Pub Date : 2023-12-28DOI: 10.1142/s0217979224400265
Se-Yoon Kim, Sanjay Kumar, Dong-Wook Hwang, Yun-Hae Kim
This study investigates the influence of extreme environmental conditions on the fracture toughness of halloysite nanotube (HNT)-reinforced carbon fiber-reinforced polymer (CFRP) composites. The focus is on the impact of exposure to high humidity and its effects on the mechanical properties of the composites. The study reveals that exposure to high humidity enhances the fracture toughness of HNT-modified CFRP composites, attributed to the entrapped moisture between HNTs and the polymer matrix. This phenomenon enhances crack bridging and contributes to improved mechanical properties. Furthermore, the HNT-modified composites exhibit superior environmental degradation resistance compared to unmodified composites, demonstrating the potential of HNTs as reinforcement for advanced composite materials. The investigation underscores the significance of considering environmental factors in nanoparticle-reinforced composite design and applications, paving the way for the development of durable, high-performance materials capable of withstanding extreme conditions. The findings emphasize the need for continued research to enhance the durability and reliability of such composites, thereby offering sustainable solutions across a range of applications. This study contributes valuable insights towards the design and optimization of fracture-resistant composite materials for demanding environments.
{"title":"Investigating the impact of extreme environments on the interlaminar performance of nanoparticle-reinforced carbon fiber composites","authors":"Se-Yoon Kim, Sanjay Kumar, Dong-Wook Hwang, Yun-Hae Kim","doi":"10.1142/s0217979224400265","DOIUrl":"https://doi.org/10.1142/s0217979224400265","url":null,"abstract":"This study investigates the influence of extreme environmental conditions on the fracture toughness of halloysite nanotube (HNT)-reinforced carbon fiber-reinforced polymer (CFRP) composites. The focus is on the impact of exposure to high humidity and its effects on the mechanical properties of the composites. The study reveals that exposure to high humidity enhances the fracture toughness of HNT-modified CFRP composites, attributed to the entrapped moisture between HNTs and the polymer matrix. This phenomenon enhances crack bridging and contributes to improved mechanical properties. Furthermore, the HNT-modified composites exhibit superior environmental degradation resistance compared to unmodified composites, demonstrating the potential of HNTs as reinforcement for advanced composite materials. The investigation underscores the significance of considering environmental factors in nanoparticle-reinforced composite design and applications, paving the way for the development of durable, high-performance materials capable of withstanding extreme conditions. The findings emphasize the need for continued research to enhance the durability and reliability of such composites, thereby offering sustainable solutions across a range of applications. This study contributes valuable insights towards the design and optimization of fracture-resistant composite materials for demanding environments.","PeriodicalId":509298,"journal":{"name":"International Journal of Modern Physics B","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139148932","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 : 2023-12-27DOI: 10.1142/s0217979224504137
Zhi Li, Zhen Zhao
The metal-doped aluminum nitrides have attracted special attention as new technology-related materials owing to their combination of fullerene-like and metallic properties. The structure, electronic and magnetic properties of the TM@Al[Formula: see text]N[Formula: see text] clusters have been investigated by using first principles. The results indicate that the V@Al[Formula: see text]N[Formula: see text], Ni@Al[Formula: see text]N[Formula: see text], Zr@Al[Formula: see text]N[Formula: see text], Rh@Al[Formula: see text]N[Formula: see text], Ta@Al[Formula: see text]N[Formula: see text] and Pt@Al[Formula: see text]N[Formula: see text] clusters display more structural stability than their neighbors. The Sc@Al[Formula: see text]N[Formula: see text], V@Al[Formula: see text]N[Formula: see text], Mn@Al[Formula: see text]N[Formula: see text], Zn@Al[Formula: see text]N[Formula: see text], Y@Al[Formula: see text]N[Formula: see text], Nb@Al[Formula: see text]N[Formula: see text], Tc@Al[Formula: see text]N[Formula: see text], Ag@Al[Formula: see text]N[Formula: see text], Lu@Al[Formula: see text]N[Formula: see text], W@Al[Formula: see text]N[Formula: see text] and Hg@Al[Formula: see text]N[Formula: see text] clusters are more dynamically stable than their neighbors. The amount of charge transfer between the TM (TM=Ti, Y and Os) atoms and Al[Formula: see text]N[Formula: see text] clusters is the most. The maximum spin densities (3.025 [Formula: see text], 2.779 [Formula: see text] and 3.231 [Formula: see text]) of the TM@Al[Formula: see text]N[Formula: see text] clusters occur at the subgroup VIIB TM@Al[Formula: see text]N[Formula: see text] clusters.
