Haze Prediction in Lubricant Base Stocks via Light Scattering
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Solution Overview
Problem
Current methods for predicting long-term haze potential in dewaxed, petroleum-derived lubricant base stocks are inadequate, as they often fail to detect smaller deviations in wax content that can lead to haze formation, and are subjective and unreliable, resulting in customer dissatisfaction and quality issues.
Innovation Solution
A method involving a temperature profile test using light scattering to monitor the formation and disappearance of wax crystals in a dilute test sample of base stock, comparing the data to historical correlations to determine the haze potential, with the use of a solvent to accelerate crystallization and a focus on the haze disappearance temperature (HDT) as a reference point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current prediction methods are used, then the process is simple, but the measurement precision and reliability are inadequate
Solution Approach 1:
The method performs preliminary crystallization by cooling the base stock sample before light scattering measurement. This preliminary action promotes wax crystal formation in advance, allowing the detection system to measure haze potential more accurately by observing light scattering from pre-formed crystals rather than attempting to detect very small deviations in unwaxed samples.
Solution Approach 2:
The method changes the temperature parameter of the base stock sample, cooling it to promote wax crystallization. This parameter change transforms the sample from a clear liquid state to one with visible crystal formation, enabling accurate light scattering measurement of haze potential that would be undetectable at higher temperatures.
2Object-affected harmful factors
If dewaxing process severity is increased to reduce residual wax, then haze potential decreases, but manufacturing cost and energy consumption increase
Solution Approach 1:
The prediction method performs preliminary assessment of haze potential before final product release by simulating storage conditions through controlled cooling. This preliminary action identifies base stocks with high haze risk early in the process, allowing manufacturers to adjust dewaxing severity appropriately rather than always applying maximum severity, thereby reducing unnecessary energy consumption.
Solution Approach 2:
The method provides feedback on haze potential measurement results to the dewaxing process control. By measuring light scattering properties and comparing against established criteria, the system generates feedback information that allows manufacturers to optimize dewaxing severity for each batch, avoiding excessive energy use when lower severity would suffice.
3Productivity
If base stock is released quickly to minimize storage cost, then productivity increases, but quality verification reliability decreases
Solution Approach 1:
The method replaces time-consuming physical storage and visual inspection with a rapid light scattering measurement system. Instead of holding base stock in storage tanks for extended periods to observe haze formation, the system uses optical measurement to predict haze potential in minutes, substituting mechanical storage time with optical detection speed.
Solution Approach 2:
The method performs preliminary haze potential assessment through controlled cooling and light scattering measurement before product release. This preliminary action simulates the effects of long-term storage in a accelerated timeframe, providing quality verification without requiring actual extended storage, thus enabling rapid release while maintaining reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method provides a robust, rapid, and accurate prediction of long-term haze potential, allowing refineries to ensure the stability and quality of base stocks, increasing customer satisfaction and enabling on-the-fly adjustments to prevent haze issues.
Implementation Method 1
measures the changes in light scattering caused by the formation and disappearance of wax crystals in a dilute test sample of neat base stock
Implementation Method 2
a solvent that facilitates crystallization of wax components in the base stock
Data Source
AI summary
The invention is a technique for predicting future haze formation in dewaxed, petroleum-derived, lubricant base stocks and, by extension, products made from such base stocks. In general, the technique measures the changes in light scattering caused by the formation and disappearance of wax crystals in a dilute test sample of neat base stock, over the course of a temperature profile. The data obtained is then compared to a previously formulated historical correlation of measurements taken using light scattering data to haze potential. The technique focuses on haze disappearance temperature as a reference point, as opposed to total wax formation. The technique also uses a solvent to accelerate the formation of wax crystals in the test sample. The technique provides a robust early warning system that allows refineries to rapidly and accurately determine the long term haze potential of a base stock production prior to release. The technique can be performed in real time, typically in less than an hour.