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Metrology and Quality News – Online Magazine

Month: May 2024

Flexxbotics Announces Latest Release for Multi-Factory Robot-Driven Manufacturing with Autonomous Process Control

Flexxbotics’ new release includes powerful multi-factory capabilities for large scale deployments along with enhanced functionality for in-line inspection, IT business system integration, analytics, and support for mobile tablets and smartphones. With this new version of the Flexxbotics solution global companies can implement advanced robotic machine tending that enables autonomous process control at scale across multiple sites to increase capacity, production yields, and EBITDA profitability.

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AI-Assisted Solution Inspects Implant Coatings Automatically

More than 400,000 hip and knee prostheses are manufactured in Aarau each year. A large proportion of these are coated in five state-of-the-art vacuum chambers at temperatures of up to 20,000 degrees Celsius, either purely with titanium or with titanium and hydroxyapatite. The latter is a bone substitute substance that improves or stimulates the ingrowth of the bone follicles into the porous prosthetic surface.

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Renishaw Invests In New Facilities In Brazil and India

As part of its commitment to servicing its growing customer base in South America, Renishaw has opened a new, sustainable facility in Sao Paulo, Brazil. The new multipurpose facility, formally opened in March 2024, features an industrial metrology showroom, areas that support additive manufacturing systems, events and conferencing facilities, and space for retrofitting and service activities.

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World Metrology Day 2024

20 May is World Metrology Day, commemorating the anniversary of the signing of the Metre Convention in Paris, in 1875. This treaty provides the basis for a worldwide coherent measurement system that underpins scientific discovery and innovation, industrial manufacturing and international trade, as well as the improvement of the quality of life and the protection of the global environment.

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Optimizing Battery Production With Inline CT Technology

If CT is integrated into the production process at an early stage, it can generally spot defects at a point when discarding rejects is less painful. Moreover, it can also be used to identify which production parameters have led to which quality defects – preventing rejects from occurring in the first place. This works by combining 3D scans of the batteries with neural networks that have been trained on the production parameter data using machine learning.

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Next-Generation Machine Vision Solution Boosts Inspection Accuracy and Reliability

Prior to implementing Elementary’s vision solution, Yamaha Motors relied on manual inspectors to verify the accuracy of warning labels placed on their ATV and ROV units, causing fatigue and high turnover among quality control personnel. Elementary helped automate the inspection process and improve traceability throughout the manufacturing process. The warning label inspection is critical for safety and is required to be in compliance with industry safety regulations.

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