Journal of King Saud University, Engineering Sciences最新文献_第10页

Journal of King Saud University, Engineering Sciences Pub Date : 2023-03-01 DOI: 10.1016/j.jksues.2021.03.006

Sourav Ray, Mohaiminul Haque, Tanvir Ahmed, Taifa Tasnim Nahin

{"title":"Comparison of artificial neural network (ANN) and response surface methodology (RSM) in predicting the compressive and splitting tensile strength of concrete prepared with glass waste and tin (Sn) can fiber","authors":"Sourav Ray, Mohaiminul Haque, Tanvir Ahmed, Taifa Tasnim Nahin","doi":"10.1016/j.jksues.2021.03.006","DOIUrl":"10.1016/j.jksues.2021.03.006","url":null,"abstract":"<div><p>Amidst a world of never-ending waste production and waste disposal crises, scientists have been working their way to come up with solutions to serve the earth better. Two such commonly found trash deteriorating the environment are glass and tin can waste. This study aims to investigate the comparative suitability of response surface methodology (RSM) and artificial neural network (ANN) in predicting the mechanical strength of concrete prepared with fine glass aggregate (GFA) and condensed milk can (tin) fibers (CMCF). An experimental scheme has been designed in this study with two input variables as GFA and CMCF, and two output variables compressive and splitting tensile strength. The results show that both variables influenced the compressive and splitting tensile strength of concrete at 7, 28, and 56 days (p < 0.01). The maximum compressive and splitting tensile strength was found at 20% GFA with 1% CMCF and 10% GFA with 0.5% CMCF, respectively. The model predicted values in both techniques were in close agreement with corresponding experimental values in all cases. The results of different statistical parameters in terms of coefficient of correlation, coefficient of determination, chi-square, mean square error, root mean square error, mean absolute error, and standard error prediction indicate the functionality of both modeling approaches for concrete strength prediction. However, RSM models yield better accuracy in simulating the compressive and splitting tensile strength of concrete than ANN models.</p></div>","PeriodicalId":35558,"journal":{"name":"Journal of King Saud University, Engineering Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jksues.2021.03.006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41771405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 48

The determination of mine waste dump material properties through back analysis 通过反分析确定矿山排土场的物料性质

Journal of King Saud University, Engineering Sciences Pub Date : 2023-02-01 DOI: 10.1016/j.jksues.2021.02.008

Supandi Sujatono

引用次数: 3

Investigating the cooling of solar photovoltaic modules under the conditions of Riyadh 在利雅得的条件下研究太阳能光伏组件的冷却

Journal of King Saud University, Engineering Sciences Pub Date : 2023-02-01 DOI: 10.1016/j.jksues.2021.03.007

A. Almuwailhi , O. Zeitoun

{"title":"Investigating the cooling of solar photovoltaic modules under the conditions of Riyadh","authors":"A. Almuwailhi , O. Zeitoun","doi":"10.1016/j.jksues.2021.03.007","DOIUrl":"10.1016/j.jksues.2021.03.007","url":null,"abstract":"<div><p>Cooling enhances the energy conversion efficiency and output of photovoltaic (PV) panels. In this work, the effects of natural convection, forced convection, and evaporative cooling on the performance of polycrystalline PV panels were investigated. The output and efficiency of a cooled PV panel were monitored and compared to those of an uncooled PV panel under the same conditions. The cooling was conducted using an insulated channel installed below a PV panel. Natural convection cooling was investigated for various channel air gaps (H = 30, 60, 90, and 120 mm). Natural convection currents in the cooling channels were capable of cooling the panel with wide air gaps. In forced convection cooling, the air was introduced by fans installed at the bottom opening of the cooling channel with various air velocities (u<sub>a</sub> = 1, 2, and 3 m/s). Evaporative natural convection cooling was performed by a wetted fabric along the lower surface of the cooling channel, whereas evaporative forced convection cooling by pushing air along the wetted lower surface of the channel. The experimental data showed that the panel efficiency and output increased due to cooling. The experimental results of natural convection cooling revealed that the use of an air gap of 120 mm to cool the solar panel contributed to an increase in the panel daily energy production and efficiency by 1.7% and 1.2%, respectively. For forced convection cooling, using air at a speed of 3 m/s increased the daily energy production by 4.4% and the efficiency by 4%. Natural convection evaporative cooling increased the daily energy production and the efficiency by 3.6% and 2.7%, respectively. Forced convection evaporative cooling contributed, at a speed of 2 m/s, to an increase in the daily energy production by 3.8% and an increase in efficiency of 3.8%.</p></div>","PeriodicalId":35558,"journal":{"name":"Journal of King Saud University, Engineering Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jksues.2021.03.007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44077713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Performance evaluation of SVM and GBM in predicting compressive and splitting tensile strength of concrete prepared with ceramic waste and nylon fiber 支持向量机和GBM预测陶瓷废料和尼龙纤维配制混凝土抗压和劈裂抗拉强度的性能评价

