Lube Oil Research Articles

Importance of Condensate Recovery in Industrial Operations “AMOC CASE”

Condensate recovery is a crucial aspect of industrial processes that involves the collection and reuse of condensed steam, a byproduct of heat exchange systems. This research paper explores condensate recovery's significance in industrial operations. It discusses the benefits, challenges, and best practices associated with condensate recovery, emphasizing its environmental, economic, and operational impacts. This research also examines various technologies and strategies used for efficient condensate recovery and highlights the importance of incorporating such practices into industrial settings for sustainability and resource conservation. The walk-through sample survey for the Scoping study of Steam Traps & condensate recovery system was carried out at AMOC, plant from 24th Dec-2017 to 26th Dec-2017. the audit study was in a total number of 4675 steam traps, the result of the audit found 50% failure of these traps. AMOC consists of a lube oil complex and a gas oil complex with tank farms and a utilities section, 1st stage of the study was finished in the lube oil plant with [1] Total Savings Potential (in USD) = 234745, [2] Total Investment (in USD) = 245521, and [3] Total Payback for the System = 12.5 months.

Influence of Lube Oil and Fuel Additives on the Particulate Raw Emission Behavior of Gasoline Engines

Influence of Lube Oil and Fuel Additives on the Particulate Raw Emission Behavior of Gasoline Engines

Numerical investigation of the enhanced heat transfer characteristics in dimpled enhanced tube to shell-and-tube lube oil heat exchangers

Numerical investigation of the enhanced heat transfer characteristics in dimpled enhanced tube to shell-and-tube lube oil heat exchangers

Optimization of Multi-Performance Parameters in EDM through Grey Relational Analysis using Deionized Water

This study includes an experimental study of the effect of input process parameters on output parameters during the EDM of C-20 mild steel. Deionized water is being investigated as a sustainable alternative to Electrical Discharge Machining (EDM) oil, reducing toxic emissions and enhancing process sustainability. ANOVA results revealed that current and voltage had the largest impact on MRR, while TON significantly affected TWR and TON had the greatest influence on surface roughness. The study found that increasing the current and voltage resulted in significant increases in MRR (164.78% and 99.49%, respectively) and TWR (21.19% and 26.02%, respectively). However, an improve in TON led to a decrease in TWR (by 66.7%) but an increase in MRR (by 59.57%). Increased current, voltage, and TON result in a 74.34%, 72.14%, and 108.15% improvement in surface roughness, respectively. The Grey relational analyses were used for best optimum result which comes on parameters current 12 amps, voltage 20 volts and TON 200 μs.

Modification of polyurethane foams with zinc sulfide nanoparticles and their novel composites with multani mitti and charcoal for oil spill cleanup.

With the rapid growth of the automobile industry, the excessive number of industrial pollutants, particularly oil spills, has become a huge threat to the natural environment. Therefore, an environmentally benign and sustainable solution is required for an effective oil spill cleanup. To enhance the sorption capacity of pristine polyurethane (PU) foam used in oil spill cleanup, ZnS nanoparticles were deposited on PU foam via a coprecipitation approach. Additionally, the effect of Fuller's earth, locally known as Multani Mitti (MM), and charcoal (CC) on the sorption properties of the PU foam were investigated and compared. Polyvinyl alcohol (PVA) was used as a binder during the modification procedure. The morphology, chemical composition, and thermal stability of ZnS/MM/PVA- and ZnS/CC/PVA-modified PU sorbents were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, thermogravimetric analysis (TGA), and X-ray photon spectroscopy (XPS). The modified PU foam exhibited outstanding properties including a high sorption capacity, high selectivity to different types of used oils such as vegetable oil, hydraulic oil, lube oil, and gear oil, and superior reusability in comparison to pristine PU foam. ZnS/CC/PVA has a sorption capacity of 16.78 g g-1 while ZnS/MM/PVA exhibited a sorption capacity of 16 g g-1. In addition, after 10 cycles of oil sorption-squeezing experiments, the oil sorption capacity remained unchanged, and the absorbed used oil could be removed and collected by an easy squeezing procedure prior to reuse. This work reveals that the ZnS/CC/PVA- and ZnS/MM/PVA-modified PU foams have a promising potential for oil spill removal and environmental protection.

