Review
Polymer Science
Ans Al Rashid, Muammer Koc
Summary: This study provides a comprehensive review of scientific achievements in numerical simulations of the FFF process for polymers and their composites, discussing the physical phenomena and research efforts with a focus on numerical simulation techniques.
Article
Engineering, Marine
Qishun Li, Yanpeng Hao, Peng Zhang, Haotian Tan, Wanxing Tian, Linhao Chen, Lin Yang
Summary: In this study, a three-dimensional computational fluid dynamics simulation model using FLOW-3D is developed to investigate the scouring process of semi-exposed submarine cables. The effects of sediment critical Shields number, sediment density, and ocean current velocity on local scouring are discussed. The results indicate that three scouring holes are formed around the submarine cables, and the development of these holes leads to cable spanning. The spanning time has a cubic relationship with sediment's critical Shields number, a linear relationship with sediment density, and an exponential relationship with ocean current velocity.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Industrial
Unai Mutilba, Jose A. Yague-Fabra, Fernando Egana, Gorka Kortaberria, Luis Uriarte
Summary: Metrological traceability and micrometre-level measurement uncertainty are the main challenges in traceable coordinate measurement on large machine tools. Time- and space-varying thermal conditions have a major impact on the machine tool structure and contribute to uncertainty. This research proposes the use of integrated multilateration and machine tool controller information to minimize the influence of thermal conditions and characterize coordinate measurements. Experimental results demonstrate measurement uncertainty within an 18-micrometre range, ensuring required metrological traceability.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Moritz Waldmann, Alice Grosch, Christian Witzler, Matthias Lehner, Odo Benda, Walter Koch, Klaus Vogt, Christopher Kohn, Wolfgang Schroeder, Jens Henrik Goebbert, Andreas Lintermann
Summary: Physics-based analyses have the potential to enhance medical diagnoses in rhinology, but are not yet used in clinical applications. Researchers have developed a new workflow that can process the entire chain of data from medical to high-value data. Experimental results show that this workflow can effectively preprocess medical image data, achieve high-accuracy simulations, and analysis.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Energy & Fuels
Yi Ouyang, Geraldine J. Heynderickx, Kevin M. Van Geem
Summary: The use of intensified equipment in the chemical industry faces obstacles. This paper proposes a methodology perspective based on coupling lab experiments, simulations, and assessment to accelerate process intensification technology.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2022)
Article
Computer Science, Interdisciplinary Applications
K. Nagata, N. Ikegaya, J. Tanimoto
Summary: The paper discusses a new explicit method for unsteady fluid flow numerical simulation, utilizing compressible continuity and Navier-Stokes equations with density replacing pressure as a major variable. Validation results show that the proposed method aligns well with results from conventional incompressible methods and Lattice-Boltzmann methods under different Reynolds numbers.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Chemistry, Multidisciplinary
Anthony Grelier, Matej Zadravec, Johan Remmelgas, Thomas Forgber, Franco Colacino, Gabrielle Pilcer, Fanny Stauffer, Theresa Hoermann-Kincses
Summary: The aim of this study was to understand the root-cause of variability in drying performance between different cells of the dryer in continuous pharmaceutical production. Measurements and computational fluid dynamics simulations were used to confirm the impact of air inlet design on temperature distribution in the dryer.
PHARMACEUTICAL RESEARCH
(2022)
Article
Environmental Sciences
Yunpeng Zhao, Guangchen Jia, Yuan Cheng, Hongyu Zhu, Zhanyou Chi, Haibin Shen, Chenba Zhu
Summary: Wave-driven floating photobioreactors (PBRs) have the potential for cost and energy-effective microalgae production. However, poor wave conditions can lead to reduced biomass productivity or collapse of the cultures. This study numerically investigates the fluid dynamics of floating PBRs, considering wave conditions, culture depth, and different PBR structures. The results show that the liquid inside the PBRs follows a periodic sinusoidal flow, with square PBRs having aggressive mixing characteristics at high wave frequency and rectangular PBRs having intense mixing at low frequency. Increasing culture depth leads to decreased liquid mixing, and PBRs with high culture depth have dead zones. This study provides valuable insights for improving wave energy utilization and PBR design.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Energy & Fuels
Guangzhou Yang, Guangchao Jiang, Facheng Qiu, Lei Zhang, Xingran Zhang, Li Li, Wensheng Li, Zhiliang Cheng
Summary: This study investigates the effect of jet velocity on the characteristics of jet impingement in a negative pressure ambient using computational fluid dynamics. The results show that increasing the jet velocity results in higher impingement pressure, enhanced fragmentation effect, and an increased number of atomized droplets.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2023)
Article
Engineering, Aerospace
Guillermo Guevara-Morales, Oliver M. Huerta-Chavez, Isidro Castorena, Raul Bernal-Orozco, Jaime Cruz-Cruz, Sergio G. Torres-Cedillo, Marco Abad-Romero
Summary: Computational fluid dynamics is used to simulate a liquid methanol burner, and the results are compared with experimental data. The simulations show good agreement overall, although there are some discrepancies in the estimation of spray characteristics.
JOURNAL OF AEROSPACE ENGINEERING
(2022)
Review
Computer Science, Artificial Intelligence
Dhruvil Panchigar, Kunal Kar, Shashank Shukla, Rhea Mary Mathew, Utkarsh Chadha, Senthil Kumaran Selvaraj
Summary: This review explores the applications of CFD in various scenarios and the logical components required for exemplary computations. It examines the influence of machine learning on design parameters with implemented algorithms, as well as research-based algorithms used in different situations. It also analyzes the advantages, disadvantages, and computing tools of the algorithms.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Ramtin Gharleghi, Arcot Sowmya, Susann Beier
Summary: In this study, a deep learning technique was proposed as an alternative method to calculate blood flow-induced shear stresses in coronary bifurcations. The model showed high fidelity predictions and significantly reduced computational cost compared to traditional computational fluid dynamics methods.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Chemistry, Multidisciplinary
Hayder A. Alhameedi, Joseph D. Smith, Paul Ani, Tanner Powley
Summary: In this study, a new air-assisted flare tip was designed to enhance waste gas mixing energy and improve flare performance. Tests showed high combustion efficiency and significant soot formation suppression, indicating the effectiveness of the new flare tip design.
Review
Engineering, Environmental
Dyg Siti Nurzailyn Abg Shamsuddin, Ahmad Faris Mohd Fekeri, Andanastuti Muchtar, Faisal Khan, Bee Chin Khor, Bee Huah Lim, Masli Irwan Rosli, Mohd Sobri Takriff
Summary: Previous studies have shown that explosions are the main cause of major accidents in the Chemical Process Industry (CPI). Analytical studies using modelling and simulation techniques, particularly computational fluid dynamics (CFD) models, are used to predict the consequences of potential explosions. However, CFD simulations have weaknesses in terms of computational costs and potential inaccuracies. This study provides a review of the assumptions and simulation techniques used to reduce computational costs for different types of gas explosions.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Acoustics
Peter Pipp, Marko Hocevar, Matevz Dular
Summary: Research on the potential of cavitation exploitation is interesting but complex, with computational fluid dynamics now being used to supplement experimental optimization. It is important for researchers to understand the complexities of numerical simulation and put in effort to obtain reliable results in cavitation simulations.
ULTRASONICS SONOCHEMISTRY
(2021)
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.