Arabian Journal for Science and Engineering最新文献_第4页

Deep Learning Model-Based Turn-Over Intention Recognition of Array Air Spring Mattress 基于深度学习模型的阵列空气弹簧床垫翻身意向识别

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-09 DOI: 10.1007/s13369-024-09466-9

Fanchao Meng, Teng Liu, Chuizhou Meng, Jianjun Zhang, Yifan Zhang, Shijie Guo

{"title":"Deep Learning Model-Based Turn-Over Intention Recognition of Array Air Spring Mattress","authors":"Fanchao Meng, Teng Liu, Chuizhou Meng, Jianjun Zhang, Yifan Zhang, Shijie Guo","doi":"10.1007/s13369-024-09466-9","DOIUrl":"https://doi.org/10.1007/s13369-024-09466-9","url":null,"abstract":"Turn-over intention recognition of patient is crucial for the advancement of the intelligent nursing field. In this paper, a novel turn-over intention method is proposed based on array air spring mattress. For this method, the turn-over intention of a lying patient can be recognized by identifying the internal pressure distribution of array air springs. To begin with, the samples of turn-over intention are created experimentally, and then input into a model combining Variational Auto-Encoder and Generative Adversarial Network for the sample augmentation to address issues related to low accuracy and poor generalization caused by sample imbalance. Besides, the augmented dataset is conveyed into the Convolutional Neural Network model, for the detection of three states: left/right turn-over intentions and no intention. The research demonstrates that, the similarity of the left and right turn-over intention samples generated by VAE-GAN model is 90.13% and 91.01%, respectively. This increases the diversity of samples and is helpful for intention recognition. The recognition accuracy of the CNN model with sample augmentation is 98.04%, which is 13.4% higher than without sample augmentation. The proposed method is effective to turn-over intention recognition, by identifying the internal pressure distribution of array air spring mattress. The efficiency of intelligent nursing systems can be substantially improved, thus ensuring better patient care and safety.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"164 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and Performance Evaluation of Waste Concrete Powder-Based Geopolymer Recycled Concrete 基于废弃混凝土粉末的土工聚合物再生混凝土的开发与性能评估

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-09 DOI: 10.1007/s13369-024-09376-w

Liu Yang, Zhiduo Zhu, He Sun, Wangwen Huo, Yu Wan, Chen Zhang

{"title":"Development and Performance Evaluation of Waste Concrete Powder-Based Geopolymer Recycled Concrete","authors":"Liu Yang, Zhiduo Zhu, He Sun, Wangwen Huo, Yu Wan, Chen Zhang","doi":"10.1007/s13369-024-09376-w","DOIUrl":"https://doi.org/10.1007/s13369-024-09376-w","url":null,"abstract":"To achieve a green recycled concrete with excellent mechanical properties and workability, this paper utilized recycled concrete powder, fly ash and granulated ground blast furnace slag as primary materials. Recycled concrete aggregates served as coarse aggregates in the formulation of a recycled concrete powder-based geopolymer recycled concrete (RCPGRC). The study investigated the impact of additional water consumption (AWC), recycled fine aggregate content (RFAC) and the mass ratio of solid powder to aggregate (P/A) on both the mechanical property and workability of RCPGRC. Employing variance and range analysis, the research comprehensively assessed the contributing factors to the concrete's performance and identified the optimum mixture ratio. Characterization of the phase composition and micromorphology were characterized through X-ray diffraction and scanning electron microscopy. The results show that: (1) The AWC had the greatest influence on the unconfined compressive strength (UCS), slump, and setting times, while RFAC and P/A were smaller. AWC of 3%, RFAC of 10%, and P/A of 26% were the inflection points of the UCS, slump, and setting times with AWC, RFAC, and P/A, respectively. (2) The production rate and quantity of geopolymer gels production, as well as the cracks and voids, were affected when the mixture ratios deviated from these optimal inflection points. (3) These inflection points can be utilized as the indexes for rapid judge the optimum mixture ratio of RCPGRC.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"25 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Facile Synthesis and Characterization of Copper Phosphide Nanoparticles as Efficient Electrocatalyst for Hydrogen and Oxygen Evolution Reaction 磷化铜纳米粒子的简便合成与表征--作为氢氧进化反应的高效电催化剂

