Pub Date : 2024-03-20DOI: 10.17485/ijst/v17i12.259
Rajashree Deokar, Arun G Banpurkar, Arvind R Singh, Jignesh Mehta, Aravind L. Gajengi, Sheenam Thatai, Neelam Pahwa, S. Nalawade
Background/ Objectives: The formation of breath figures over polymers like polystyrene has vast applications in material science for making numerous micro- and nanopatterned functional surfaces. However, the breath figures (BFs) method is a complex phenomenon as the actual formation of structures are many times unpredictable and the nature of structure depends on the type of polymer, solvent, degree of humidity and additives used. The work presented in this paper deals with the study of condensation on the surface of volatile polystyrene polymer solution and their uses for non-wetting using optical and morphological studies along with mathematical model Voronoi polygon analysis using polystyrene and solvent of benzene and chloroform. The growth dynamics of Breath-Figures (BFs) formed due to condensation is presented in brief. Method: Breath Figure (BF) patterns were prepared by two solvents: benzene and chloroform. Different representative values of relative Humidity viz. 60, 70, 80 and 90 % were employed for making BFs. Two different polymer concentrations of 5 and 10 w/v % was used in this study. Findings: The morphology has been statistically analyzed for different parameters like average diameter and their size distribution etc. In case of BFs formed on benzene surface, droplet has average diameter of about 12 µm at 90% humidity but in case of chloroform surface this diameter is about 25 µm at 90% humidity. Voronoi analysis demonstrates simplistic way to qualitatively check the six-fold order and the coordination numbers in BFs. Novelty: The work shows comparative study of BFs patterns using polystyrene on two different solvents with changing humidity. The study shows morphology of the breath patterns is mainly dependent on the polymer concentration, humidity and density of solvents which is a new observation. The study leads to the acquisition of new knowledge on BFs which provides insight important for various applications including biological fields. Keywords: Breathfigures, Voronoi polygon, Polystyrene, Contact angle, Condensation
{"title":"Morphological, Optical and Voronoi Polygon Analysis of Breath Figures Prepared on Polymeric Surface","authors":"Rajashree Deokar, Arun G Banpurkar, Arvind R Singh, Jignesh Mehta, Aravind L. Gajengi, Sheenam Thatai, Neelam Pahwa, S. Nalawade","doi":"10.17485/ijst/v17i12.259","DOIUrl":"https://doi.org/10.17485/ijst/v17i12.259","url":null,"abstract":"Background/ Objectives: The formation of breath figures over polymers like polystyrene has vast applications in material science for making numerous micro- and nanopatterned functional surfaces. However, the breath figures (BFs) method is a complex phenomenon as the actual formation of structures are many times unpredictable and the nature of structure depends on the type of polymer, solvent, degree of humidity and additives used. The work presented in this paper deals with the study of condensation on the surface of volatile polystyrene polymer solution and their uses for non-wetting using optical and morphological studies along with mathematical model Voronoi polygon analysis using polystyrene and solvent of benzene and chloroform. The growth dynamics of Breath-Figures (BFs) formed due to condensation is presented in brief. Method: Breath Figure (BF) patterns were prepared by two solvents: benzene and chloroform. Different representative values of relative Humidity viz. 60, 70, 80 and 90 % were employed for making BFs. Two different polymer concentrations of 5 and 10 w/v % was used in this study. Findings: The morphology has been statistically analyzed for different parameters like average diameter and their size distribution etc. In case of BFs formed on benzene surface, droplet has average diameter of about 12 µm at 90% humidity but in case of chloroform surface this diameter is about 25 µm at 90% humidity. Voronoi analysis demonstrates simplistic way to qualitatively check the six-fold order and the coordination numbers in BFs. Novelty: The work shows comparative study of BFs patterns using polystyrene on two different solvents with changing humidity. The study shows morphology of the breath patterns is mainly dependent on the polymer concentration, humidity and density of solvents which is a new observation. The study leads to the acquisition of new knowledge on BFs which provides insight important for various applications including biological fields. Keywords: Breathfigures, Voronoi polygon, Polystyrene, Contact angle, Condensation","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140388787","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 : 2024-03-20DOI: 10.17485/ijst/v17i12.3272
Ishwar Gophane, Narayan Dharashivkar, P. Mulik, Prashant Patil
