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Design and Development of Tractor Front Hitch Linkage System

2025-28-0006To be published on 02/07/2025

Today's agriculture demands increased productivity due to the higher cropping intensities. Agricultural field readiness for cultivation requires various operation in field resulting in delay in cultivation which lower down productivity. Therefore, field operation needs to be more efficient in terms of both input cost and time consumption. One way to achieve this is by performing multiple operations in a single tractor pass, utilizing the increased power available in modern Tractors. In some agricultural operations, implements need to be mounted on the front of the tractor. Therefore, designing a front three-point hitching system for the tractor is essential to meet various farming needs, allowing customers to perform multiple operations simultaneously. The use of a front three-point linkage better utilizes the potential of four-wheel drive, higher horsepower tractors. This paper focus on comprehensive design process for the development and validation of a front hitch system of the

Kumar, Yuvaraj, V, Ashok Kumar, Perumal, Solairaj, Gaba, Rahul, Ramdebhai, Karavadara, Subbaiyan, Prasanna Balaji, M, Kalaiselvan

Comparative study to identify and bridge the gap between physical and virtual durability testing on a real durability track and its digital twin of the vehicle/ road surface

2025-28-0065To be published on 02/07/2025

India has seen a significant boost in automotive research and development, specific to ADAS and electric vehicles. To test these innovations, without a full working prototype, vehicle manufacturers are relying on virtual models to better fine tune the design parameters. For this, there is a real requirement of digital twins of proving grounds. This virtual testing surfaces will help in reducing test costs, test times and increase iteration counts, leading to fine-tuned prototype vehicle and finally a market leading product. NATRAX is already playing a crucial role in the homologation and development of these technologies, on their test tracks. Recognizing the need to assist in virtual testing for Indian automotive manufacturers, NATRAX is developing virtual proving grounds to complement physical testing and reduce the development time. This paper aims to have a comparative analysis of dynamic parameters between virtual track testing and actual track testing on a virtual representation

S J, Srihari, Umorya, Divyansh, Patidar, Deepesh, Jaiswal, Manish

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

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

A Simulation Methodology for Rainwater Ingress into Vehicle HVAC Cowl Box With Design Improvement

2025-28-0163To be published on 02/07/2025

Cowl Box is the first element of HVAC air passage and responsible for keeping rainwater away from blower unit without much impacting the HVAC air flow rate. Rainwater ingress to HVAC system affects passenger comfort. The main design objectives to be achieved in the design of HVAC cowl box includes minimizing the pressure drop and eliminating the chances of water ingress in cowl box. There are CFD tools available to study the cowl box pressure drop. However, methods available to study rain water ingress in cowl box are expensive in both mesh preparation and computational time. Using SPH (Smooth Particle based Hydrodynamics) based Preonlab tool, an attempt has been made in this work to study the design improvements of HVAC cowl box to eliminate the chances of flooding during raining. ANSYS FLUENT tool used to study the pressure drop of each design. The objectives of the simulation are to examine the cowl box pressure drop and water ingress quantity into the HVAC module. Designs with

Baskar, Subramaniyan, A, Boopalshanmugam, Raju, Kumar

FPGA Implementation of HLS crypto accelerators for embedded security in autonomous vehicles

2025-28-0205To be published on 02/07/2025

The growing ubiquity of autonomous vehicles (AVs) has introduced a new attack surface for malicious actors: the embedded systems that govern a vehicle's critical operations. Security breaches in these systems could have catastrophic consequences, potentially leading to loss of control, manipulation of sensor data, or even physical harm. To mitigate these risks, robust cybersecurity measures are paramount. This research delves into a specific threat – side-channel attacks – where attackers exploit data leakage through unintentional physical emanations, like power consumption or electromagnetic waves, to steal cryptographic keys or sensitive information. While various software and hardware countermeasures have been proposed, this study focuses on the implementation of masking techniques within the realm of embedded security. Masking techniques aim to obfuscate sensitive data during cryptographic operations, making it significantly harder for attackers to exploit side-channel

Deepan Kumar, Sadhasivam, R, Vishnu Ramesh Kumar, M, Boopathi, Manojkumar, R, R, Gobinath, M, Vignesh

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

Method Development for Virtual Validation of Tractor Three-Point Linkage for customer practices in Haulage application

