DEV Community: Sergei Kashin

Modern LED Engines Are No Longer Just RGB

Sergei Kashin — Sat, 01 Aug 2026 15:06:47 +0000

Modern LED Engines Are No Longer Just RGB
Why the transition from RGB to RGBW, RGBWW, RGBALC, RGBACL and other architectures radically increased calibration complexity

For many years, RGB was the foundation of digital color control.

Three channels.

Red.

Green.

Blue.

By changing the intensity of each channel, engineers could create a wide range of colors with a relatively simple control model.

This approach worked well for many applications.

But professional lighting requirements continued to evolve.

Today, modern LED engines are no longer limited to RGB.

The evolution beyond RGB

Professional lighting systems now commonly use architectures such as:

RGBW
RGBWW
RGBA
RGBALC
RGBACL

The reason is simple:

RGB alone cannot solve every lighting challenge.

Additional emitters were introduced to improve:

white light quality;
color rendering;
skin tones;
daylight simulation;
camera compatibility;
spectral accuracy.

A dedicated white channel can produce more efficient white light.

A warm white channel can improve tungsten simulation.

Amber, lime, cyan, and other emitters can fill spectral gaps that RGB cannot reproduce efficiently.

The result is a much more powerful lighting engine.

But this power comes with a new engineering challenge.

Modern multi-channel LED packages contain several independently controlled emitters. Each additional channel increases creative possibilities but also increases calibration complexity

More channels create more variables

A common assumption is:

"If RGB has three channels, then RGBALC is just twice as complicated."

In reality, it is much more complex.

Each channel interacts with the others.

Changing one value does not only affect one parameter.

Increasing amber may improve a certain spectral region but shift the overall color balance.

Increasing lime may improve efficiency but affect Duv.

Changing cyan may improve spectral continuity but require compensation from other channels.

The final output is created by the interaction of all channels together.

The engineer is no longer adjusting colors.

The engineer is optimizing a multi-dimensional system.

The problem is not producing light

Modern LED engines are extremely capable.

The challenge is producing predictable results.

Two fixtures with identical channel values may not produce exactly the same spectrum.

Differences can come from:

LED bin variation;
thermal conditions;
optical design;
driver behavior;
component tolerances.

This means calibration is not simply finding one combination of values.

It is finding a reliable method to achieve the desired result repeatedly.

Modern LED calibration requires measurement and verification because visual adjustment alone cannot accurately evaluate complex spectral interactions

Why manual adjustment becomes difficult

With a simple RGB system, an experienced engineer can often reach a good result manually.

But as the number of channels increases, the number of possible combinations grows rapidly.

Every additional channel adds another dimension to the optimization problem.

The engineer must consider:

Which channel should be adjusted?
How much should it change?
Did the previous adjustment improve the result?
Is the improvement stable after thermal changes?
Is another combination potentially better?

After enough iterations, manual tuning becomes less about engineering decisions and more about searching through possibilities.

Modern lighting requires a different approach

The evolution from RGB to advanced multi-channel LED systems created incredible opportunities.

However, these systems require more advanced calibration methods.

The future of LED calibration is not about manually finding one good combination.

It is about creating systems that can analyze, measure, and optimize complex lighting engines.

Engineers should define the goals:

desired spectrum;
application requirements;
acceptable limits.

The system should help navigate the enormous number of possible solutions.

Conclusion

RGB changed how we control light.

Multi-channel LED engines changed what is possible.

But every additional channel increases the complexity of achieving predictable, repeatable results.

The challenge of modern LED engineering is no longer only creating more colors.

It is controlling the complexity behind them.

Engineering work by Sergei Kashin focused on high-power LED systems, optical engineering, thermal management, and automated LED calibration.

Project website: https://ledchip.pro/
Project Instagram: https://lnkd.in/gwwPBieE
Personal Instagram: https://lnkd.in/gUpA3xHm

Why Manual Calibration Has Reached Its Practical Limit

Sergei Kashin — Sat, 01 Aug 2026 14:18:24 +0000

Modern multi-channel LED systems have become too complex for manual calibration to scale

For a long time, LED calibration was a relatively simple process.

Adjust the channels.

