Code: Use code TRIPOCREW for a discount on the Professional subscription.

Happy printing, and thanks for following along with my recovery journey.