Article
Energy & Fuels
Artur Wolak, Jaroslaw Molenda, Kamil Fijorek, Bartosz Lankiewicz
Summary: The objective of this study was to develop a statistical model to accurately estimate the TBN value of diesel engine oils using FTIR analysis. The study found two highly predictive models and compared them with other models. The research contributes to a better understanding of FTIR-based TBN prediction tools.
Article
Engineering, Mechanical
Sunil Jayantha Hettiarachchi, Suela Kellici, Matthew Kershaw, James Bowen
Summary: This study investigated the potential of coconut oil (CCO) as a lubricant and formulated different blends with additives to enhance its physicochemical characteristics. The results showed that blending CCO with additives effectively improved its suitability and thermal stability, offering new possibilities for environmentally friendly and renewable lubricants.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Engineering, Multidisciplinary
Michal Matuszczak, Mateusz Zbikowski, Andrzej Teodorczyk
Summary: This article introduces an approach based on deep learning and machine learning models for predicting turbine engine failures as an improvement of the condition-based maintenance scheme, while reviewing existing prognostics methods in the aviation industry. The study proposes a degradation scale for components and combines collected condition data with engine sensors and environmental data to train models. Use of data manipulation techniques and Bayesian optimization helps in identifying the best performing model for predicting component condition.
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
(2021)
Article
Engineering, Marine
Chao Fu, Kuan Lu, Qian Li, Yuandong Xu, Fengshou Gu, Andrew D. Ball, Zhaoli Zheng
Summary: The engine system of a marine vehicle plays a critical role in its efficiency and safety. However, due to harsh working conditions and complex structures, marine systems are prone to various novelties and faults. This paper proposes a marine engine system simulator with enhanced sensory placement for data collection and a physics-based multivariate modeling method for health monitoring. Case studies on misfire and exhaust valve leakage faults demonstrate the effectiveness of the proposed framework in fault identification and localization.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Kenji Sakamoto, Fumikazu Mizutani, Michio Shimomura, Kyousuke Yama, Tadao Matsunaga, Sang-Seok Lee
Summary: In this study, the feasibility of using the viscosity and light intensity of a small amount of engine oil to evaluate its degradation was investigated. The viscosity was measured using a fine capillary tube, and the light intensity was measured using a light-emitting diode and photodiode. The results showed that both the viscosity and light intensity decreased with increasing duration of usage, indicating that these methods can be used to evaluate the degradation of engine oil using small amounts of samples.
SENSORS AND ACTUATORS A-PHYSICAL
(2023)
Article
Computer Science, Artificial Intelligence
Peng Han, Qingxi Zhang, Wei He, Yuwang Chen, Boying Zhao, Yingmei Li, Guohui Zhou
Summary: This paper introduces a belief rule base (BRB) model for oil pipeline leakage prediction and proposes a double inference engine BRB-DI model. Compared with traditional BRB models, the new model improves the modeling capability and interpretability through rule reduction and the design of a double inference engine.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Chemistry, Multidisciplinary
Jose Antonio Heredia-Cancino, Roberto Carlos Carrillo-Torres, Francisco Felix-Dominguez, Mario Enrique Alvarez-Ramos
Summary: This study analyzed the chemical properties of engine oil using FT-IR spectroscopy and developed a sensor based on silver nanoparticles to detect changes in the lubricant's chemical properties. The results showed a good correlation between the FT-IR analysis and the sensor measurements.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Chemical
Hualong Song, Abby Casey, Joanne Tory, David Coultas, Daniel Lester, Peter Scott, Nicola J. Rogers
Summary: The increasing biodiesel concentrations in diesel fuel blends have raised concerns about their impact on formulated oil oxidation within internal combustion engines. It has been observed that biodiesel not only undergoes rapid oxidation at elevated temperatures but also accelerates the oxidation process of lubricant base oil in the presence of soluble iron. This observation is important for understanding the chemistry in laboratory tests for lubricant oil formulations and can contribute to the design of new lubricants with improved biodiesel compatibility, potentially reducing carbon footprint through waste reduction.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Yan Pan, Tonghai Wu, Yunteng Jing, Pujian Wang
Summary: This study establishes a knowledge-guided three-layer model to characterize the multiattribute oil state. Data dispersion is considered by assigning fuzzy probability among the attribute layer. Improved evidential reasoning is used to solve inconsistent decisions. The effectiveness of the proposed approach is verified using real-world monitoring data.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Environmental
Xianqian Gan, Lu Chen, Xiaohui Chen, Shouquan Pan, Hongkun Pan
Summary: The study showed that modified corncob had better adsorption capacity to remove various contaminants in waste lubricating oil, including organic and inorganic substances. The surface of the modified corncob became smoother and porous, leading to improved removal rates and reduction in total acid number.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Energy & Fuels
Muhamad Amir Mohd Fadzil, Haslinda Zabiri, Adi Aizat Razali, Jamali Basar, Mohammad Syamzari Rafeen
Summary: The quality of feedstock for base oil production varies due to receiving different blends of crude oil, leading to reactive operations based on limited lab characterizations. Utilizing machine learning algorithms proactively can minimize production loss and optimize product recovery during transition, with the XGBoost model showing optimal performance in predicting base oil product properties.
