Liyuan Wang, Jiaxi Liu, N. Lu, Zeng-chao Yang, G. He, Xiaoyu Li, Jianqiang Li, Jiangtao Li
Y2CaA14SiO12 garnet-type glass-ceramic was obtained by heat-treatment of the bulk glass with corresponding composition, which fabricated by aerodynamic levitation coupled with a laser heating system. The crystallization kinetics of the glass was investigated via Differential Scanning Calorimetry (DSC). The effects of heat-treatment temperature on the phase, microstructure, mechanical and optical properties of the Y2CaA14SiO12 garnet-type glass-ceramic were also systemically studied. The crystallization mechanism of this Y2CaA14SiO12 glass is three-dimensional growth followed with surface and inner nucleation. With the increasing of heat-treatment temperature, the density and hardness increased, while transparency declined as a result of rapid grain growth.
{"title":"Synthesis and Crystallization Kinetics of Y 2CaA1 4SiO 12 Garnet-Type Glass-Ceramic","authors":"Liyuan Wang, Jiaxi Liu, N. Lu, Zeng-chao Yang, G. He, Xiaoyu Li, Jianqiang Li, Jiangtao Li","doi":"10.2139/ssrn.3618732","DOIUrl":"https://doi.org/10.2139/ssrn.3618732","url":null,"abstract":"Y2CaA14SiO12 garnet-type glass-ceramic was obtained by heat-treatment of the bulk glass with corresponding composition, which fabricated by aerodynamic levitation coupled with a laser heating system. The crystallization kinetics of the glass was investigated via Differential Scanning Calorimetry (DSC). The effects of heat-treatment temperature on the phase, microstructure, mechanical and optical properties of the Y2CaA14SiO12 garnet-type glass-ceramic were also systemically studied. The crystallization mechanism of this Y2CaA14SiO12 glass is three-dimensional growth followed with surface and inner nucleation. With the increasing of heat-treatment temperature, the density and hardness increased, while transparency declined as a result of rapid grain growth.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76404407","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}
Equations for the transformed volume fraction of a spherical particle with nucleation on its surface, both nonisothermal and isothermal, are derived in the framework of Kolmogorov method adapted for this problem. Characteristic parameters governing the transformation kinetics are determined; the latter is studied with particular emphasis on the Avrami exponent temporal behavior. It is shown that the surface-nucleated transformation qualitatively differs from the bulk-nucleated one at large values of the characteristic parameters due to the one-dimensional radial growth of the new phase occurring after the complete transformation of the surface itself at the early stage of the process. This effect also manifests itself in the considered ensemble of size-distributed particles and in the grain-boundary nucleated transformations. The logarithmic normal distribution inherent for the particles obtained by grinding is employed for numerical calculations and shown to stretch temporally the volume-fraction and Avrami-exponent dependences for the ensemble of identical particles. A new model for grain-boundary nucleated transformations alternative to the Cahn model of random planes is offered; it is based on the ensemble of size-distributed spherical particles with the possibility for a growing nucleus to cross grain boundaries. The kinetics of this process is shown to be governed by the same characteristic parameter, as for a single particle, and qualitatively differs from the Cahn-model one. In particular, the logarithmic volume-fraction plot at large values of the governing parameter ends by a characteristic bend observed on experimental curves for the crystallization of bulk metallic glasses. This peculiarity together with the form of the plot as a whole directly indicates to the grain (polycluster) structure of metallic glasses and nucleation at intercluster boundaries.