Journal of King Saud University, Engineering Sciences Pub Date : 2023-02-01 DOI: 10.1016/j.jksues.2021.02.009

Sourav Ray , Md Masnun Rahman , Mohaiminul Haque , M. Washif Hasan , M. Manjurul Alam

{"title":"Performance evaluation of SVM and GBM in predicting compressive and splitting tensile strength of concrete prepared with ceramic waste and nylon fiber","authors":"Sourav Ray , Md Masnun Rahman , Mohaiminul Haque , M. Washif Hasan , M. Manjurul Alam","doi":"10.1016/j.jksues.2021.02.009","DOIUrl":"10.1016/j.jksues.2021.02.009","url":null,"abstract":"<div><p>Waste management has become a new challenge for the construction industries since rapid urbanization is taking place worldwide. Ceramic waste is one such material which is being originated from construction sites and industries, imposing a significant risk to the environment due to its non-biodegradable nature. With the goal of waste utilization, this study aims to predict the compressive and splitting tensile strength of concrete made with waste Coarse Ceramic aggregate (CCA) and Nylon Fiber (NF) by using two distinct machine learning algorithms, namely, Support Vector Machine (SVM) and Gradient Boosting Machine (GBM). A comprehensive data set for testing and training the models containing 162 records of compressive and splitting tensile strength test results were considered from nine mix proportions. For training the dataset, parameters like cement content, sand content, stone content, ceramic content, nylon fiber content, curing duration, and concrete strength were taken as input variables. The predicted strengths obtained from the SVM and GBM based models are found to be in close agreement with the experimental results. In terms of coefficient of determination (R<sup>2</sup>), GBM showed significantly better result for both compressive strength (e.g., SVM Overall R<sup>2</sup> = 0.879 & GBM Overall R<sup>2</sup> = 0.981) and tensile strength (e.g., SVM Overall R<sup>2</sup> = 0.706 & GBM Overall R<sup>2</sup> = 0.923) prediction. Furthermore, based on the statistical accuracy measures like the mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), it has been observed that GBM has yielded much better performance compared to SVM in predicting the mechanical strength of concrete.</p></div>","PeriodicalId":35558,"journal":{"name":"Journal of King Saud University, Engineering Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jksues.2021.02.009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48949939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Slack-variable model in mixture experimental design applied to wood plastic composite 木塑复合材料混合试验设计中的松弛变量模型

Journal of King Saud University, Engineering Sciences Pub Date : 2023-02-01 DOI: 10.1016/j.jksues.2021.03.017

Javier Cruz-Salgado , Sergio Alonso Romero , Edgar Ruelas-Santoyo , Roxana Zaricell Bautista López , Sergio Álvarez-Rodríguez

