Increased capacity and approved accuracy for belt scale system

The MSI and MMI, combined with a Milltronics BW500 Integrator and a speed sensor, now have OIML (International Organization of Legal Metrology) and MID ((Measuring Instruments Directive). These approvals guarantee the MSI and MMI belt scales meet strict requirements for weights and measures applications in accuracy and repeatability.

The Milltronics MSI, a heavy-duty single idler belt scale, is used for rugged applications in process and load-out control. MSI provides instant response to belt loading and overload protection to 300 per cent. The MSI measures only the vertical load applied through the belt and the supporting suspended idler, and is so structurally sound that it can be applied to the most demanding applications. Drop-in installation makes alignment easy and economical.

The Milltronics MMI is a heavy-duty, high accuracy multi-idler belt scale consisting of two or more MSI scales. Used for critical process and load-out control, the two idler MMI-2 offers accuracy up to +/- 0.25 %. For even greater accuracy, the Milltronics MMI-3, a three idler belt scale, can be used on applications requiring accuracy to +/- 0.125%.

The MSI and MMI models can be installed without the use of cranes or other high cost resources.

Media Contact

Gerhard Stauss Siemens Industry Automation

All latest news from the category: Machine Engineering

Machine engineering is one of Germany’s key industries. The importance of this segment has led to the creation of new university degree programs in fields such as production and logistics, process engineering, vehicle/automotive engineering, production engineering and aerospace engineering among others.

innovations-report offers informative reports and articles covering technologies such as automation, motion, power train, energy, conveyor, plastics, lightweight construction, logistics/warehousing, measurement systems, machine tools and control engineering.

Back to home

Comments (0)

Write a comment

Newest articles

Machine learning algorithm reveals long-theorized glass phase in crystal

Scientists have found evidence of an elusive, glassy phase of matter that emerges when a crystal’s perfect internal pattern is disrupted. X-ray technology and machine learning converge to shed light…

Mapping plant functional diversity from space

HKU ecologists revolutionize ecosystem monitoring with novel field-satellite integration. An international team of researchers, led by Professor Jin WU from the School of Biological Sciences at The University of Hong…

Inverters with constant full load capability

…enable an increase in the performance of electric drives. Overheating components significantly limit the performance of drivetrains in electric vehicles. Inverters in particular are subject to a high thermal load,…

Partners & Sponsors