Browse Topic: Materials

Items (64,809)

Structural Analysis of Two-Wheeler Handlebars under Varied Loads

2025-28-0053To be published on 02/07/2025

This study presents a comprehensive structural analysis of a two-wheeler handlebar subjected to various loading conditions, aiming to evaluate its strength, durability, and safety. During operation, two-wheelers encounter multiple forces, making the handlebar a critical component for rider control and safety. The analysis begins by investigating the different types of loads experienced during typical riding scenarios, including static loads when the bike is stationary, and dynamic loads arising from rider movements, braking, and handling. The primary objective is to understand how these loads impact the handlebar's structural integrity. To achieve this, critical load cases are identified and categorized. Braking loads, which apply force primarily in the forward direction due to deceleration, are examined. Manhandling loads are analyzed to understand the multidirectional forces acting on the handlebar during transportation and parking. Additionally, vertical loads are assessed

Prajapati, Akash, Rathore, Avijit Singh, Bhaskara Rao, Lokavarapu

Enhancing Disc Brake Performance: Investigating Squeal Noise, Wear, and the Application of Functionally Graded Materials in Brake Rotors

2025-28-0162To be published on 02/07/2025

Disc brakes play a vital role in contemporary automotive braking systems, offering a dependable and effective means of decelerating or halting a vehicle. The disc brake assembly functions by converting the vehicle's kinetic energy into thermal energy through friction. Two key factors that greatly influence the brake assembly's performance and user experience are squeal noise and wear performance. This paper delves into the fundamental mechanisms behind squeal noise and assesses the wear performance of the disc brake assembly. Functionally graded materials (FGMs) are an innovative type of composite material, characterized by gradual variations in composition and structure throughout their volume, leading to changes in properties such as mechanical strength, thermal conductivity, and corrosion resistance. FGMs have emerged as a groundbreaking solution in the design and manufacturing of brake rotors, addressing significant challenges related to thermal stress, wear resistance, and overall

C V, Prasshanth, S, Gurumoorthy, Bhaskara Rao, Lokavarapu, S, Sridhar, S, Badri Narayanan, Kumar, Ajay, Biswas, Sayan

Forced Vibration Analysis of Cracked Functionally Graded Beams

2025-28-0169To be published on 02/07/2025

This study investigates the forced vibration characteristics of functionally graded material (FGM) beams with square cross-sections featuring V-shaped cracks. FGMs, characterized by a gradual transition in mechanical composition from a ceramic to a metallic surface, offer unique advantages in various engineering applications due to their non-uniform microstructure, which imparts varying material properties throughout the structure. This research employs ANSYS Workbench to conduct a comprehensive numerical analysis, focusing on evaluating the frequencies and mode shapes of cracked FGM beams under simply supported boundary conditions. The analysis delves into the impact of three critical crack parameters: crack opening width, crack depth, and crack location. The findings highlight that the crack opening width significantly influences the vibrational frequencies of the FGM beam. Specifically, as the crack opening width increases from 0.002 meters to 0.01 meters, the frequencies decrease

D, Manish, C V, Prasshanth, N, Suhas, Bhaskara Rao, Lokavarapu

Thermal Buckling Analysis of Axially Layered Aluminium Zirconia Functionally Graded Beam

2025-28-0120To be published on 02/07/2025

This study investigates the thermal buckling behavior of functionally graded material (FGM) thin beams with potential applications in automotive structures. The FGM beam is comprised of four axially layered sections, where the volume fraction of metal and ceramic varies across the thickness. The buckling analysis is conducted under three different boundary conditions: clamped-clamped, simply-supported-simply-supported, and clamped-simply-supported. The primary objective is to identify the optimal thermal buckling temperature of the FGM thin beam using the Taguchi optimization method. The beam configurations are designed based on a Taguchi L9 orthogonal array and analyzed using finite element software (ANSYS). Layers 1-4 of the axially layered beam are considered process parameters, while the thermal buckling temperature is the response parameter. Minitab software performs an Analysis of Variance (ANOVA) at a 95% confidence level to determine the most significant layer and its relative

Pawale, Deepak, Bhaskara Rao, Lokavarapu

Optimizing Titanium Alloy Grade 7 Machining with Grey Relational Analysis

2025-28-0049To be published on 02/07/2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in materials that conduct electricity, irrespective of their level of hardness. Due to the growing need for superior products and the requirement for quick design adjustments, decision-making in production has become more complex. This study focuses on Titanium Grade 5 and suggests creating predictive models utilizing a Taguchi-grey technique to achieve multi-objective optimization in ECM. The trials are structured based on Taguchi's principles, utilizing Taguchi-grey relational analysis (GRA) to simultaneously maximize several performance indicators. This entails optimizing the pace at which material is removed, decreasing the roughness of the surface, and attaining precise geometric tolerances. ANOVA is used to assess the relevance of process variables that affect these measures. The suggested predictive technique for Titanium Grade 5 outperforms current models in terms of flexibility

Pasupuleti, Thejasree, Natarajan, Manikandan, Kumar, V, Sagaya Raj, Gnana, Krishnamachary, PC, Silambarasan, R

Cutting-Edge Coating Materials for Dual Fuel Diesel Engines Using Acetylene Aspiration

2025-28-0134To be published on 02/07/2025

A diesel engine with a Yttria Stabilised Zirconium (YSZ) thermal barrier layer (TBL) on the piston crown was used in an experiment. The aim of the investigation was to evaluate the influence of the thermal barrier layer on the efficiency and pollution levels of a diesel engine. The selection of YSZ as the coating material was based on its desirable physical properties including a high coefficient of expansion when exposed to heat, low degree of thermal conductivity, and a high Poisson's number. These characteristics make it a suitable material for use in coatings applied to engine components. In addition to their current research, the scientists are also focusing on identifying sustainable substitutes for conventional petroleum fuels. This is because of the growing concern over environmental impacts and the limited availability of fossil fuel resources. The researchers are seeking new options that are both environmentally friendly and capable of meeting the world's energy demands. By

Sagaya Raj, Gnana, Natarajan, Manikandan, Pasupuleti, Thejasree

Thermal Buckling Analysis of Axially Layered Aluminium Silicon Nitride Functionally Graded Thin Beam using Taguchi Method

