Pub Date : 2020-02-01DOI: 10.1109/ASET48392.2020.9171372
L. Al-Juboori, Ahmed A. A. Duroobi
A new technique for exchange data between Computer-Aided Design/Manufacturing (CAD/CAM) systems has been presented in this work. Where, a program designed using MATLAB environment has been developed to transfer these geometrical data and a technique to transfer geometrical curves to full descriptive surfaces using the UGS software as a CAM tool without any loss in their geometrical shape information also has been demonstrated, therefore the matrix of nth degree of the Bezier curves and B-spline curves and surfaces generation had been examined to use it in this work as an analyzed case to examine the suggested method and program script. It has been noticed through the implementation of the developed script and the simulation phase using the UGS system that this script can be applied to transform any free form surface profile shape from CAD module to CAM module without missing any kind of geometrical information in the final geometry of the profile, subsequently G-code for any free form geometry can be obtained. The current technique aligns conformity with the experimental result.
{"title":"CAD/CAM integration verification process based on data exchange method on free form surfaces","authors":"L. Al-Juboori, Ahmed A. A. Duroobi","doi":"10.1109/ASET48392.2020.9171372","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9171372","url":null,"abstract":"A new technique for exchange data between Computer-Aided Design/Manufacturing (CAD/CAM) systems has been presented in this work. Where, a program designed using MATLAB environment has been developed to transfer these geometrical data and a technique to transfer geometrical curves to full descriptive surfaces using the UGS software as a CAM tool without any loss in their geometrical shape information also has been demonstrated, therefore the matrix of nth degree of the Bezier curves and B-spline curves and surfaces generation had been examined to use it in this work as an analyzed case to examine the suggested method and program script. It has been noticed through the implementation of the developed script and the simulation phase using the UGS system that this script can be applied to transform any free form surface profile shape from CAD module to CAM module without missing any kind of geometrical information in the final geometry of the profile, subsequently G-code for any free form geometry can be obtained. The current technique aligns conformity with the experimental result.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123439327","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 : 2020-02-01DOI: 10.1109/ASET48392.2020.9118317
Munther A. Gdeisat, A. Desmal, Y. Moumouni, Z. Al-Aubaidy, A. Al Khodary, Asad Hindash, C. Wavegedara
A convolution neural network (CNN) uses kernels to filter applied images. These kernels learn their coefficients' values during the training process, thus they do not possess any centrosymmetry. Hence, the phase responses for these kernels are neither zero-phase nor linear-phase. This technique adds a group delay distortion to the filtered images. In this paper, we constrain the values of the kernels' coefficients to be centrosymmetric. This scheme guarantees the prevention of any distortion in the filtered images. In the proposed method, the CNN trains all the kernel coefficients as normal. Then every two-centrosymmetric coefficients are set to their average. This does not affect much the accuracy of the CNN. The proposed algorithm may be used to improve images generated using generative adversarial networks (GAN), autoencoders, image segmentation, and all other algorithms that generate images or video using CNN. This point still requires further study.
{"title":"Kernel Symmetry for Convolution Neural Networks","authors":"Munther A. Gdeisat, A. Desmal, Y. Moumouni, Z. Al-Aubaidy, A. Al Khodary, Asad Hindash, C. Wavegedara","doi":"10.1109/ASET48392.2020.9118317","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118317","url":null,"abstract":"A convolution neural network (CNN) uses kernels to filter applied images. These kernels learn their coefficients' values during the training process, thus they do not possess any centrosymmetry. Hence, the phase responses for these kernels are neither zero-phase nor linear-phase. This technique adds a group delay distortion to the filtered images. In this paper, we constrain the values of the kernels' coefficients to be centrosymmetric. This scheme guarantees the prevention of any distortion in the filtered images. In the proposed method, the CNN trains all the kernel coefficients as normal. Then every two-centrosymmetric coefficients are set to their average. This does not affect much the accuracy of the CNN. The proposed algorithm may be used to improve images generated using generative adversarial networks (GAN), autoencoders, image segmentation, and all other algorithms that generate images or video using CNN. This point still requires further study.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121971890","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 : 2020-02-01DOI: 10.1109/ASET48392.2020.9118394
Sara Sarrar, Ebru Gunister, S. Vukusic, P. Liatsis
Tactile sensors are devices that are able to sense physical properties through direct contact. In this paper, we investigate on material selection for tactile sensors that mainly uses conductivity information to infer deformation. Hence, flexible and conductive materials are required to allow deformation over complex 3D surfaces and to allow the flow of electric current. Conductive fabrics have gained interest in research as membranes in tactile sensors. The main advantages of employing fabric materials are an improvement in signal hysteresis and an increase in detection sensitivity through employing multi-layered fabric structures. However, this adds on the cost of fabrication and the complexity of the design. In this contribution, a technical review is provided on various types of membranes in the context of large contact area tactile sensors. Moreover, two commercially available silver-plated knitted fabrics coated with silicone and the other with nitrile rubber are investigated as single layered membranes. The experimental results demonstrate that both the weft and warp directions of the fabric and material coating have a significant effect on the materials' mechanical and electrical performance. The elastic modulus of the nitrile rubber coated fabric is in the range of 0.14 MPa and 0.30 MPa, while that of the silicone-coated is in the range of 1.36 MPa and 1.87 MPa respectively for the weft and warp directions.
