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.
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.
In modern manufacturing, it's crucial to validate parts immediately after manufacturing or assembly and detect defects before further processing. Automation in manufacturing has outpaced inspection processes, creating a challenge and opportunity for the metrology industry.
Statistical Process Control (SPC) is evolving to not just detect defects, but also to predict and prevent issues. Modern factories use more sensors and collect more data, allowing SPC to analyze real-time patterns and forecast potential issues.
Traditional manufacturing often results in waste of materials and energy due to imprecise measurements. 3D measurement technology enables precise measurement, early issue detection, and process adjustments, reducing waste and costs.