Article
Biochemistry & Molecular Biology
Noelle Billon, Carlos Eloy Federico, Guilhem Rival, Jean Luc Bouvard, Alain Burr
Summary: This study investigated the principle of time-temperature superposition (TTS) under shearing conditions and compared it with results under tensile conditions. The results showed that TTS still applies under high strains in shearing conditions, and the determination of shift factors was discussed. The study suggested that the compressibility should be taken into account when determining shift factors for various complex mechanical loadings.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Materials Science, Paper & Wood
Maer Alanazi, Michael E. Ries, Peter J. Hine
Summary: Wide-angle X-ray diffraction (WAXS) and mechanical testing techniques were used to investigate the dissolution process of a viscose rayon multifilament yarn in an ionic liquid. The dissolution involved the regeneration of cellulose fibres and the formation of a matrix phase. The growth of the dissolved matrix volume fraction and the decrease in Young's modulus followed a time-temperature superposition behavior. The results from WAXS measurements and mechanical testing were consistent with the Voigt upper bound parallel Rule of Mixtures.
Article
Multidisciplinary Sciences
Daniel A. Souto-Silvar, A. Alvarez-Garcia, A. Diaz-Diaz, Francisco J. Rodriguez-Dopico, Jorge Lopez-Beceiro
Summary: The aim of this study is to predict the long-term behavior of adhesives in ships by applying the time-temperature superposition principle (TTS). Dynamic mechanical analysis (DMA) experiments were conducted to study the adhesive behavior under both dynamic and sustained loading. The results will provide insights into the durability of adhesives in shipbuilding.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Chemistry, Analytical
Aleksandr Sakhnevych, Raffaele Maglione, Francesco Timpone
Summary: Polymers have widespread applications in various industries and their viscoelastic properties are essential for accurately designing and predicting the dynamic behavior of products in a virtual environment. Traditional methods like Dynamic Mechanical Analysis (DMA) are being replaced by innovative non-destructive techniques for characterizing and monitoring the performance of polymer components. The Time-Temperature Superposition Principle (TTSP) is an empirical procedure that extends a polymer's viscoelastic behavior across a wider frequency range.
Article
Materials Science, Textiles
Neeraj Mandlekar, Bharti Rana, Pooja Maurya, Bhupendra Singh Butola, Mangala Joshi
Summary: Time and temperature-dependent viscoelastic properties of synthetic fabrics were studied using the dynamic mechanical analyser. The creep study revealed that PET fabric showed greater creep resistance compared to PA and PP fabrics, even after 10 years. In the stress relaxation study, all fabrics showed a decrease in relaxation modulus with increasing temperature, with PA fabric showing the slowest reduction. The initial modulus, glass transition temperature, and crystallinity of the fibers played a crucial role in determining the creep and stress relaxation behavior of the fabrics. The use of the viscoelastic Burger's model and Weibull distribution equation model was validated for creep and stress relaxation analysis.
FIBERS AND POLYMERS
(2023)
Article
Chemistry, Multidisciplinary
Kaiwen Hu, William Cardenas, Yi-Chi Huang, Huijing Wei, Robert-Eric Gaskell, Eli Martel, Marta Cerruti, Thomas Szkopek
Summary: GO membranes with high stiffness, low mass density, and high loss coefficient are ideal for efficient and broadband electro-acoustic transduction. The viscoelastic response of GO membranes and their performance in dynamic loudspeakers demonstrate their superiority over aluminum membranes.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Polymer Science
Yu Kashiwagi, Osamu Urakawa, Sheng Zhao, Yoshinori Takashima, Akira Harada, Tadashi Inoue
Summary: The study found that movable crosslinks have different effects on the dynamics of the network in two time scales, delaying or inhibiting the flow of the system. A new relaxation process called slow mode was detected in the glass-to-rubber transition region, which is attributed to the rotational motion of rotaxane-type cyclodextrin moieties along the polymer backbone.
