Iterative Design – What is it in Vaping?
Iterative Design in Vaping: A Comprehensive Glossary Entry
Definition
Iterative design is the continuous cycle of prototyping, testing, and refining a vaping device or e-liquid to reach optimal performance and user satisfaction. Unlike one-off manufacturing, this process treats every version—from the first IGET concept to the final Battery“>integrated battery model—as a learning opportunity. Each iteration adjusts airflow, CoilResistance“>coil resistance, or flavour balance based on real-world feedback, ensuring that the end product matches Australian vapers’ preferences for inhale style, battery life, and safety.
Technical Details
Iterative design is driven by data. Engineers start with CAD models and 3-D-printed shells, then fit them with internal batteries of 550–1 000 mAh and insulators rated to 120 °C. Temperature curves and coil resistance are logged while users vape at 10 W, 20 W, and 30 W. Results are compared against targets (±0.05 Ω variance, ≤5 °C rise) and fed back into the next loop. Common variations include:
- “Alpha” loops—rapid weekly tweaks for draw-activated pods.
- “Beta” loops—month-long tests focusing on puff count and internal battery longevity.
- “Gamma” loops—final QC checks before mass production of integrated battery devices.
Usage & Tips
If you buy an iteratively designed device, expect firmware or coil updates; install them promptly to maintain safety standards like over-current protection. To spot a refined model, look for version numbers on the packaging (e.g., “V3.2”) or silicone insulators that feel firmer—an upgrade for heat resistance. Common issue: early batches may hiss on tight mouth-to-lung draws. Fix: swap to the revised 0.8 Ω coil released after user feedback.
History & Context
Iterative design took off in Australia around 2018 when brands such as IGET began crowd-sourcing flavour profiles via social media polls. The approach shaved six months off traditional R&D cycles and became the industry norm for internal battery disposables and pod systems.