{"title":"Materials Selection and Characterization of Fabric Membrane in Tactile Sensoring","authors":"Sara Sarrar, Ebru Gunister, S. Vukusic, P. Liatsis","doi":"10.1109/ASET48392.2020.9118394","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118394","url":null,"abstract":"Tactile sensors are devices that are able to sense physical properties through direct contact. In this paper, we investigate on material selection for tactile sensors that mainly uses conductivity information to infer deformation. Hence, flexible and conductive materials are required to allow deformation over complex 3D surfaces and to allow the flow of electric current. Conductive fabrics have gained interest in research as membranes in tactile sensors. The main advantages of employing fabric materials are an improvement in signal hysteresis and an increase in detection sensitivity through employing multi-layered fabric structures. However, this adds on the cost of fabrication and the complexity of the design. In this contribution, a technical review is provided on various types of membranes in the context of large contact area tactile sensors. Moreover, two commercially available silver-plated knitted fabrics coated with silicone and the other with nitrile rubber are investigated as single layered membranes. The experimental results demonstrate that both the weft and warp directions of the fabric and material coating have a significant effect on the materials' mechanical and electrical performance. The elastic modulus of the nitrile rubber coated fabric is in the range of 0.14 MPa and 0.30 MPa, while that of the silicone-coated is in the range of 1.36 MPa and 1.87 MPa respectively for the weft and warp directions.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124091319","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 : 2020-02-01DOI: 10.1109/aset48392.2020.9118278
A. Alami, Noaf Alblooki, M. Tawalbeh, Zainab Almerashi, Amna Alkharousi, T. Salameh
This work presents the design, manufacture and testing of a light vehicle powered by compressed air. The results for this phase of development focuses on matching the compressed air discharge with the demand cycle of the vehicle. The compressed air will discharge will drive an air turbine that is coupled with an electrical generator. The latter in turn drives an electric motor that provides power for the vehicle. The power requirements are articulated against resistive loads on the vehicle that arise from the expected operation cycle. The prototype was able to travel for 180 meters at around 3.5 km/h speed when the air pressure was a mere 6 bar. Further enhancements to the design are currently underway, to provide a direct mechanical load transmission to the wheels without using an electric motor, as well as using higher capacity pressure vessels.
{"title":"Compressed air for light vehicle propulsion","authors":"A. Alami, Noaf Alblooki, M. Tawalbeh, Zainab Almerashi, Amna Alkharousi, T. Salameh","doi":"10.1109/aset48392.2020.9118278","DOIUrl":"https://doi.org/10.1109/aset48392.2020.9118278","url":null,"abstract":"This work presents the design, manufacture and testing of a light vehicle powered by compressed air. The results for this phase of development focuses on matching the compressed air discharge with the demand cycle of the vehicle. The compressed air will discharge will drive an air turbine that is coupled with an electrical generator. The latter in turn drives an electric motor that provides power for the vehicle. The power requirements are articulated against resistive loads on the vehicle that arise from the expected operation cycle. The prototype was able to travel for 180 meters at around 3.5 km/h speed when the air pressure was a mere 6 bar. Further enhancements to the design are currently underway, to provide a direct mechanical load transmission to the wheels without using an electric motor, as well as using higher capacity pressure vessels.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128266854","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 : 2020-02-01DOI: 10.1109/ASET48392.2020.9118341
Abrar-Ul-Haq, Talal Bonny
A quantified RNA transcriptome is of particular interest in biomedical research as it can be for cancer diagnosis. Quantum algorithms can give exponential performance gains over their classical counterparts. In this paper, we implement a quantum clustering technique to classify the cells into different cancer types. To verify our implementation, we test it using the standard ‘gene expression cancer RNA-Seq’ dataset. The experimental results show that our algorithm achieves high accuracy of 94.8% (on average) in classifying the different types of cancer.