Article
Energy & Fuels
Daniel J. Rogers, Louis J. M. Aslett, Matthias C. M. Troffaes
Summary: A statistical model is proposed to explore the behavior and lifetime performance of battery systems, considering the degradation of cells and the benefits of organizing cells into semi-independent modules. The cost model is introduced to analyze the trade-offs between degradation, module size, and cost benefits. Case studies reveal that breaking a battery energy storage system into smaller modules can increase system capacity and reduce costs.
Article
Engineering, Mechanical
Wan-Ho Cho, Sung-Hwan Shin, Jeong-Guon Ih
Summary: The study investigates the impact of engine oil on engine noise by comparing the interior and exterior sounds of a mid-class sedan under different oil conditions. It was found that oil property, temperature, and usage time can result in noticeable differences in engine noise, especially in terms of loudness.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Javad Naghibi, Sadegh Mohsenzade, Kamyar Mehran, Martin P. Foster
Summary: Gate oxide degradation is a major cause of failure in both silicon and silicon carbide power MOSFETs, with the latter being more significantly affected. This article proposes a reliable fully analog condition monitoring technique to assess the reliability level of the gate oxide region with high resolution.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Energy & Fuels
Priyanka Arora, Puneet Verma, Faisal Lodi, Mohammad Jafari, Ali Zare, Svetlana Stevanovic, Timothy A. Bodisco, Richard J. Brown, Zoran Ristovski
Summary: This study investigates the particulate emission and soot characterization of particles from a six-cylinder common-rail direct injection (CRDI), turbocharged diesel engine. The effects of different engine loads and dioctyl phthalate (DOP) fuel blends on particulate emissions and soot structure were examined. The results show that the particle number and mass concentrations are higher for DOP fuel blends compared to neat diesel. The soot structure of DOP fuel blends is more compact and exhibits shorter and curved fringes compared to diesel. The oxidation reactivity of soot particles is reduced in DOP fuel blends.
Article
Engineering, Multidisciplinary
Artur Wolak, Grzegorz Zajac, Vojtech Kumbar
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
(2018)
Article
Engineering, Multidisciplinary
Artur Wolak, Grzegorz Zajac
Article
Automation & Control Systems
Artur Wolak
MEASUREMENT & CONTROL
(2018)
Article
Chemistry, Multidisciplinary
Grzegorz Zajac, Artur Wolak, Joanna Szyszlak-Barglowicz
PRZEMYSL CHEMICZNY
(2018)
Article
Engineering, Mechanical
Artur Wolak
TRIBOLOGY TRANSACTIONS
(2019)
Article
Energy & Fuels
Wojciech Golebiowski, Artur Wolak, Grzegorz Zajac
PETROLEUM SCIENCE AND TECHNOLOGY
(2019)
Article
Energy & Fuels
Artur Wolak, Grzegorz Zajac, Wojciech Golebiowski
PETROLEUM SCIENCE AND TECHNOLOGY
(2019)
Article
Energy & Fuels
Artur Wolak, Kamil Fijorek, Grzegorz Zajac
Article
Energy & Fuels
Artur Wolak, Grzegorz Zajac, Kamil Fijorek, Piotr Janocha, Arkadiusz Matwijczuk
Article
Chemistry, Analytical
Artur Wolak, Grzegorz Zajac, Tomasz Slowik
Summary: This study compared the kinematic viscosity of lubricating oils measured at 40 degrees C using different devices, and found that the Stabinger viscometer provided consistent results while the microchannel viscometer and mid-FTIR spectrophotometer were less accurate. Results obtained with the mid-FTIR spectrophotometer were found to have a large measurement error, emphasizing the importance of careful instrument selection when conducting similar studies. The study contributes to empirical research on the reliability of measurement results obtained through various research techniques.
Article
Chemistry, Multidisciplinary
Daniel Trost, Adam Polcar, Dorin Boldor, Divine Bup Nde, Artur Wolak, Vojtech Kumbar
Summary: The study investigates the effects of blending biobutanol into gasoline and finds that blends with 5% and 10% biobutanol exhibit very similar fluid properties to pure gasoline, while blends with 85% biobutanol show distinct fluid properties from gasoline, especially in negative temperatures. Mathematical polynomial multivariate models were created for practical applications, and three-dimensional graphs were constructed based on these models.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Artur Wolak, Jaroslaw Molenda, Kamil Fijorek, Bartosz Lankiewicz
Summary: The objective of this study was to develop a statistical model to accurately estimate the TBN value of diesel engine oils using FTIR analysis. The study found two highly predictive models and compared them with other models. The research contributes to a better understanding of FTIR-based TBN prediction tools.
Article
Engineering, Mechanical
Grzegorz Zajac, Wojciech Golebiowski, Malgorzata Szczepanik, Artur Wolak, Marie Sejkorova
Summary: Oil degradation has a significant impact on the engine's performance, and assessing the level of degradation helps optimize vehicle availability for companies. Soot content is a crucial factor in engine oil degradation. This study examines the changes in soot content and dispersion in engine oil during four complete change intervals, using a city bus as the subject of study. The results indicate a consistent direction of change in soot content and a decrease in dispersion with mileage. A statistical model was developed based on the obtained results to describe these relationships.
Article
Economics
Artur Wolak, Kamil Fijorek, Grzegorz Zajac, Vojtech Kumbar
ENTREPRENEURIAL BUSINESS AND ECONOMICS REVIEW
(2019)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.