Objectives: This study tests the vessel strength and performance of pressure vessel under Internal pressure, Nozzle loads, and Hydro-test using Ansys APDL, validating design alignment with ASME Section VIII following the Design by rule (Analytical) and Design by Analysis (FEA) accurate elastic analysis approach. Methods: This study employs ASME methods to validate vessel integrity under various loads. Strength is confirmed through analytical formulas and Finite Element Analysis (FEA) using ANSYS APDL, aligned with widely used ASME BPVC codes in the oil and gas industry. The FE model, utilizing hex elements, ensures result accuracy with a minimum of three elements across thickness. Boundary conditions are validated by comparing hoop stress in FEA with analytically calculated values. ASME's computationally efficient elastic analysis, employing a linear approach, includes stress linearization at discontinuity and non-discontinuity locations, verifying vessel design through analysis. Findings: Initial thicknesses for the shell and cone exceeded analytically calculated minimums, affirming vessel structural integrity through ASME's design by rule approach. Finite Element Analysis (FEA) stress analysis at critical points, such as nozzle junctions and other discontinuity areas, validates accuracy through hoop stress checks. Analysis of design and test load cases reveals stress categories well within ASME Sec VIII limits, confirming the vessel's safety and compliance with elastic stress analysis standards. Novelty: This method emerges as a reliable tool for vessel design, ensuring safety and ASME compliance, particularly beneficial for industries like oil and gas. It provides precise guidelines utilizing hex mesh, validates boundary conditions through hoop stress comparison, and comprehensively assesses stress in critical and non-critical zones through elastic stress analysis. Addressing common challenges identified in the literature review, this approach enhances the accuracy and reliability of pressure vessel designs in compliance with ASME standards for design and test loadings. Keywords: Pressure Vessels, Process Industries, Stress, Loads, Pressure, Thermal, Design Validation, ASME, FE analysis
{"title":"Theoretical and Finite Element Analysis of Pressure Vessel","authors":"Ishwar Gophane, Narayan Dharashivkar, P. Mulik, Prashant Patil","doi":"10.17485/ijst/v17i12.3272","DOIUrl":"https://doi.org/10.17485/ijst/v17i12.3272","url":null,"abstract":"Objectives: This study tests the vessel strength and performance of pressure vessel under Internal pressure, Nozzle loads, and Hydro-test using Ansys APDL, validating design alignment with ASME Section VIII following the Design by rule (Analytical) and Design by Analysis (FEA) accurate elastic analysis approach. Methods: This study employs ASME methods to validate vessel integrity under various loads. Strength is confirmed through analytical formulas and Finite Element Analysis (FEA) using ANSYS APDL, aligned with widely used ASME BPVC codes in the oil and gas industry. The FE model, utilizing hex elements, ensures result accuracy with a minimum of three elements across thickness. Boundary conditions are validated by comparing hoop stress in FEA with analytically calculated values. ASME's computationally efficient elastic analysis, employing a linear approach, includes stress linearization at discontinuity and non-discontinuity locations, verifying vessel design through analysis. Findings: Initial thicknesses for the shell and cone exceeded analytically calculated minimums, affirming vessel structural integrity through ASME's design by rule approach. Finite Element Analysis (FEA) stress analysis at critical points, such as nozzle junctions and other discontinuity areas, validates accuracy through hoop stress checks. Analysis of design and test load cases reveals stress categories well within ASME Sec VIII limits, confirming the vessel's safety and compliance with elastic stress analysis standards. Novelty: This method emerges as a reliable tool for vessel design, ensuring safety and ASME compliance, particularly beneficial for industries like oil and gas. It provides precise guidelines utilizing hex mesh, validates boundary conditions through hoop stress comparison, and comprehensively assesses stress in critical and non-critical zones through elastic stress analysis. Addressing common challenges identified in the literature review, this approach enhances the accuracy and reliability of pressure vessel designs in compliance with ASME standards for design and test loadings. Keywords: Pressure Vessels, Process Industries, Stress, Loads, Pressure, Thermal, Design Validation, ASME, FE analysis","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140388191","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 : 2024-03-20DOI: 10.17485/ijst/v17i12.2343
G. Vinuja, N. B. Devi, G. A. A. Mary
