Pub Date : 2020-09-01DOI: 10.17706/ijmse.2020.8.3.74-80
{"title":"Review of Carbon Fiber Composite Grid with Manufacturing and Design Concepts for Seismic Resistance","authors":"","doi":"10.17706/ijmse.2020.8.3.74-80","DOIUrl":"https://doi.org/10.17706/ijmse.2020.8.3.74-80","url":null,"abstract":"","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"97 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83379538","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}
Pub Date : 2020-09-01DOI: 10.17706/ijmse.2020.8.3.87-104
{"title":"Effect of Temperature on Mechanical and Chemical Properties of Fired Ceramic Produced from Cathode-Ray Tube (CRT) Waste Glass and Red Mud Bauxite from Ngaoundal (Cameroon)","authors":"","doi":"10.17706/ijmse.2020.8.3.87-104","DOIUrl":"https://doi.org/10.17706/ijmse.2020.8.3.87-104","url":null,"abstract":"","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73735061","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}
Pub Date : 2020-09-01DOI: 10.17706/IJMSE.2020.8.3.58-73
J. Kamau, Ash Ahmed, J. Kangwa
Cement is the most utilised construction material and the second most consumed commodity in the world after water. It has been reported that the heavily energy-intensive processes that are involved in its production account for about 7 to 10 % of the total global anthropogenic carbon dioxide (CO2), which is the main cause of climate change; and are also expensive economically. Energy and cost efficiency can however be achieved by reducing on the amount of clinker, and in its place utilising pozzolans, which require less process heating and emit lower levels of CO2. This research aimed to provide an original contribution to the body of knowledge by investigating Anthill Soil (AHS) for pozzolanic properties. Cement was replaced in concrete with AHS by weight using 5% increments by weight, from 0 to 30% at the point of need. Durability was investigated using the water absorption and sulfate tests. Results of the chemical analysis by X-Ray Diffraction (XRD) showed that AHS contained the chemical composition required for pozzolans, and the compressive strengths achieved were for classes that are listed by standards as being durable and suitable for structural applications. The behaviour of AHS in workability, density, gain in compressive strength over time, water absorption and sulfate tests were also consistent with the characteristics of pozzolans, leading to a conclusion that it may be suitable for use as a pozzolan to improve the properties of concrete, reduce on the harmful effects of cement production to the environment and lower the overall cost of concrete, allowing for the construction of low cost buildings.
{"title":"Potential of Anthill Soil as a Pozzolan in Concrete","authors":"J. Kamau, Ash Ahmed, J. Kangwa","doi":"10.17706/IJMSE.2020.8.3.58-73","DOIUrl":"https://doi.org/10.17706/IJMSE.2020.8.3.58-73","url":null,"abstract":"Cement is the most utilised construction material and the second most consumed commodity in the world after water. It has been reported that the heavily energy-intensive processes that are involved in its production account for about 7 to 10 % of the total global anthropogenic carbon dioxide (CO2), which is the main cause of climate change; and are also expensive economically. Energy and cost efficiency can however be achieved by reducing on the amount of clinker, and in its place utilising pozzolans, which require less process heating and emit lower levels of CO2. This research aimed to provide an original contribution to the body of knowledge by investigating Anthill Soil (AHS) for pozzolanic properties. Cement was replaced in concrete with AHS by weight using 5% increments by weight, from 0 to 30% at the point of need. Durability was investigated using the water absorption and sulfate tests. Results of the chemical analysis by X-Ray Diffraction (XRD) showed that AHS contained the chemical composition required for pozzolans, and the compressive strengths achieved were for classes that are listed by standards as being durable and suitable for structural applications. The behaviour of AHS in workability, density, gain in compressive strength over time, water absorption and sulfate tests were also consistent with the characteristics of pozzolans, leading to a conclusion that it may be suitable for use as a pozzolan to improve the properties of concrete, reduce on the harmful effects of cement production to the environment and lower the overall cost of concrete, allowing for the construction of low cost buildings.","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75134272","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}
Pub Date : 2020-09-01DOI: 10.17706/ijmse.2020.8.3.81-86
{"title":"Corrosion Protection on High-Temperature Sulfidation of Fe-Base Alloys","authors":"","doi":"10.17706/ijmse.2020.8.3.81-86","DOIUrl":"https://doi.org/10.17706/ijmse.2020.8.3.81-86","url":null,"abstract":"","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85314816","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}
Pub Date : 2020-06-01DOI: 10.17706/ijmse.2020.8.2.32-37