2025-28-0172To be published on 02/07/2025

This study investigates the thermal buckling behavior of functionally graded material (FGM) thin beams, specifically targeting their application in engine hood panels. The FGM material utilizes Aluminum and Silicon Nitride, offering a combination of metal's strength and ceramic's heat resistance. The analysis focuses on optimizing the critical buckling temperature under various boundary conditions, mimicking the real-world scenario of an engine hood experiencing uneven heating. The FGM structure is designed with four axially arranged layers, where the ceramic and metal content gradually changes throughout the thickness. Finite element analysis software (ANSYS) is employed to evaluate the buckling behavior under different temperature loads. To optimize the thermal performance of the engine hood panel, the Taguchi L9 orthogonal array technique is implemented using Minitab 19 software. Layers 1-4 of the FGM beam are considered process parameters, and the critical buckling temperature

Pawale, Deepak, Bhaskara Rao, Lokavarapu

Investigating the Influence of Fiber Orientation on Frequency Response of Laminated Composite Plates using Taguchi Method

2025-28-0183To be published on 02/07/2025

This study investigates the frequency response characteristics of laminated composite rectangular plates, focusing on the influence of fiber orientation. The composite plates, composed of 12 layers of glass fiber reinforced polymer composites (GFRP), were chosen for their superior mechanical properties and broad applicability in engineering fields, including the automotive sector. In automotive engineering, these composites are valued for their lightweight properties and high strength, contributing to enhanced performance and fuel efficiency. The analysis employed a combination of finite element methods and Taguchi experimental design techniques to understand how fiber orientation affects the dynamic behavior of these plates. Finite element analysis (FEA) was conducted using ANSYS Parametric Design Language (APDL), a computational tool known for handling complex geometries and material behaviors accurately. This software enabled precise simulations of the dynamic responses of the

N, Suhas, C V, Prasshanth, U, Anish Kumar, Bhaskara Rao, Lokavarapu

Fabrication And Analysis of Pneumatically Actuated Soft Robotic Gripper With Negative Pressure

2025-28-0145To be published on 02/07/2025

Soft-bending actuators are gaining considerable attention in robotics for handling delicate objects and adapting to complex shapes, making them ideal for biomimetic robots. Soft pneumatic actuators (SPAs) are favoured in soft robotics due to their compliance and safety features. Using negative pressure for actuation, it enhances stability by reducing the risk of sudden or unintended movements, crucial for delicate handling and consistent performance. Negative pressure actuation is more energy-efficient, safe and are less prone to leakage, increasing reliability and durability. This paper involves development of a new soft pneumatic actuator design by comparing various designs and to determine its performance parameters. This paper depicts on designing, and fabricating flexible soft pneumatic actuators working under negative pressure for soft robotic applications. Uniaxial tensile tests were conducted to characterise the properties of materials used to fabricate the soft actuator, and

Warriar J S, Sreejith, Sadique, Anwar, George, Boby

Finite Element Fatigue Life Prediction and Test Correlation for Seam Welded Joints in Sheet-Metal Assemblies

2025-28-0054To be published on 02/07/2025

Tractors, agricultural machines comprising diverse interconnected assemblies, collaboratively perform specific functions to attain desired outputs. Among these assemblies, the footstep assembly—an affixed structure or platform facilitating convenient access for the operator to the tractor cabin or platform. The components of the footstep assembly are fabricated from sheet metal and are connected using various joining technologies, such as bolts, welds, and others. During field operations, several failures have been noted in the footstep component, specifically at the weld connections. This paper delineates a methodology for simulating and predicting the occurrences of weld joint failures in the sheet-metal components. The inherent characteristics of the welding process lead to welded joints generally exhibiting a fatigue strength lower than that of the individual parts being joined. Additionally, welds are frequently applied at geometric features or points of section changes within a

Kumar, Arun, Pandey, Manoj Kumar, Thirugnanam, Vivekanndan, Mani, Suresh, Redkar, Dinesh

Innovative Automation Solutions for Agricultural Tractors: Boosting Efficiency and Reducing Fatigue

2025-28-0192To be published on 02/07/2025

This paper presents the automation of tasks performed by agricultural tractor operators at headlands, aimed at enhancing comfort and productivity while reducing operator fatigue. The system, developed through Electronic Depth & Draft Control, features automatic one-side braking based on wheel angle, automatic implement lift, and PTO rotation stop during headland turns. Field tests demonstrate up to 9% fuel savings and an 11% productivity increase. The advanced technology significantly boosts efficiency and cost-effectiveness, achieving a 24% increase in operator savings and overall productivity

M, Rojer Denny, Natarajan, Saravanan, Baskar, Augustin

Crash performance study on high-speed electric two wheeler battery enclosure

2025-28-0203To be published on 02/07/2025

The growth rate of Electric Vehicles (EVs) industry and the annual production rate have increased significantly over the years. This is due to the development of rechargeable electrical energy storage system (battery pack), which is the main power source for EVs. Lithium-ion batteries (LIBs) pack is predominantly used across all major vehicle category such as 2 wheelers, 3 wheelers and light commercial vehicle. LIB is one of the high energy-dense sources of volume. However, LIBs have a challenge to poses a risk of short circuits and battery pack explosions, when expose to an external damage. Controlled crash analysis is performed for various velocities ranging from 40 kmph to 70 kmph against an obstruction directly and at an offset from the wheel, so as to mimic the real-world crash of high-speed two-wheelers. The behaviour of the battery enclosure is examined through evaluating the structural integrity of the battery enclosure used in a realistic two-wheeler after crash at various

Venkatesan Sr, Aiyappan, Nelson, N Rino, Hariharan Nair, Adarsh

Effect of Hardening and Tempering Temperatures on the Mechanical Behavior of Alloy Steel

2025-28-0027To be published on 02/07/2025

Alloy steel possesses high strength, hardenability, fatigue strength, and good impact toughness. It is widely used for making various machine parts, automobile components, shafts, gears, connecting rods, and more. Hardening and tempering develop the optimum combination of hardness, strength, and toughness in engineering steel, thereby providing components with high mechanical properties. Hardening and tempering temperatures are crucial factors that affect the mechanical and metallurgical properties of 42Cr4Mo steel. In this research work, 42Cr4Mo alloy steel samples were subjected to hardening and tempering processes. The hardening temperatures were set at 830°C, 850°C, and 870°C, while the tempering temperatures were maintained at 590°C and 650°C. The test results show that hardening at 830°C and tempering at 590°C achieve high strength, which decreases as the temperature increases. Different hardening temperatures and constant tempering temperatures will be optimized to achieve the

Murugesan, Venkatasudhahar, Ganesan, Dharmalingam, Tarigonda, Hariprasad

Effect of Single Vacancy Defect on Fundamental Frequency of Single Walled Carbon Nanotube