Article
Food Science & Technology
Yizhou Ma, Maarten A. I. Schutyser, Remko M. Boom, Lu Zhang
Summary: This study used thermal imaging to monitor the cooling and deformation of thermoreversible food materials during HE-3DFP. The results showed that slow cooling and prolonged printing time caused structural deformation, and the surface temperature of printed objects served as a good indicator for structural stability. Solidification mechanisms were necessary to prevent deformation during printing.
INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES
(2022)
Article
Materials Science, Paper & Wood
Hui Peng, Tianyi Zhan, Jiali Jiang, Yaoli Zhang, Jinzhen Cao, Jianxiong Lu
Summary: This study investigated the effects of moisture and temperature on the creep behavior of Chinese fir, revealing that the time-moisture and time-temperature superposition principles can describe the evolution of creep and overlap under certain conditions. An equivalent relationship between moisture and temperature effects on creep behavior was assumed based on the results obtained.
WOOD MATERIAL SCIENCE & ENGINEERING
(2022)
Article
Materials Science, Characterization & Testing
Vincent Dorleans, Remi Delille, Delphine Notta-Cuvier, Franck Lauro, Eric Michau
Summary: The use of thermoplastics in the automotive industry is increasing, requiring the characterization of their thermo-mechanical behavior under various conditions. The time-temperature-superposition principle can be extended to the viscoplastic domain, reducing the number of required tests. A new approach using a limited number of tests enables the characterization of whole thermoplastic behavior with good correlation between numerical simulations and experiments.
Article
Multidisciplinary Sciences
Jun Koyanagi, Kodai Hasegawa, Akio Ohtani, Takenobu Sakai, Kenichi Sakaue
Summary: In this study, a non-linear viscoelastic-viscoplastic constitutive equation for polyamide 6 (PA6) is proposed with a new empirical model suggested to accurately predict viscoplastic strain. Creep, recovery, and stress relaxation tests were conducted to evaluate the material's behavior, while the time-temperature superposition principle was applied to consider the effect of elevated temperature on the material's viscoelastic-viscoplastic behavior.
Article
Polymer Science
Atsuomi Shundo, Mika Aoki, Satoru Yamamoto, Keiji Tanaka
Summary: Epoxy resins play an important role in material properties due to their network structure obtained by curing epoxy and amine compounds. Time-temperature superposition principle was revisited for dynamic viscoelastic functions of these resins. The study found that the thermal expansion of free volume was suppressed with increased cross-linking density, leading to better design of thermosetting polymers and long-term durability prediction.
Article
Engineering, Mechanical
Mohamed Mounir Boussabnia, Daniel Perraton, Herve Di Benedetto, Sebastien Lamothe, Marc Proteau
Summary: Time-temperature superposition principle (TTSP) was validated in the fatigue domain for high modulus asphalt concrete (HMAC). The results showed that HMAC with fatigue damage remains thermorheologically simple (i.e., respects the TTSP) in the studied temperatures range.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2023)
Article
Mechanics
Guowei Zhang, Jianmin Ge
Summary: This study investigates a theoretical model of a simply supported curved plate structure in a temperature gradient by using modal superposition and temperature field analysis. The results of theoretical calculations are in good agreement with those obtained using finite element methods. The study also analyzes the acoustic radiation characteristics of the curved plate. The impact of temperature on the structure and acoustic properties is evaluated.
ARCHIVE OF APPLIED MECHANICS
(2022)
Article
Materials Science, Composites
Hanyang Gao, Bang Zhang, Fukang Yang, Jiahao Jiang, Guoxin Hu
Summary: This paper investigates the enhancement of mechanical properties of casting polyurethane (CPU) by adding barium ferrites (BFs) as filler. The results show that the strain energy density (SED) and hysteresis energy density (HED) of the nano-BFs-filled polyurethane composite increase significantly, while the hysteresis loss remains almost unchanged. The storage modulus and loss modulus of all nano-BFs-filled polyurethane composites are significantly higher than that of pure polymer, and a small amount of nano-BFs is sufficient to reduce the loss factor, making the material more elastic.