Fabric defects identification for textile industry with a deep learning approach

The textile and clothing industries are crucial sectors that make significant contributions to the economic growth and advancement of countries. In addition to low labor costs, the sector’s development performance is influenced by flexible production structure and defect-free products manufacturing. However, in the textile companies, the manufacture, processing, and weaving of fabric can lead to undesirable defects, which ultimately leads to a decline in both quality and cost. This study investigates the effectiveness of different deep learning frameworks to accurately classify fabric defects commonly encountered in the textile industry in Turkey. For this purpose, an innovative data set is generated as comprising fabric defects such as lines, wrinkle marks, machine oil leaks, holes, and bleaching. Furthermore, the effectiveness of Adam and Ranger optimization functions in defect identification has been evaluated using various models in connection with explainable artificial intelligence. The findings indicate that the ResNet18 + Adam model, which is very simple and shallow, obtained a notable level of success with an accuracy of 99.30%. On the other hand, the more complex EfficientNetv2m + Adam model emerged by achieving an accuracy of 99.42%. The research results suggest that deep learning algorithms can effectively replace human manual control in the task of detecting fabric defects.

Monitoring Diesel Engines By Lube Oil Analysis (A case study )

The current review focuses on monitoring oil in Diesel engines and analysis of oil to choose the right decision. The literature survey includes many cases taken to be studied to analyze the given data using experimental apparatus to get actual facts compared with the theoretical knowledge. The results will show how we can rely on this technique in monitoring, protecting, predicting the status of the engines according to the tested parameters. Oil Analysis has become an effective tool to show the clear vision of engines status. The study has applied on three cases to do the assessment and diagnose each case and construct the curves that illustrate the results for period of monitoring.

Managing a Major Lube Oil Leak on a 150 MW Steam Turbine Power Plant

This paper focuses on the management of a major lube oil leak from bearing box No. 2 at the Sumsel-5 Power Plant. The steam turbine, a super high-pressure has been operational since April 2016. Overhauls in 2019 and 2023 addressed issues such as wear on oil deflectors, abnormal gland sealing clearances, and oil sealing wear. However, oil leakage persisted, necessitating further interventions. Rectification efforts included replacing oil deflectors, adjusting clearance, installing additional venting lines, the addition of a fiber gasket at bearing box No. 2 aimed to reduce and manage oil leakage. These measures resulted in a significant reduction in the oil leakage rate, from approximately 2826 ml/hr to 75 ml/hr during full load operation, representing a decrement of around 97.3%. Additionally, the frequency of lube oil top-ups decreased dramatically, leading to substantial cost savings for the plant. From a safety and environmental perspective, rectification measures mitigated fire hazards and reduced oil wastage, minimizing environmental impact. Regular monitoring of lubrication oil quality further ensures operational reliability. Although complete elimination of the oil leak was not achieved, the turbine continues to operate smoothly under manageable oil leakage conditions.

Conversion of Plastic Waste into Fuel by Pyrolysis

Abstract: Plastics have woven their way into our daily lives and now pose a tremendous threat to the environment. Over a 100 million tons of plastics are produced annually worldwide, and the used products have become a common feature at overflowing bins and landfills. Though work has been done to make futuristic biodegradable plastics, there have not been many conclusive steps towards cleaning up the existing problem. Here, the process of converting waste plastic into value added fuels is explained as a viable solution for recycling of plastics. Thus, two universal problems such as problems of waste plastic and problems of fuel shortage are being tackled simultaneously. In this study, plastic wastes (low density polyethylene) were used for the pyrolysis to get fuel oil that has the same physical properties as the fuels like petrol, diesel etc. Pyrolysis runs without oxygen and in high temperature of about 300°C which is why a reactor was fabricated to provide the required temperature for the reaction. The waste plastics are subjected to depolymerization, pyrolysis, thermal cracking and distillation to obtain different value-added fuels such as petrol, kerosene, and diesel, lube oil etc. Converting waste plastics into fuel hold great promise for both the environmental and economic scenarios. Thus, the process of converting plastics to fuel has now turned the problems into an opportunity to make wealth from waste.