2025-28-0111To be published on 02/07/2025

This paper studies the effect of single vacancy defect on the fundamental frequency of carbon nanotube using finite element method. Cantilevered and bridged boundary conditions have been used for carbon nanotube with and without attached mass. There is less effect on the frequency of cantilevered structure due to presence of defect at center rather than its presence at other positions. Presence of defect near to fixed end shows more effect on fundamental frequency of bridged structure as opposed to other positions. Cantilevered structure with mass attached shows increase in effect due to presence of defect when mass ranges from 10-3 to 10-6 femtogram, while it seems to remain constant with further decrease in mass. This paper is mainly concerned about the overall effect of single vacancy defect at the different positions and with different parameters of carbon nanotube with and without attached mass on the frequency and frequency shift. Nano materials are playing a vital role in all

Kharche, Gaurav, Bhaskara Rao, Lokavarapu, B, Srivatsan, Balakrishna Sriganth, Pranav, Biswas, Sayan

Influence of fibre weight fraction on the mechanical characteristics of the Caryota urens fiber reinforced polyester composite

2025-28-0114To be published on 02/07/2025

The present study aims to assess the tensile properties of caryota urens fibre reinforced polyester composites. Composites were fabricated with different fiber weight fraction starting from 5% to 30% with 5% increment. The testing of composite material was done using ASTM standards. The results indicated that the tensile, impact and flexural properties of composite material were increased up to 25% fiber weight fraction after that it has been reduced due factors like fiber distribution had not uniform and adhesion between fiber and matrix had be reduced. Optimal weight fraction found from this study is 25%. The maximum tensile, impact and flexural strength obtained for the composites were 36.22 MPa, 62.21 MPa and 96.21J/m

Santhanam, K, Raja, K., Naveen, M, Saranbala, M, M, Naveenkumar

Experimental Characterization of Fabricated (310) and (210) Symmetrical Tilt High-Angle Grain Boundaries in Bicrystalline Copper Thin Films Using NaCl Substrates

2025-28-0034To be published on 02/07/2025

A novel sintering method of bridging the two mechanically polished and oriented single-crystals together face-to-face in a non-environmental controlled atmosphere to fabricate the bicrystal substrate of NaCl of macroscopic thickness, with a common zone axis and having planarity over large areas, has been developed. Epitaxial [001] bicrystalline thin face-centered cubic (fcc) metal film of surface-reactive metal-containing tilt grain boundary across the interface is first grown in high vacuum directly by flash deposition on initially fabricated [001] oriented bicrystalline substrate of NaCl. The [001] tilt boundary, thus produced, is examined by electron microscopy to characterize grain boundary morphology and structure. The findings of some preliminary investigations are then presented. A distinct atomic structure is observed for {310} and {210} inclination. Both HAADF-STEM and Diffraction images reveal that such fabricated high-angle grain boundary accommodates minor deviations from

Dish, Nilabh, Gautam, Abhay, Behera, Rakesh, Banka, Hemasunder, Chavan, Pradeep

Characterization of Mechanical, Thermal, and Chemical Properties of Natural Fiber Composites: A Case Study of Bamboo Leaves and Coconut Leaves

2025-28-0112To be published on 02/07/2025

The research project focused on investigating the mechanical, thermal, and chemical properties of composite plates made from bamboo leaves and coconut leaves reinforced with epoxy resin that has received limited attention in previous studies. The bamboo and coconut leaves underwent alkaline treatment, were thoroughly washed with distilled water, and dried in sunlight for 24 hours. For the fabrication of three composite plates, Hand lay up method was employed according to the American Society for Testing and Materials (ASTM) standards. The compositions of the composite plates were varied as first Composition has 25 wt% bamboo leaves, 25 wt% coconut leaves and 50 wt% resin, the Second Composition has 30 wt% bamboo leaves, 30 wt% coconut leaves, and 40 wt% resin and the third composition has 35 wt% bamboo leaves, 35 wt% coconut leaves, and 30 wt% resin. Tensile test, shear and flexural tests helped determine the tensile strength, shear strength, and flexural strength of the composite

D R, Rajkumar, O, Vivin Lenin, R, Saktheevel, S, Edwin Roshan

Synthesis and characterisation of poly (aniline –co-chloroaniline) polymers and applications in automotive industries as paint coatings

2025-28-0037To be published on 02/07/2025

Polyaniline (PANI)-polymer based paints have emerged as a promising solution for enhancing the durability and performance of automobile surface coatings. These paint coatings offer superior corrosion resistance, conductivity, and environmental stability, making it an ideal. Here novel copolymers of dodecylbenzenesulfonic acid aided poly (aniline-co-m-chloroaniline) nanocomposites of various compositions were prepared by oxidative method in micellar solution. The nanocomposites were analyzed by using UV-Vis and FT-IR spectroscopic methods. The crystalline nature of the polymer was evidenced through XRD patterns. SEM revealed the presence of particles with spherical morphology 100 nm in diameter. The electrical activity of the doped polymer was found to be content increasing from 3:1 to 3:3 x 10-2 S/cm to 5.64 x 10-7 S/cm with chloroaniline. These copolymers are added as additives in manufacturing of paint. These novel paints offer multiple protective mechanisms, including barrier

Pachanoor, Vijayanand, Moorthi, Bharathiraja

Investigating Mechanical Properties of Jute Fiber and Alumina-Reinforced Epoxy Composites: Application of Taguchi and Grey Analysis for Automotive Components

2025-28-0113To be published on 02/07/2025

Natural fiber composites hold significant promise for a range of engineering applications due to their exceptional characteristics, which include substantial weight reduction, high strength, and cost-effectiveness. These materials are also biodegradable and renewable, adding to their appeal in sustainable engineering practices. This research focuses on evaluating the mechanical properties of jute fiber and AlO3-reinforced polymer composites, exploring their potential for advanced engineering uses. The study employs the Taguchi method with an L9 orthogonal array, incorporating three levels and three factors to systematically explore various combinations of process variables in the fabrication of these polymer composites. The primary goal is to optimize the mechanical properties of the composites, including tensile modulus, tensile stress, and weight percentage increase. Detailed investigations are conducted to understand the effects of these process variables on performance metrics. The

Somsole, Lakshmi Narayana, Natarajan, Manikandan, Pasupuleti, Thejasree, Katta, Lakshmi Narasimhamu, Vivekananda, Soma

Investigation of Mechanical, Barrier, and Tribological Properties of Jute/Glass Fiber Hybrid Epoxy Composites

