We recently worked with MD+DI on an article covering a common challenge in medical tubing extrusion: understanding what's happening beyond OD measurements alone. The article explores why wall thickness and concentricity are often just as important to product quality as OD, and why relying solely on OD can hide critical process variation.

The July/August issue of Wire & Cable Technology International is now available. Sponsored by LaserLinc, this edition also features our technical article exploring how in-process ultrasonic measurement and insulation layer visualization help THHN manufacturers improve yield, reduce material waste, and maintain product quality through real-time process intelligence.

Surface defect detection in cable manufacturing is changing. As AI infrastructure expands, fiber and power cable producers are being pushed to increase throughput while meeting tighter quality standards. Many operations still rely on manual inspection or 2D vision systems that infer defects rather than measure them. Our latest technical white paper examines why those methods struggle to scale and what continuous, full-surface inspection actually requires in high-volume production. It explores how contour-based 3D inspection using laser-line triangulation enables true 100 percent surface coverage, real-time defect intelligence, and earlier detection that prevents costly scrap and downstream failures.

The new Bump and taper solution from LaserLinc provides in-process measurement of complex extrusions using a unique virtual ring gauge, which identifies and measures feature transitions and feature lengths during manufacturing, allowing operators to quickly dial in production.

Designed as an accessory for LaserLinc’s UltraGauge™ ultrasonic systems, the AutoPilot system automatically positions the transducer assembly to align with the product, ensuring optimal signal strength and consistent measurements.

The next-generation FlawSense II system from LaserLinc addresses uses laser-line triangulation to generate a true 100% surface map of the product in process.