Measure the result.

Make corrections.

Repeat.

With traditional RGB systems, this approach was often enough. Three channels provided a manageable number of variables, and an experienced engineer could manually reach an acceptable result.

Modern multi-channel LED packages contain multiple independently controlled emitters. Each additional channel increases the possibilities, but also increases calibration complexity.

But modern LED systems have changed.

Today, professional lighting engines can include RGBW, RGBWW, RGBA, RGBALC, RGBACL, and many other multi-channel architectures.

These systems provide much greater control over light.

They can improve:

color rendering;
white light quality;
spectral accuracy;
camera compatibility;
tunable color temperature range.

However, every additional channel also increases the complexity of calibration.

The problem is not creating light

Modern LEDs can produce impressive results.

The problem is controlling them consistently.

A six-channel LED engine is not simply an RGB system with three extra sliders.

Every channel affects the final output.

Increasing one channel can change:

spectral distribution;
color temperature;
Duv;
efficiency;
output level;
thermal behavior.

A professional calibration process requires repeated measurement and comparison. As the number of variables increases, manual optimization becomes increasingly difficult

A correction in one area can create a new problem somewhere else.

The engineer is no longer adjusting colors.

The engineer is managing a complex system with many interacting variables.

Why manual calibration stops scaling

Human engineers are excellent at understanding systems.

We can decide:

what the target should be;
which parameters are important;
what compromises are acceptable;
how the final product should behave.

But humans are not good at performing thousands of repetitive measurements and comparisons.

At some point, the process changes.

It stops being engineering.

It becomes manual optimization.

An engineer may spend hours:

changing channel values;
measuring the spectrum;
recording results;
comparing previous attempts;
repeating the same workflow.

The problem is not that the engineer cannot do it.

The problem is that the process does not scale.

The hidden complexity of modern LED engines

A modern LED fixture is influenced by many variables:

LED bin variation;
operating temperature;
current stability;
optical design;
thermal management;
driver characteristics.

The same channel values can produce different results under different conditions.

A calibration that works perfectly during one measurement may not represent the real operating state of the fixture.

This means professional calibration is no longer just finding the right numbers.

It is creating a repeatable process that can produce the same result again.

Engineers should design systems, not repeat measurements

This is where automation becomes important.

The goal of automation is not to replace engineering decisions.

The engineer should still define:

the target spectrum;
acceptable limits;
optimization priorities;
measurement methods.

The repetitive search process is where software can provide value.

Computers are not better engineers.

They are better at performing thousands of similar operations without fatigue.

The future of LED calibration

As LED technology continues to evolve, calibration will become increasingly complex.

More channels.

Higher precision.

More demanding applications.

The industry needs tools that allow engineers to focus on innovation instead of spending most of their time repeating measurements.

The challenge is no longer:

"Can we create the desired spectrum?"

The challenge is:

"Can we create a reliable and repeatable method to achieve it every time?"

Engineering work by Sergei Kashin focused on high-power LED systems, optical engineering, thermal management, and automated LED calibration.

Project website: https://ledchip.pro/
Project Instagram: https://lnkd.in/gwwPBieE
Personal Instagram: https://lnkd.in/gUpA3xHm

Precision Lighting: Working With Secondary Optics in High-Power LED Systems

Sergei Kashin — Sat, 23 May 2026 15:43:30 +0000

When I first started experimenting with high-power LED panels, I assumed increasing wattage would automatically improve lighting performance.

In practice, that turned out to be only part of the equation.

Once power levels increased, beam control became just as important as electrical power itself.

That’s where secondary optics completely changed the behavior of the system.

Moving Beyond Standard LED Panels

Most standard LED panels behave like broad flood lights.

That works for general illumination, but once you need higher intensity, better directionality, or longer throw distances, the limitations become obvious.

Instead of endlessly increasing wattage, I started experimenting with dense optical arrays.

One 500W configuration used:

576 secondary optics
16° beam angle
D7 × H6.2 mm PC lenses

A separate 250W panel used:

288 optics
20° beam angle
PMMA optics with PC holders
XPE / 3030 LED layout

Even relatively small optical changes produced major differences in usable output.