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-09 DOI: 10.1007/s13369-024-09514-4

Muhammad Rizwan Shakir, Samina Akbar, Imran Raza, Muhammad Awais, Saima Rehman

{"title":"Facile Synthesis and Characterization of Copper Phosphide Nanoparticles as Efficient Electrocatalyst for Hydrogen and Oxygen Evolution Reaction","authors":"Muhammad Rizwan Shakir, Samina Akbar, Imran Raza, Muhammad Awais, Saima Rehman","doi":"10.1007/s13369-024-09514-4","DOIUrl":"https://doi.org/10.1007/s13369-024-09514-4","url":null,"abstract":"Electrocatalytic water splitting has been considered as one of the most significant and sustainable approaches for hydrogen production. To make the process more efficient and affordable, there is a need to develop robust, cheap, highly active and stable electrocatalysts. Herein, facile synthesis of copper phosphide nanoparticles (Cu3P NPs) with size ranging from 30 to 80 nm was carried out by using solvothermal process. Variety of characterization techniques like FTIR, XRD, Raman spectroscopy, dynamic light scattering and SEM–EDX, verified the successful synthesis of Cu3P NPs with spherical morphology. Three-electrode system containing glassy carbon, platinum mesh and Hg/HgO as working, counter and reference electrode, respectively, was used for the electrochemical characterization. Electrochemical studies, i.e., CV, LSV and chronoamperometric analysis, revealed efficiency and stability of electrocatalyst for electrolysis of water including hydrogen evolution reaction (HER) and oxygen evolution reaction (OER). Briefly, the Cu3P NPs exhibited an excellent OER activity, achieving the current density of 10 mA cm−2 with an overpotential of 450 mV. Tafel slope value 63 mV dec−1 suggested fast OER reaction kinetics. The Cu3P catalyst also exhibited significant HER activity, approaching a current density of 10 mA cm−2 with an overpotential of 447 mV. Fast HER reaction kinetics was observed with a Tafel slope value of 132 mV dec−1. Moreover, the chronoamperometric studies revealed the stability of electrocatalyst providing favorable conditions for sustainable, long-term oxygen and hydrogen production.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"18 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

I-CNN-LSTM: An Improved CNN-LSTM for Transient Stability Analysis of More Electric Aircraft Power Systems I-CNN-LSTM：用于更多电动飞机动力系统瞬态稳定性分析的改进型 CNN-LSTM

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-08 DOI: 10.1007/s13369-024-09531-3

Cong Gao, Hongjuan Ge

{"title":"I-CNN-LSTM: An Improved CNN-LSTM for Transient Stability Analysis of More Electric Aircraft Power Systems","authors":"Cong Gao, Hongjuan Ge","doi":"10.1007/s13369-024-09531-3","DOIUrl":"https://doi.org/10.1007/s13369-024-09531-3","url":null,"abstract":"High-power nonlinear load characteristics are one of the typical characteristics of multi-electric aircraft power systems. The study provides an improved CNN-LSTM stability analysis method for solving the stability problem of the aircraft power system caused by high-power nonlinear load switching. To address the issue of sample imbalance, this approach creatively incorporates the cost factor into the CNN loss function. In order to handle the issue of computational complexity, the projection layer is added to the LSTM, and a methodology known as CNN-LSTMP is proposed. This algorithm solves the problems of low computational efficiency and huge computational volume. The time series data utilized by the experiment are created by simulating the transient switching process. The data are then labeled, normalized, and model training is carried out. A deep learning algorithm that satisfies the prediction requirements can be created by applying this method to the established simulation model of a multi-electric aircraft power system for stability analysis. According to the results of the experiments, this method’s transient stability analysis accuracy is 93.32%, which has a positive impact on transient analysis and may satisfy application requirements.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"3 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical Analysis of Hydrogen-Enriched Natural Gas on Combustion and Emission Characteristics 富氢天然气燃烧和排放特性的数值分析

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-07 DOI: 10.1007/s13369-024-09484-7

Radovan Nosek, Branislav Zvada, Peter Ďurčanský, Nikola Čajová Kantová, Pavol Mičko