{"title":"Kinetics of the Surface-Nucleated Transformation of Spherical Particles and New Model for Grain-Boundary Nucleated Transformations","authors":"N. V. Alekseechkin","doi":"10.2139/ssrn.3628017","DOIUrl":"https://doi.org/10.2139/ssrn.3628017","url":null,"abstract":"Equations for the transformed volume fraction of a spherical particle with nucleation on its surface, both nonisothermal and isothermal, are derived in the framework of Kolmogorov method adapted for this problem. Characteristic parameters governing the transformation kinetics are determined; the latter is studied with particular emphasis on the Avrami exponent temporal behavior. It is shown that the surface-nucleated transformation qualitatively differs from the bulk-nucleated one at large values of the characteristic parameters due to the one-dimensional radial growth of the new phase occurring after the complete transformation of the surface itself at the early stage of the process. This effect also manifests itself in the considered ensemble of size-distributed particles and in the grain-boundary nucleated transformations. The logarithmic normal distribution inherent for the particles obtained by grinding is employed for numerical calculations and shown to stretch temporally the volume-fraction and Avrami-exponent dependences for the ensemble of identical particles. A new model for grain-boundary nucleated transformations alternative to the Cahn model of random planes is offered; it is based on the ensemble of size-distributed spherical particles with the possibility for a growing nucleus to cross grain boundaries. The kinetics of this process is shown to be governed by the same characteristic parameter, as for a single particle, and qualitatively differs from the Cahn-model one. In particular, the logarithmic volume-fraction plot at large values of the governing parameter ends by a characteristic bend observed on experimental curves for the crystallization of bulk metallic glasses. This peculiarity together with the form of the plot as a whole directly indicates to the grain (polycluster) structure of metallic glasses and nucleation at intercluster boundaries.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73308905","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}
T. Zhu, Z. Zhong, M. Tokitani, X. Ren, B.Y. Wang, X. Cao, Q. Xu
This study reports the effect of the hydrogen's position in the lattice on the tensile properties of FeCrNiMnCo high-entropy alloy. We reveal that the hydrogen at the interface is the main factor affecting the mechanical properties of the material. We found that hydrogen alloying with a proper concentration makes the alloy resistant to hydrogen embrittlement and improves the strength and ductility of the material. This beneficial effect is positively correlated with the hydrogen concentration at the interface of the alloy, with hydrogen promoting the formation of nanotwins, which are excessively compensatory to the surface cracks introduced by the hydrogen.
{"title":"Influence of Hydrogen at the Interface on Tensile Properties of Equiatomic FeCrNiMnCo High-Entropy Alloy","authors":"T. Zhu, Z. Zhong, M. Tokitani, X. Ren, B.Y. Wang, X. Cao, Q. Xu","doi":"10.2139/ssrn.3606820","DOIUrl":"https://doi.org/10.2139/ssrn.3606820","url":null,"abstract":"This study reports the effect of the hydrogen's position in the lattice on the tensile properties of FeCrNiMnCo high-entropy alloy. We reveal that the hydrogen at the interface is the main factor affecting the mechanical properties of the material. We found that hydrogen alloying with a proper concentration makes the alloy resistant to hydrogen embrittlement and improves the strength and ductility of the material. This beneficial effect is positively correlated with the hydrogen concentration at the interface of the alloy, with hydrogen promoting the formation of nanotwins, which are excessively compensatory to the surface cracks introduced by the hydrogen.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"147 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73282395","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}
Anup V. Deshmukh, Akshay Chavan, Rohit Marathe, Prof. Mrs. Pooja Shinde
Smart glasses demonstrated to be one of the advanced processing gadgets that unit the people and machines. As of late, it is seen that smart glasses have been utilized in the medical and gaming applications. Nonetheless, the highlights of smart glasses can contribute to its administrations in different fields as well. In this paper, a study is carried out to investigate the conceivable use of smart glasses in estimating readings inside a live electrical board, the thing that is inconvenient, and even risky on occasion, is turning away from your hands to peruse your multimeter. Since estimating high AC voltage utilizing conventional digital multimeter is very dangerous as it could prompt genuine mishaps. This paper represents a wearable wireless device so that the user can see readings and this wearable device is the smart glasses. While utilizing these glasses users don’t need to take a gander at DMM show since readings will be shown on smart glasses. Here we have utilized the LiPo battery for power supply to microcontroller. OLED show is utilized for showing the voltage value we estimated. This OLED show is interfaced to the controller utilizing SPI. With the assistance of Bluetooth, we have made this glass wireless so the measured voltage will show up on OLED display.
