Analyses of used engine oils via atomic spectroscopy – Influence of sample pre-treatment and machine learning for engine type classification and lifetime assessment

Grimmig, Roman; Lindner, Simon; Gillemot, Philipp; Winkler, Markus; Witzleben, Steffen

doi:10.1016/j.talanta.2021.122431

Cited by 14 publications

(8 citation statements)

References 53 publications

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“…This appeared to be due to varying particle shapes since chipped debris is not properly ionized within the inductively coupled plasma (ICP) flame, impairing component measurement using oily techniques. [ 8 ]…”

Section: Resultsmentioning

confidence: 99%

“…A small copper level is thus more likely related to an aged motor, while high copper abrasion is a clear sign of a newer motor. [ 8 ] Recently, significant changes in petroleum sources have been observed, where light crude sources are becoming heavy, containing a large number of contaminants (sulphur, nitrogen, metals, asphaltene, etc. ), and producing a significant fraction of the bottom of the barrel (residue) after distillation.…”

Section: Introductionmentioning

confidence: 99%

“…[ 3 ] Elements such as iron are notorious for being underdetermined in oily samples because they are often present as solid particles in used engine oil and so cannot be measured accurately with direct injection. [ 8 ] There are many techniques specifically applied for the removal of heavy metals from wastewater such as distillation, filtration, chemical precipitation, ion exchange, chemistry deposition, adsorption. Among these techniques, adsorption has been recognized to be a promising technology in wastewater treatment and possesses great advantages like simple usage, low cost, and high potency in an exceedingly wide concentration vary.…”

Section: Introductionmentioning

confidence: 99%

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Modification of chitosan with cellulose and gelatin for the removal of Cu²⁺, Fe²⁺, and Pb²⁺ from oily wastewater

et al. 2023

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In this study, chitosan was modified with cellulose and gelatin for the removal of Cu2+, Fe2+, and Pb2+ from oily wastewater. Chitosan was characterized using Fourier‐transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and X‐ray diffraction (XRD). Carbon (77.54%), hydrogen (10.30%), oxygen (8.89%), nitrogen (2.74%), and sulphur (0.53%) were found in the organic constitution of the oil utilized, according to elemental analysis. Despite the presence of other metal ions in the used oil and effluent, this study focused solely on Cu2+, Fe2+, and Pb2+. Studies on the removal of Cu2+, Fe2+, and Pb2+ from oily wastewater were conducted, and multiple effect factors such as temperature and pH, time and pH, solvent and pH, temperature and time, temperature and solvent, and time and solvent were evaluated. An adsorption study was performed to remove the heavy metals. The results revealed that the highest percentage removal of Cu2+ was 96.62 (pH = 7.52 and conductivity = −12 mV), of Fe2+ was 97.95 (pH = 6.30 and conductivity = +68 mV), and of Pb2+ was 98.86 (pH = 10.58 and conductivity = −170 mV). To analyze the impacts of experimental factors, experiments were developed using central composite design (CCD) based on response surface methodology (RSM).

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modification of chitosan with cellulose and gelatin for the removal of Cu²⁺, Fe²⁺, and Pb²⁺ from oily wastewater

et al. 2023

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“…Having this, the electrical techniques are promising methods since they provide in-situ measurement and allow easy to use and cost-effective [12,13]. On the other hand, the soft computing methods have been employed to analyze without experts [11,14,15].…”

Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of the Models for Predicting the Rela-Tionship Between Electrical and Chemical Properties of Engine Lubricants: An Exact Monitoring Approach