{"title":"Slack-variable model in mixture experimental design applied to wood plastic composite","authors":"Javier Cruz-Salgado , Sergio Alonso Romero , Edgar Ruelas-Santoyo , Roxana Zaricell Bautista López , Sergio Álvarez-Rodríguez","doi":"10.1016/j.jksues.2021.03.017","DOIUrl":"10.1016/j.jksues.2021.03.017","url":null,"abstract":"<div><p>This paper describes a statistical and mathematical approach to optimize the mechanical properties of a wood plastic composite with Polyethylene Terephthalate (PET) as polymeric matrix. Wood plastic composite are materials that consist of a primary continuous polymer phase, where a secondary filler dispersed phase is embedded, the filler generally is wood fibers or sawdust. The slack variable approach in mixture experiments, consist in selecting a component of the mixture as slack variable, to subsequently design and analyze the experiment in terms of the remaining components. With the experimental design information three slack variable model were fit. Using response surface graphs, we show how different compositions modify the mechanical properties of wood plastic composite. Besides, by the desirability function, the optimal formulation of the compound that simultaneously maximizing the mechanical properties of wood plastic composite, was obtained. Finally, the components proportions that provides the best tensile, flexural and compression strength are presented.</p></div>","PeriodicalId":35558,"journal":{"name":"Journal of King Saud University, Engineering Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jksues.2021.03.017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44227986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of inlet pressure and geometric variations on the applicability of Eductor in low temperature thermal desalinations 进口压力和几何变化对Eductor低温热脱盐适用性的影响

Journal of King Saud University, Engineering Sciences Pub Date : 2023-02-01 DOI: 10.1016/j.jksues.2021.03.012

Ravi Koirala , Quoc Linh Ve , Abhijit Date , Kiao Inthavong , Aliakbar Akbarzadeh

{"title":"Influence of inlet pressure and geometric variations on the applicability of Eductor in low temperature thermal desalinations","authors":"Ravi Koirala , Quoc Linh Ve , Abhijit Date , Kiao Inthavong , Aliakbar Akbarzadeh","doi":"10.1016/j.jksues.2021.03.012","DOIUrl":"https://doi.org/10.1016/j.jksues.2021.03.012","url":null,"abstract":"<div><p>This paper explores the potential of water jet eductor to replace large condensers and vacuum pump in the thermal desalination systems, with heat source temperatures below 95 °C. The operational limit of eductor has been investigated for active vapor transport and condensation to produce permeate. Combined system and its operational principle have been proposed with critical examination based on suction performance of Eductor. Experimental and computational study are the primary methodology of this work. The computational analysis of single-phase flow in Eductor, is in proper agreement with the experimental data. The result showed primary pressure & area ratio has positive impact and swirl ratio has negative impact on suction. The extended thermal analysis summarizes strength of Eductor while working with lower temperature sources and optimum cooling capacity of proposed system. Considering the simplicity and reduction in footprint, proposed application has been highlighted. The research disseminates knowledge on maximum vacuum generation capacity of Eductor and operational limit of thermal desalination system.</p></div>","PeriodicalId":35558,"journal":{"name":"Journal of King Saud University, Engineering Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jksues.2021.03.012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49867856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

The influence of superplasticiser on mechanical, transport and microstructure properties of foam concrete 超塑化剂对泡沫混凝土力学性能、输运性能和微观结构性能的影响

Journal of King Saud University, Engineering Sciences Pub Date : 2023-02-01 DOI: 10.1016/j.jksues.2021.02.010

Abdullah Al-Shwaiter, Hanizam Awang, Mohammed A. Khalaf

{"title":"The influence of superplasticiser on mechanical, transport and microstructure properties of foam concrete","authors":"Abdullah Al-Shwaiter, Hanizam Awang, Mohammed A. Khalaf","doi":"10.1016/j.jksues.2021.02.010","DOIUrl":"10.1016/j.jksues.2021.02.010","url":null,"abstract":"<div><p>Superplasticiser (SP) is widely used in foam concrete industry to improve rheological properties since compaction and vibration adversely affect the stability of foam bubbles. This study aims to investigate the effect of polycarboxylate SP contents on the properties of foam concrete. Different water-cement ratios (w/c) were used, and the SP added to the mixture to adjust the spreadability. The density of 1500 kg/m<sup>3</sup> was chosen for the production of foam concrete for semi-structural applications. Fresh, mechanical, transport and microstructure properties were analysed in this study. The results of this study showed that the content of w/c and SP had a significant impact on the performance of the foam concrete. Increasing the SP content enhanced the foam concrete’s mechanical and transport properties, but the best behaviour was through the use of 1.35% of SP. Smaller pore diameter, better pore distribution and higher portlandite peak intensity were achieved through the use of the SP. Overall, the superior behaviour of the foam concrete was achieved by the use of 1.35% polycarboxylate SP.</p></div>","PeriodicalId":35558,"journal":{"name":"Journal of King Saud University, Engineering Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jksues.2021.02.010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47078606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Diagnostics of the fuel supply system of auto ICEs by the test method 用试验方法诊断汽车内燃机供油系统