{"title":"Numerical Analysis of Hydrogen-Enriched Natural Gas on Combustion and Emission Characteristics","authors":"Radovan Nosek, Branislav Zvada, Peter Ďurčanský, Nikola Čajová Kantová, Pavol Mičko","doi":"10.1007/s13369-024-09484-7","DOIUrl":"https://doi.org/10.1007/s13369-024-09484-7","url":null,"abstract":"The integration of hydrogen into natural gas infrastructure presents a viable strategy for mitigating greenhouse gas emissions and advancing toward carbon neutrality. This study investigates the combustion characteristics and emissions profiles of hydrogen-enriched natural gas mixtures, specifically focusing on the composition of Russian pipeline natural gas. A comprehensive mathematical model was developed to predict emission concentrations and simulate fuel mixture combustion using MATLAB Simulink software. This versatile model facilitates further analysis within the MATLAB ecosystem. The simulation results demonstrate a significant correlation between the hydrogen content in the natural gas mixture and the resulting heat power output. With a constant fuel consumption rate, a notable decrease in heat power was observed as the hydrogen concentration increased, reaching a maximum reduction of 44.9% at a 45% hydrogen content. These findings underscore the feasibility of partially substituting natural gas with hydrogen, while also highlighting the necessity for increased fuel flow rates to maintain equivalent power output levels. This poses additional challenges for natural gas grid operators, necessitating infrastructure adaptations to accommodate higher fuel demands. The insights gained from this research contribute to the growing body of knowledge surrounding hydrogen integration in the energy sector, offering valuable implications for decarbonization strategies and the optimization of natural gas infrastructure.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"54 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vibration, Bending, and Buckling of a Seven-Layer Sandwich Beam with Balsa Core Reinforced by Nanocomposite and Shape Memory Alloy Face Sheets Using Piezoelectromagnetic Layers 使用压电磁层对由纳米复合材料和形状记忆合金面片加固的轻木芯材七层夹层梁进行振动、弯曲和屈曲试验

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-06 DOI: 10.1007/s13369-024-09491-8

E. Arabzadeh-Ziari, M. Mohammadimehr, M. Arabzadeh-Ziari, M. Asgari

{"title":"Vibration, Bending, and Buckling of a Seven-Layer Sandwich Beam with Balsa Core Reinforced by Nanocomposite and Shape Memory Alloy Face Sheets Using Piezoelectromagnetic Layers","authors":"E. Arabzadeh-Ziari, M. Mohammadimehr, M. Arabzadeh-Ziari, M. Asgari","doi":"10.1007/s13369-024-09491-8","DOIUrl":"https://doi.org/10.1007/s13369-024-09491-8","url":null,"abstract":"This article discusses the vibration, bending, and buckling analysis of a seven-layer sandwich beam with a balsa wood core reinforced with carbon nanotubes (CNT), shape memory alloy (SMA) nanoparticles, and piezoelectromagnetic layers. The governing equations of motion are obtained using the Hamiltonian principle. To measure the validity of this research, the obtained results are compared with the other results, and the results are in agreement with each other. The primary goal is to enhance the sandwich structure’s strength and rigidity by using CNTs reinforcement and SMA nanoparticles, with the piezoelectromagnetic layers functioning as sensors to improve the overall mechanical performance of the beam The use of CNTs can have a favorable effect on the stiffness of the beam and strength-to-weight ratio and also, the effect of the thickness ratio of core on deflection, critical buckling load, and vibration frequency is significant, so that with a decrease of 11.1% in the thickness ratio, the deflection decreases by about 50.2%, the critical buckling load increases by about 101%, and the vibration frequency increases by about 40.7%. Also, with an increase of 0.5 and 3.5 percent of CNT, the deflection of a sandwich beam reduces by 20 and 50 percent, respectively.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"158 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing of Novel Magnetic Field-Assisted Electrical Discharge Turning Parameters for Machining EN24 Steel Alloy Using Response Surface Methodology and MCDM-Based CRITIC–TOPSIS Method 利用响应面方法和基于 MCDM 的 CRITIC-TOPSIS 方法优化加工 EN24 钢合金的新型磁场辅助放电车削参数

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-04 DOI: 10.1007/s13369-024-09537-x

