Announcements


         Posted March, 2021    

October Webinars on Bearings and Rotor Dynamics, October 18-22, 2021 

RBTS' on-line seminars on Rotor Dynamics, Torsional Vibration, and Fluid-Film Bearings will be held on October 18 - 22, 2021. There will be two consecutive courses, starting with a 3 day Technology Transfer course for engineers and technical managers involved in ROTATING MACHINERY design, operation, maintenance, diagnosis, and troubleshooting, with emphasis on machinery rotor dynamics, drive train torsional vibrations, and bearing systems. A two day seminar providing training in the use of the ARMD software suite will follow.

Information on the seminar program including registration details is available here.

Over the years RBTS seminars have established a tradition of being fully attended with participants from a diverse group of internationally-recognized companies and academic institutions.  


         Posted September, 2019    

RBTS ARMD V6.0G1 Rotor Dynamics Program Released 

RBTS is pleased to announce that the official release of the ARMD Version 6.0G1 Rotor Dynamics Analysis (ROTLAT) module is now available. If you have a current maintenance agreement for ARMD this updated release is available at no additional cost for download, please let us know if you are interested by using the form available on the Contact section of our website here.

ARMD Version 6.0G1 Rotor Dynamics Analysis (ROTLAT) consists of a completely re-written user interface module and an enhanced dynamic simulation package. For a summary of the new ROTLAT capabilities, please click here. To download the ROTLAT 6.0G1 brochure, please click here.

This release represents the end of many years effort in redesign and reconstruction of ARMD. With this release, all design features of ARMD V6.0G1 are completed and released to our user community. We appreciate the input of many of our users in reaching this goal. While this major effort is now complete, we will continue to strive to improve and add useful features to our software.