Manjula Selvam

REST Labs, Research and Development, Faculty Member

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Address: Kadhiripuram
M Savlour, po

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Papers by Manjula Selvam

Evaluation of Polymer Composites Using the WSM Method: A Comparative Analysis of MMCs, CMCs, Bio-Composites, and CFRPs

Journal on Materials and its Characterization, 2026

This comprehensive study evaluates polymer composites through a systematic analysis of their mech... more This comprehensive study evaluates polymer composites through a systematic analysis of their mechanical, thermal, chemical, and environmental properties using the Weighted Sum Method (WSM). The research explores five distinct composite This encompasses metal matrix composites (MMCs), ceramic matrix composites (CMCs), along with various other composite types. made with natural fibers, and Carbon Fiber Reinforced materials. Composites. Materials. Plastics (CFRP), and an additional variant of Natural Fiber Composites. The investigation reveals a nuanced landscape of material performance, demonstrating that no single composite material universally excels across all properties. Natural Fiber Composites emerged as the top-performing material, achieving the highest overall score (Qj = 1), primarily due to their balanced properties and environmental compatibility. Metal Matrix Composites secured second place with a robust Qj value of 0.8004, distinguished by exceptional mechanical properties and high thermal conductivity. Key findings highlight the critical importance of context-specific material selection. Each composite type presents unique advantages: Natural Fiber Composites offer sustainability, MMCs provide superior mechanical strength, Ceramic Matrix Composites demonstrate thermal stability, and Carbon Fiber Reinforced Plastics exhibit remarkable strength-to-weight ratios. The research underscores several significant insights:-Material selection must be tailored to specific application requirements-Sustainable materials are increasingly competitive-Composite materials offer diverse engineering possibilities Recommendations for future research include:-Enhancing bio-based composite performance-Developing hybrid composite materials-Exploring innovative manufacturing techniques-Improving environmental sustainability of composites This research advances the field of materials science. providing a comprehensive framework for evaluating polymer composites. It emphasizes the potential for advanced engineering solutions through precise material design and selection, ultimately supporting technological innovation and sustainable development.

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The Role of Reinforcement Matrix Interfaces in Advanced Composite Materials using Weighted Sum Method

by Manjula Selvam and Chitra Periyasami

Journal on Materials and its Characterization, 2026

Advanced composite materials have emerged as a transformative solution in modern engineering due ... more Advanced composite materials have emerged as a transformative solution in modern engineering due to their superior mechanical properties achieved through the combination of matrices and reinforcements. The effectiveness of these composites largely depends on the reinforcement–matrix interface formed during manufacturing. Any incompatibility between the reinforcement and matrix materials may result in premature structural failure, emphasizing the importance of appropriate material selection and design optimization. Advanced composites are increasingly significant in aerospace applications because of their high strength-to-weight ratio, durability, thermal resistance, and fatigue performance. Consequently, the development of improved resins, enhanced bonding agents, and high-performance reinforcements has become essential for meeting future technological demands. This study evaluates different advanced composite materials, including Carbon Fiber Reinforced Polymer (CFRP), Glass Fiber Reinforced Polymer (GFRP), Aramid Fiber Reinforced Polymer (AFRP), Natural Fiber Reinforced Polymer (NFRP), and Basalt Fiber Reinforced Polymer (BFRP). The evaluation criteria considered tensile strength, thermal resistance, cost, and density using the weighted sum method. The results reveal that BFRP achieved the highest overall ranking because of its balanced mechanical and thermal properties, whereas GFRP obtained the lowest ranking among the evaluated composite materials.

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Multi-Criteria Evaluation of Advanced Polymer Composites Using TOPSIS Method: A Comparative Analysis of Material Performance

by Vidhya Prasanth and Manjula Selvam

REST Publisher, 2026

This study presents a comprehensive evaluation of polymer composites analyzing five distinct cate... more This study presents a comprehensive evaluation of polymer composites analyzing five distinct categories: metal composites, ceramic composites, wood-based composites, natural fiber composites, and concrete composites. The analysis focused on four critical performance criteria: lightweight properties, corrosion resistance, customization of properties, and ease of manufacturing, with each criterion weighted equally at 0.25. The evaluation process involved normalizing performance data, applying weightages, and calculating to determine the final rankings. The results revealed that metal composites achieved the highest ranking with a Ci value of 0.7632, followed by concrete composites (Ci = 0.5404), natural fiber composites (Ci = 0.4737), wood-based composites (Ci = 0.4610), and ceramic composites (Ci = 0.4308). Notable findings include concrete composites' exceptional lightweight properties (99.66) and ceramic composites' superior customization potential (99.23), while metal composites demonstrated excellent corrosion resistance (85.42). The study highlights that while no single composite excels in all criteria, each type possesses unique strengths suitable for specific applications. This analysis provides valuable insights for materials selection in various engineering applications, particularly in sectors requiring optimal balance between lightweight properties, durability, customization, and manufacturability. The findings contribute to the understanding of polymer composite performance characteristics and can guide future research in composite material development and application-specific selection processes.