Roopak Varshney, Param Singh

{"title":"Optimizing of Novel Magnetic Field-Assisted Electrical Discharge Turning Parameters for Machining EN24 Steel Alloy Using Response Surface Methodology and MCDM-Based CRITIC–TOPSIS Method","authors":"Roopak Varshney, Param Singh","doi":"10.1007/s13369-024-09537-x","DOIUrl":"https://doi.org/10.1007/s13369-024-09537-x","url":null,"abstract":"This study employs a multi-criteria decision-making (MCDM) technique to identify the optimal parameters for the electrical discharge turning (EDT) process used to machine cylindrical EN24 steel alloy. EDT, a significant configuration of EDM, offers a valuable approach for machining cylindrical workpieces. A face-centred central composite design (FCCCD) is employed to establish the experimental design. The CRITIC–TOPSIS method is subsequently implemented to optimize the input parameters: gap current (Ig), pulse on time (Ton), rotational speed (N), and magnetic field assistance (B). Each parameter is investigated at three distinct levels. The study focuses on four response variables: material removal rate (MRR), tool wear rate (TWR), overcut (OC), and surface roughness (Ra). Analysis of variance (ANOVA) is conducted to assess the influence of each input parameter on the observed responses. Criteria importance through inter-criteria correlation (CRITIC) is employed to assign weights to each response, followed by applying the technique for order of preference by similarity to ideal solution (TOPSIS) to identify the ideal machining parameters. The results indicate that run number 16 (Ig: 16A, Ton: 60 µs, N: 1400 RPM, and B: 0.30 T) represents the optimal configuration. Scanning electron microscopy (SEM) analysis further corroborates this finding, confirming superior surface quality compared to other experimental runs.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"24 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pure and Ce-Doped MnO2–ZnO Nanocomposites for Colossal Dielectric Energy Storage and Gas Sensing Applications 纯锰氧化物和掺杂铈的锰氧化物-氧化锌纳米复合材料在巨型介质储能和气体传感中的应用

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-03 DOI: 10.1007/s13369-024-09532-2

Ghayah M. Alsulaim, Shada A. Alsharif, Kholoud M. Alnahdi, Hanan A. Althikrallah

{"title":"Pure and Ce-Doped MnO2–ZnO Nanocomposites for Colossal Dielectric Energy Storage and Gas Sensing Applications","authors":"Ghayah M. Alsulaim, Shada A. Alsharif, Kholoud M. Alnahdi, Hanan A. Althikrallah","doi":"10.1007/s13369-024-09532-2","DOIUrl":"https://doi.org/10.1007/s13369-024-09532-2","url":null,"abstract":"ZnO-based nanocomposites have attracted a great attention for energy storage systems and detection of volatile organic compounds. In this study, pure and Ce-doped MnO2–ZnO composites were fabricated through a co-precipitation method. The results of X-ray diffraction verified the formation of tetragonal MnO2 and hexagonal ZnO phases. Scanning electron microscope images of pure and Ce-doped MnO2–ZnO composites displayed the formation of rods and semi-spherical particles. The pure and Ce-doped MnO2–ZnO composites exhibited semi-stable colossal dielectric constant values of 2.12 × 105 and 1.36 × 105, respectively, at a frequency of 45 Hz, which are proper for capacitive energy storage applications. Gas sensing measurements demonstrated that Ce-doped MnO2–ZnO composite has a high sensitivity toward 100 ppm acetone gas at operating temperature of 240 °C, while for 100 ppm ethanol this sensor has a high sensitivity at 180 °C. As a result, through adjusting the operating temperature, the selectivity of Ce-doped MnO2–ZnO sensor can be controlled for acetone and ethanol gases. Furthermore, this sensor possesses good selectivity and stability as well as proper linear relations between the sensitivity and concentrations of acetone and ethanol gases.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"62 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Use of a Conductive Recycled Mortar as an Anode in the Electrochemical Chloride Extraction in Reinforced Concrete 在钢筋混凝土电化学提取氯化物过程中使用导电回收砂浆作为阳极

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-02 DOI: 10.1007/s13369-024-09501-9