250W LED panel using 288 secondary optics.

Beam Concentration Changes Everything

Once the optics were installed, the beam became dramatically tighter compared to a standard LED panel.

The difference was immediately visible.

Instead of uncontrolled flood illumination, the panel produced much more concentrated and directional light.

This became especially useful for applications requiring higher intensity at distance.

Testing beam concentration on the completed optical configuration.

Unexpected Thermal Challenges

One thing I did not fully expect at first was how much optics affected thermal behavior.

As light concentration increased, thermal density increased as well.

That introduced additional engineering problems:

PCB temperature distribution
airflow optimization
lens material stability
mechanical expansion and alignment

At higher power levels, optics stopped being just a lighting accessory and became part of the thermal system itself.

Mechanical Alignment Matters

Installing hundreds of optics also created alignment challenges.

With dense lens arrays, even small positioning inconsistencies affected beam uniformity.

Mechanical precision became extremely important.

This was especially noticeable on larger arrays using hundreds of lenses across the entire panel surface.

Large secondary optics array prepared for final integration.

Comparing Standard vs Optical Configurations

One of the most useful comparisons was testing a standard LED panel against the same panel equipped with optics.

The difference was not only brightness perception, but also:

beam directionality
usable intensity
spill reduction
overall lighting efficiency

This reinforced an important lesson:

Better optical control often produces larger practical improvements than simply adding more watts.

Comparison between a standard LED panel and the same panel using secondary optics.

Final Thoughts

Working with secondary optics completely changed how I approach high-power lighting design.

Optics, thermal management, airflow, and mechanical integration all became interconnected parts of the same engineering problem.

And once power density increases, even small optical decisions begin influencing the architecture of the entire system.

Manufacturing Custom Radiators From Scratch: A Practical Case

Sergei Kashin — Mon, 11 May 2026 14:40:33 +0000

When working with high-power LED systems, I eventually reached a point where standard radiators were no longer enough.

Not because they were too small — but because they were designed for completely different operating conditions.

The thermal density, airflow behavior, and mounting requirements of the system demanded something more specialized.

That’s when I decided to start designing custom radiators from scratch.

Starting With Constraints

The process did not begin with drawing fins or choosing dimensions.

It started with understanding the actual constraints:

thermal load
contact area with the LED module
airflow conditions
mounting geometry
acceptable temperature rise

Only after defining those limits did the radiator geometry begin to make sense.

Early CAD model used to evaluate airflow and heat spreading geometry.

Why Standard Radiators Stopped Working

At lower power levels, off-the-shelf radiators worked reasonably well.

As power density increased, several problems appeared:

uneven heat distribution
airflow dead zones
sensitivity to mounting pressure
localized hot spots

Adding more aluminum alone was no longer enough.

The thermal path itself became the main engineering problem.

Iterating the Design

The radiator went through multiple redesigns before reaching a stable configuration.

Small changes made a surprisingly large difference:

fin spacing
fin height
base thickness
airflow channels
mounting structure

Some designs looked excellent in CAD but behaved differently once tested under continuous load.

Later CAD revision with improved airflow and mounting geometry.

Moving Into Manufacturing

Once the geometry was finalized, the next challenge was production.

This introduced a completely different set of limitations:

machining tolerances
surface flatness
assembly repeatability
material consistency

At this stage, the project became more than thermal engineering — it also became a manufacturing problem.

Custom-machined aluminum radiator before final assembly.

Real-World Testing

After assembly, the radiator was tested under sustained thermal load.

This revealed several important things:

airflow rarely behaves exactly as expected
mounting pressure significantly affects interface performance
thermal stability matters more than peak temperature alone

At higher power density, even small imperfections become noticeable.

Completed radiator integrated into a high-power LED cooling system.

Final Thoughts

One of the biggest lessons from this process was that radiator design is not just about surface area or material choice.

It’s about managing the entire thermal system:

heat transfer
airflow
mechanical rigidity
interface consistency

And once power density reaches a certain level, custom thermal solutions become less of an optimization — and more of a necessity.

Why Datasheets Fail at Extreme LED Power Levels

Sergei Kashin — Fri, 13 Mar 2026 15:05:41 +0000

Datasheets are extremely useful when designing electronic systems.

