RAB-Microfluidics
improve efficiency, reduce OPEX and increase the uptime of heavy
rotating machinery. To do this, we diagnose early signs of failure in
lubricated heavy machinery by continuously analysing the lubricating oil
in real-time with our microfluidic lab-on-a-chip technology.
Early diagnosis of potential failure in heavy machinery is critical
to operations across many industries. For this reason, industrial
businesses in 2016 spent £2.01Bn on state-of-the-art Oil Condition
Monitoring (OCM) techniques. These techniques however, are inefficient,
expensive and environmentally unfriendly. For example, additional £2.1Bn
was spent in 2016 on breakdowns, repairs and costs associated with
downtime losses, highlighting the inefficiency of current OCM
technologies.
RAB-Microfluidics has developed cutting edge microfluidic
lab-on-a-chip technology to deliver real-time continuous testing and
analysis of lubricating oil. Our “lab-on-a-chip” technology delivers oil
analysis 1000 times faster and 10 times cheaper than the current “send
the sample to the laboratory” approach.
We
combine our hardware technology with data computing by developing
machine learning capabilities to utilise the continuous real-time
machine health information generated by our hardware for smart
predictive maintenance solutions.
Our technologies enable us to solve the hard-to-reach and
hard-to-sense challenges of many businesses across various industries
e.g. Wind sector, power generation, maritime, Oil & gas etc. Using
the data we generate intelligently and innovatively, to forward model
machinery behaviour and immerse businesses in industry 4.0.
Specifically, we offer customers real-time continuous monitoring, early
problem diagnosis, rapid decision making, enhanced efficiency and cost
savings.
The company is currently focused on commercialising the technology,
with pilot trials planned this year. Over the course of the RAEng 1851
Enterprise Fellowship, Surakat will focus on achieving this, through
developing an understanding of the commercialisation requirements of the
technology in target markets, with a specific focus on the wind sector.