Objective: To effectively analyze diverse satellite images and derive valuable insights, it's crucial to employ efficient methods for classification and image processing. However, due to imperfections in image formats and sensor data, satellite imagery often contains flaws and inaccuracies, requiring extra steps to enhance its quality. The proposed solution involves two key techniques: segmenting the input image using a Hybrid HRSVM-CNN and classifying the resulting high-resolution remote sensing image using a Convolutional Neural Network. This combined approach addresses the challenges posed by image inconsistencies and aims to improve the accuracy and efficiency of current methods for satellite image analysis. Methods: In this research, a high-resolution Support Vector Machine-Convolutional Neural Network (Hybrid HRSVM-CNN) and texture characteristics are used to create an automated land identification method for satellite Remote sensing (RS) images. This approach's main focus is segmentation using the Bendlet Transform and Improved Chan-Vese, and it also does classification using a Hybrid HRSVM-CNN based on feature extraction and gray-level co-occurrence matrix algorithm. Findings: The proposed classification method's accuracy was evaluated against several other classification algorithms, including Semi-Supervised Graph Based Method (SSG), Conditional Random Fields (CRF), k-Nearest Neighbor (KNN), and Bi-layer Graph-based Learning (BLGL), Support Vector Machine (SVM), and Artificial Neural Networks (ANN). When compared with existing methods, the findings of the proposed method display excellent accuracy of 98.83%. Novelty: To start, an adaptive median filter is used to pre-process the satellite Remote sensing images, removing unwanted noises and other impacts. Following pre-processing, the image is segmented using the Bendlet Transform and Improved Chan-Vese algorithms. Gray-level co-occurrence matrix is utilized to extract texture information, and the Hybrid HRSVM-CNN is then used to categorize the various types of land. These applications frequently have a variety of issues that affect the categorization accuracy. A few significant factors, like location, irregularity, form, and diameter, reduce the process's overall accuracy. This research focuses on presenting a unique Land-Cover classification model in order to address such problems. The UC Merced Land Use dataset was considered in this research. Keywords: Bendlet Transform and Improved ChanVese Segmentation, Hybrid HRSVMCNN, Land detection system, Satellite remote sensing images, Adaptive median filter, Gray level cooccurrence matrix
{"title":"Image Analysis and Classification Using HRSVM-CNN for Land-Cover Classification by Using Remote Sensing Images","authors":"G. Vinuja, N. B. Devi, G. A. A. Mary","doi":"10.17485/ijst/v17i12.2343","DOIUrl":"https://doi.org/10.17485/ijst/v17i12.2343","url":null,"abstract":"Objective: To effectively analyze diverse satellite images and derive valuable insights, it's crucial to employ efficient methods for classification and image processing. However, due to imperfections in image formats and sensor data, satellite imagery often contains flaws and inaccuracies, requiring extra steps to enhance its quality. The proposed solution involves two key techniques: segmenting the input image using a Hybrid HRSVM-CNN and classifying the resulting high-resolution remote sensing image using a Convolutional Neural Network. This combined approach addresses the challenges posed by image inconsistencies and aims to improve the accuracy and efficiency of current methods for satellite image analysis. Methods: In this research, a high-resolution Support Vector Machine-Convolutional Neural Network (Hybrid HRSVM-CNN) and texture characteristics are used to create an automated land identification method for satellite Remote sensing (RS) images. This approach's main focus is segmentation using the Bendlet Transform and Improved Chan-Vese, and it also does classification using a Hybrid HRSVM-CNN based on feature extraction and gray-level co-occurrence matrix algorithm. Findings: The proposed classification method's accuracy was evaluated against several other classification algorithms, including Semi-Supervised Graph Based Method (SSG), Conditional Random Fields (CRF), k-Nearest Neighbor (KNN), and Bi-layer Graph-based Learning (BLGL), Support Vector Machine (SVM), and Artificial Neural Networks (ANN). When compared with existing methods, the findings of the proposed method display excellent accuracy of 98.83%. Novelty: To start, an adaptive median filter is used to pre-process the satellite Remote sensing images, removing unwanted noises and other impacts. Following pre-processing, the image is segmented using the Bendlet Transform and Improved Chan-Vese algorithms. Gray-level co-occurrence matrix is utilized to extract texture information, and the Hybrid HRSVM-CNN is then used