2025-28-0031To be published on 02/07/2025

In the present study, jute/glass fiber-reinforced epoxy-based polymer hybrid composites were fabricated using the resin infusion technique. To compare various properties, composites were fabricated from pure jute fiber (100% jute), pure glass fiber (100% glass), and hybrid composites containing 75% jute and 25% glass fiber, 50% jute and 50% glass fiber, and 25% jute and 75% glass fiber. Various physical, mechanical, and tribological analyses were conducted. The results revealed that the hybrid composite containing 25% jute and 75% glass fiber exhibited the best performance, with a tensile strength of 177 MPa, a flexural strength of 188.3 MPa, an impact strength of 130 kJ/m², a storage modulus of 17,050 MPa, a loss modulus of 2,883 MPa, and minimal moisture absorption and wear loss. Compared to the pure jute fiber composite, this hybrid composite showed a 172% increase in tensile strength, a 278% increase in flexural strength, a 238% increase in impact strength, a 184% increase in

J, Chandradass, T, Thirugnanasambandham, M, Amutha Surabi, P, Baskara Sethupathi, Rajendran, R, Murugadoss, Palanivendhan

Enhancing Solar Still Productivity with Aluminium Oxide Nanoparticles and Phase Change Materials

2025-28-0026To be published on 02/07/2025

The present study is focused on the integration of phase change materials (PCMs) and Al2O3 nanoparticles into solar stills presents a promising approach to enhance their efficiency. This paper explores the design and performance analysis of a solar still system incorporating PCMs and Al2O3 nanoparticles with different concentration like 200ppm and 400ppm. The primary goal is to investigate the impact of these enhancements on the solar still's productivity and thermal efficiency.The Aluminium Oxide Nanoparticle were synthesized by Sol-Gel method. The Aluminium Oxide particles were characterized by XRD, SEM, EDS, and FTIR etc. In this experiment TN+30 was used as phase change materials and Aluminium Oxide Nanoparticles used for energy storage materials. The water is taken about 15(ltrs) and the optimal depth of water found to be 1cm. The energy materials TN+30 along with Al2O3 shown improvement in collection efficiency with 200ppm and 400ppm was 21.65% and 32.97% when compared with PCM

R L, Krupakaran, Sagaya Raj, Gnana, Petla, Ratna Kamala, Kala, Lakshmi K, Anchupogu, Praveen

Optimization and Regression Modeling of Additive Manufacturing (Fused Deposition Modeling) of PETG Material for Automobile applications

2025-28-0146To be published on 02/07/2025

Additive Manufacturing (AM) techniques, specifically Fused Deposition Modeling (FDM), have transformed the manufacturing industry by allowing the creation of intricate shapes using different materials. Polyethylene Terephthalate Glycol (PETG) is a thermoplastic that is commonly used in additive manufacturing (AM) because of its advantageous mechanical properties, resistance to chemicals, and ease of processing. PETG is used especially for producing automotive components that require impact resistance, dimensional stability, and good surface finish. It can be used for interior trim parts, protective covers, and exterior components The primary objective of this study is to enhance the FDM process parameters for PETG material and construct regression models that can accurately forecast important performance metrics. An investigation was carried out through experimental trials to examine the impact of FDM process parameters, such as layer thickness, infill density, printing speed, and

Natarajan, Manikandan, Pasupuleti, Thejasree, Shanmugam, Loganayagan, Katta, Lakshmi Narasimhamu, Silambarasan, R, Kiruthika, Jothi

Optimization of Vibrational characteristics Using Taguchi Method for CNT Reinforced Composite Plates

2025-28-0174To be published on 02/07/2025

The integration of carbon nanotubes (CNT) into composite materials has revolutionized various high-performance industries, including aerospace, marine, and defence, due to their exceptional mechanical, thermal, and electrical properties. The critical nature of these applications demands precise control over the manufacturing process to ensure the optimal performance of the CNT-reinforced composites. This study employs the Taguchi approach to systematically investigate and determine the optimal proportion of CNT volume fraction, fiber volume fraction, and stacking sequence in composite materials to achieve the optimal fundamental frequency. The Taguchi method, known for its efficiency in optimizing design parameters with a minimal number of experiments, enables the identification of the most influential factors and their optimal levels for enhancing material properties. Our findings demonstrate that the proper arrangement and proportioning of these components significantly improve the

B, Srivatsan, Balakrishna Sriganth, Pranav, Bhaskara Rao, Lokavarapu, Biswas, Sayan

A hybrid algorithm for optimizing machining and spraying parameters in MQL-turning of Inconel 800H

2025-28-0042To be published on 02/07/2025

Inconel 800H superalloy is a difficult-to-turn material. This study aims to achieve optimal machining results, including reduced cutting force, improved surface roughness, and minimized residual stress, by optimizing input machining parameters like cutting speed, feed rate, spraying angle, and nozzle distance on Inconel 800H. The Taguchi L27 method is utilized for experimentation, while the Harris hawks optimizer (HHO) is applied in a multi-objective optimization model. Additionally, the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) is used to identify the optimal input parameters. Five distinct weight schemes were employed, including the Analytic Hierarchy Process (AHP), the Entropy weight method, Criteria Importance through Inter-Criteria Correlation (CRITIC), Grey relational analysis (GRA), and Principal Component Analysis (PCA) to determine response weights. The analysis revealed that the primary factor affecting all measured weights is the feed

Kannan, Venkatesan, Mokshajna, Kotha

Development of AI Prediction Tool for Fused Deposition Modeling of ABS Material for automobile applications

2025-28-0127To be published on 02/07/2025

Additive Manufacturing (AM), notably Fusion Deposition Modeling (FDM), has grown in popularity owing to its ability to create complicated forms from a variety of materials. This research aims to increase the efficiency and accuracy of the FDM process for Acrylonitrile Butadiene Styrene (ABS) material. ABS plastic material is an important material in automotive manufacturing due to its strength, durability, and versatility. It is used extensively for a wide range of components, including dashboard components, bumpers, fenders, exterior trim, and interior trim. The objective will be accomplished by the development of a prediction model using an Adaptive Neuro-Fuzzy Inference System (ANFIS). The research investigates the influence of FDM parameters, including layer height, nozzle temperature, and printing speed, on significant printing characteristics such as dimensional accuracy, surface quality, printing speed, and dimensional deviation. The essential data is derived from empirical

Natarajan, Manikandan, Pasupuleti, Thejasree, Kumar, V, Kiruthika, Jothi, Katta, Lakshmi Narasimhamu, Silambarasan, R

Optimization of machining parameters based on desirability function analysis for Stir Casted Aluminium Hybrid Metal Matrix Composites

2025-28-0119To be published on 02/07/2025

These days, aluminum and other material composites are indispensable for a wide range of engineering applications, including automotive-related ones. The machinability investigations of hybrid metal matrix composites (HMMC) made of Al 6061 are reported in this paper. Graphene nanoparticles (GNp) and boron carbide were used to reinforce Al6061 alloy for the experiment. Stir casting was used to create the hybrid composite under the right circumstances. Since HMMC is difficult to machine using traditional machining techniques, the advanced method of electrical discharge machining (EDM) was used. On stir-casted Al-B4C-GNP composites, EDM machinability investigations were conducted. Using input parameters such pulse on time, pulse off time, and peak current for the response of material removal rate (MRR) and surface roughness, Taguchi based Desirability function Analysis was used to optimize the EDM process parameters. The optimal machining parameters have been determined by the composite