Blockchain design for optimal joint production and maintenance over multiple periods for oil-filling production lines

Joint maintenance and production planning result in enhanced system efficiency and a significant reduction in expensive costs. Therefore, this research proposed an integrated blockchain design of two optimization models for the joint scheduling and sequencing of production orders and maintenance jobs over multiple periods with probabilistic and stochastic parameters for the oil-filling process. In the scheduling model, the objective function was to minimize total production and maintenance costs. Further, the sequencing model aimed to minimize the total overtime cost and the sum start times of jobs and orders. The proposed models were implemented on five production lines of five-liter lube oil bottles. Results showed that the developed optimization models effectively achieved concurrent production and maintenance planning at minimal total cost. In practice, this results in effective resource utilization, and saving costly production and maintenance costs. In conclusion, the developed blockchain design is valuable in developing, managing, and controlling optimal joint production and maintenance planning of oil-filling production lines.

Properties That Potentially Limit High-Level Blends of Biomass-Based Diesel Fuel.

While today's biomass-based diesel fuels are used at relatively low blend levels in petroleum diesel, decarbonization of the heavy-duty trucking and off-road sectors is driving increasing use of higher level blends and the combination of hydroprocessing-derived renewable diesel (RD) with biodiesel (fatty acid methyl esters) to create a 100% renewable fuel. However, little data are available on the properties of biodiesel blends over 20 vol % into RD or conventional diesel, despite the potential for properties to fall well outside the normal range for diesel fuels. Here, we evaluate the properties of 20-80% blends of a soy-derived biodiesel into RD and petroleum diesel. Properties measured were flash point, cloud point, cetane number, surface tension, density, kinematic viscosity, distillation curve, lower heating value, water content, water solubility in the fuel, lubricity, and oxidation stability. Density and viscosity were measured over a wide temperature range. A key objective was to reveal properties that might limit blending of biodiesel and any differences between biodiesel blends into RD versus petroleum diesel and to understand research needed to advance the use of high-level blends and 100% renewable fuel. Properties that may limit blending include the cloud point, viscosity, distillation curve, and oxidation stability. Meeting cloud point requirements can be an issue for all distillate fuels. For biodiesel, reducing the blend level and use of lower cloud point hydrocarbon blendstocks, such as No. 1 diesel or kerosene, can be used in winter months. Alternatively, a heated fuel system that allows for starting the vehicle on conventional diesel before switching to pure biodiesel (B100) or a high-level blend has been successfully demonstrated in the literature. Some biodiesels can have kinematic viscosity above the upper limit for diesel fuels (4.1 mm2/s), which will limit the amount that can be blended. Biodiesel boils in a narrow range at the very high end of the No. 2 diesel range. Additional research is needed to understand how the high T90 of B100 and high-level blends and the very low distillation range of B100, some RD samples, and high-level biodiesel blends impact lube oil dilution, engine deposits, and diesel oxidation catalyst light-off. Blending with No. 1 diesel or kerosene or biodiesel-specific engine calibrations may mitigate these issues. Oxidation stability of higher level blends is poorly understood but may be addressed through the increased use of antioxidant additives. Finally, high-level biodiesel blends and B100 will have significantly higher density, viscosity, and surface tension compared to conventional diesel. In combination with the high boiling point, these properties may impact fuel spray atomization and evaporation, and additional research is needed in this area.

Analisis Viskositas Lube Oil Di Turbin Unit 2 PLTP Lahendong

Viscosity, also known as fluid viscosity, is a fluid characteristic that provides shear stress resistance by the fluid. Viscosity describes a fluid's resistance to a flow so that it can be used to measure fluid friction. The viscosity of a lubricant is affected by changes in temperature and pressure. The pressure increases if the value of the viscosity increases, the higher the pressure, the more significant the fluid's viscosity. This study aims to find out the viscosity value of lube oil in turbine unit 2 of the Lahendong PLTP. Based on the results of the calculation, the result was obtained from the viscosity value of lube oil in turbine unit 2 of 373.61 kg/ms with a pressure of 30591.486 kg/m2, and the viscosity value increased by 386.06 kg/ms due to an increase in pressure of 31611.2 kg/m2.