They provide essential information: current limits, thermal resistance values, efficiency curves, and recommended operating temperatures.

But once LEDs are pushed into very high power ranges, something interesting starts to happen.

Real-world behavior begins to diverge from the clean theoretical assumptions shown in the datasheet.

The Problem With Extreme Power Density

High-power LEDs concentrate a large amount of heat into a very small semiconductor area.

In theory, if the thermal resistance values in the datasheet are followed carefully, it should be possible to estimate junction temperature and design an appropriate cooling system.

In practice, however, things rarely behave that predictably.

Example of a high-power COB LED used during thermal experiments.

What Actually Starts Affecting Temperature

During testing of high-power LED systems, several practical factors turned out to have a larger impact than expected:
mounting pressure between the LED and the cooling plate
surface flatness of the contact surfaces
thickness and distribution of thermal interface materials
copper spreading layers
airflow behavior across the radiator

Many of these factors are either simplified or not fully represented in datasheet thermal models.
The Interface Is Often the Real Bottleneck
One of the biggest surprises when working with high-power LEDs is how sensitive the system becomes to the thermal interface between components.
Even when the heatsink itself is sufficiently large, a small change in contact quality between surfaces can significantly increase thermal resistance.
At high power density levels, this difference can quickly translate into increased junction temperatures.

Copper interface plate used to improve heat spreading from the LED module.

Airflow Rarely Behaves as Expected

Another important lesson came from airflow behavior.

Initial cooling designs often assume predictable air movement through a radiator. In reality, air tends to follow the path of least resistance, which can leave some areas of the cooling structure under-cooled.

This means fan placement, radiator geometry, and airflow channels become critical design parameters.

Large radiator assembly used for cooling high-power LED systems.

Testing Becomes Essential

At extreme power levels, thermal design becomes less about theoretical calculations and more about experimental validation.

Different mounting methods, materials, and airflow configurations can produce noticeably different thermal results.

Because of this, repeated testing and iterative design often become the most reliable way to reach stable operating conditions.

Example of a completed high-power LED module after thermal optimization.

Final Thoughts

Datasheets remain a critical starting point for engineering.

However, when systems begin operating close to their thermal limits, real-world factors start to dominate system behavior.

Understanding the interaction between materials, interfaces, and airflow becomes just as important as the electrical specifications themselves.

From First Prototype to Production-Ready Hardware

Sergei Kashin — Sun, 08 Mar 2026 12:06:50 +0000

Building hardware rarely happens in a single step.

Most projects start with a rough idea, a quick prototype, and a lot of assumptions about how the system will behave. Only after testing those assumptions does the real engineering begin.

In my case, the first prototype was simple — just a proof of concept to see whether the thermal and mechanical ideas actually worked.

It did… but only partially.

The First Prototype

Early prototypes are usually about answering one question:

Does the concept work at all?

At this stage perfection is not the goal. What matters is learning how the system behaves under real conditions.

Things that looked good in CAD sometimes behaved differently in practice:

heat distribution across the structure

mounting pressure between components

airflow patterns that didn’t match expectations

Even small changes in geometry could affect thermal stability.

Early prototype used to validate thermal and mechanical assumptions.

Discovering the Real Constraints

Once the prototype runs, the next step is understanding its limits.
In hardware projects the main constraints often become clear only during testing:

thermal bottlenecks
mechanical tolerances
material behavior under load
airflow efficiency

These details rarely show up during the initial design phase.
For high-power LED systems, thermal management quickly becomes the dominant factor. The challenge is no longer just electrical — it becomes mechanical and thermal at the same time.

_Second iteration with improved heat transfer and mounting structure.
_

Iteration Is the Real Process

Moving from a working prototype to production-ready hardware requires multiple iterations.

Each version solves a specific problem discovered in the previous one:

improving heat transfer paths
increasing structural rigidity
refining mounting geometry
simplifying manufacturing steps

At this stage the goal shifts from “making it work” to making it reliable and repeatable.