{"title":"Cancer Transcriptome Analysis with RNA-Seq Using Quantum K-means Clustering Algorithm","authors":"Abrar-Ul-Haq, Talal Bonny","doi":"10.1109/ASET48392.2020.9118341","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118341","url":null,"abstract":"A quantified RNA transcriptome is of particular interest in biomedical research as it can be for cancer diagnosis. Quantum algorithms can give exponential performance gains over their classical counterparts. In this paper, we implement a quantum clustering technique to classify the cells into different cancer types. To verify our implementation, we test it using the standard ‘gene expression cancer RNA-Seq’ dataset. The experimental results show that our algorithm achieves high accuracy of 94.8% (on average) in classifying the different types of cancer.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129673667","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 : 2020-02-01DOI: 10.1109/ASET48392.2020.9118391
Charith Silva, M. Saraee
The distribution network operators (DNO) are the companies which bring electricity from the national transmission network to local homes and businesses. The essential primary duty of any DNO is to provide uninterrupted electricity supply to their customers. So, having a deep understanding of network faults has always been principal importance for reliable and sustainable power supply. The purpose of this study is to discover the relationship between population density and low voltage (LV) faults causes in an electricity distribution network using machine learning classification models. The study aims to use different classification models and comparing the results. The results of this study should outline the ideal classification model to use in understanding the relationship between population density and LV faults causes. In this study, the correlation method has been used for feature selection to select the most suitable variables to build the classification models. It should also give more insight into how the data should be prepared before being input into a machine learning classification models. Correlation analysis has revealed the multifaceted relationships that exist among the variables in multivariate fault data. From this study results and analysis, the shows that there is a new relationship between local population density and fault causes which suggest fault causes has a strong relationship with population density. These findings may help DNOs in policy-making and network design. Also, this research may assist Smart City planning projects.
{"title":"Understanding the Relationship Between Population Density and Low Voltage Faults Causes in Electricity Distribution Network","authors":"Charith Silva, M. Saraee","doi":"10.1109/ASET48392.2020.9118391","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118391","url":null,"abstract":"The distribution network operators (DNO) are the companies which bring electricity from the national transmission network to local homes and businesses. The essential primary duty of any DNO is to provide uninterrupted electricity supply to their customers. So, having a deep understanding of network faults has always been principal importance for reliable and sustainable power supply. The purpose of this study is to discover the relationship between population density and low voltage (LV) faults causes in an electricity distribution network using machine learning classification models. The study aims to use different classification models and comparing the results. The results of this study should outline the ideal classification model to use in understanding the relationship between population density and LV faults causes. In this study, the correlation method has been used for feature selection to select the most suitable variables to build the classification models. It should also give more insight into how the data should be prepared before being input into a machine learning classification models. Correlation analysis has revealed the multifaceted relationships that exist among the variables in multivariate fault data. From this study results and analysis, the shows that there is a new relationship between local population density and fault causes which suggest fault causes has a strong relationship with population density. These findings may help DNOs in policy-making and network design. Also, this research may assist Smart City planning projects.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126319473","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 : 2020-02-01DOI: 10.1109/ASET48392.2020.9118228
R. D. Forrest, Zahid Shareef, Khaldoun Tarawneh
online testing was introduced for the Physics 1 course at the Higher Colleges of Technology; Fujairah Men's College in the Fall 2016 semester. The students wrote an online test 1 in Blackboard Learn and a paper-based test 2. The validity of the online testing was assessed by comparing the performance of students, relative to the other students in their section, for the paper-based and online tests. Analysis of the results did not show any measurable difference in relative student performance for the online test compared to the paper-based version. An online system-wide Physics 1 final exam for all the seventeen colleges in the Higher Colleges of Technology system was introduced in the Fall semester of 2018. The results for this final exam and those from the subsequent two semesters are shown and briefly discussed. These results indicate a general improvement in grades subsequent to the Fall 2018 semester. Current and future work is described.
