The accurate measurement of individual components, including entire installations; generates the basis for the reliable inspection and repair of large fans. The faster and easier the measurement phase is to complete, the lower the overall downtown and costs for the operator. Contactless analyses are ideal for minimizing stoppages and processing times without losing quality.
This is why the service team for the fan manufacturer, TLT-Turbo Gmbh has been using a MetraScan 3D for third-party machine parts since June 2018. The portable unit allows them to measure assemblies with a circumference of up to 17m³, with an accuracy of about 0.064mm.
“We used to perform our analyses in a traditional way – using hand-held measuring devices or laser range finders – and more detailed results were generated in external test chambers,” explains Leif Heidingsfelder, Product Specialist at TLT-Turbo GmbH. “This not only took a long time, but also incurred additional costs – partly due to loss of communication with the various service providers.”
However, a new solution had to meet TLT-Turbo’s stringent accuracy and reliability standards. It also required more functions for integration into existing processes.“With this new, cutting-edge scanner, measured values are now available within a very short time and can be generated at any location,” says a satisfied Heidingsfelder.
The device is compatible with all standard software solutions for reverse engineering, allowing CAD models to be created with no extra effort simply based on the raw data collected. This allows for both continuous quality control during on-going production and the manufacture of spare parts for third-party fans. Accelerating the process but keeping consistent quality. TLT-Turbo is able to reduce the overall downtime and costs for the customer. At the same time, the service team is much less dependent on location, appropriate action can be taken quickly.
“Modern technology offers fascinating opportunities – nevertheless, the relevance of expertise and practical experience should not be underestimated,” concludes Heidingsfelder. “A well-trained, mobile workforce continues to be essential for successful measurement.”