Preparing for Production

A prototype can tolerate imperfections.
Production hardware cannot.
Small variations in manufacturing — surface flatness, mounting pressure, or material tolerances — can significantly affect performance in high-power systems.
This is why production-ready hardware often requires:

tighter mechanical control
more predictable thermal paths
simplified assembly steps

Only after solving these details does the design become ready for consistent manufacturing.

Final hardware version designed for stable operation and repeatable assembly.

Final Thoughts

One of the biggest lessons in hardware development is that the first prototype is only the beginning.

Real engineering happens during iteration.

Every version teaches something new about the system — and slowly transforms an experimental idea into reliable hardware.

Project website: https://ledchip.pro/
Project Instagram: https://lnkd.in/gwwPBieE
Personal Instagram: https://lnkd.in/gUpA3xHm

Designing Hardware When No Off-the-Shelf Solution Exists

Sergei Kashin — Thu, 12 Feb 2026 16:56:00 +0000

Most hardware projects start with a search.

You look for an existing module.
A reference board.
A cooling solution.
A ready-made driver.

And sometimes you find one.

But sometimes — you don’t.

That’s where real engineering begins.

The Moment You Realize Nothing Fits

In my case, it started with high-power LED systems.

At moderate power levels, the market offers plenty of solutions:

finished luminaires

integrated LED modules

standardized cooling assemblies

But when you move into extreme power densities, especially outside commercial product formats, options disappear quickly.

The problem isn’t that components don’t exist.
The problem is that they’re designed for someone else’s constraints.

Different form factor.
Different airflow assumptions.
Different duty cycle.
Different mechanical limits.

So the question shifts from:

“Which product should I buy?”

“What does the system actually require?”

You Stop Thinking in Products — You Start Thinking in Constraints

When no off-the-shelf solution exists, you stop browsing catalogs and start mapping physics.

For hardware, that usually means:

Thermal path analysis

Mechanical tolerance stacking

Material selection trade-offs

Long-term degradation behavior

Serviceability and modularity

In high-power LED systems, for example, scaling from a 250W prototype to multi-kilowatt assemblies doesn’t mean “just add more heatsink.”

Heat density changes.
Interface sensitivity increases.
Mechanical rigidity starts affecting thermal resistance.

At some point, small imperfections matter more than total radiator mass.

That’s when you realize you’re not designing a part — you’re designing a system.

Iteration Becomes the Only Real Tool

Without a ready solution, the process becomes iterative by necessity:

Model assumptions

Build prototype

Measure real behavior

Identify non-obvious bottlenecks

Redesign

What surprised me most wasn’t electrical instability — it was how strongly non-electrical factors influenced performance:

mounting pressure distribution

flatness tolerances

airflow geometry vs assumed airflow

interface material aging

Everything was “within spec,” yet long-term thermal behavior still shifted.

That’s where hardware engineering becomes humbling.

The Hidden Cost of Custom Hardware

Designing from scratch isn’t just technical.

It affects:

manufacturing strategy

supply chain fragmentation

production tolerances

service complexity

When you can’t buy a solution, you also can’t outsource responsibility.
You own every thermal interface, every screw torque, every design decision.

That’s heavy — but also powerful.

When Building From Zero Makes Sense

You design custom hardware when:

performance targets exceed standard products

modularity matters more than integration

long-term reliability is critical

cost-performance tradeoffs are misaligned with the market

It’s slower.
It’s riskier.
But it’s also how unconventional systems get built.

Final Thought

Off-the-shelf products optimize for the average use case.

Engineering from scratch optimizes for the exact one.

And sometimes, that’s the only way forward.

Engineering high-wattage LED cooling outside closed products

Sergei Kashin — Sat, 07 Feb 2026 13:02:47 +0000

This short note reflects practical observations from independent hardware development.

High-wattage LED cooling solutions are widely available — but mostly as integrated, finished products.

At high power levels, cooling systems are often:

tightly coupled to specific devices

not accessible as modular components

difficult to adapt for research or custom formats

For independent engineering, this creates a different kind of limitation.

The issue is not whether cooling works —
it is whether it can be studied, modified, and iterated.

Once thermal design moves outside closed products, engineering freedom becomes possible again.

Caption: Independent thermal engineering beyond closed commercial designs.