Tool for quality control of lubricants (original) (raw)

Demonstration of Sensor Monitoring of Lubricants

PHM Society Asia-Pacific Conference

Due to the spread of carbon neutral, the effective use of lubricant has been drawing attention. Since the main component of lubricant is petroleum-derived hydrocarbon oil, reducing the amount used by 1 kg will reduce CO2 by approximately 3 kg. The value of CO2 reduction is very important. In order to reduce the amount of lubricant used, there is a movement to reduce the frequency of lubricant exchange or continue to use lubricant without exchanging it. However, it is known that lubricant-induced mechanical failures occur. For this reason, equipment condition monitoring using oil sensors has been spread. The color of the lubricant, also called machine blood, indicates the condition of the machine. The oil sensor measures contamination, which has a fatal effect on machine failure, and oxidation degradation, which is related to the performance of lubricant and the machine failure. Contamination includes water and wear debris, and oxidative degradation includes consumption of additives ...

The lubricants’ parameters monitoring and data collecting

MATEC Web of Conferences 184, 03008 (2018) https://doi.org/10.1051/matecconf/201818403008 Annual Session of Scientific Papers IMT ORADEA 2018, 2018

Abstract. This approach is focused on Machine Intelligence for Diagnosis Automation, a research program, which promotes « preventative maintenance in manufacturing plants through the development of a fully automated prototype for oil analysis and fault prediction. The prototype is based on Artificial Intelligence (A.I.) software and online hardware ». Monitoring the condition of lubricants requires examining the physical, chemical and additive states, which maintain the quality of the lubricants, which is necessary for the proper functioning of the equipment. A lubricant monitoring program, especially from a qualitative point of view, will need to focus on both machine tool wear and degradation of lubricants, as well as on detecting and describing abnormal working conditions for both lubricants and machine parts. This goal can be satisfied by examining all the oils used in a company by completing laboratory tests to generate steps and acceptance classes, as well as unplanned contingency analyses. These laboratory tests can be concentrated and classified into technology-based data sheets based on test-based information and test results, ultimately constituting consistent databases needed to generate monitoring and prevention reports. Data on the condition of the oil parameters used in the hydraulic system for lubricating machine tools have been collected for six months. The data is a matrix organized, with 258648 rows (observations) and 21 columns (parameters).

TECHNICAL SYSTEM CONDITIONS MONITORING VIA THE LUBRICATING OIL ANALYSIS

TECHNICAL SYSTEM CONDITIONS MONITORING VIA THE LUBRICATING OIL ANALYSIS, 2023

Oil monitoring consists of measuring the condition and changes in the structure and characteristics of engine oil over time of exploration. The tests performed on the oil sample give three pieces of information: the condition of the lubricated system, the type of impurities present, and the condition of the oil itself. The state of the system is defined by the number and type of particles, as well as by the change of these parameters with time. The condition of the oil is mostly defined by changes in viscosity, decrement in additives amount, contamination, etc. Proper oil monitoring enables an optimization of the working life of the lubricated system. Namely, the main cause of failure in the lubricated system is the presence of abrasive particles in the oil, which are often products of wear. Therefore, an analysis of wear and contamination must be performed, and the damage and cause of failure must be determined. Considering that it is impossible to eliminate wear, it is necessary to define the critical values of wear for the operation of the system and find the main causes of wear. Intensive wear occurs with an increase in the number of large particles in the entire fluid volume, while in normal wear the particles are of small dimensions. The material from which the particles are made is also of great importance, through which we can determine the origin of the abrasive. Zn, Ca, Ba and Mg indicate the consumption of additives. Fe, Pb, Cu, Cr, Ag, Sn, Mn, and Al indicate wear. Penetration of the coolant into the lubricating oil is indicated with the appearance of Na and B, and the increased content of Ca and Si indicates the contact of the oil with air or malfunction of the air filter. Oil sampling must be carried out exactly in a certain way and on a certain part of the system through which the oil flows. Worn particles tend to settle to the bottom of the oil tank, larger particles settle faster and smaller ones more slowly. If we take a sample by simply draining the oil from the reservoir, we can get an unrealistic picture of the actual condition of the lubricated system.

Survey of lubrication oil condition monitoring, diagnostics, prognostics techniques and systems

Recently, an increasing demand for performance assessment of lubrication oil has been noticed. Considerable techniques and systems in lubrication oil condition monitoring have been developed and successfully utilized in many applications such as gasoline/diesel engines, gearboxes, etc. This paper provides a comprehensive review of the existing lubrication oil condition monitoring solutions and their characteristics along with the classification and evaluation of each technique. The reviewed techniques are analyzed and classified into four categories: electrical (magnetic), physical, chemical, and optical techniques. The characteristic of each solution and its sensing technique is evaluated with a set of properties which are crucial for oil health monitoring, diagnostics and prognostics. A comprehensive comparison among a wide range of different lubrication oil condition monitoring solutions is conducted.

Survey of lubrication oil condition monitoring, diagnostics, and prognostics techniques and systems

Recently, an increasing demand for performance assessment of lubrication oil has been noticed. Considerable techniques and systems in lubrication oil condition monitoring have been developed and successfully utilized in many applications such as gasoline/diesel engines, gearboxes, etc. This paper provides a comprehensive review of the existing lubrication oil condition monitoring solutions and their characteristics along with the classification and evaluation of each technique. The reviewed techniques are analyzed and classified into four categories: electrical (magnetic), physical, chemical, and optical techniques. The characteristic of each solution and its sensing technique is evaluated with a set of properties which are crucial for oil health monitoring, diagnostics and prognostics. A comprehensive comparison among a wide range of different lubrication oil condition monitoring solutions is conducted.

Lubricating oil conditioning sensors for online machine health monitoring – A review

Tribology International, 2017

Analysis of lubricating oil is an effective approach in judging machine's health condition and providing early warning of machine's failure progression. Many studies from both academia and industry have been conducted. This paper presents a comprehensive review of the state-of-the-art online sensors for measuring lubricant properties (e.g. wear debris, water, viscosity, aeration, soot, corrosion, and sulfur content). These online sensors include single oil property sensors based on capacitive, inductive, acoustic, and optical sensing and integrated sensors for measuring multiple oil properties. Advantages and disadvantages of each sensing method, as well as the challenges for future developments, are discussed. Research priorities are defined to address the industry needs of machine health monitoring.

Lubricant Condition Monitoring

2003

Whenever we talk about lubricant monitoring, the first thing we think on is the oil analysis, when it is supposed its lifetime is about to finish. However, if we really want to have a proactive attitude with visible results, it is necessary to go further, monitoring the lubricant all over its lifetime, since the moment it arrives at the mill until its needed substitution. This perspective implies a set of actions, most of them simple, but with great impact in the equipments functioning conditions.

CONDITION MONITORING OF LUBRICANTS USING WEAR DEBRIS ANALYSIS

Condition monitoring or predictive maintenance is the most commonly used technique to eliminate the failure of a machine and thereby increasing production time. This is a non-destructive method to foresee the problems within the machine well in advance. There area number of valid techniques available for condition monitoring. In this work a device has been fabricated and tested to identify the wearer particles which are present in the lubricating oil. Oil samples are collected at a regular intervals and tested for presence of worn out particles and hence leading to health assessment of the machine. The worn out particles both ferrous and non-ferrous can be identified with a photo diode which in turn activate a LED and also a circuit to give sound alarm. The device can also detect the ferrous particles with the help of a magnet, which encloses the oil tube.