{"title":"Smart Data Glasses For Multimeter","authors":"Anup V. Deshmukh, Akshay Chavan, Rohit Marathe, Prof. Mrs. Pooja Shinde","doi":"10.2139/ssrn.3645375","DOIUrl":"https://doi.org/10.2139/ssrn.3645375","url":null,"abstract":"Smart glasses demonstrated to be one of the advanced processing gadgets that unit the people and machines. As of late, it is seen that smart glasses have been utilized in the medical and gaming applications. Nonetheless, the highlights of smart glasses can contribute to its administrations in different fields as well. In this paper, a study is carried out to investigate the conceivable use of smart glasses in estimating readings inside a live electrical board, the thing that is inconvenient, and even risky on occasion, is turning away from your hands to peruse your multimeter. Since estimating high AC voltage utilizing conventional digital multimeter is very dangerous as it could prompt genuine mishaps. This paper represents a wearable wireless device so that the user can see readings and this wearable device is the smart glasses. While utilizing these glasses users don’t need to take a gander at DMM show since readings will be shown on smart glasses. Here we have utilized the LiPo battery for power supply to microcontroller. OLED show is utilized for showing the voltage value we estimated. This OLED show is interfaced to the controller utilizing SPI. With the assistance of Bluetooth, we have made this glass wireless so the measured voltage will show up on OLED display.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89115409","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}
T. Neuhauser, G. Tinti, H. Leiste, Nicola Casati, Michael Stüber, K. Woll
Abstract Self-sustaining runaway reactions in reactive multilayers exhibit heat-up with over 106 K/s to temperatures of higher than 1000 °C, which defines unprecedented kinetic regimes for metallurgical phase transformations. The latter allows for developing alternative concepts for microstructure design. In order to explore the phase transformations in these kinetic regimes, we combine nanocalorimetry with time-resolved synchrotron X-ray diffraction. Nanocalorimetry allows us to perform thermal analysis of ignition as well as the reaction runaway and to develop necessary and mandatory quantitative criterions for ignition. In order to trace the temporal phase evolution, we use time-resolved synchrotron X-ray diffraction. We heat the Al/Ni multilayers with 5000 K/s and find that Ni starts to diffuse into the Al layer at 271 °C. Ignition occurs, dependent on the bilayer thickness, at about 400 °C in the solid state and atomic diffusion is revealed as the dominating mechanism. During the runaway, samples heat up in four stages with maximal 106 K/s to 1100 °C. Ni2Al3 is the first phase to form which starts to nucleate once Al melts. The majority of the intermetallic phase grows after the runaway reaction in the fourth stage and reaches its maximum during cooling. This trend of the temporal phase evolution eventually enables us to propose a mechanism exhibiting conceptual similarities with the exothermic dissolution mechanism recently suggested for self-sustaining reaction fronts in Al/Ni multilayers.
{"title":"Analysis of the Reaction Runaway in Al/Ni Multilayers with Combined Nanocalorimetry and Time-Resolved X-Ray Diffraction","authors":"T. Neuhauser, G. Tinti, H. Leiste, Nicola Casati, Michael Stüber, K. Woll","doi":"10.2139/ssrn.3581342","DOIUrl":"https://doi.org/10.2139/ssrn.3581342","url":null,"abstract":"Abstract Self-sustaining runaway reactions in reactive multilayers exhibit heat-up with over 106 K/s to temperatures of higher than 1000 °C, which defines unprecedented kinetic regimes for metallurgical phase transformations. The latter allows for developing alternative concepts for microstructure design. In order to explore the phase transformations in these kinetic regimes, we combine nanocalorimetry with time-resolved synchrotron X-ray diffraction. Nanocalorimetry allows us to perform thermal analysis of ignition as well as the reaction runaway and to develop necessary and mandatory quantitative criterions for ignition. In order to trace the temporal phase evolution, we use time-resolved synchrotron X-ray diffraction. We heat the Al/Ni multilayers with 5000 K/s and find that Ni starts to diffuse into the Al layer at 271 °C. Ignition occurs, dependent on the bilayer thickness, at about 400 °C in the solid state and atomic diffusion is revealed as the dominating mechanism. During the runaway, samples heat up in four stages with maximal 106 K/s to 1100 °C. Ni2Al3 is the first phase to form which starts to nucleate once Al melts. The majority of the intermetallic phase grows after the runaway reaction in the fourth stage and reaches its maximum during cooling. This trend of the temporal phase evolution eventually enables us to propose a mechanism exhibiting conceptual similarities with the exothermic dissolution mechanism recently suggested for self-sustaining reaction fronts in Al/Ni multilayers.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73081286","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}
Abstract Optical nano multilayers (NMs) are promising candidates for durable transparent multifunctional coatings, where the contributions of interfaces and high transparency configurations have yet to be explored. To address this, high transparency NMs (%T380-1100nm≈94–99%) were synthesized by magnetron sputtering, and the effects of crystalline/amorphous (AlN/SiO2, AlN/Al2O3) and amorphous/amorphous (TiO2/SiO2) interfaces were characterized by spectrophotometry, transmission electron microscopy, and nanoindentation. We demonstrate that tuning layer configurations for improved transmittance resulted in substantial variations in microstructure and multifunctional film properties. Overall, this work presents a methodology for evaluating the structure-properties relationship in optical NMs in the context of interface character and layer microstructure.