Pourramezan¹,

Rohani²,

Abbaspour‐Fard³

2023

Preprint

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Condition monitoring is a primary principle for predictive maintenance. In this regard, several techniques have been employed, each of which has its strengths and weaknesses. In this work, the relationships between the electrical (ε', ε", tan δ) and chemical (Fe, Pb, Cu, Cr, Al, Si, Zn) properties of engine lubricants were investigated using soft computing models. The models' performance was evaluated considering some criteria, including RMSE and MAPE. The RBF model was determined as the best one to predict chemical properties (Fe, Pb, Cu, Cr, Al, Si, Zn) through electrical indexes (ε', ε", tan δ). The RBF’s parameters (e.g., hidden size and training algorithm) were then optimized for optimum performance. For instance, in the RBF model implemented to predict Al, the best hidden size and training algorithmic were 15 and 'trainlm', respectively. Finally, by sensitivity analysis it was observed that eliminating any of the inputs does not improve the performance of the RBF model performance. In general, the results of the current research showed that the electrical properties (e.g., ε', ε", tan δ) have the capability of estimating the contaminants in the lubricants which can improve the existing monitoring methods.

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“…Показатели достижения предельного состояния моторного масла по изменению эксплуатационных свойств в настоящее время контролируют в лабораторных условиях с использованием специализированного оборудования и реактивов, стандартизированных методов анализа: фотометрических, фотоколориметрических, оптоэлектронных, спектроскопических, химикоспектральных, потенциометрических, аналитических и пр. [7][8][9][10][11][12][13][14][15][16][17][18]. Для проведения данных анализов необходимо дорогостоящее лабораторное оборудование и реактивы, обученный персонал, что ограничивает возможность использования данных методов диагностики для индивидуального потребителя (автомобилиста) и транспортных компаний.…”

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ANALYSIS OF THE EFFICIENCY OF RAPID-TESTS TO DETERMINE THE TIME TO REPLACE USED ENGINE OIL

BULAUKA

MIALESHKA

2023

Herald of Polotsk State University. Series B. Industry. Applied

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The article presents the results of the analysis of the effectiveness of express tests for monitoring the current state of engine oil during the period of its operation in an internal combustion engine and determining the limit state of used engine oil. The results of diagnostics by physicochemical, rheological and optical methods of changing the state of fresh motor oil from the lubrication system of a diesel internal combustion engine at regular mileage intervals are presented. A software product project is proposed in the form of a mobile application for diagnosing the state of engine oil in the lubrication system of an internal combustion engine based on paper chromatography using a drop test, which will allow individual motorists to determine the need to replace used engine oil and, as a result, increase the period services of tribocouplings of a motor vehicle and will increase their overhaul period.

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Analyses of used engine oils via atomic spectroscopy – Influence of sample pre-treatment and machine learning for engine type classification and lifetime assessment

Cited by 14 publications

References 53 publications

Modification of chitosan with cellulose and gelatin for the removal of Cu²⁺, Fe²⁺, and Pb²⁺ from oily wastewater

Modification of chitosan with cellulose and gelatin for the removal of Cu²⁺, Fe²⁺, and Pb²⁺ from oily wastewater

Comparative Evaluation of the Models for Predicting the Rela-Tionship Between Electrical and Chemical Properties of Engine Lubricants: An Exact Monitoring Approach

ANALYSIS OF THE EFFICIENCY OF RAPID-TESTS TO DETERMINE THE TIME TO REPLACE USED ENGINE OIL

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Analyses of used engine oils via atomic spectroscopy – Influence of sample pre-treatment and machine learning for engine type classification and lifetime assessment

Cited by 14 publications

References 53 publications

Modification of chitosan with cellulose and gelatin for the removal of Cu2+, Fe2+, and Pb2+ from oily wastewater

Modification of chitosan with cellulose and gelatin for the removal of Cu2+, Fe2+, and Pb2+ from oily wastewater

Comparative Evaluation of the Models for Predicting the Rela-Tionship Between Electrical and Chemical Properties of Engine Lubricants: An Exact Monitoring Approach

ANALYSIS OF THE EFFICIENCY OF RAPID-TESTS TO DETERMINE THE TIME TO REPLACE USED ENGINE OIL

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Product

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About

Modification of chitosan with cellulose and gelatin for the removal of Cu²⁺, Fe²⁺, and Pb²⁺ from oily wastewater

Modification of chitosan with cellulose and gelatin for the removal of Cu²⁺, Fe²⁺, and Pb²⁺ from oily wastewater