POLYMER COMPOSITES
(2022)
Article
Engineering, Electrical & Electronic
S. Sampathkumar, R. Rajeswari
Summary: The phases of agriculture and horticulture include cultivation of crops, conservation of plants, restoration of landscape, and management of soil. Diseases such as Bacterial scourge, Bacterial Leaf Blight, Brown spot, Seeding blight, Leaf streak, Powdery Mildew, Fire Blight, Black Rot and Apple Scab can cause manufacturing and financial loss in the farming industry worldwide. Computer Aided Detection (CAD) using digital imaging is an emerging trend for disease detection and analysis in horticulture.
IETE JOURNAL OF RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Veerapandiyan Veerasamy, Noor Izzri Abdul Wahab, Rajeswari Ramachandran, Salah Kamel, Mohammad Lutfi Othman, Hashim Hizam, Rizwan Farade
Summary: This paper introduces a novel technique for power flow analysis using a generalized linear Hopfield neural network and Moore-Penrose Inverse, which is tested on various power systems to validate its effectiveness and robustness. Comparisons with other well-known power flow techniques are made to evaluate the computational cost and convergence of the proposed method.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Agronomy
K. S. Subramanian, R. Rajeswari, M. Yuvaraj, D. Pradeep, M. Guna, G. Yoganathan
Summary: This laboratory study investigated the response of sunflower to nano-sulfur application compared to conventional sulfatic fertilizer. The results showed that nano-sulfur had a prolonged sulfur release, higher dry matter production, seed yield, and oil content than gypsum fertilized plants, indicating that nano-sulfur can improve the available sulfur in soils.
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
(2022)
Article
Computer Science, Artificial Intelligence
Veerapandiyan Veerasamy, Noor Izzri Abdul Wahab, Rajeswari Ramachandran, Mohammad Lutfi Othman, Hashim Hizam, Jeevitha Satheesh Kumar, Andrew Xavier Raj Irudayaraj
Summary: This paper introduces a novel PID controller based on neural networks for load frequency control in hybrid power systems, demonstrating its effectiveness through optimization and testing in a two-area HPS system. The proposed controller shows superior performance in terms of response speed and control effort reduction compared to other controllers, making it suitable for stable operation in modern power networks with green energy technologies.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Biochemistry & Molecular Biology
A. Jayanthi, A. Kistan, Mercy Marcus, R. Rajeswari
Summary: This paper analyzes the linguistic aspects of chemical symbols and terms and their impact on chemistry nomenclature. The nuances of language, including etymology, personal and place names, resource materials, and colors, play a significant role in naming chemicals. The study concludes that language and information are inseparable as language serves as a means of expression while science expresses facts.
ORIENTAL JOURNAL OF CHEMISTRY
(2022)
Retraction
Telecommunications
S. Sivaranjani, R. Rajeswari
WIRELESS PERSONAL COMMUNICATIONS
(2023)
Article
Automation & Control Systems
K. Gerard Joe Nigel, R. Rajeswari
Summary: Solar models have gained significant attention in the modern electricity environment. Various MPPT techniques are employed in solar energy installations to generate maximum energy output. Improving the energy efficiency of solar PV devices has become a major concern, and multiple MPPT approaches have been researched to achieve this.
Article
Engineering, Electrical & Electronic
S. Rajakumar, V. Agalya, R. Rajeswari, Rohit Pachlor
Summary: In this study, three deep learning classifiers, namely PSPNet, ShCNN, and Deep CNN, are used to segment, detect, and classify tumor regions from MRI. Pre-processing is done by extracting the region of interest to remove irrelevant noise. PSPNet segments the tumor regions for better classification. ShCNN detects the segmented images as normal or abnormal. Deep CNN is used for tumor classification into benign, edema, core, or malignant. The classifiers are trained using a political exponential deer hunting optimization algorithm. Performance analysis shows high accuracy, sensitivity, and specificity for tumor detection and classification.