to categorize the various types of land. These applications frequently have a variety of issues that affect the categorization accuracy. A few significant factors, like location, irregularity, form, and diameter, reduce the process's overall accuracy. This research focuses on presenting a unique Land-Cover classification model in order to address such problems. The UC Merced Land Use dataset was considered in this research. Keywords: Bendlet Transform and Improved ChanVese Segmentation, Hybrid HRSVMCNN, Land detection system, Satellite remote sensing images, Adaptive median filter, Gray level cooccurrence matrix","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140388373","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 : 2024-03-20DOI: 10.17485/ijst/v17i12.128
Laith Almuntfjy, O. Tan, Emad Alani, Omar Turki Hazzaa
Objectives: This study aims to design and validate integrated TQM-CSR practices for Private Higher Education Institutions in the UAE, enhancing institutional excellence and stakeholder satisfaction. Methods: An empirical study was conducted, involving 30 Private Higher Education Institutions in the UAE. The methodology included survey-based data collection, statistical analysis, and reliability testing (Cronbach's alpha). Key modifications included the refinement of the TQM-CSR practices measurement scale, through outer loading analysis and item elimination. Findings: The study revealed strong consensus on the effectiveness of integrated TQM-CSR practices in PHEIs, with average scores between 3.77 and 4.22. Particularly effective were practices in Social and Legal Concerns and Educational Services Improvement. The robustness of these practices was confirmed by Cronbach's alpha values ranging from 0.826 to 0.927. The analysis led to the removal of less effective items (CIP5, SFS5), refining the measurement scale. These findings offer significant insights for educational administrators on improving quality management and social responsibility, diverging from and enriching existing literature. Novelty: This study pioneers in empirically validating TQM-CSR integration for quality management and social responsibility in UAE's private higher education sector. Keywords: Total Quality Management, Corporate Social Responsibility, Higher Education, Measurement Development, UAE
{"title":"Total Quality Management and Corporate Social Responsibility (TQM-CSR) Measurement Items Design and Pilot Test","authors":"Laith Almuntfjy, O. Tan, Emad Alani, Omar Turki Hazzaa","doi":"10.17485/ijst/v17i12.128","DOIUrl":"https://doi.org/10.17485/ijst/v17i12.128","url":null,"abstract":"Objectives: This study aims to design and validate integrated TQM-CSR practices for Private Higher Education Institutions in the UAE, enhancing institutional excellence and stakeholder satisfaction. Methods: An empirical study was conducted, involving 30 Private Higher Education Institutions in the UAE. The methodology included survey-based data collection, statistical analysis, and reliability testing (Cronbach's alpha). Key modifications included the refinement of the TQM-CSR practices measurement scale, through outer loading analysis and item elimination. Findings: The study revealed strong consensus on the effectiveness of integrated TQM-CSR practices in PHEIs, with average scores between 3.77 and 4.22. Particularly effective were practices in Social and Legal Concerns and Educational Services Improvement. The robustness of these practices was confirmed by Cronbach's alpha values ranging from 0.826 to 0.927. The analysis led to the removal of less effective items (CIP5, SFS5), refining the measurement scale. These findings offer significant insights for educational administrators on improving quality management and social responsibility, diverging from and enriching existing literature. Novelty: This study pioneers in empirically validating TQM-CSR integration for quality management and social responsibility in UAE's private higher education sector. Keywords: Total Quality Management, Corporate Social Responsibility, Higher Education, Measurement Development, UAE","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140388952","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 : 2024-02-27DOI: 10.17485/ijst/v17i9.2939
Lalruat Puia, S. Rai
Objective: This report intends to study the structural and spectroscopic properties of Sm3+ doped with ZnS nanoparticles in silica glass. Methods: The research adopted the sol-gel technique for preparing the sample. The physical property of the studied glass sample is examined by different characterization techniques such as Abbe refractometer, X-ray Diffraction (XRD) and Transmission Electron Microscopy (TEM) and Photoluminescence (PL) spectroscopy. Findings: XRD studies confirmed the formation of glassy amorphous nature and TEM studies confirmed that the studied nanoparticles are polycrystalline in nature with a particle size lies between 10-50 nm after annealing at 300 °C. The PL spectra have three emission bands that correspond to 4G5/2→6H5/2, 4G5/2→6H7/2 and 4G5/2→6H9/2 correspondingly at 565 nm, 603 nm and 650 nm with most prominent bands in the orange-red region. Novelty: This research proves that the rare earth element can be successfully doped with semiconductor nanoparticle by using sol-gel technique in silica glass. Consequently, the doped glass can be utilised for producing nearly pure white hue when triggered at 370 nm. Keywords: Samarium, ZnS, XRD, TEM, PL, CIE Chromaticity