{"title":"Synthesis and Characterization of Optically Transparent Ceramic Crystalline/Amorphous and Amorphous/Amorphous Multilayers","authors":"Chelsea D. Appleget, A. Hodge","doi":"10.2139/ssrn.3603425","DOIUrl":"https://doi.org/10.2139/ssrn.3603425","url":null,"abstract":"Abstract Optical nano multilayers (NMs) are promising candidates for durable transparent multifunctional coatings, where the contributions of interfaces and high transparency configurations have yet to be explored. To address this, high transparency NMs (%T380-1100nm≈94–99%) were synthesized by magnetron sputtering, and the effects of crystalline/amorphous (AlN/SiO2, AlN/Al2O3) and amorphous/amorphous (TiO2/SiO2) interfaces were characterized by spectrophotometry, transmission electron microscopy, and nanoindentation. We demonstrate that tuning layer configurations for improved transmittance resulted in substantial variations in microstructure and multifunctional film properties. Overall, this work presents a methodology for evaluating the structure-properties relationship in optical NMs in the context of interface character and layer microstructure.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78720038","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}
Qiyang Tan, Jingqi Zhang, Qiang Sun, Z. Fan, Gan Li, Yu Yin, Yingang Liu, Mingxing Zhang
Abstract Considerable studies on metal selective laser melting (SLM) have proved the necessity to refine microstructure parts fabricated by SLM in order to eliminate property anisotropy, hot-tearing and to increase the SLM-processability. In the present work, Ti nanoparticles, at the first time, were discovered to be an extremely effective inoculant for an SLMed 2024 aluminium alloy. 0.7 wt% addition of Ti nanoparticles was capable of substantially eliminating the hot-tearing cracks and columnar structure, and refining the grains in the SLMed 2024 alloy in a broad processing window. The substantial grain refinement in the Ti-inoculated 2024 alloy was attributed to the in-situ formation of Al3Ti nanoparticles with a L12 ordered structure, which formed a coherent interface with Al matrix and therefore significantly promoted the heterogeneous nucleation of the α-Al during solidification of melt pools in the SLM process. After a conventional T6 heat treatment, this SLMed alloy exhibited a superior balance of strength and ductility (tensile strength was up to 432 ± 20 MPa and elongation of 10 ± 0.8%), which was comparable to its wrought counterpart. This work can be considered as a breakthrough in research of fabricating high-strength aluminium alloys using SLM.
