Comprehensive device integrates advanced communication protocols and edge computing for enhanced productivity and security, ensuring safe data export from machines to factory networks.
Quality assurance (QA) meets artificial intelligence (AI). How can they coexist safely? Integrating AI into QA brings opportunities and risks, especially in safety-critical environments. Balancing rigorous standards and human oversight is crucial.
As industries increasingly adopt the principles of Industry 4.0, the need for reliable, real-time communication between sensors, actuators, and control systems becomes crucial.
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.
At Technical University of Applied Sciences Würzburg-Schweinfurt (THWS), Professor Christian Zirkelbach is teaching robotics and machine vision at Faculty of Applied Natural Sciences and Humanities.
As an accreditation assessor, I can say that many common assessment deficiencies could have been prevented if the calibration certificate had been thoroughly reviewed.
This article is an adaptation of my popular presentation, “Beyond the Sticker & the Cert (Ensuring Better Measurements & Reducing Risk).” Product manufacturers, testing labs, and calibration labs often overlook the importance of thoroughly reviewing calibration certificates, leading to potential measurement inaccuracies and increased risks.