2025-28-0069To be published on 02/07/2025

This paper discusses the design and analysis of the Three-point linkage of an agricultural tractor for uncommon abusive usage practices during haulage applications. Some operators use the Three-point linkage for additional traction to navigate gradient surfaces, which requires additional wheel torque to overcome road slope when the trailer is attached. These maneuvers induce higher loads on Three-point linkage components, such as the lower link, lift rod, and powertrain components, which may lead to structural failures. A virtual simulation and lab-level test methodology need to be established to simulate the usage pattern upfront and predict potential failures. Multi-body dynamics (MBD) simulation was deployed to simulate the physics and extract realistic loads for Computer Aided Engineering (CAE) analysis. Data acquisition was carried out to record the strain levels during the uncommon haulage usage practices, which will be used for further studies. CAE analysis has been carried out

Kumar, Yuvaraj, Perumal, Solairaj, V, Ashok Kumar, Savsani, Smitkumar, Subbaiyan, Prasanna Balaji, Bhandwalkar, Anand, V V H Krishna Prasad, Tadikamalla

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

CogniGuardianRoadscape: Advancing Safety through AI-Driven Roadway Audits

2025-28-0019To be published on 02/07/2025

The escalation of road infrastructure anomalies, such as speed breakers and potholes, presents a formidable challenge to vehicular safety, efficient traffic management, and road maintenance strategies worldwide. In addressing these pervasive issues, this paper proposes an advanced, integrated approach for the detection and classification of speed breakers and potholes. Utilizing a sophisticated blend of deep learning methodologies and enhanced image processing techniques, our solution leverages Object Detection to analyze and interpret real-time visual data captured through advanced vehicle-mounted camera systems. This research meticulously details the comprehensive process involved in the development of this system, including the acquisition and preprocessing of a vast, varied dataset representative of numerous road types, conditions, and environmental factors. Through rigorous training, testing, and validation phases, the model demonstrates remarkable proficiency in recognizing and

Thangaraju, Shanmuganathan, Nagarajan, Meenakshi, Ganesan, Maragatham, Raja, Selvakumar, Sirotiya, Aviral, Jasrotia, Bhargav

Autonomous Drone Solution for Human-Wildlife Conflict Management

2025-28-0198To be published on 02/07/2025

Human-wildlife conflicts pose significant challenges to both conservation efforts and community well-being. As these conflicts escalate globally, innovative technologies become imperative for effective and humane management strategies. This paper presents an integrated autonomous drone solution designed to mitigate human-wildlife conflicts by leveraging technologies in drone surveillance and artificial intelligence. The proposed system consists of stationary IR cameras that are setup within the conflict prone areas, which utilizes machine learning to identify the presence of wild animals and to send the corresponding location to a drone docking station. An autonomous drone equipped with high resolution IR cameras and sensors is deployed from the docking station to the provided location. The drone camera utilizes object detection technology to scan the specified zone to detect the animal and emit animal repelling ultrasonic sound from a device integrated to the drone to achieve non

Sadanandan, Vaishnav, Sadique, Anwar, George, Angeo Pradeep, Vinod, Vishal, Raveendran, Darshan Unni

Design and Test methodology development of Retainer plate in Forward and Reverse mechanism of Tractor Transmission

2025-28-0079To be published on 02/07/2025

ABSTRACT: In the Automobile tractor- transmission system plays major role to transfer power from Engine to final drive through gear box enabling Forward/reverse(F/R) movements during field operations and transportation conditions. The F/R retainer plate with idler gear, shaft is located between clutch housing and transmission gear box housing. If the retainer housing plate gets failure, then power will not be able to transfer from engine to transmission gear box main drive. In one of the tractor model Retainer plate failures was observed during field testing. To simulate the failure mode from field to lab condition, the resultant forces and angle were calculated based on the gear torque and gear ratio of the drive line assembly. The resultant loads were applied on Idle gear shaft assembly through servo actuator in cyclic mode at FTL lab. The failure was observed in the Retainer plate and location of failure was matching with Field failure. CAE Virtual simulation was carried out for

V, Saravanan, Mani, Suresh, Kumar, Sasi, More, Amit, Dumpa, Mahendra Reddy

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

Exploring Trapezoidal Salt Gradient Solar Pond Performance A Combined Numerical and Experimental Analysis with and without Reflective Covered Surface