{"title":"Waste Plastics to Liquid Fuels over Al-Impregnated Zeolite Beta Catalyst","authors":"","doi":"10.17706/ijmse.2020.8.2.32-37","DOIUrl":"https://doi.org/10.17706/ijmse.2020.8.2.32-37","url":null,"abstract":"","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74916965","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}
Pub Date : 2020-06-01DOI: 10.17706/ijmse.2020.8.2.52-57
Nattaya Suksai, Sirayu Chanpee, N. Kaewtrakulchai, S. Chutipaijit, M. Fuji, A. Eiad-ua
Water hyacinth (WHs), which is a crucial waste material from agriculture in Thailand. It consists of hemicellulose, cellulose and lignin that has a potential for carbon material production. In this research, carbon material was prepared from Water hyacinth via hydrothermal Carbonization (HTC) by study the effect of hydrothermal temperature 200 °C, reaction time (4-24 h) and using H3PO4 activation to develop porosity and surface area. The sample have been characterized chemical-physical properties of carbon nanoporous materials through a scanning electron microscope (SEM), fourier transformer Infrared spectroscopy (FT-IR), X-ray diffraction (XRD). The results revealed that carbon content of nanoporous carbon materials from water hyacinth were increased with higher HTC temperature and time. Performing HTC at 200 °C for 12 h and using H3PO4 activation catalyst shows porosity increased on char surface is the optimum condition to synthesis of precursor materials for good adsorbent.
{"title":"Synthesis of Nanoporous Carbon from Water Hyacinth via Hydrothermal Carbonization Process Assisted Acid Activation","authors":"Nattaya Suksai, Sirayu Chanpee, N. Kaewtrakulchai, S. Chutipaijit, M. Fuji, A. Eiad-ua","doi":"10.17706/ijmse.2020.8.2.52-57","DOIUrl":"https://doi.org/10.17706/ijmse.2020.8.2.52-57","url":null,"abstract":"Water hyacinth (WHs), which is a crucial waste material from agriculture in Thailand. It consists of hemicellulose, cellulose and lignin that has a potential for carbon material production. In this research, carbon material was prepared from Water hyacinth via hydrothermal Carbonization (HTC) by study the effect of hydrothermal temperature 200 °C, reaction time (4-24 h) and using H3PO4 activation to develop porosity and surface area. The sample have been characterized chemical-physical properties of carbon nanoporous materials through a scanning electron microscope (SEM), fourier transformer Infrared spectroscopy (FT-IR), X-ray diffraction (XRD). The results revealed that carbon content of nanoporous carbon materials from water hyacinth were increased with higher HTC temperature and time. Performing HTC at 200 °C for 12 h and using H3PO4 activation catalyst shows porosity increased on char surface is the optimum condition to synthesis of precursor materials for good adsorbent.","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81553741","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}
Pub Date : 2020-06-01DOI: 10.17706/ijmse.2020.8.2.45-51
Tatsuya Okobira, Dang-Trang Nguyen, K. Taguchi
: We developed a high-performance air-cathode for aluminum-air batteries based on carbon nanotube/activated carbon material loading in a carbon sheet substrate. By using activated carbon, which has a large surface area, the air-cathode performance can be improved. Carbon nanotube coating liquid plays the role of a binder to bind activated carbon powder to the substrate. The fabricated air-cathode was optimized to obtain the maximum power density. The maximum power density was 2.3mW/cm² obtained at 7.9mA/cm² current density, respectively.
{"title":"Optimization of CNT/Activated Carbon-Based Cathodes for High-Performance Aluminum-Air Batteries","authors":"Tatsuya Okobira, Dang-Trang Nguyen, K. Taguchi","doi":"10.17706/ijmse.2020.8.2.45-51","DOIUrl":"https://doi.org/10.17706/ijmse.2020.8.2.45-51","url":null,"abstract":": We developed a high-performance air-cathode for aluminum-air batteries based on carbon nanotube/activated carbon material loading in a carbon sheet substrate. By using activated carbon, which has a large surface area, the air-cathode performance can be improved. Carbon nanotube coating liquid plays the role of a binder to bind activated carbon powder to the substrate. The fabricated air-cathode was optimized to obtain the maximum power density. The maximum power density was 2.3mW/cm² obtained at 7.9mA/cm² current density, respectively.","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78066558","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}
Pub Date : 2020-06-01DOI: 10.17706/ijmse.2020.8.2.38-44
D. Gutiérrez, J. Casas
Thorough work is done on investigating the strain-rate dependent behaviour of Styrene Acrylonitrile foam under compression loads. Quasi-static and dynamic compression tests (10s up to 10s) were carried out on foams with three different nominal densities, and Finite Element Method (FEM) simulation was developed using a 3D foam volume reconstruction to compare with the experimental results. A remarkable improvement at the energy absorption capacity occurred in foams with higher density related to the cellular topology. On the other hand, simulation results show close correlation with the failure mechanism registered by micrographs.