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Article
Engineering, Biomedical
Ramachandro Majji, Balajee Maram, R. Rajeswari
Summary: Cancer is a major threat to human life and a difficult aspect of human disease history. Due to clinical result differences, accurate cancer survival prediction remains a challenge. To address this, a robust approach called Deep Recurrent Neural Network-based Chronological Horse Herd Political Optimization (DRNN-based CHHPO) is proposed. The approach utilizes gene selection using Chronological Horse Optimization (CHO) and strengthens gene features using technical indicators. Survival prediction is completed through DRNN trained by CHHPO, which combines Political optimizer (PO) and CHO. The developed technique achieves superior performance with a Prediction Error (PE) of 0.456 and minimal Root Mean Square Error (RMSE) of 0.467.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Jeevitha Kandasamy, Rajeswari Ramachandran, Veerapandiyan Veerasamy, Andrew Xavier Raj Irudayaraj
Summary: This paper proposes a distributed control strategy (DCS) for coordinating frequency control of multi microgrid (MMG) system. A leader-follower based consensus control law is derived for controlling each individual MG in the cluster. An adaptive fuzzy tuned recurrent neural network (FRNN) technique is proposed to design the optimal fractional order proportional-integral-derivative (FOPID) controller for distributed generation in the MG. The results show that the proposed control outperforms than other state-of-the-art.
2023 IEEE IAS GLOBAL CONFERENCE ON RENEWABLE ENERGY AND HYDROGEN TECHNOLOGIES, GLOBCONHT
(2023)
Article
Engineering, Multidisciplinary
K. Gerard Joe Nigel, J. Jenisha, R. Rajeswari, D. Pamela, P. Manimegalai
Summary: There was global shock from the COVID-19 epidemic, and social isolation is crucial as it spreads swiftly. This paper proposes an IoT method using LoRa technology to mitigate overcrowding and disease transmission in public buses. By equipping buses with LoRa transmitters and receivers, the system can indicate bus availability and limit passenger capacity through an automatic door mechanism. The bus occupancy data is sent to Google Firebase and can be accessed through a mobile app, enabling authorities to analyze and act for improved bus safety and COVID-19 containment.
INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION
(2023)
Article
Education, Special
R. Rajeswari, Lakshmi A. S. Priya, Sushruta Sujeet, S. Swetha, S. Elakkiya
Summary: Sue Monk Kidd is a notable writer in African American literature who addresses spiritual memoir and discrimination in American society. The paper focuses on the sufferings and double oppression faced by black women, as well as the verbal and mental abuse inflicted upon them by white society. It also highlights the significance of the Civil Rights Act of 1964 in granting equal rights to black people and explores how the protagonist overcomes her struggles and registers to vote.
INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION
(2022)
Article
Education, Special
R. Rajeswari, S. Elakkiya, S. Swetha, Lakshmi A. S. Priya, Sushrutha Sujeeth
Summary: The novel "Life is what you make it" by Preeti Shenoy explores the themes of love and pain through the story of the protagonist, Ankita Sharma, who overcomes challenges with her strong will and determination. It sends a positive message to readers, encouraging them to face difficulties head-on.
INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION
(2022)
Article
Education, Special
R. Rajeswari, Sushruta Sujeet, Lakshmi A. S. Priya, S. Swetha, S. Elakkiya
Summary: This article introduces Meena Kandasamy, an Indian writer, and her debut novel "The Gypsy Goddess", which depicts the caste violence that occurred in Kilvenmani Village fifty years ago. The novel aims to bring the voice of the marginalized Dalit people to light by portraying their discrimination and suffering.
INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION
(2022)
Article
Education, Special
R. Rajeswari, S. Swetha, S. Elakkiya, Lakshmi A. S. Priya, Sushruta Sujeet V
Summary: "House of Cards" is a novel that explores the conflicts in a marriage and the impact of the pursuit of money on human nature. It revolves around the lives of Mridula and Sanjay, an Indian couple, and reveals the changes and conflicts in their relationship caused by Sanjay's ambition for wealth.
INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION
(2022)