{"title":"Structure, electronic and magnetic properties of the Al12N12 clusters encapsulated with transition metals","authors":"Zhi Li, Zhen Zhao","doi":"10.1142/s0217979224504137","DOIUrl":"https://doi.org/10.1142/s0217979224504137","url":null,"abstract":"The metal-doped aluminum nitrides have attracted special attention as new technology-related materials owing to their combination of fullerene-like and metallic properties. The structure, electronic and magnetic properties of the TM@Al[Formula: see text]N[Formula: see text] clusters have been investigated by using first principles. The results indicate that the V@Al[Formula: see text]N[Formula: see text], Ni@Al[Formula: see text]N[Formula: see text], Zr@Al[Formula: see text]N[Formula: see text], Rh@Al[Formula: see text]N[Formula: see text], Ta@Al[Formula: see text]N[Formula: see text] and Pt@Al[Formula: see text]N[Formula: see text] clusters display more structural stability than their neighbors. The Sc@Al[Formula: see text]N[Formula: see text], V@Al[Formula: see text]N[Formula: see text], Mn@Al[Formula: see text]N[Formula: see text], Zn@Al[Formula: see text]N[Formula: see text], Y@Al[Formula: see text]N[Formula: see text], Nb@Al[Formula: see text]N[Formula: see text], Tc@Al[Formula: see text]N[Formula: see text], Ag@Al[Formula: see text]N[Formula: see text], Lu@Al[Formula: see text]N[Formula: see text], W@Al[Formula: see text]N[Formula: see text] and Hg@Al[Formula: see text]N[Formula: see text] clusters are more dynamically stable than their neighbors. The amount of charge transfer between the TM (TM=Ti, Y and Os) atoms and Al[Formula: see text]N[Formula: see text] clusters is the most. The maximum spin densities (3.025 [Formula: see text], 2.779 [Formula: see text] and 3.231 [Formula: see text]) of the TM@Al[Formula: see text]N[Formula: see text] clusters occur at the subgroup VIIB TM@Al[Formula: see text]N[Formula: see text] clusters.","PeriodicalId":509298,"journal":{"name":"International Journal of Modern Physics B","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139153981","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 : 2023-11-24DOI: 10.1142/s0217979224400034
C. S. Sumathi, R. Ravi Kumar, V. Anandhi
The stability of the Tracking Wheel Mobile Robot with Teleoperation System and Path Following Method is discussed in this study. The path is to be tracked by the host computer which is the master robot. The response from the robot is captured on camera. As the slave robot approaches the target position, the camera captures the response robot’s position and as well as moving trajectory. The host computer receives all of the images, enabling mobile robot deviation recoveries. The slave robot can use teleoperation to follow the sensor based on the decisions made by the master robot. The Lyapunov function in the Fuzzy Neural Network (FNN) control structure assures the system’s stability and satisfactory performance. It supports a mobile robot’s ability to adhere to a reference trajectory without deviating from it. Finally, the outcome of the simulation demonstrates that our controller is capable of tracking different environmental conditions and maintaining stability.
{"title":"Stability of tracking wheel mobile robot with teleoperation fuzzy neural network control system","authors":"C. S. Sumathi, R. Ravi Kumar, V. Anandhi","doi":"10.1142/s0217979224400034","DOIUrl":"https://doi.org/10.1142/s0217979224400034","url":null,"abstract":"The stability of the Tracking Wheel Mobile Robot with Teleoperation System and Path Following Method is discussed in this study. The path is to be tracked by the host computer which is the master robot. The response from the robot is captured on camera. As the slave robot approaches the target position, the camera captures the response robot’s position and as well as moving trajectory. The host computer receives all of the images, enabling mobile robot deviation recoveries. The slave robot can use teleoperation to follow the sensor based on the decisions made by the master robot. The Lyapunov function in the Fuzzy Neural Network (FNN) control structure assures the system’s stability and satisfactory performance. It supports a mobile robot’s ability to adhere to a reference trajectory without deviating from it. Finally, the outcome of the simulation demonstrates that our controller is capable of tracking different environmental conditions and maintaining stability.","PeriodicalId":509298,"journal":{"name":"International Journal of Modern Physics B","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139239375","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 : 2023-11-24DOI: 10.1142/s021797922440006x
M. Meenakshi, A. Gowrisankar
The terminology “climate change” refers to changes that occur over longer periods of time in the climate and weather patterns of the world. This paper investigates the climate changing patterns by providing a relationship between carbon dioxide emissions and natural parameters such as temperature and precipitation anomaly. The irregularity of the temperature anomaly and precipitation anomaly is analyzed using the fractal dimension via the Hurst exponent. The range of fractal dimensions for the parameters is estimated between 1.01 and 1.60. From the obtained values of fractal dimension, the parameters are classified and their short-term forecast is presented from 2023 to 2032 using the autoregressive integrated moving average model.