M. J. Pellegrini-Cervantes, C. A. Espinoza-Moreno, M. Rodriguez-Rodriguez, C. P. Barrios-Durstewitz, S. P. Arredondo-Rea, R. Corral-Higuera, H. J. Peinado-Guevara, M. J. Chinchillas-Chinchillas, G. Fajardo-San-Miguel

{"title":"Use of a Conductive Recycled Mortar as an Anode in the Electrochemical Chloride Extraction in Reinforced Concrete","authors":"M. J. Pellegrini-Cervantes, C. A. Espinoza-Moreno, M. Rodriguez-Rodriguez, C. P. Barrios-Durstewitz, S. P. Arredondo-Rea, R. Corral-Higuera, H. J. Peinado-Guevara, M. J. Chinchillas-Chinchillas, G. Fajardo-San-Miguel","doi":"10.1007/s13369-024-09501-9","DOIUrl":"https://doi.org/10.1007/s13369-024-09501-9","url":null,"abstract":"This study advocates for the use of recycled materials, which are more environmentally sustainable as they decrease natural resource consumption. In this research, a mortar anode composed of recycled fine aggregate (RFA) from laboratory concrete blocks, carbon fiber (CF) waste from industrial processes, and graphite powder (GP) was developed, resulting in a conductive recycled mortar (CRM). The manufacturing process utilized Portland composite cement, RFA with a sand/cement ratio of 1.00, a water/cement ratio of 0.6, a GP/cement ratio of 0.50, CF comprising 0.5%, and carboxymethyl cellulose (CMC) comprising 0.4% by weight of cement. Chloride profiles indicated that the specimens with the CRM anode were effective, as the chlorides migrated into the mortar. For M0.5CF (2.81%) and M0.5CF0.5GP (3.72%) of free chlorides, the Ti–RuO2 mesh did not expel the chlorides but rather accumulated them at 1 cm from the surface, resulting in a negative efficiency (− 20.02%). However, at 1 cm from the cathode, the efficiency levels were comparable across the anodes: Ti–RuO2 mesh (84.54%), M0.5CF (84.76%), and M0.5CF0.5GP (81.11%), underscoring the potential of using a CRM anode for electrochemical chloride removal.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"22 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Corrosion Prediction Model Based on Genetic Feedback Propagation Neural Network 基于遗传反馈传播神经网络的高效腐蚀预测模型

IF 2.9 4区综合性期刊

Arabian Journal for Science and Engineering Pub Date : 2024-09-02 DOI: 10.1007/s13369-024-09522-4

Ziheng Zhao, Elmi Bin Abu Bakar, Norizham Bin Abdul Razak, Mohammad Nishat Akhtar

{"title":"An Efficient Corrosion Prediction Model Based on Genetic Feedback Propagation Neural Network","authors":"Ziheng Zhao, Elmi Bin Abu Bakar, Norizham Bin Abdul Razak, Mohammad Nishat Akhtar","doi":"10.1007/s13369-024-09522-4","DOIUrl":"https://doi.org/10.1007/s13369-024-09522-4","url":null,"abstract":"Corrosion is one of the most significant challenges for oil pipelines. It can occur due to various factors such as moisture, oxygen, and contaminants in the oil. Corrosion weakens the pipeline material, leading to leaks, ruptures, and structural failure. To enhance the ability to decrease the corrosion problems of oil pipelines, an efficient Back Propagation Neural Network is developed to predict the corrosion rate and analyse the importance of the features that affect the corrosion. This method is based on the database generated by coupling an analytical corrosion rate model and Monte Carlo simulation by using Spearman’s (SP) correlation coefficient to generate the relevance between each feature, negating the feature variables with a strong correlation and then combining with a Genetic Algorithm (GA) and a Back Propagation (BP) Neural Network to build a regression prediction model. The proposed approach has been termed SP-GA-BP. The results showed that the proposed method can predict well with R2 = 0.99519 MAE = 0.18926 MSE = 0.0072213 RMSE = 0.084978, thereby indicating that the Temperature, CO2 Pressure, and Corrosion Inhibitor efficiency can affect the corrosion rate efficaciously. Furthermore, with the introduction of external interference, the results exhibited a high level of precision. The proposed method and the obtained results may provide a good reference value for oil pipeline maintenance.","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"27 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0