{"title":"Inoculation Treatment of an Additively Manufactured 2024 Aluminium Alloy with Titanium Nanoparticles","authors":"Qiyang Tan, Jingqi Zhang, Qiang Sun, Z. Fan, Gan Li, Yu Yin, Yingang Liu, Mingxing Zhang","doi":"10.2139/ssrn.3592041","DOIUrl":"https://doi.org/10.2139/ssrn.3592041","url":null,"abstract":"Abstract Considerable studies on metal selective laser melting (SLM) have proved the necessity to refine microstructure parts fabricated by SLM in order to eliminate property anisotropy, hot-tearing and to increase the SLM-processability. In the present work, Ti nanoparticles, at the first time, were discovered to be an extremely effective inoculant for an SLMed 2024 aluminium alloy. 0.7 wt% addition of Ti nanoparticles was capable of substantially eliminating the hot-tearing cracks and columnar structure, and refining the grains in the SLMed 2024 alloy in a broad processing window. The substantial grain refinement in the Ti-inoculated 2024 alloy was attributed to the in-situ formation of Al3Ti nanoparticles with a L12 ordered structure, which formed a coherent interface with Al matrix and therefore significantly promoted the heterogeneous nucleation of the α-Al during solidification of melt pools in the SLM process. After a conventional T6 heat treatment, this SLMed alloy exhibited a superior balance of strength and ductility (tensile strength was up to 432 ± 20 MPa and elongation of 10 ± 0.8%), which was comparable to its wrought counterpart. This work can be considered as a breakthrough in research of fabricating high-strength aluminium alloys using SLM.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82027491","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}
C. Parkin, M. Moorehead, M. Elbakhshwan, A. Couet, K. Sridharan, Wei-Ying Chen, Meimei Li, Lingfeng He
This study characterizes the microstructural evolution of single-phase complex concentrated solid-solution alloy (CSA) compositions under heavy ion irradiation with the goal of evaluating mechanisms for CSA radiation tolerance in advanced fission systems. Three such alloys, Cr18Fe27Mn27Ni28, Cr15Fe35Mn15Ni35, and equimolar NbTaTiV, along with reference materials (pure Ni and E90 for the CrFeMnNi family and pure V for NbTaTiV) were irradiated at 50 K and 773 K with 1 MeV Kr++ ions to various levels of dpa using in-situ TEM. Cryogenic irradiation resulted in small defect clusters and faulted dislocation loops as large as 12 nm in FCC CSAs. With thermal diffusion suppressed at cryogenic temperatures, defect densities were lower in all CSAs than in their less compositionally complex reference materials indicating that point defect accumulation is reduced during the displacement cascade stage. High temperature irradiation of the two FCC CSA resulted in the formation of interstitial dislocation loops which by 2 dpa grew to an average size of 27 nm in Cr18Fe27Mn27Ni28 and 10 nm in Cr15Fe35Mn15Ni35. This difference in loop growth kinetics was attributed to the difference in Mn-content due to its effect on the nucleation rate by increasing vacancy mobility or reducing the stacking-fault energy.
{"title":"In Situ Microstructural Evolution in Fcc and Bcc Complex Concentrated Solid-Solution Alloys Under Heavy Ion Irradiation","authors":"C. Parkin, M. Moorehead, M. Elbakhshwan, A. Couet, K. Sridharan, Wei-Ying Chen, Meimei Li, Lingfeng He","doi":"10.2139/ssrn.3591845","DOIUrl":"https://doi.org/10.2139/ssrn.3591845","url":null,"abstract":"This study characterizes the microstructural evolution of single-phase complex concentrated solid-solution alloy (CSA) compositions under heavy ion irradiation with the goal of evaluating mechanisms for CSA radiation tolerance in advanced fission systems. Three such alloys, Cr18Fe27Mn27Ni28, Cr15Fe35Mn15Ni35, and equimolar NbTaTiV, along with reference materials (pure Ni and E90 for the CrFeMnNi family and pure V for NbTaTiV) were irradiated at 50 K and 773 K with 1 MeV Kr++ ions to various levels of dpa using in-situ TEM. Cryogenic irradiation resulted in small defect clusters and faulted dislocation loops as large as 12 nm in FCC CSAs. With thermal diffusion suppressed at cryogenic temperatures, defect densities were lower in all CSAs than in their less compositionally complex reference materials indicating that point defect accumulation is reduced during the displacement cascade stage. High temperature irradiation of the two FCC CSA resulted in the formation of interstitial dislocation loops which by 2 dpa grew to an average size of 27 nm in Cr18Fe27Mn27Ni28 and 10 nm in Cr15Fe35Mn15Ni35. This difference in loop growth kinetics was attributed to the difference in Mn-content due to its effect on the nucleation rate by increasing vacancy mobility or reducing the stacking-fault energy.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"104 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76113856","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}
The need of accurate wind turbine power curve modelling is essential as it provides great insight on the performance of the power system and ideal estimate of generation of power by turbines. However, presence of non linear relationship between output power of turbine and its primary and secondary parameters imposes restrictions to predict exact power generated. In this work wind power curve modelling is accomplished using different robust linear techniques that reduces the effects of outliers and provides precise results in terms of power generation. Mean Absolute Error(MAE), Root Mean Square Error(RMSE), and R^2 score were used as a measure of approximation method accuracy. Since above metrics doesn't provide any information about fitted model insights like overfiiting and underfitting, so bias and variance are considered as the two important aspects that clearly assesses model complexity. By decomposing the MSE into bias and variance a clear insight about model structure is obtained with a potential way with regard to which error component is likely to contribute more degradation of model performance.