{"title":"Structural and Spectroscopic Studies of Sm3+ Ions Doped ZnS Nanoparticle in Silica Glass Matrix","authors":"Lalruat Puia, S. Rai","doi":"10.17485/ijst/v17i9.2939","DOIUrl":"https://doi.org/10.17485/ijst/v17i9.2939","url":null,"abstract":"Objective: This report intends to study the structural and spectroscopic properties of Sm3+ doped with ZnS nanoparticles in silica glass. Methods: The research adopted the sol-gel technique for preparing the sample. The physical property of the studied glass sample is examined by different characterization techniques such as Abbe refractometer, X-ray Diffraction (XRD) and Transmission Electron Microscopy (TEM) and Photoluminescence (PL) spectroscopy. Findings: XRD studies confirmed the formation of glassy amorphous nature and TEM studies confirmed that the studied nanoparticles are polycrystalline in nature with a particle size lies between 10-50 nm after annealing at 300 °C. The PL spectra have three emission bands that correspond to 4G5/2→6H5/2, 4G5/2→6H7/2 and 4G5/2→6H9/2 correspondingly at 565 nm, 603 nm and 650 nm with most prominent bands in the orange-red region. Novelty: This research proves that the rare earth element can be successfully doped with semiconductor nanoparticle by using sol-gel technique in silica glass. Consequently, the doped glass can be utilised for producing nearly pure white hue when triggered at 370 nm. Keywords: Samarium, ZnS, XRD, TEM, PL, CIE Chromaticity","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140426620","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}
Madabushanam Gopi Krishna, R. Guntu, M. Shareefuddin, N. V. Prasad
Objectives: The primary objective of the present investigation was to examine the impact of Bi3+ ions on the optical, radiation shielding, dielectric and structural characteristics of lead borosilicate glasses doped with CuO. Method: In this view, we planned to utilize the conventional rapid melt quenching method to produce glasses with the following chemical composition: 25 PbO + 15 B2O3 + 0.1 CuO + (59.9-x) SiO2 :x Bi2O3 (0≤x≤12). Findings: The samples' non-crystalline characteristics were validated through XRD and SEM analysis, respectively, while their glass-forming capabilities were assessed through DTA studies. Utilizing the FT–IR and Raman analyses, the numerous structural units were determined. According to the findings of the FT-IR, and Raman analyses, the degree of disorder in the glass network increased. By means of optical absorption experiments, the optical properties of glasses were determined. The results obtained from optical absorption spectral investigations indicated that the concentration of octahedral Cu2+ ions increased gradually as the Bi2O3 concentration increased to 12 mol %. The dielectric properties of the glasses, suggested that the dielectric constant values of glasses containing Bi2O3 in concentrations below 12 mol% increase gradually. Additionally, the radiation shielding properties of the glasses are investigated. The values of radiation protection ability found to be purely function of Bi2O3 concentration. Novelty: The results suggest that the glasses' thermal stability, dielectric constant, optical band gap and radiation shielding ability values purely function of Bi2O3 concentration. Keywords: Borosilicate glasses, Thermal stability, Optical absorption, Radiation shielding properties, Dielectricsq
{"title":"Characterization of a Novel System of Bismuth Lead Borosilicate Glass Containing Copper","authors":"Madabushanam Gopi Krishna, R. Guntu, M. Shareefuddin, N. V. Prasad","doi":"10.17485/ijst/v17i9.81","DOIUrl":"https://doi.org/10.17485/ijst/v17i9.81","url":null,"abstract":"Objectives: The primary objective of the present investigation was to examine the impact of Bi3+ ions on the optical, radiation shielding, dielectric and structural characteristics of lead borosilicate glasses doped with CuO. Method: In this view, we planned to utilize the conventional rapid melt quenching method to produce glasses with the following chemical composition: 25 PbO + 15 B2O3 + 0.1 CuO + (59.9-x) SiO2 :x Bi2O3 (0≤x≤12). Findings: The samples' non-crystalline characteristics were validated through XRD and SEM analysis, respectively, while their glass-forming capabilities were assessed through DTA studies. Utilizing the FT–IR and