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Investigating the Climate Change and its Impact on Biodiversity using EDAS Method

by Sathiyaraj Chinnasamy and Manjula Selvam

Journal on Applied and Chemical Physics, 2026

Climate change has emerged as a major global threat to biodiversity, inflicting severe impacts on... more Climate change has emerged as a major global threat to biodiversity, inflicting severe impacts on ecosystems and species. Shifts in temperature, precipitation, and climatic conditions alter natural habitats and disrupt ecological equilibrium, leading to habitat degradation and fragmentation. As rising temperatures affect the physiology, behavior, migration patterns, and distribution of organisms, survival becomes increasingly difficult for many species. Some species are unable to adapt rapidly enough to changing environmental conditions or relocate, potentially leading to population declines or extinction. Furthermore, climate change exacerbates existing environmental challenges-such as pollution, habitat destruction, and the spread of invasive species-thereby intensifying the pressure on biodiversity. Extreme weather events-including droughts, storms, and floods-further damage ecosystems and undermine their stability. Variations in precipitation patterns also impact water availability within terrestrial and freshwater ecosystems. Marine biodiversity faces an equally grave threat due to ocean acidification, caused by increased carbon dioxide absorption, which negatively affects coral reefs and shellfish populations. The Evaluation based on Distance from Average Solution (EDAS) method for assessing the accuracy of supervised classification has emerged as a key technique for feature selection and data preprocessing in environmental studies. Key mitigation measures include ecosystem restoration, the promotion of sustainable livelihoods, community empowerment, climate-resilient agriculture, and integrated water resource management. According to the ranking results, Integrated Water Resources Management has the greatest impact on biodiversity conservation, whereas climate-resilient agriculture demonstrates relatively lower significance.

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A Study on Economic Models of Animal Communication Methods

by Vidhya Prasanth and Manjula Selvam

REST Publisher, 2024

Economic models of animal communication are theoretical frameworks that attempt to explain the ev... more Economic models of animal communication are theoretical frameworks that attempt to explain the evolution and function of communication signals in animals from an economic perspective. These models typically assume that animals have limited resources, and that communication is a way for them to allocate these resources effectively and efficiently. One of the most well-known economic models of animal communication is the handicap principle, which was first proposed by Amotz Zahavi in 1975. The handicap principle suggests that some animals have evolved to produce costly signals, such as elaborate courtship displays or loud vocalizations, as a way of demonstrating their genetic quality to potential mates or rivals. The theory is that only animals with high genetic quality can afford to produce such costly signals without harming their overall fitness, and therefore these signals serve as honest indicators of genetic quality. Another economic model of animal communication is the game theory model, which was developed by John Maynard Smith and Richard Dawkins in the 1970s. The game theory model assumes that communication signals are used by animals to signal their intentions or strategies in competitive situations, such as fights over resources or mate choice. The model predicts that communication signals will be honest and reliable when both the sender and receiver have a shared interest in the outcome of the interaction, but may be deceptive or unreliable when there is a conflict of interest between the two parties. Other economic models of animal communication include the public information model, which suggests that animals use communication signals to gather information about their environment and the behaviour of other animals, and the sensory drive model, which proposes that animals use communication signals to attract mates or communicate with conspecifics in environments where there is strong selection for signal detection. Overall, economic models of animal communication provide a useful framework for understanding the evolution and function of communication signals in animals, and have led to a number of important insights into the dynamics of animal behaviour and social interactions. Animals use signs to communicate, such as visual, auditory, or sound-based cues; Pheromones, or tactile, tactile signals, are examples of chemicals. Animals that communicate with one another find partners, establish dominance, defend their territory, plan group behavior, and tend to their young. Several species rely on calls, non-vocal auditory bursts like a dolphin's tail grabbing in the water, bioluminescence, olfactory cues, chemical cues, tactile cues, visual clues, and postural movements as ways of communication. Animals' communication is the exchange of information that influences the present or future behavior of the recipients between one or more animals (the recipient or recipients) and one or more animals (the sender or senders). Auditory, tactile, and visual communication are the three main modes of communication between people and animals. An early illustration of auditory communication is when a dog barks at its owner to show its happiness at receiving food. Animals' ability to communicate is an adaptation that aids in survival. Audio, visual, tactile, and chemical (taste and smell) forms of communication are all possible. Animals utilize communication to identify themselves, indicate territory, warn off predators, and attract mates.

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Application of a Focused Ion Beam System to Micro and Nano Engineering Using GRA Method

by Vidhya Prasanth, Devipriya Mani, and Manjula Selvam

rest publisher , 2026

As our society ages, the prevalence of age-related frailties increases. There is a pressing need ... more As our society ages, the prevalence of age-related frailties increases. There is a pressing need for tailored solutions to address these ailments effectively. The demand for tissue engineering is steadily rising, with a particular emphasis on utilizing stem cells to meet this need. Treatments incorporating ultrafast laser-matter interaction processes are becoming increasingly prominent, thanks to their numerous appealing attributes. These include Nano-scale spatial resolution, no thermal characteristics, and the ability to facilitate non-destructive engineering procedures. This review discusses innovative laser-based methods for printing materials suitable for biological applications and for modifying surfaces at the micro-and nanoscale. Simultaneous methods involve solving a series of measurements concurrently, employing various modes, discrete or continuous. On the other hand, information transmission techniques focus on modeling unique scales and injecting reflections at a continuous level within messaging programs Investigating the utilization of Multi-Attribute Decision Making (MADM) methods in facilitating vertical handovers within wireless networks, this study delves into the integration of weighing with Gray Rational Analysis (GRA). It evaluates the effects of these techniques and ultimately aims to enhance the precision of fault diagnosis across the entirety of the power grid. Specifically, it reanalyzes faults within overlapping regions utilizing the GRA methodology. The viability and effectiveness of the approach are assessed through examination of two instances. Concurrently, a combination of gray communication analysis and analytic hierarchy process is employed to construct an assessment framework. This framework adeptly manages uncertainties in water infiltration impact indices, providing a literal representation of the significance of each effect. Based on the analysis of technological advancements within software companies, a study was conducted to identify key traits. Subsequently, an assessment metric for innovation proficiency was devised, focusing on the capacity to introduce and develop novel technologies. This evaluation utilizes both Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA) algorithms for estimation purposes. Unique Properties is got the first rank whereas is the Challenges and Opportunities is having the Lowest rank.