{"title":"Comparing online and paper-based testing for physics courses at HCT, UAE","authors":"R. D. Forrest, Zahid Shareef, Khaldoun Tarawneh","doi":"10.1109/ASET48392.2020.9118228","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118228","url":null,"abstract":"online testing was introduced for the Physics 1 course at the Higher Colleges of Technology; Fujairah Men's College in the Fall 2016 semester. The students wrote an online test 1 in Blackboard Learn and a paper-based test 2. The validity of the online testing was assessed by comparing the performance of students, relative to the other students in their section, for the paper-based and online tests. Analysis of the results did not show any measurable difference in relative student performance for the online test compared to the paper-based version. An online system-wide Physics 1 final exam for all the seventeen colleges in the Higher Colleges of Technology system was introduced in the Fall semester of 2018. The results for this final exam and those from the subsequent two semesters are shown and briefly discussed. These results indicate a general improvement in grades subsequent to the Fall 2018 semester. Current and future work is described.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121673161","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 : 2020-02-01DOI: 10.1109/ASET48392.2020.9118357
Entesar Zawam Dalah, Hana Abdel Hamed Elshahawy, Asma Mohamed Abdi, H. Elmehdi, W. Zgallai
The aim of the present work is to assess the effect of window width and window level selection on feature size in a 2D displayed multimodality images. DICOM images of CT, MR and PET were retrieved and retrospectively analyzed using a local PACS system running an image manipulation software AGFA NX v2.0 that supports several windows for each image modality. The images analyzed were phantom based using standardized NEMA ICE body phantom that consist of six fillable variable spheres sizes. A NOVA t-test was used for statistical difference studies. Using bone and abdomen/ pelvis CT windows resulted in a sphere underestimation of up to 3 mm. While using T1 and T2 MRI windows yielded an underestimation of up to 3.5 mm especially in the small spheres. Significant spheres size differences were seen with PET windows shown an overestimation of up to 7 mm using CE equal and thermal windows. Improper selection of windowing while viewing 2D displayed images can yield considerable inconsistency leading to unreliable measurement.
{"title":"AGFA PACS software supported CT, MRI and PET windows impact on object appearances and size: phantom study","authors":"Entesar Zawam Dalah, Hana Abdel Hamed Elshahawy, Asma Mohamed Abdi, H. Elmehdi, W. Zgallai","doi":"10.1109/ASET48392.2020.9118357","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118357","url":null,"abstract":"The aim of the present work is to assess the effect of window width and window level selection on feature size in a 2D displayed multimodality images. DICOM images of CT, MR and PET were retrieved and retrospectively analyzed using a local PACS system running an image manipulation software AGFA NX v2.0 that supports several windows for each image modality. The images analyzed were phantom based using standardized NEMA ICE body phantom that consist of six fillable variable spheres sizes. A NOVA t-test was used for statistical difference studies. Using bone and abdomen/ pelvis CT windows resulted in a sphere underestimation of up to 3 mm. While using T1 and T2 MRI windows yielded an underestimation of up to 3.5 mm especially in the small spheres. Significant spheres size differences were seen with PET windows shown an overestimation of up to 7 mm using CE equal and thermal windows. Improper selection of windowing while viewing 2D displayed images can yield considerable inconsistency leading to unreliable measurement.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122496898","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 : 2020-02-01DOI: 10.1109/ASET48392.2020.9118346
Abdulqader Abdullah, S. Dol
This project focuses on studying the aerodynamic performance on dimpled airfoil for drones or UAVs propeller applications. The aim is to check if dimples will improve the efficiency of the structure by increasing lift to drag ratio and stall angle or decreasing drag force on the airfoil. The surface modification was done by considering the different arrangement and location of dimples at various Reynold numbers. Dimples help in reducing pressure drag when the airfoil is at larger angles of attack, as the angle of attack is increased, the wake formation starts to occur due to boundary layer separation. Dimple effects on the airfoil surface in same manner of what vortex generator does. Both methods aim to produce turbulent boundary layer in which wake area is reduced therefore reducing pressure drag. For the design process, ANSYS FLUENT was used to computationally investigate the effects of using dimples over the airfoil surface of NACA 2412. A comparative study was conducted between a normal airfoil (no dimples) and dimpled-surface airfoil, at different angles of attacks. It has been found that lift to drag ratio was increased by an improvement of 39.9%. It has been found that the flow separation on the NACA 2412 was delayed by the dimples effect. The critical angle of attack, which the stall occurs was also increased.