Kala, Lakshmi K, Madhuri, K, Reddy, Damodara, Tarigonda, Hariprasad, R L, Krupakaran, Tharehallimata, Gurubasavaraju, Naidu, B Vishnu Vardhana

AI-Driven Optimization of Advanced Machining for Haste alloy by ANFIS Method

2025-28-0141To be published on 02/07/2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in materials that conduct electricity, independent of their level of hardness. Due to the increasing demand for superior products and the necessity for quick design modifications, decision-making in the manufacturing sector has become progressively more difficult. This study primarily examines the use of Inconel 625 in vehicle applications and suggests creating regression models to predict performance parameters in ECM. The experiments are formulated based on Taguchi's ideas, and mathematical equations are derived using multiple regression models. The Taguchi approach is employed for single-objective optimization to ascertain the ideal combination of process parameters for optimizing the material removal rate. ANOVA is employed to evaluate the statistical significance of process parameters that impact performance indicators. The proposed regression models for Inconel 625 are more versatile

Natarajan, Manikandan, Pasupuleti, Thejasree, D, Palanisamy, Silambarasan, R, Krishnamachary, PC

Vibrational, Thermal and Mechanical Performance Analysis of Hybrid Composite Plates Composed of Kenaf and Ridge Gourd Fibers with Waste Plastic Materials

2025-28-0030To be published on 02/07/2025

This study investigates the performance and highlights the mechanical, thermal, and vibrational characteristics of hybrid fibre composite plate composed of Kenaf Fibre (KF), Ridge Gourd Fibre (RGF), Waste Plastic Materials (WPM), and matrix materials. The raw materials undergo an alkaline treatment involving 2 hours of agitation with 5% NaOH. Following treatment, KF, RGF, and WPM are combined with epoxy resin using compression moulding to form four different hybrid composite plates in the %wt of 10:20:5, 20:10:5, 10:10:5, and 20:20:5. Various tests are conducted to evaluate their properties, including the Tensile Test, Shear Test, and Flexural Test, adhering to ASTM standards D638, D7078, and D790, respectively. The results indicate that 20:20:5 plate showed higher tensile strength (21.70 MPa), flexural strength (77.23 MPa), and shear strength (18.13 MPa. Subsequently, Thermo gravimetric Analysis (TGA) was conducted on the 20:20:5 composite plate due to its superior mechanical

D R, Rajkumar, R, Baranitharan, Basha, Mohamed Humayun, S, Kamalesh

Optimization of Fused Deposition Modeling Using Taguchi-Based Grey Relational Analysis for TPU used in Auto parts

2025-28-0158To be published on 02/07/2025

Fused Deposition Modeling (FDM) is a highly adaptable additive manufacturing method that is extensively employed for creating intricate structures using a range of materials. Thermoplastic Polyurethane (TPU) is a highly versatile material known for its flexibility and durability, making it well-suited for use in industries such as footwear, automotive, and consumer goods. Hoses, gaskets, seals, external trim, and interior components are just a few of the many uses for thermoplastic polyurethanes (TPU) in the automobile industry. The objective of this study is to enhance the performance of Fused Deposition Modeling (FDM) by optimizing the parameters specifically for Thermoplastic Polyurethane (TPU) material. This will be achieved by employing a Taguchi-based Grey Relational Analysis (GRA) method. The researchers conducted experimental trials to examine the impact of key FDM parameters, such as layer thickness, infill density, printing speed, and nozzle temperature, on critical responses

Pasupuleti, Thejasree, Natarajan, Manikandan, Ramesh Naik, Mude, Silambarasan, R, D, Palanisamy

Vibration-based cutting tool condition monitoring in face milling process using wavelet features and machine learning algorithms – A comparative study

2025-28-0151To be published on 02/07/2025

In automotive applications, most of the engineering components come across the material removal process in manufacturing. Face milling is one of the prominent material removal processes wherein a multi-point cutter is used to machine the flat workpiece to bring it to its required dimension. In the material removal process, the cost of the cutting tool occupies the major part of the total manufacturing cost of a product. Also, the continuous usage of the cutting tool results in tool wear. The usage of the cutting tool after the threshold value of the tool wear deteriorates the surface finish of the workpiece which leads to product rejection. Hence, optimal tool usage is inevitable. The continuous monitoring of the cutting tool condition will ensure optimal tool usage. In the present work, four real-time tool conditions are considered, namely, fresh tool (G), tool flank wear (FW), tool flaking on rake surface (FL) and tool with broken tip (B). Vibration signals are acquired while milling

D, Pradeep Kumar, Syed, Shaul, V, Muralidharan, S, Ravikumar

Data-Driven Optimization of Titanium Grade 7 Machining for Automotive Applications

2025-28-0143To be published on 02/07/2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in materials that conduct electricity, irrespective of their level of hardness. With the rising demand for superior products and the necessity for quick design modifications, decision-making in the industrial sector becomes increasingly complex. This study specifically examines Titanium Grade 5 and suggests creating prediction models through regression analysis to estimate performance measurements in ECM. The experiments are formulated based on Taguchi's ideas, utilizing a multiple regression approach to deduce mathematical equations. The Taguchi method is utilized for single-objective optimization in order to determine the ideal combination of process parameters that will maximize the material removal rate. ANOVA is a statistical method used to determine the relevance of process factors that affect performance measures. The suggested prediction technique for Titanium Grade 5 exhibits

Natarajan, Manikandan, Pasupuleti, Thejasree, Kumar, V, Krishnamachary, PC, Somsole, Lakshmi Narayana, Silambarasan, R

Optimization of Fusion Deposition Modeling Parameters for PLA Material for Automobile Interior Using Taguchi based TOPSIS Approach

2025-28-0131To be published on 02/07/2025

Additive Manufacturing (AM) techniques, particularly Fusion Deposition Modeling (FDM), have revolutionized manufacturing by enabling the fabrication of complex geometries with various materials. PLA is mostly used for both under-the-hood components and aumobile interior items including carpets, upholstery and protective wrappings used in vehicle manufacture and transportation. This study focuses on enhancing the efficiency and quality of FDM for PolyLactic Acid (PLA) material through the application of Taguchi-Grey Relational Analysis (GRA) optimization. The research investigates the influence of FDM parameters, including layer height, nozzle temperature, and printing speed, on critical printing characteristics such as dimensional accuracy, surface finish, and mechanical strength. Experimental trials are conducted based on a Taguchi orthogonal array design to systematically explore the parameter space. Grey relational grades are calculated to quantify the relationships between input

