Predicting and Improving Electro-mechanical Transmission Efficiency Using Romax Energy
Date: , 15:00-15:45 IST
Presented by: Amol Korde, Head Software & Consultancy Group, Romax Technology
Modern transmission design must prioritise efficiency performance. Watch this webinar to see how our fast, accurate and validated simulation methods can help you predict and improve electro-mechanical transmission efficiency, to meet efficiency targets and create better, highly efficient products with Romax Energy.
Designers across all industries are looking to make efficiency improvements. In passenger vehicle drivetrains, parasitic losses (oil churning and friction from gears and bearings) can contribute up to 5% of overall energy losses. The lubricant (base oil and additive pack) has a significant effect on this efficiency.
Romax Energy is based on years of research and development, with simulation methods which have been validated by numerous commercial projects, proven by correlation with test data and measured improvements in driveline efficiency. Packaged within an easy-to-use dedicated tool for calculation of transmission efficiency (bearings, gears, clutches, seals), Romax Energy is aimed at analysts, design and transmission engineers who focus on the design of electro-mechanical systems and on optimizing its efficiency at both a component and system level.
What you will learn:
- How Romax’s fast and accurate transmission power loss calculations help our customers meet efficiency. targets and build better, highly efficient products
- Why drive-cycle simulation is an important tool for assessing CO2 reduction potential, fuel consumption and efficiency.
- How Romax’s advanced component and system-level efficiency analyses can help predict and improve efficiency performance.
- How to integrate efficiency analysis throughout the development process and alongside system optimisation for other performance attributes such as noise and durability.
- How Romax Energy enhances and contributes to existing workflows, for an integrated and robust approach to simulation.