The L.S. Starrett Co., a leading global manufacturer of precision measuring tools and gages, metrology systems and more, invites IMTS attendees to be among the very first to try the all-new, innovative Starrett W4900 Touch Screen Indicator, which is debuting at the show. Starrett will be located in Booth #134130 in the Quality Assurance Pavilion, East Hall in McCormick Place, Chicago IL from Sept 9-14, 2024.
The Starrett W4900 Indicator is a unique touch screen wireless digital indicator that is highly accurate, fast, intuitive, easy-to-use and rugged. Key features include multiple resolution and color settings, digital and analog readouts in the same indicator, seven languages, wireless output and many other unique features. The W4900 Indicator is American made with U.S.A. and globally sourced materials and components.
Two W4900 Indicators will be available for attendees to use firsthand and experience the simple navigation. Also, a bank of W4900 Indicators shown in a variety of configurations will be continuously taking measurements of a rotating crankshaft. Supporting Industry 4.0, IoT and the Digital Factory, all of the W4900 Indicators will be integrated with the Starrett DataSure® 4.0 Wireless Data Collection System for automated wireless measurement data capture and transmission. Attendees can collect and transmit measurement data instantly for analysis to Starrett associates in the booth who will be running the DataSure mobile application, and be available to review the results and discuss any specific application requirements and questions.
Related Glossary Terms
- metrology
metrology
Science of measurement; the principles on which precision machining, quality control and inspection are based. See precision machining, measurement.
- quality assurance ( quality control)
quality assurance ( quality control)
Terms denoting a formal program for monitoring product quality. The denotations are the same, but QC typically connotes a more traditional postmachining inspection system, while QA implies a more comprehensive approach, with emphasis on “total quality,” broad quality principles, statistical process control and other statistical methods.