2025-28-0201To be published on 02/07/2025

This study investigates the thermal performance of trapezoidal salt gradient solar ponds through a combined approach of experimental analyses and MATLAB numerical simulations. Salt gradient solar ponds offer a promising solution for sustainable energy generation by harnessing solar radiation and storing it as thermal energy for various applications. However, optimizing their performance is essential to maximize energy efficiency and economic viability. Laboratory experiments were conducted to evaluate the thermal dynamics of trapezoidal salt gradient solar ponds under different conditions, including the presence or absence of a reflective covered surface. These experiments provided valuable empirical data on temperature distribution and heat storage capacity. Additionally, numerical simulations were performed using MATLAB to model the thermal behavior of the ponds and validate the experimental findings. The simulations allowed for a deeper understanding of the underlying mechanisms

J, Vinoth Kumar

Designing Next-Generation Piston Geometry for LPG Powered Spark Ignition Engines: An Integrated CFD and Experimental Approach

2025-28-0123To be published on 02/07/2025

The efficiency of combustion has a major impact on the performance and emission characteristics of a spark-ignited LPG (Liquified Petroleum Gas) engine. The shape of the combustion chamber determines the homogeneous charge intake velocity, which is crucial for the turbulent motion that encourages flame propagation and quickens combustion. It need the right amount of compression ratio, charge squish velocity and turbulent kinetic energy to sustain combustion and propel laminar flames. There are a number of names for the motion of the charge within the cylinder: swirl, squish, tumble and turbulence. All of these terms affect how air and fuel are mixed and burned. Piston shape affects in-cylinder motion, which in turn reduces fuel consumption and improves combustion characteristics. The shape of the piston quench zone has a substantial impact on the charge velocity inside the combustion chamber. The impact on charge motion was analyzed using computer modeling using STAR-CD on pentroof

Sagaya Raj, Gnana, R L, Krupakaran, Pasupuleti, Thejasree, Natarajan, Manikandan

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

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

An Integrated Material Science Approach to Evaluate the Viability of Ethoxy Ethane and Rubber Seed (Heavea Brasiliensis) Biodiesel as Sustainable Fuel for Compression Ignition Engines

2025-28-0130To be published on 02/07/2025

The primary issues in using pure vegetable oils for internal combustion engines are their high soot output and reduced thermal efficiency. Therefore in the present investigation, a Heavea Brasiliensis biodiesel (HBB) is used as a carbon source of fuel and ethoxy ethane as a combustion accelerator on a compression ignition (CI) engine. In this investigation, an only one cylinder, four-stroke, air-cooled DI diesel engine with a rated output of 4.4 kW at 1500 rpm was utilized. Whereas heavea brasiliensis biodiesel was delivered straightly into the cylinder at almost close to the end of compression stroke and ethoxy ethane was sprayed instantly in the intake manifold in the event of intake stroke. At various loads, the parameter of ethoxy ethane volume rate were optimised. To minimise exhaust emissions, an air plasma spray technology was employed to cover the engine combustion chamber with a thermal barrier coating. Because of its adaptability for high-temperature applications, YSZ (Yttria

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

Powering Precision: Ensemble Learning for Superior Battery Health Estimation

2025-28-0204To be published on 02/07/2025

In recent years, there has been a notable shift from fossil fuels to renewable energy sources due to energy challenges and the scarcity of oil resources. This transition has significantly increased the adoption of battery-powered electric vehicles (EVs) and hybrid electric vehicles (HEVs), replacing traditional internal combustion engine (ICE) vehicles. A crucial element of EVs and HEVs is the Battery Management System (BMS), which is essential for ensuring the battery pack operates safely, reliably, and efficiently. As batteries experience numerous charge and discharge cycles, their performance inevitably degrades, which can lead to failure and potentially catastrophic outcomes if the battery unexpectedly reaches the end of its life. This paper presents an innovative machine learning-based method to estimate battery health and mitigate related risks on real time battery data. The study employs proprietary data collected from Nickel Cobalt Aluminum (NCA) chemistry cells under dynamic