{"title":"Fractal-based approach on analyzing the trends of climate dynamics","authors":"M. Meenakshi, A. Gowrisankar","doi":"10.1142/s021797922440006x","DOIUrl":"https://doi.org/10.1142/s021797922440006x","url":null,"abstract":"The terminology “climate change” refers to changes that occur over longer periods of time in the climate and weather patterns of the world. This paper investigates the climate changing patterns by providing a relationship between carbon dioxide emissions and natural parameters such as temperature and precipitation anomaly. The irregularity of the temperature anomaly and precipitation anomaly is analyzed using the fractal dimension via the Hurst exponent. The range of fractal dimensions for the parameters is estimated between 1.01 and 1.60. From the obtained values of fractal dimension, the parameters are classified and their short-term forecast is presented from 2023 to 2032 using the autoregressive integrated moving average model.","PeriodicalId":509298,"journal":{"name":"International Journal of Modern Physics B","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139239794","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 : 2023-11-23DOI: 10.1142/s0217979224504009
Sohita Rajput, K. Bhattacharyya, Dimpal Sharma, Amit Kumar Pandey, Ali J. Chamkha
This paper discusses the high heat transfer demand from application prospects. Hybrid nanofluid is a well-known liquid with higher heat transfer capabilities. Here, the time-dependent flow of hybrid nanocomposite, by hybridizing the metal (Cu) and metallic oxide (Al2O3) and inserting them into water-based nanofluid, is examined. The flow takes place over the upper half of a parabolic surface. The modified Buongiorno model is used to express the physical phenomenon in mathematical equations form. The governing system of partial differential equations (PDEs) is reduced to a system of ordinary differential equations (ODEs) by applying certain transformations. Computation of the final equations has been done by a numerical scheme, known as the Keller-box method. The significance of dimensionless flow causing physical parameters is shown through graphs and tables. The findings reveal that among the hybrid nanofluids with two types of nanoparticles varying from 0% to 5%, a nanofluid having 5% of both nanoparticles is the one with the maximum surface drag force and heat transport rate, which are 41.8% and 22.7% higher to water, respectively. A higher amount of Al2O3 than Cu results in a suitable hybrid combination for application purposes to produce higher cooling rate with less surface drag. Also, the thickness of the surface, unsteadiness, nanoparticles suspension and power index of wall temperature enhance the heat transfer rate. Thin parabolic surfaces experience less drag and have larger boundary layer thicknesses (momentum, thermal and concentration) as compared to thicker parabolic surfaces. Also, the addition of copper slows down the hybrid fluid flow field, but alumina magnifies the mobility of hybrid fluid.
{"title":"A computational description of time-dependent transport of a water-based nanofluid with hybrid nanocomposite Cu–Al2O3 over a parabolic surface by Keller-box scheme: A modified Buongiorno model","authors":"Sohita Rajput, K. Bhattacharyya, Dimpal Sharma, Amit Kumar Pandey, Ali J. Chamkha","doi":"10.1142/s0217979224504009","DOIUrl":"https://doi.org/10.1142/s0217979224504009","url":null,"abstract":"This paper discusses the high heat transfer demand from application prospects. Hybrid nanofluid is a well-known liquid with higher heat transfer capabilities. Here, the time-dependent flow of hybrid nanocomposite, by hybridizing the metal (Cu) and metallic oxide (Al2O3) and inserting them into water-based nanofluid, is examined. The flow takes place over the upper half of a parabolic surface. The modified Buongiorno model is used to express the physical phenomenon in mathematical equations form. The governing system of partial differential equations (PDEs) is reduced to a system of ordinary differential equations (ODEs) by applying certain transformations. Computation of the final equations has been done by a numerical scheme, known as the Keller-box method. The significance of dimensionless flow causing physical parameters is shown through graphs and tables. The findings reveal that among the hybrid nanofluids with two types of nanoparticles varying from 0% to 5%, a nanofluid having 5% of both nanoparticles is the one with the maximum surface drag force and heat transport rate, which are 41.8% and 22.7% higher to water, respectively. A higher amount of Al2O3 than Cu results in a suitable hybrid combination for application purposes to produce higher cooling rate with less surface drag. Also, the thickness of the surface, unsteadiness, nanoparticles suspension and power index of wall temperature enhance the heat transfer rate. Thin parabolic surfaces experience less drag and have larger boundary layer thicknesses (momentum, thermal and concentration) as compared to thicker parabolic surfaces. Also, the addition of copper slows down the hybrid fluid flow field, but alumina magnifies the mobility of hybrid fluid.","PeriodicalId":509298,"journal":{"name":"International Journal of Modern Physics B","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139243025","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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