{"title":"Aerodynamic Investigation and Design of Dimpled-Surface Airfoil for UAV Propellers","authors":"Abdulqader Abdullah, S. Dol","doi":"10.1109/ASET48392.2020.9118346","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118346","url":null,"abstract":"This project focuses on studying the aerodynamic performance on dimpled airfoil for drones or UAVs propeller applications. The aim is to check if dimples will improve the efficiency of the structure by increasing lift to drag ratio and stall angle or decreasing drag force on the airfoil. The surface modification was done by considering the different arrangement and location of dimples at various Reynold numbers. Dimples help in reducing pressure drag when the airfoil is at larger angles of attack, as the angle of attack is increased, the wake formation starts to occur due to boundary layer separation. Dimple effects on the airfoil surface in same manner of what vortex generator does. Both methods aim to produce turbulent boundary layer in which wake area is reduced therefore reducing pressure drag. For the design process, ANSYS FLUENT was used to computationally investigate the effects of using dimples over the airfoil surface of NACA 2412. A comparative study was conducted between a normal airfoil (no dimples) and dimpled-surface airfoil, at different angles of attacks. It has been found that lift to drag ratio was increased by an improvement of 39.9%. It has been found that the flow separation on the NACA 2412 was delayed by the dimples effect. The critical angle of attack, which the stall occurs was also increased.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127684763","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 : 2020-02-01DOI: 10.1109/ASET48392.2020.9118349
Asarudheen Abdudeen, A. Mourad, J. Qudeiri, Aiman Ziout
Use of aluminum components has increased during the last decade due to the light weight requirements. With the intention to improve the strength, retaining the desirable properties of aluminium, particularly its lightness and corrosion resistance, many alloys have been developed. A390 is such an aluminum alloy, which is light weight and having good wear properties. A composite is a multiphase material and having better properties. A390 alloys and silicon carbide particulates were used to fabricate particulate reinforced aluminium metal matrix composites. Squeeze casting is a fabrication technique where solidification of liquid metal is promoted under applied hydrostatic pressure. In this work, A390- Silicon carbide composites of different weight fraction of silicon carbide were fabricated by squeeze casting and gravity casting through stir casting route. Squeeze castings were done at 50 MPa and 100 MPa squeeze pressures. Specimens of the composites were prepared and characterized through microstructural and wear analysis, tensile and hardness tests. The test results obtained for squeeze casting and gravity casting composites were compared and the effect of squeeze pressure was studied.
{"title":"Evaluation of Characteristics of A390 - SiCp Squeeze Cast and Gravity Cast Composites","authors":"Asarudheen Abdudeen, A. Mourad, J. Qudeiri, Aiman Ziout","doi":"10.1109/ASET48392.2020.9118349","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118349","url":null,"abstract":"Use of aluminum components has increased during the last decade due to the light weight requirements. With the intention to improve the strength, retaining the desirable properties of aluminium, particularly its lightness and corrosion resistance, many alloys have been developed. A390 is such an aluminum alloy, which is light weight and having good wear properties. A composite is a multiphase material and having better properties. A390 alloys and silicon carbide particulates were used to fabricate particulate reinforced aluminium metal matrix composites. Squeeze casting is a fabrication technique where solidification of liquid metal is promoted under applied hydrostatic pressure. In this work, A390- Silicon carbide composites of different weight fraction of silicon carbide were fabricated by squeeze casting and gravity casting through stir casting route. Squeeze castings were done at 50 MPa and 100 MPa squeeze pressures. Specimens of the composites were prepared and characterized through microstructural and wear analysis, tensile and hardness tests. The test results obtained for squeeze casting and gravity casting composites were compared and the effect of squeeze pressure was studied.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"53 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133437262","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：