As the world moves toward LED adoption, brands, manufacturers, and suppliers need to carefully evaluate how this shift will impact their products, particularly regarding color.
The transition to LED lighting impacts color perception and quality control, requiring manufacturers to adapt their processes to ensure consistency and address issues like flare and metamerism under different lighting conditions.
Probes and styli are vital for smart manufacturing, evolving into advanced sensors that enhance automation and quality control. These precise tools measure parts, guide machines, and enable real-time adjustments, improving efficiency and reducing defects in CNC and robotic applications.
Effective AI deployment requires addressing challenges related to continuous learning, adaptation, and the robust management of vast, real-time data streams—areas where DMAIC falls short.
This article explores the evolution of manufacturing data, the limitations of DMAIC in the Fourth Industrial Revolution, and introduces Binary Classification of Quality (BCoQ) and Learning Quality Control (LQC) systems as part of Quality 4.0.
Dustin Smith, metrology and software training lead at Assurance Technologies Inc., addresses common questions from his GD&T course. He emphasizes the need for everyone—from sales to engineering, production, and quality—to have a basic understanding of GD&T.
As smart factories have grown to embrace more advanced technologies such as AI, machine learning, and smart sensors, they’ve also evolved to include more developed forms of metrology.
These advancements made our factories smarter by enabling systems to communicate with each other, share live data, and make decisions without human intervention.
As emerging technologies like AI and robotics capture attention, foundational engineering principles remain crucial. Essential for innovation, these include material science and control theory. ASME’s Y14.5 Standard on geometric dimensioning and tolerancing (GD&T) is key for advanced manufacturing.
Digital connectivity is a driving feature of our lives. While invaluable in our personal lives, it also has the potential to transform manufacturing processes. In many cases, this has already taken root. But in one area – 3D measurement activities – it has so far not been used to the fullest.
The use of advanced 3D scanning tools is revolutionizing quality control, design, and manufacturing, particularly with the adoption of digital standards and 3D printing. However, this shift presents challenges in maintaining consistent standards globally and across different regulations.