Natarajan, Manikandan, Pasupuleti, Thejasree, D, Palanisamy, Katta, Lakshmi Narasimhamu, Silambarasan, R

A Machine learning Approach for the prediction of Surface Roughness Using The Tool Vibration Data In Turning Operation

2025-28-0152To be published on 02/07/2025

Surface roughness is a key factor in different machining processes and plays an important role in ergonomics, assembly, wear and fatigue life of components. Functionality, performance and durability of parts are also affected by surface roughness. Although maintaining an optimum surface roughness is a major challenge in many manufacturing industries. Surface roughness during machining depends upon machining parameters such as cutting speed, feed rate and depth of cut. Also, tool vibrations during machining have significant influence in surface roughness. In this work an attempt is made to predict the surface roughness of machined components during the turning process by using machine learning techniques with vibration signals. By varying different machining parameters and keeping other tooling and material properties same, a range of surface roughness values can be obtained. For each condition, corresponding tool vibration signals were recorded. Our experimental setup involves

S S, Safeer, Sadique, Anwar, D, Navaneeth

Development of ANFIS Predictive Model for Additive Manufacturing (Fusion Deposition Modeling) of PETG Material for automotive components

2025-28-0124To be published on 02/07/2025

Additive Manufacturing (AM), specifically Fusion Deposition Modeling (FDM), has become widely popular due to its capacity to produce intricate shapes using different materials. The objective of this study is to improve the efficiency and accuracy of the FDM process for Polyethylene Terephthalate Glycol (PETG) material, which is used for producing automotive components that require impact resistance, dimensional stability, and good surface finish. This will be achieved by creating a predictive model using an Adaptive Neuro-Fuzzy Inference System (ANFIS). The study examines the impact of FDM parameters, such as layer height, nozzle temperature, and printing speed, on important printing attributes like dimensional accuracy, surface quality, printing speed and dimensional deviation. The necessary information is obtained from experimental trials of FDM printing, which were conducted using various combinations of parameters. The experimental trials have been planned by Taguchi’s approach

Pasupuleti, Thejasree, Natarajan, Manikandan, Kumar, V, Kiruthika, Jothi, Katta, Lakshmi Narasimhamu, Silambarasan, R

Multi-Objective Optimization for Contemporary Drilling of Nimonic Alloy Using Taguchi-Grey Relational Analysis

2025-28-0050To be published on 02/07/2025

The objective of this research is to develop an optimization strategy for the Electrochemical Drilling process on Inconel 800HT material, taking into account various performance factors. The optimization strategy relies on the integration of the Taguchi method with Grey Relational Analysis (GRA). Inconel 800HT is extensively utilized in aerospace, nuclear, and marine industries, specifically in situations that are prone to corrosion. The experimental trials are structured based on Taguchi's principle and encompass three machining variables: feed rate, electrolyte flow rate, and electrolyte concentration. This inquiry examines performance indicators like the rate of material removal, surface roughness, as well as geometric parameters such as overcut, shape, and orientation tolerance. Based on the investigation, it is determined that the feed rate is the primary factor that directly affects the intended performance criteria. In order to enhance the accuracy of predictions, multiple

Pasupuleti, Thejasree, Natarajan, Manikandan, D, Palanisamy, Silambarasan, R, Krishnamachary, PC

Preparation of Copper Antimony Sulfide Thin Film Solar Cells by Chemical Synthesis

2025-28-0117To be published on 02/07/2025

CuSbS2 is a promising ternary semiconductor for use as an absorber layer in third-generation thin film heterojunction solar cells. This newly developed optoelectronic material offers a viable alternative to CdTe and Cu(In,Ga)Se2 due to its composition of inexpensive, readily available, and non-toxic elements. These films were successfully produced at an optimal substrate temperature of 533 K using the conventional spray technique. X-ray diffraction and Raman studies confirm that the films exhibit a chalcostibite structure. Characterization studies reveal that the films possess lattice parameters of a = 0.60 nm, b = 0.38 nm, and c = 1.45 nm, with an absorption coefficient of 105 cm-1 and a band gap of 1.50 eV. Notably, the films exhibit p-type conductivity. All these studies confirm that CuSbS2 as an absorber layer is highly suitable for solar cell applications. An attempt was made in this study to improve the crystallinity of the CuSbS2 films by different experimental conditions. (i

Kumar, YB Kishore, Yb, Kiran, Tarigonda, Hariprasad, Reddy M, Surya Sekhar

Smart Machining of Titanium Grade 7: ANFIS Application for Process Parameter Prediction

2025-28-0160To be published on 02/07/2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in materials that conduct electricity, regardless of their level of hardness. Due to the growing demand for superior products and the necessity for quick design adjustments, decision-making in the manufacturing industry has grown increasingly intricate. This study specifically examines Titanium Grade 5 and suggests the creation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) model for predictive modelling in ECM. The study employs a Taguchi-grey relational analysis (GRA) methodology to attain multi-objective optimization, with the goal of concurrently maximizing material removal rate, minimizing surface roughness, and achieving precise geometric tolerances. Analysis of variance (ANOVA) is used to assess the relevance of process characteristics that impact these performance measures. The ANFIS model presented for Titanium Grade 5 provides more flexibility, efficiency, and accuracy in

Natarajan, Manikandan, Pasupuleti, Thejasree, D, Palanisamy, Kiruthika, Jothi, Silambarasan, R

Advanced Parameter Forecasting for Titanium Grade 19 Machining in Automotive Applications

2025-28-0045To be published on 02/07/2025

Electrochemical machining (ECM) is a remarkably effective technique for producing detailed designs in materials that can conduct electricity, regardless of their level of hardness. As the desire for high-quality products and the necessity for rapid design changes grow, decision-making in the industrial sector becomes increasingly intricate. This work focuses on Titanium Grade 9 and proposes the development of prediction models using regression analysis to estimate performance measurements in ECM. The experiments are designed using Taguchi's methodology, employing a multiple regression approach to produce mathematical equations. The Taguchi technique is utilized for the purpose of single-objective optimization in order to determine the optimal combination of process parameters that will optimize the rate at which material is removed. ANOVA is a statistical method used to assess the relevance of process factors that impact performance indicators. The suggested prediction technique for

Pasupuleti, Thejasree, Natarajan, Manikandan, Ramesh Naik, Mude, Silambarasan, R, D, Palanisamy