Journal of King Saud University, Engineering Sciences Pub Date : 2023-02-01 DOI: 10.1016/j.jksues.2021.03.008

A.V. Gritsenko , V.D. Shepelev , I.V. Makarova

{"title":"Diagnostics of the fuel supply system of auto ICEs by the test method","authors":"A.V. Gritsenko , V.D. Shepelev , I.V. Makarova","doi":"10.1016/j.jksues.2021.03.008","DOIUrl":"10.1016/j.jksues.2021.03.008","url":null,"abstract":"<div><p>According to scientific studies dealing with the statistics of ICE (internal combustion engine) failures, most of them are registered in the ignition system (25%) and the power system (35%). The operable state of the ICE fuel system can be maintained by developing effective testing methods. For the purpose of theoretical research, a DBD-4 testing device was designed in the methodological part of the research. The use of the developed methodologies and instrumentation allowed carrying out experimental studies to diagnose the operability of the fuel supply system. Analyzing the obtained experimental data, it can be affirmed that: there is a stable relationship between the change in the ICE crankshaft speed and the change in the injection duration of the electromagnetic injector; the degree of wear of the electric fuel pump (EFP) is determined by the shift of the stable value of the crankshaft speed to the zone of low speed values at the same injection durations. The data obtained after testing the EFP allows planning a further algorithm of actions to maintain the operability of the fuel supply system.</p></div>","PeriodicalId":35558,"journal":{"name":"Journal of King Saud University, Engineering Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jksues.2021.03.008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41539378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Surface roughness Ra prediction in Selective Laser Melting of 316L stainless steel by means of artificial intelligence inference 基于人工智能推理的316L不锈钢选择性激光熔化表面粗糙度Ra预测

Journal of King Saud University, Engineering Sciences Pub Date : 2023-02-01 DOI: 10.1016/j.jksues.2021.03.002

Iván La Fé-Perdomo , Jorge Ramos-Grez , Rafael Mujica , Marcelino Rivas

{"title":"Surface roughness Ra prediction in Selective Laser Melting of 316L stainless steel by means of artificial intelligence inference","authors":"Iván La Fé-Perdomo , Jorge Ramos-Grez , Rafael Mujica , Marcelino Rivas","doi":"10.1016/j.jksues.2021.03.002","DOIUrl":"https://doi.org/10.1016/j.jksues.2021.03.002","url":null,"abstract":"<div><p>Selective Laser Melting (SLM) is a widely used metal additive manufacturing process due to the possibility of elaborating complicated and customized tridimensional parts or components. This paper presents research on predicting surface roughness of 316L stainless steel manufactured SLM parts using the well-known multilayer perceptron (MLP) and an adaptive neuro-fuzzy inference system (ANFIS). Two models were adjusted to predict the top surface quality for different values of laser power, scanning speed, and hatch distance. The obtained results were evaluated and compared in order to ensure the goodness of fit of both techniques. The multilayer perceptron-based model has proved, to possess better predictive capability of the non-linear relationships of the SLM process. However, adequate results were also obtained with the adjusted ANFIS. The consistency of the presented models is also compared with previously published empirical formulations and discussed. As a final result, has been demonstrated that both fitted models outperform the previously published statistic-based approaches.</p></div>","PeriodicalId":35558,"journal":{"name":"Journal of King Saud University, Engineering Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jksues.2021.03.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49867857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Modelling and control of a non-isolated half-bridge bidirectional DC-DC converter with an energy management topology applicable with EV/HEV 具有适用于EV/HEV的能量管理拓扑的非隔离半桥双向DC-DC转换器的建模和控制

Journal of King Saud University, Engineering Sciences Pub Date : 2023-02-01 DOI: 10.1016/j.jksues.2021.03.004

Ranjan Pramanik, B.B. Pati

引用次数: 7