Raman analyses, the numerous structural units were determined. According to the findings of the FT-IR, and Raman analyses, the degree of disorder in the glass network increased. By means of optical absorption experiments, the optical properties of glasses were determined. The results obtained from optical absorption spectral investigations indicated that the concentration of octahedral Cu2+ ions increased gradually as the Bi2O3 concentration increased to 12 mol %. The dielectric properties of the glasses, suggested that the dielectric constant values of glasses containing Bi2O3 in concentrations below 12 mol% increase gradually. Additionally, the radiation shielding properties of the glasses are investigated. The values of radiation protection ability found to be purely function of Bi2O3 concentration. Novelty: The results suggest that the glasses' thermal stability, dielectric constant, optical band gap and radiation shielding ability values purely function of Bi2O3 concentration. Keywords: Borosilicate glasses, Thermal stability, Optical absorption, Radiation shielding properties, Dielectricsq","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140424064","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 : 2024-02-27DOI: 10.17485/ijst/v17i9.3206
Nitin Darkunde, Sanjay Ghodechor
Objectives: The Trigonometric inequalities, generalized trigonometric inequalities which have been obtained by Wilker and Cusa Huygens have attracted attention of so many researchers. Generalized trigonometric functions are simple generalization of the classical trigonometric functions. It is related to the r- Laplacian, which is known as a non-linear differential operator. Method: For the establishment of inequalities involving generalized trigonometric and hyperbolic functions convexity plays the important role in many aspects, also Monotonicity rule is used for sharpness of inequalities. This technique is used to refine and sharpness of inequalities. Findings: Our main result of this paper focus on generalization of Wilker and Cusa Huygens type inequalities for generalized trigonometric and hyperbolic functions with one parameter. Novelty: The inequalities with generalized trigonometric and hyperbolic functions proved in this research paper are Wilker's and Cusa Huygens generalization. It can be used for further refinement and sharpness. Keywords: Trigonometric function, Hyperbolic function, Generalized Trigonometric, Hyperbolic functions, Wilker Inequality and Huygen's Inequality
{"title":"On Wilker’s and Huygen’s Type Inequalities for Generalized Trigonometric and Hyperbolic Functions","authors":"Nitin Darkunde, Sanjay Ghodechor","doi":"10.17485/ijst/v17i9.3206","DOIUrl":"https://doi.org/10.17485/ijst/v17i9.3206","url":null,"abstract":"Objectives: The Trigonometric inequalities, generalized trigonometric inequalities which have been obtained by Wilker and Cusa Huygens have attracted attention of so many researchers. Generalized trigonometric functions are simple generalization of the classical trigonometric functions. It is related to the r- Laplacian, which is known as a non-linear differential operator. Method: For the establishment of inequalities involving generalized trigonometric and hyperbolic functions convexity plays the important role in many aspects, also Monotonicity rule is used for sharpness of inequalities. This technique is used to refine and sharpness of inequalities. Findings: Our main result of this paper focus on generalization of Wilker and Cusa Huygens type inequalities for generalized trigonometric and hyperbolic functions with one parameter. Novelty: The inequalities with generalized trigonometric and hyperbolic functions proved in this research paper are Wilker's and Cusa Huygens generalization. It can be used for further refinement and sharpness. Keywords: Trigonometric function, Hyperbolic function, Generalized Trigonometric, Hyperbolic functions, Wilker Inequality and Huygen's Inequality","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140427399","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 : 2024-02-27DOI: 10.17485/ijst/v17i9.3131
A. S. Gore, Nilesh G Patil, Mohammed Naser Farooqui
Objectives: A mathematical model is formulated for WEDM process for machining of Al/SiC/p to predict crater size, material removal rate for single spark discharge and same model is extended for multiple spark discharges which is not extensively studied in the literature. This was done by considering previous experimental data from the literature. Methods: A mathematical model predicts heat flux, radius of crater, material removal rate. Mode of heat transfer considered as conduction through workpiece. Material modeling is done considering the number of reinforced particles in the given volume. For random distribution of reinforced particles, a code is written in MATLAB software tool. Co-ordinates of these reinforced particles are extracted for FEA simulation in ABAQUS software tool. Material properties are considered as temperature dependent. This methodology is not adopted for MMCs. Findings: Results of theoretical model, FEA simulation and experimentation are compared. The predicted MRR by FEA simulation is 2% error at lower Ton values as 0.2µs and 0.4 µs to that of experimental MRR. Novelty: Crater size becomes shallow with increase in volume percentage of SiC particles resulting greater crater radius. With increased pulse on time MRR increases up to certain limit and then decreases. Keywords: WEDM, Modeling, MMC, FEA, MRR