DEVELOPMENT OF COMPOSITE PCM TO ENHANCE HEAT TRANSFER RATE WITH THE ADDITION OF NANOPARTICLES IN THERMAL ENERGY STORAGE

2025-28-0023To be published on 02/07/2025

This paper explores the augmentation of thermal conductivity in paraffin wax through the incorporation of aluminum oxide (Al2O3) and copper oxide (CuO) nanoparticles, leading to the development of composite phase change materials (PCMs). The objective is to enhance heat transfer rates, crucial for various energy storage applications including industrial waste heat recovery and solar thermal energy storage. Differential Scanning Calorimetry (DSC) testing was employed to experimentally investigate the thermal properties of the resulting nanocomposite PCM.The experimental results reveal that the nanocomposite PCM, composed of 96.14% paraffin wax, 2% aluminum oxide, and 1.6% copper oxide, exhibits 1.35 times increase in heat transfer rate compared to conventional paraffin wax. The integration of nanoparticles into the PCM matrix, facilitated by a magnetic stirrer at 50°C for 4 hours, results in uniform distribution and improved grain morphology, as evidenced by SEM images. Moreover, the

Tarigonda, Hariprasad, Kumar, YB Kishore, Kala, Lakshmi K, R L, Krupakaran

Optimization and Regression Modeling of Fused Deposition Modeling for TPU Material used in automotive instrument panels

2025-28-0142To be published on 02/07/2025

Fused Deposition Modeling (FDM) is a widely recognized additive manufacturing method that is highly regarded for its ability to create complex structures using thermoplastic materials. Thermoplastic Polyurethane (TPU) is a highly versatile material known for its flexibility and durability. TPU has several applications, including automobile instrument panels, caster wheels, power tools, sports goods, medical equipment, drive belts, footwear, inflatable rafts, fire hoses, buffer weight tips, and a wide range of extruded film, sheet, and profile applications.. The primary objective of this study is to enhance the FDM parameters for TPU material and construct regression models that can accurately forecast printing performance. The study involved conducting experimental trials to examine the impact of key FDM parameters, such as layer thickness, infill density, printing speed, and nozzle temperature, on critical responses, including dimensional accuracy, surface quality, and mechanical

Pasupuleti, Thejasree, Natarajan, Manikandan, Sagaya Raj, Gnana, Silambarasan, R, Kiruthika, Jothi

Taguchi Based Grey Approach for Optimizing the Advanced Machining of Nickel Alloys in Manufacturing of Automotive Parts

2025-28-0147To be published on 02/07/2025

The objective of this research is to develop an optimization technique for the Electrochemical Drilling process on Inconel 625 material, considering various performance factors. The Taguchi approach, along with Grey Relational Analysis (GRA), forms the basis for optimization. Inconel 625 has a wide range of uses in industries such as aerospace, nuclear, and marine, especially in harsh environments. The experimental trials conducted in accordance with Taguchi's approach have utilized three machining variables: feed rate, electrolyte flow rate, and electrolyte concentration. When doing this examination, we analyze not only the rate at which material is removed and the roughness of the surface, but also other characteristics that indicate performance, such as overcut, shape, and orientation tolerance. The analytical findings indicate that the feed rate is the primary factor that directly impacts the required performance standards. Regression models are constructed to make predictions, and

Natarajan, Manikandan, Pasupuleti, Thejasree, Sagaya Raj, Gnana, Silambarasan, R, Somsole, Lakshmi Narayana

Performance Forecasting in Nickel Alloy Machining: A Study for Aerospace Engineering Applications

2025-28-0154To be published on 02/07/2025

The process of electrochemical machining, often known as ECM, is capable of effectively shaping complicated structures in materials that conduct electricity, independent of the materials' level of hardness hence especially used for automobile and aerospace applications. As a result of the demand for high-quality products and the desire for rapid design changes, the manner in which decisions are made in the manufacturing industry has become increasingly contentious. With the assistance of regression analysis, this study proposes the development of predictive models for the purpose of forecasting the performance measures in electrochemical machining of Inconel 800HT. The trials are designed in accordance with Taguchi's principles, and a multiple regression model is utilized in order to derive the mathematical equations. Taguchi's method can be applied as a methodology for single objective optimization in order to attain the most optimal combination of process parameters for the purpose

Natarajan, Manikandan, Pasupuleti, Thejasree, Sagaya Raj, Gnana, Silambarasan, R, Kiruthika, Jothi

Grey Relational Analysis for Multi-Objective Optimization in Aerospace Machining of Titanium Grade 19

2025-28-0047To be published on 02/07/2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in electrically conductive materials, irrespective of their hardness. Due to the growing need for superior products and quick design adjustments, decision-making in production has become increasingly complex. This study focuses on Titanium Grade 9 and proposes creating predictive models using a Taguchi-grey technique to achieve multi-objective optimization in ECM. The experiments are structured based on Taguchi's principles, utilizing Taguchi-grey relational analysis (GRA) to simultaneously optimize several performance indicators, including the material removal rate, surface roughness, and geometric tolerances. ANOVA is employed to assess the significance of process variables affecting these measures. The proposed predictive technique for Titanium Grade 9 outperforms current models in terms of flexibility, efficiency, and accuracy, providing enhanced capabilities for monitoring and control

Pasupuleti, Thejasree, Natarajan, Manikandan, Krishnamachary, PC, Katta, Lakshmi Narasimhamu, Silambarasan, R

Investigation on the Effectiveness of Phase Change Materials in Battery Thermal Management System of Electric Vehicles

2025-28-0178To be published on 02/07/2025

Electric vehicles (EVs) are a clean, sustainable alternative to conventional internal combustion engines representing a paradigm shift in the transportation sector. Electric vehicles (EVs) have significantly improved in performance in battery technology. With the rapid proliferation of Electric Vehicles (EVs), effective Battery Thermal Management Systems (BTMS) are essential to ensure optimal performance and longevity of the battery packs. This study aims to investigating the effect of Phase Change Materials (PCM) in a hybrid cooling of liquid cold plate with battery pack. With the rapid proliferation of Electric Vehicles (EVs), effective Battery Thermal Management Systems (BTMS) are essential to ensure optimal performance and longevity of the battery packs. This study aims to investigating the effect of Phase Change Materials (PCM) in a hybrid cooling of a liquid cold plate with the battery pack. In models of battery cell arrangement of 5x13 arrays of aligned modules with the PCM and

S, Palanisamy, Selvan, Arul Mozhi

Evaluation on Mechanical and Metallurgical properties of Wire Arc Additive Manufactured ER 2209 Duplex Stainless Steel for Automotive and Marine applications