Robust Synthesis of Hydrophobic Biosorbent for Effective Oil/Organic Solvent Cleanup

AbstractDifferent carbon‐based sorbents are widely used for the refinement of industrial as well as domestic effluent because of their availability, low cost, and excellent hydrophobicity. In this article, the activated biosorbent (ABs) material was prepared and applied to develop a membrane (ABs@Membrane) and sponge (ABs@Sponge) for effective oil and organic solvent cleanup from water mixtures. The one‐pot process was adopted to prepare ABs material by the simple carbonization of naturally available cotton and biowaste chitosan with sulphuric acid. The fabricated ABs@Membrane and ABs@Sponge showed excellent hydrophobicity with excellent water contact angle, i. e., 138.06° and 135.58°, respectively. Moreover, the synthesized ABs@Sponge showed excellent oil/organic solvent absorption capacity in the presence of water, i. e., 40 gm of machine oil and 62 gm of chloroform. Whereas the synthesized ABs@Membrane material showed excellent oil‐water separation efficiency (>90 %) and water flux (219.29 Lm−2 h−1) with a good oil rejection ratio (>91 %). The synthesized ABs@Membrane and ABs@Sponge material showed excellent recyclability performance up to 5th no of consecutive cycles. The straightforward synthesis and fabrication of ABs@Membrane and ABs@Sponge materials with excellent oil rejection ratio and oil/organic solvent separation performance open a new window in the effluent water treatment application.

Deciphering Lube Oil Ignition in a Medium-speed MTU Gas Engine

Deciphering Lube Oil Ignition in a Medium-speed MTU Gas Engine

Oral supplementation of Njansan (Ricinodendron heudelotii Bail) and sardine fillets (Sardina pilchardus) oils alleviate high-fat diet-induced obesity in rats by regulating lipid metabolism and stress oxidative parameters

Background: Obesity has become one of the most common metabolic disorders in the world, characterized by the accumulation of excess fat in the body. Research into natural compounds to improve obesity has become increasingly important. Aims and Objectives: The aim of the study was to explore the effects of Sardina pilchardus and Ricinodendron heudelotii oils on the management of obesity. Materials and Methods: Njansan (R. heudelotii) oil was extracted by cold pressing using an automatic oil press machine and Sardine fish oil by a cooking method. To evaluate the anti-obesity effect of these oils, six groups of six male Wistar rats were fed different diets: C0 group received a normal diet; HFD was fed a high-fat diet; N1, N2, F1 and F2 followed by a high-fat diet supplemented with njansan and sardine oils at 1 g/kg body weight/day and 2 g/kg body weight/day, respectively. Results: There was an increase in body weight, relative abdominal fat, and liver weight in the HFD group compared to the control group. There was also a decrease in anthropometric parameters such as the Lee index of the HFD group treated with njansan and fish oils, regardless of the concentration. The hyperlipidemic state in the HFD-fed rats was then normalized after treatment with both oils as well as hyperglycemia compared to the control group. Besides, fish and njansan oils attenuated HFD-induced oxidative stress, as indicated by a significant increase CA and superoxide dismutase. Conclusion: This study demonstrated that njansan oils at a low daily dose (1 g/kg body weight) can be helpful in managing obesity and also reduce the risk of developing coronary heart diseases.

Influence of Novel Al-Ni Electrodes on Roughness and Machining Time in Inconel 625 EDM Machining: A Comprehensive RSM Performance Analysis

In the context of Inconel 625 machining, this study explores the effects of novel Al-Ni nano electrodes on surface roughness and machining time. Thorough performance study was undertaken to clarify the complex connections between the machining settings, electrode composition, and final surface quality. Important insights were obtained via methodical experimentation and data analysis, which helps optimize the machining procedures for improved productivity and surface quality when milling Inconel 625. This research presents an experimental investigation of the effects of the Electric Discharge Machining (EDM) input parameters, namely current, pulse-on time, and pulse-off time, on the surface roughness and machining time output parameters. Inconel 625 was the material of choice for the work piece. Electric discharge machining oil was used as the dielectric fluid and aluminium nanocomposite as the tool electrode. Response surface methodology (RSM) approach was employed in the experimentation. ANOVA was used to optimize the parameters and obtain the lowest possible surface roughness (SR) and machining time. The findings show that pulse-off time is the most significant motivating factor for SR. The current is the main determining factor for machining time. The Central Composite Design approach was used for optimization.