{"title":"Assessment of Energy Absorption in Styrene Acrylonitrile Foams at Different Strain Rates","authors":"D. Gutiérrez, J. Casas","doi":"10.17706/ijmse.2020.8.2.38-44","DOIUrl":"https://doi.org/10.17706/ijmse.2020.8.2.38-44","url":null,"abstract":"Thorough work is done on investigating the strain-rate dependent behaviour of Styrene Acrylonitrile foam under compression loads. Quasi-static and dynamic compression tests (10s up to 10s) were carried out on foams with three different nominal densities, and Finite Element Method (FEM) simulation was developed using a 3D foam volume reconstruction to compare with the experimental results. A remarkable improvement at the energy absorption capacity occurred in foams with higher density related to the cellular topology. On the other hand, simulation results show close correlation with the failure mechanism registered by micrographs.","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76149170","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}
An artificial neural network (ANN) based models has been formulated for investigation and prediction of the relationship between various machining process parameters and the power consumption during turning of material such as En8, En1A, S.S.304, Brass and Aluminium. The input parameters of the ANN model are the cutting tool parameters, machine specification, work piece parameters, environmental parameters and the cutting process parameters. The output parameter of the model is power consumed during the turning process. The model consists of a three layered feed forward back propagation neural network. The network is trained with pairs of inputs/outputs database generated when machining of ferrous and nonferrous material. A very superior performance of the neural network, in terms of conformity with experimental data, was achieved. The model can be used for the analysis and prediction of the multifaceted relationship between input and output parameter. This paper presents the ANN model for predicting the power consumption performance measure in the machining process by considering the Artificial Neural Network (ANN) as the essential technique for measuring power consumption. Utilization of ANN-based modeling is also presented to show the required fundamental elements for predicting power consumption in the turning process. In order to investigate how competent the ANN technique is at estimating the prediction value for power consumption, a real machining experiment is performed in this study. In the experiment, more than 200 samples of data concerned with turning process using field data based approach of experimentation. It was found that the 13–10–1 network structure gave the best ANN model in predicting the power consumption value
{"title":"International Journal of Materials Science and Engineering","authors":"M. Phate, S. Toney","doi":"10.17706/ijmse","DOIUrl":"https://doi.org/10.17706/ijmse","url":null,"abstract":"An artificial neural network (ANN) based models has been formulated for investigation and prediction of the relationship between various machining process parameters and the power consumption during turning of material such as En8, En1A, S.S.304, Brass and Aluminium. The input parameters of the ANN model are the cutting tool parameters, machine specification, work piece parameters, environmental parameters and the cutting process parameters. The output parameter of the model is power consumed during the turning process. The model consists of a three layered feed forward back propagation neural network. The network is trained with pairs of inputs/outputs database generated when machining of ferrous and nonferrous material. A very superior performance of the neural network, in terms of conformity with experimental data, was achieved. The model can be used for the analysis and prediction of the multifaceted relationship between input and output parameter. This paper presents the ANN model for predicting the power consumption performance measure in the machining process by considering the Artificial Neural Network (ANN) as the essential technique for measuring power consumption. Utilization of ANN-based modeling is also presented to show the required fundamental elements for predicting power consumption in the turning process. In order to investigate how competent the ANN technique is at estimating the prediction value for power consumption, a real machining experiment is performed in this study. In the experiment, more than 200 samples of data concerned with turning process using field data based approach of experimentation. It was found that the 13–10–1 network structure gave the best ANN model in predicting the power consumption value","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84086558","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}
Pub Date : 2020-01-01DOI: 10.22271/27078221.2020.V1.I1A.10
Monoj Baruah, Anil Borah
{"title":"Processing and precipitation strengthening of 6xxx series aluminium alloys: A review","authors":"Monoj Baruah, Anil Borah","doi":"10.22271/27078221.2020.V1.I1A.10","DOIUrl":"https://doi.org/10.22271/27078221.2020.V1.I1A.10","url":null,"abstract":"","PeriodicalId":14103,"journal":{"name":"International Journal of Materials Science and Engineering","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80501966","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：