| How We Work
How We Keep COB LED Strip Quality Stable: Turning “Uncontrollable” into “Verifiable”
COB LED strips are known for continuous, dot-free illumination. But the same continuous emitting surface can amplify any fluctuation into visible issues—tinted sections, brightness banding, bubbles, yellowing, dead pixels, or end-to-end non-uniformity. Our approach is to make quality defined, measurable, traceable, and acceptable by objective criteria.
1) Define “Stability” First: What Customers Actually Accept
“Stable quality” is not “it lights up at shipment.” It means stability can be verified across clear acceptance dimensions.
Stability = within-one-reel consistency + between-batch consistency + long-term reliability.
A. Within-One-Reel Stability
No tinted sections, no brightness “jumps,” and a clean emitting surface (no bubbles/pitting/streaks).
B. Between-Batch Stability
Reorders remain in the same visual CCT zone; SDCM/CRI/R9 do not drift into mismatch.
C. Long-Term Stability
Lower risk of dead pixels after bending/vibration; controlled yellowing and lumen depreciation.
Why it matters
Engineering projects fail on inconsistency—not on “spec sheets.” Stability reduces rework and on-site risk.
2) The 4 Key Variables That Determine Stability
COB has many steps, but outcomes are largely decided by four variables. Our system is built to control these with measurable evidence.
Variable 1: Electrical Consistency
Controls voltage drop behavior, brightness uniformity, and power consistency. Driven by FPCB trace resistance and connection resistance.
Variable 2: Thermal Consistency
Controls yellowing risk and lumen depreciation. Driven by die-attach thermal path, power density, and encapsulation thickness/material system.
Variable 3: Spectral Consistency
Controls CCT, CRI, R9, and SDCM. Driven by chip binning, phosphor batch control, and disciplined mixing/coating processes.
Variable 4: Mechanical Reliability
Controls dead-pixel risk after bending/vibration. Driven by wire-bond strength, FPCB flex durability, and stress/assembly management.
Any quality issue can be mapped back to one variable. If it can be traced, it can be corrected—if it can be corrected, it can be stabilized.
3) Turning Variables into Process Control: Critical Points + Evidence
We do not “add steps.” We control what truly drives outcomes: critical control points plus verifiable evidence.
FPCB Incoming Control & Electrical Test (Build the Electrical Foundation)
FPCB = Flexible Printed Circuit Board (electrical + thermal carrier).
- Trace resistance consistency: smaller variation = better brightness uniformity.
- Continuity/short test: removes hidden opens/shorts and micro-defects.
- Narrow / high-power designs: require tighter controls to avoid visible voltage-drop effects.
Evidence: incoming electrical test records + BOM-locked copper/circuit specs.
Die Attach (Stabilize the Thermal Path)
Die = bare LED chip. Die attach creates the primary thermal/electrical path.
- Consistent adhesive volume: too little increases thermal resistance; too much can overflow and contaminate pads.
- Consistent curing profile: time/temperature drift becomes batch reliability drift.
- Placement accuracy: misalignment impacts bonding, emission uniformity, and local heat.
Evidence: standardized parameters + first-article and in-process inspection records.
Wire Bonding (Decide Whether It Dies After Bending)
Wire bonding connects die electrodes to FPCB pads using gold/copper wire.
- Bond pull strength: weak pull strength increases break risk under vibration/bending.
- Loop height control: too high breaks easily; too low risks shorts.
- Bond quality: poor bonds lead to heating, unstable contact, and shorter life.
Evidence: pull-test sampling + defined process windows (thresholds and criteria).
Phosphor Silicone Encapsulation (Prevent Tinted Sections & Surface Defects)
Phosphor converts blue light into white/warm white. Silicone forms the continuous emitting layer. SDCM indicates color tolerance (common targets: ≤3 or ≤5).
- Fixed phosphor-to-silicone ratio: prevents CCT/CRI drift.
- Dispersion & sedimentation control: phosphor settling is a key cause of tinted sections.
- Vacuum degassing: reduces bubbles and micro-voids.
- Uniform coating thickness: prevents banding, color points, and local heat accumulation.
Evidence: batch + pot-life control, degassing logs, visual standards, and correlated CCT/SDCM/CRI data.
Electrical/Optical Testing + Aging (Keep Risks in the Factory)
Aging is continuous lighting to screen early failures.
- Electrical consistency: V / I / power (W/m) stability.
- Voltage drop & end-to-end difference: within-reel uniformity verification.
- Optical stability: CCT, SDCM, CRI (and R9 if needed).
- Aging screening: reveals weak connections, bonding issues, or silicone defects early.
Evidence: test logs (electrical + optical) and aging logs (time, load, failure rate).
4) Our Method: Not “Sort the Good Ones,” but “Closed-Loop Stability”
Sorting at final inspection cannot guarantee the next batch and pushes risk into customer installations. Our approach is a closed-loop system.
- ✓Input Lock: FPCB, chip bins, phosphor, and silicone systems are fully traceable.
- ✓Process Window: die attach, bonding, mixing, degassing, and coating thickness are standardized.
- ✓CTQ Data: stability is defined by measurable metrics, not subjective judgement.
- ✓CAPA: any tinted section, bubble, or dead pixel is traced back to one variable and corrected.
If a problem can be traced, it can be fixed. If it can be fixed, it can be made stable.
5) What Customers Ultimately Get
- ✓More consistent reels: fewer tinted sections, less banding, cleaner surfaces.
- ✓More predictable reorders: controlled CCT/SDCM/CRI for easier project matching.
- ✓Higher reliability: lower risk of dead pixels after bending/transport, better long-term stability.
- ✓Data-backed confidence: not “trust us,” but “verify with records.”
Conclusion
The real competitive edge in COB is not “we can make it,” but “we can make every batch the same.” By defining acceptance clearly, controlling the four key variables, and closing the loop with measurable data, we turn “uncontrollable” into “verifiable.”