Controlling the Lack and Excess of Lubrication with Airborne Ultrasound
Did you know that 40-70% of bearing failures in industries are due to bad lubrication procedures? Does your company have a good method to control lubrication for your bearings? The UL101 instrument together with the InCTRL platform offers you a solution.
The Lubrication Dilemma
Every year great investments of money and effort are made to determine what lubricants give the best performance to the different appliances we have in the industry. Storage rooms are built for lubricants and procedures are implemented worldwide to make sure that during the buying, reception, storage, and loading procedures the risks of the lubrication being contaminated is minimized, but when lubrication frequencies are being established, when and how much lubrication to apply, there is a void of information that may severely affect our bearings.
Like in many other everyday aspects in the industrial world, we understand there are many different lubrication methods exist. From greasing to pumping grease from one side to the other, or mathematically calculating the lubrication frequencies based on the size of the bearings and operative conditions, there is always a better option. The precision lubrication is based on asking, with an ultrasound detector, the bearing if it needs to be lubricated and how much lubricant it needs to be a reliable asset.
Airborne & Structure-borne Ultrasound (AB&S) is a technology that allows the user to detect frequencies over the human audition threshold. The friction caused by the bearings, regardless of the type, size, speed, or weight, generate detectable high frequency acoustic energy. This acoustic energy can be represented with a mathematical value known as Root Mean Square (RMS). RMS is a measure of the magnitude of a varying quantity of delivered power in the acoustic emission generated by friction. In other words, it is possible to represent the friction index of each bearing in a precise and trustworthy manner by using a tendency based on a RMS linear scale, differentiating from a decibel tendency (dB uses the logarithmic scale), the RMS linear scale achieves to be a better representative of both the base line and the friction deviation index of the bearing.