Prediction and Optimization of a Hydrodynamic Journal Bearing’s Energy Efficient Tribological Behaviours for Different Grades of Lube Oil: A Novel DoE-RSM Strategy

Prediction and Optimization of a Hydrodynamic Journal Bearing’s Energy Efficient Tribological Behaviours for Different Grades of Lube Oil: A Novel DoE-RSM Strategy

Rapid determination of chemical compositions of raw materials and intermediate products of lube base oil by near infrared spectroscopy combined with library spectral fitting method

Rapid analysis of the detailed hydrocarbon composition of vacuum gas oil, hydrocracking bottom oil, and hydrogenated lube base oil is a critical technology in the production of hydrogenated lube base oil. In this study, based on a quantity of representative samples, a novel approach for estimating the hydrocarbon composition for vacuum gas oil, hydrocracking bottom oil and hydrogenated lube base oil was developed by near infrared (NIR) spectra combined with new chemometric method called library spectra fitting. The proposed method can reduce the maintenance requirements of traditional multivariate calibration such as partial least squares (PLS) apparently. The results of NIR analysis are basically consistent with ASTM standard method, which can fulfill the needs of rapid analysis in industrial field. Currently, the technology and corresponding software tools have been applied in a petroleum refinery.

Catalytic conversion of triglycerides into diesel, jet fuel, and lube base oil

The conversion of biomass into sustainable fuels and chemicals is essential for addressing environmental concerns, reducing the carbon footprint of the energy sector, enhancing energy security, and promoting economic and social development. Among various biomass feedstocks, triglycerides from diverse sources, such as vegetable oils, animal fats, and microalgal oils, are particularly suitable for producing sustainable hydrocarbon fuels and chemicals due to their low oxygen contents and highly paraffinic backbone in the fatty acid units, the structures of which are already quite similar to those of petroleum-derived hydrocarbons. This implies that relatively simple catalytic conversions can effectively convert triglycerides into hydrocarbon products. In this Perspective, we will provide an overview on the hydroconversion of triglycerides into oxygen-free fuels, such as diesel and jet fuel, and value-added products such as lube base oil. In addition, we will discuss the important structural properties of the required catalysts and the effects of different fatty acid compositions of triglycerides for each conversion process in light of reaction mechanisms.

Synthesis and biodegradation testing of some synthetic oils based on ester

Synthetic ester oils are widely used in many applications due to their ideal cleaning properties, lubricating performance and assured polarity. The majority of esters oils are more biodegradable. than any other base stock. For instance, oil soluble polyalkyleneglycols (PAGs) or polyalphaolephins (PAOs), are only biodegradable in the lower viscosity grades. The goal of this study is to create some synthetic base oils by two major protocols; the first is esterifying valeric acid with various glycols (ethylene glycol, propylene glycol, butylene glycol and poly (ethylene glycol 400). The second involves esterification of propanoic acid, heptanoic acid, or octanoic acid with ethylene glycol. The reaction yield varies between 85 and 94%. The chemical composition of the prepared esters was examined using various spectroscopic methods (Fourier-transform infrared (FT-IR) and proton nuclear magnetic resonance (1H-NMR) spectroscopy. The thermal properties investigation by thermo gravimetric analysis (TGA) showed pronounced thermal stability of the prepared esters. The biodegradability was verified versus two bacterial isolates (B1, B2). The results showed that percentage of degradation of the lube oil was in the range of 34% to 84% after 3 days of incubation. Moreover, the rheological study revealed that the prepared esters exhibited Newtonian rheological behaviours. Viscosity examination displayed that the esters based on ethylene glycol, such as (A), had the highest VI: 179 values when compared to those based on higher glycols. Viscosity and viscosity index results showed slight increase as the number of carbon atoms in the acid chain increases. At last, most of the synthesized esters possessed pour points ≤ − 32 °C: ≤ − 40 except in case of using higher acids like heptanoic acid and octanoic acid in preparation the pour point increases to − 9 °C and − 15 °C.