{"title":"Mathematical Modeling and Finite Element Analysis of Wire Electro-Discharge Machining of Ceramic Particulate Reinforced Metal Matrix Composite Material","authors":"A. S. Gore, Nilesh G Patil, Mohammed Naser Farooqui","doi":"10.17485/ijst/v17i9.3131","DOIUrl":"https://doi.org/10.17485/ijst/v17i9.3131","url":null,"abstract":"Objectives: A mathematical model is formulated for WEDM process for machining of Al/SiC/p to predict crater size, material removal rate for single spark discharge and same model is extended for multiple spark discharges which is not extensively studied in the literature. This was done by considering previous experimental data from the literature. Methods: A mathematical model predicts heat flux, radius of crater, material removal rate. Mode of heat transfer considered as conduction through workpiece. Material modeling is done considering the number of reinforced particles in the given volume. For random distribution of reinforced particles, a code is written in MATLAB software tool. Co-ordinates of these reinforced particles are extracted for FEA simulation in ABAQUS software tool. Material properties are considered as temperature dependent. This methodology is not adopted for MMCs. Findings: Results of theoretical model, FEA simulation and experimentation are compared. The predicted MRR by FEA simulation is 2% error at lower Ton values as 0.2µs and 0.4 µs to that of experimental MRR. Novelty: Crater size becomes shallow with increase in volume percentage of SiC particles resulting greater crater radius. With increased pulse on time MRR increases up to certain limit and then decreases. Keywords: WEDM, Modeling, MMC, FEA, MRR","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140428123","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 : 2024-02-27DOI: 10.17485/ijst/v17i9.3265
S. Vhatkar, Zahir Aalam, Mohd Atique
Objective: The decisive aim of this investigation is to improve the capabilities and limitations of PEGASIS with Double Cluster Head (PDCH), for enhancing the overall Quality of Service (QoS) in Wireless Sensor Networks (WSNs). Methods: This research is intended at the application of efficient routing protocol for wireless sensor networks. It works on the principle of the formation of cluster head and clustering. This is accomplished to achieve high QoS for WSN. Improving the efficacy of a WSN protocol is decisive for optimizing communication, resource utilization, and overall effectiveness. An innovative and novel protocol named Mobile-PDCH (M-PDCH) has been devised, developed, and tested. Here several parameters have been carefully investigated for enhancing the performance of a WSN protocol such as energy consumption, delay, and packet loss. A simulation environment has been created to evaluate, compare, and validate the performance and to suggest the desired applications of the proposed protocol. Findings: In the hierarchical category, PDCH performs better compared to all the other protocols. But it suffers from high packet drop, which decrease the performance of the protocol. To improve the performance of sensor networks, there is a need for adaptive routing protocol. The examination of simulation outcomes for the recommended protocol, M-PDCH, has been conducted in comparison with PDCH. The findings indicate that the protocol exhibits superior performance. The proposed algorithm improves the packet drop by 29.75%, reduces delay by 23.28%, and lowers energy consumption by 19.18% when compared to PDCH. Novelty: A novel adaptive routing protocol termed M-PDCH has been proposed for the enhancement of the WSN life span and durability of the sensor nodes. The simulation results show that the proposed algorithm produces better results compared to PDCH protocol. The various QoS parameter results are compared, verified, and validated with existing protocol PDCH. Keywords: WSN, PDCH, Design issues, Metrics, QoS, HRP
