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.
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.
The push for smaller, more complex device components has spiked the need for precise, non-damaging metrology, with 3D X-ray microscopy (XRM) leading the way. This technology offers high-resolution measurements critical for quality control in the electronics and manufacturing industries.
Coordinate measuring machines (CMMs) play a crucial role in verifying the dimensions of manufactured parts with precision control. CMM controllers are central to coordinating movements and processing data, driving technological advancements in the metrology industry.