{"title":"Wind Turbine Power Curve Modelling using Robust Regression Techniques","authors":"Neel Pandey","doi":"10.2139/ssrn.3597161","DOIUrl":"https://doi.org/10.2139/ssrn.3597161","url":null,"abstract":"The need of accurate wind turbine power curve modelling is essential as it provides great insight on the performance of the power system and ideal estimate of generation of power by turbines. However, presence of non linear relationship between output power of turbine and its primary and secondary parameters imposes restrictions to predict exact power generated. In this work wind power curve modelling is accomplished using different robust linear techniques that reduces the effects of outliers and provides precise results in terms of power generation. Mean Absolute Error(MAE), Root Mean Square Error(RMSE), and R^2 score were used as a measure of approximation method accuracy. Since above metrics doesn't provide any information about fitted model insights like overfiiting and underfitting, so bias and variance are considered as the two important aspects that clearly assesses model complexity. By decomposing the MSE into bias and variance a clear insight about model structure is obtained with a potential way with regard to which error component is likely to contribute more degradation of model performance.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"109 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85694314","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}
Interpreting images spatially is a daunting task which is achieved by detecting corners and features.The most important task of detecting features is achieved by Harris Corner Algorithm. The algorithmis not robust to different scale of the same image. The algorithm may detect corner but when theimage is zoomed in, the corner may appear as ridges. We use the corners detected from HarrisCorner algorithm and treat these as key points to pass into Scale Invariant Feature Transform (SIFT)algorithm. The SIFT algorithm extracts descriptor vector of dimension 128 X 1 from these cornersand can be used to find similarity between different images. This process is quite robust to noise,intensity, scale and occlusion and is used for matching images from a database of descriptors. Wehave investigated both the algorithms in this paper and made a modified version of Harris Corneralgorithm by performing different kind of thresholding, both of them gave a little different result.
图像的空间解释是一项艰巨的任务，它通过检测角点和特征来实现。最重要的特征检测任务是由Harris Corner算法完成的。该算法对同一幅图像的不同尺度具有较差的鲁棒性。该算法可以检测到角落，但当图像放大时，角落可能会出现山脊。我们利用HarrisCorner算法检测到的角点作为关键点，传递到尺度不变特征变换(SIFT)算法中。SIFT算法从这些角提取维度为128 X 1的描述子向量，用于寻找不同图像之间的相似性。这个过程对噪声、强度、尺度和遮挡都有很强的鲁棒性，并用于从描述符数据库中匹配图像。本文对这两种算法进行了研究，并通过不同的阈值分割方法对Harris corner算法进行了改进，两者的结果略有不同。
{"title":"Detecting Features via Modified Harris Corners and Matching Them through SIFT","authors":"Jimut Bahan Pal","doi":"10.2139/ssrn.3619887","DOIUrl":"https://doi.org/10.2139/ssrn.3619887","url":null,"abstract":"Interpreting images spatially is a daunting task which is achieved by detecting corners and features.The most important task of detecting features is achieved by Harris Corner Algorithm. The algorithmis not robust to different scale of the same image. The algorithm may detect corner but when theimage is zoomed in, the corner may appear as ridges. We use the corners detected from HarrisCorner algorithm and treat these as key points to pass into Scale Invariant Feature Transform (SIFT)algorithm. The SIFT algorithm extracts descriptor vector of dimension 128 X 1 from these cornersand can be used to find similarity between different images. This process is quite robust to noise,intensity, scale and occlusion and is used for matching images from a database of descriptors. Wehave investigated both the algorithms in this paper and made a modified version of Harris Corneralgorithm by performing different kind of thresholding, both of them gave a little different result.","PeriodicalId":18255,"journal":{"name":"MatSciRN: Process & Device Modeling (Topic)","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75237535","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}
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