{"title":"Advancing Wireless Sensor Networks through Performance Evaluation of M-PDCH Routing Protocol for Enhanced Quality of Service","authors":"S. Vhatkar, Zahir Aalam, Mohd Atique","doi":"10.17485/ijst/v17i9.3265","DOIUrl":"https://doi.org/10.17485/ijst/v17i9.3265","url":null,"abstract":"Objective: The decisive aim of this investigation is to improve the capabilities and limitations of PEGASIS with Double Cluster Head (PDCH), for enhancing the overall Quality of Service (QoS) in Wireless Sensor Networks (WSNs). Methods: This research is intended at the application of efficient routing protocol for wireless sensor networks. It works on the principle of the formation of cluster head and clustering. This is accomplished to achieve high QoS for WSN. Improving the efficacy of a WSN protocol is decisive for optimizing communication, resource utilization, and overall effectiveness. An innovative and novel protocol named Mobile-PDCH (M-PDCH) has been devised, developed, and tested. Here several parameters have been carefully investigated for enhancing the performance of a WSN protocol such as energy consumption, delay, and packet loss. A simulation environment has been created to evaluate, compare, and validate the performance and to suggest the desired applications of the proposed protocol. Findings: In the hierarchical category, PDCH performs better compared to all the other protocols. But it suffers from high packet drop, which decrease the performance of the protocol. To improve the performance of sensor networks, there is a need for adaptive routing protocol. The examination of simulation outcomes for the recommended protocol, M-PDCH, has been conducted in comparison with PDCH. The findings indicate that the protocol exhibits superior performance. The proposed algorithm improves the packet drop by 29.75%, reduces delay by 23.28%, and lowers energy consumption by 19.18% when compared to PDCH. Novelty: A novel adaptive routing protocol termed M-PDCH has been proposed for the enhancement of the WSN life span and durability of the sensor nodes. The simulation results show that the proposed algorithm produces better results compared to PDCH protocol. The various QoS parameter results are compared, verified, and validated with existing protocol PDCH. Keywords: WSN, PDCH, Design issues, Metrics, QoS, HRP","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140425074","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}
Objectives: In this study, a model was developed to predict the compressive strength of High Strength Concrete (HSC) mixed with silica fume using Response Surface Methodology (RSM). This study investigated the effects of cement, water, Silica Fume (SF), Coarse Aggregate (CA), and silica fume-cement ratio (SF/C) on the 28-day compressive strength of HSC. Silica fume is added with varying amounts of SF (5% to 25%) to cement content. Methods: Response surface methodology (RSM) was performed to investigate the influence of independent variables on the compressive strength of HSC. Findings: Analysis of the response surface plot reveals a remarkably low error percentage of less than 5%. This reveals a high degree of confidence (95%) in the model's accuracy. This study yielded a coefficient of determination (R2) of 0. 9968. It is observed negligible deviation between predicted and actual 28-day compressive strength values, indicating high model accuracy. Novelty: The predicted equation is reasonably predicting the compressive strength of high strength concrete. Keywords: High strength concrete, Response surface methodology, Silica fume, Compressive strength, Prediction model
{"title":"Prediction of Compressive Strength of Silica Fume Blended High Strength Concrete Using Response Surface Methodology Approach","authors":"D. Nirosha, C. Sashidhar, K. Narasimhulu","doi":"10.17485/ijst/v17i9.45","DOIUrl":"https://doi.org/10.17485/ijst/v17i9.45","url":null,"abstract":"Objectives: In this study, a model was developed to predict the compressive strength of High Strength Concrete (HSC) mixed with silica fume using Response Surface Methodology (RSM). This study investigated the effects of cement, water, Silica Fume (SF), Coarse Aggregate (CA), and silica fume-cement ratio (SF/C) on the 28-day compressive strength of HSC. Silica fume is added with varying amounts of SF (5% to 25%) to cement content. Methods: Response surface methodology (RSM) was performed to investigate the influence of independent variables on the compressive strength of HSC. Findings: Analysis of the response surface plot reveals a remarkably low error percentage of less than 5%. This reveals a high degree of confidence (95%) in the model's accuracy. This study yielded a coefficient of determination (R2) of 0. 9968. It is observed negligible deviation between predicted and actual 28-day compressive strength values, indicating high model accuracy. Novelty: The predicted equation is reasonably predicting the compressive strength of high strength concrete. Keywords: High strength concrete, Response surface methodology, Silica fume, Compressive strength, Prediction model","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140426682","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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