2025-28-0108To be published on 02/07/2025

The advancement of wire-arc additive manufacturing (WAAM) presents a significant opportunity to revolutionize the production of automotive components through the fabrication of complex, high-performance structures. This study specifically investigates the metallurgical, mechanical, and corrosion properties of WAAM-fabricated ER2209 duplex stainless steel structures, known for their superior mechanical properties, excellent corrosion resistance, and favorable tribological behavior. The research aims to optimize WAAM process parameters to achieve high-quality deposition of ER2209, ensuring structural integrity and performance suitable for both marine and various automotive applications. Microstructural analysis of the produced samples revealed the alloy’s dual-phase nature, with roughly equal amounts of ferrite and austenite phases uniformly mixed across the layers of deposition. This balanced microstructure contributes to the alloy’s excellent mechanical properties. Yield strength

A, Aravind, S, Jerome, Kumar, Ravi

Optimization of Biodiesel Production from Tannery Industry Fleshing Wastes Using Response Surface Methodology

2025-28-0115To be published on 02/07/2025

In response to rising emissions and pollutants, an alternative and environmentally friendly synthesis is gaining prominence on the energy sources. The leather industries generate substantial amount of waste and fleshing oil extracted from fleshing which is rich in lipids and presents a viable feedstock for biodiesel production. In this research work, Response Surface Methodology (RSM) is used to optimize the conversion of leather fleshing oil into biodiesel using three parameters such as operating temperature, reaction time, and molar ratio. Experiments were carried out to determine the most optimal conditions and the response on yield (%) and viscosity (mm2/s) based on a 17-run Box–Behnken Design matrix. Stochastic model parameters such as R2 (0.9715 and 0.9793), adjusted R2 (0.9349 and 0.9527), predicted R2 (0.8327 and 0.7656), and high F-values (26.52 and 36.78) of both responses (yield and viscosity) were found to be statistically significant and warranted model adequacy. ANOVA and

P, Kanthasamy, Selvan, Arul Mozhi, P, Shanmugam

Microstructural and Mechanical characterization of Overhanging AA 4043 structures fabricated by CMT Pulse based WAAM for Automotive applications

2025-28-0140To be published on 02/07/2025

This study investigates the fabrication and characterization of overhanging structures using the Cold Metal Transfer (CMT) pulse based Wire Arc Additive Manufacturing (WAAM) technique, specifically targeting automotive applications on commercial aluminum components. Focusing on optimal welding strategies for overhanging structures, components are fabricated by providing offsets during consecutive deposition of layers, thus producing parts with angles of 45, 60 and 90 degree inclinations from the substrate. Three specimens undergo twenty-three layers of deposition, resulting in structurally sound joints within this specified angle range. AA 4043 electrode is utilized, and welding parameters are optimized through trials by verifying with bead on plate deposition. Successful outcomes are achieved within the specified angle range, though challenges arise beyond 60 degrees, complicating the maintenance of desired weld quality. The study further evaluates the microstructure, microhardness

A, Aravind, S, Jerome, A, Rahavendran

Optimization of Wire Electrical Discharge Machining Parameters for Invar 36 Material Using Regression Modeling

2025-28-0122To be published on 02/07/2025

Wire Electrical Discharge Machining (WEDM) is a commonly employed technique for shaping conductive materials such as SAE 1010 steel, providing highly accurate machining capabilities. This low-carbon steel has excellent formability, weldability, and machinability, making it useful in many contexts including bolts, nuts, valves and cold headed fasteners. The objective of this study is to improve the efficiency and precision of the Wire Electrical Discharge Machining (WEDM) process for SAE 1010 material. This will be achieved by creating a predictive model using an Adaptive Neuro-Fuzzy Inference System (ANFIS). The study investigates the influence of WEDM parameters, specifically pulse-on time, pulse-off time, and discharge current, on important machining outcomes such as surface roughness (Ra), material removal rate (MRR). The experimentation has been planned and conduced as per Taguchi L9 orthogonal array design. The ANFIS predictive model is constructed by utilizing the obtained

Pasupuleti, Thejasree, Natarajan, Manikandan, Raju, Dhanasekar, Krishnamachary, PC, Silambarasan, R

Design and Comprehensive Computational Hydro-Structural Analyses on Nature Inspired Unmanned Aquatic Vehicle for Underwater Applications

2025-28-0056To be published on 02/07/2025

This study focuses on developing and deploying an unmanned aquatic vehicle (UAV) capable of underwater travel. The primary objectives of this project are to detect the presence of dimethyl sulphide and toluene, as well as to identify any potential oil leakage in underwater pipelines. The UAV has a maximum operating depth of 300 meters below the water's surface. The design of this UAV is derived from the natural design of Rhinaancylostoma, an underwater kind of fish. The operational setting for this mission is situated at a depth of approximately 300 meters beneath the surface of the sea, and the choice of this species is suitable for fulfilling the objectives of this undertaking. This technology will mitigate the risk associated with human interaction in inspection processes and has the potential to encompass various other resources in the future. The initial design data of the UAV is determined using analytical processes and verified formulas. The selection of the aerofoil is done by

Veeraperumal Senthil Nathan, Janani Priyadharshini, Rajendran, Mahendran, Arumugam, Manikandan, Raji, Arul Prakash, Sakthivel, Pradesh, Madasamy, Senthil Kumar, Stanislaus Arputharaj, Beena, L, Natrayan, Raja, Vijayanandh

Structural Effect based Parametric Investigations on Lightweight Materials for Propulsive System of Unmanned Airship through Fluid Structural Interaction Approach

2025-28-0167To be published on 02/07/2025

This work proposes using an airship outfitted with four weather stations that can be quickly deployed from an inflatable platform to conduct comprehensive environmental research on Titan. To navigate Titan's rivers, the weather stations are installed on inflatable platforms. Each station has a storage device that may record and send data collected by the aerobot as it travels across the area. The aerobot is inflated just before landing so that it doesn't crash into the rivers of Titan. The proposed unmanned airship will operate in Titan's atmosphere and atmospheric conditions, so this study is primarily concerned with their design and the computational analysis of structural effects and fluid dynamics. One of the most effective vehicles for extraterrestrial research was the method offered to employ unmanned lighter-than-air systems (aerobot) for planetary exploration. The titan aerobot has been built with a co-axial 4-blade propeller to generate thrust in cruise mode, horizontal and

Baskar, Sundhar, Vinayagam, Gopinath, Pisharam, Akhila Ajith, Gnanasekaran, Raj Kumar, Raji, Arul Prakash, Stanislaus Arputharaj, Beena, L, Natrayan, Ganesan, Balaji, Raja, Vijayanandh

Items per page:

1 – 50 of 64809