Industries worldwide face escalating demands for product reliability and performance in advanced materials, from aerospace to medical devices. This drives a critical need for sophisticated, non-destructive testing methods that can probe beyond surface-level properties. Regulatory pressures for enhanced safety and sustainability, coupled with intense global competition, compel manufacturers to adopt innovative quality control solutions. This technology addresses these challenges by providing unprecedented insights into internal material characteristics, enabling proactive defect prevention and accelerating the development of next-generation materials.
Enables non-destructive measurement of internal material contact angles, identifying hidden quality issues early and improving product reliability.
Significantly enhances measurement accuracy by suppressing droplet evaporation in a sealed container, ensuring stable 3D measurement for unstable droplets.
Expands application range through diverse droplet application methods (mist spray, condensation), enabling use on various materials and shapes regardless of surface condition.
This patent establishes robust protection for a method of measuring contact angles, specifically covering non-destructive internal material analysis, droplet evaporation suppression in a sealed container, and diverse droplet application techniques. The claims are balanced, offering comprehensive coverage without being overly narrow or broad, and the patent has demonstrated strong novelty and inventiveness through rigorous examination.
This patent primarily covers the method for internal contact angle measurement. Licensees could develop additional IP in areas such as AI-driven predictive analytics based on the measurement data, novel material formulations optimized for internal wettability, or integrated inline quality control systems.
Example: For a product manufactured at 100,000 units annually, with a defect loss of $13.50/unit (AI est.), annual losses could reach $1.35M (AI est.). If this technology reduces internal defect rates by 10%, it could save $135K (AI est.) annually. Factoring in reduced rework from early detection, the total economic impact could exceed $170K (AI est.) per year.
X: Measurement Scope (Surface to Internal)
Y: Measurement Accuracy and Stability