Joshi, Umita, Mandhana, Abhishek

Design and Development of Range Extended-Hybrid Power Train for Two-Wheeler

2025-28-0194To be published on 02/07/2025

Environmental awareness is being fostered in every sector, with particular emphasis on the automotive industry. Conventional internal combustion engines responsible for greenhouse gas emissions and health issues. Researchers are looking for alternative technologies to reduce carbon footprint and for green environment. In this study, electric drive train is designed for 20% range extension and retrofitted in conventional two-wheeler. A control strategy has been developed, tested and successfully deployed on the vehicle. The hybrid drivetrain architecture is assessed for complexities such as the required space for the battery and the location for fitting the electric motor. During low-speed conditions, the electric motor reduced the emissions and minimized fuel consumption. Consequently, the overall utilization of internal combustion engines at low-speed condition has decreased, leading to a decrease in the vehicle's fuel consumption and tailpipe emissions

Banad, Chandrashekhar B, Devunuri, Suresh, Nair, Jayashri Narayanan, Hadagali, Balappa, Prasad, Gvl

Software Architecture for Autonomous Vehicles Using Matlab Simulink

2025-28-0190To be published on 02/07/2025

Autonomous vehicles utilise sensors, control systems and machine learning to independently navigate and operate through their surroundings, offering improved road safety, traffic management and enhanced mobility. This paper details the development, software architecture and simulation of control algorithms for key functionalities in a model that approaches Level 2 autonomy, utilising MATLAB Simulink and IPG CarMaker. The focus is on four critical areas: Autonomous Emergency Braking (AEB), Adaptive Cruise Control (ACC), Lane Detection (LD) and Traffic Object Detection. Also, the integration of low-level PID controllers for precise steering, braking and throttle actuation, ensures smooth and responsive vehicle behaviour. The hardware architecture is built around the Nvidia Jetson Nano and multiple Arduino Nano microcontrollers, each responsible for controlling specific actuators within the drive-by-wire system, which includes the steering, brake and throttle actuators. Communication

Ann Josy, Tessa, Sadique, Anwar, Thomas, Merlin, Manaf T M, Ashik, Vr, Sreeraj

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

Design and Finite Element Analysis of Pneumatically Actuated Soft Gripper under Combined Positive and Negative Pressure

2025-28-0044To be published on 02/07/2025

Soft-bending actuators have garnered significant interest in the field of robotics and biomedical engineering due to their ability to mimic the bending motions of natural organisms. In this study, we propose a novel soft bending actuator that utilizes combined positive and negative pressures to achieve enhanced performance and control. The actuator consists of a flexible elastomeric chamber divided into two compartments: a positive pressure chamber and a negative pressure chamber. By selectively applying positive and negative pressures to the respective chambers, controlled bending motion can be achieved. The combined positive and negative pressure approach allowed for faster response times and increased flexibility compared to traditional soft actuators. Additionally, the actuator exhibited a high level of controllability, enabling precise manipulation of the bending motion. Its flexibility, controllability, and enhanced performance make it suitable for a wide range of tasks requiring

Lalson, Abirami, Sadique, Anwar

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

Comprehensive Analysis of Different Space Vector PWM Techniques for the Speed Control of Two Level Traction Inverter

2025-28-0012To be published on 02/07/2025

The popular methods to generate PWM modulation are triangle comparison method and space vector method. The work evaluates the performance of continuous and discontinuous space vector pulse width modulation techniques based on the switching losses and harmonic distortion. The flexibility in the placement of null vectors and active vectors gives generality in SVPWM techniques. Continuous SVPWM employs the conventional switching sequences which are equally divided the null vectors and active vectors. Discontinuous PWM are derived based on the different combinations of null and active switching vectors. The discontinuous PWM techniques clamps each phase for either 300 or 600 in each half cycle. Majority of the discontinuous SVPWM uses any one of the null vectors and effectively to reduce the average switching loss in a cycle and the total harmonic distortion. The study brings out the optimum SVPWM sequences for the control of PMSM. Influence of the switching sequences on the line current

Nair, Meenu Divakaran, Durai, Saranya

NVH Optimization of Mounts for Reduction of Structure borne motor and road noise in Electric vehicle

2025-28-0072To be published on 02/07/2025

Due to stringent emission norms, all OEMs are shifting focus from Internal combustion engine(ICE) to Electric vehicle (EV). NVH refinement of EVs are challenging due to less background noise in EVs in comparison with ICE vehicle. Motor whine noise is perceived in cabin when driven at the speed of 20 kmph. Vehicle is powered by electric powertrain(EPT). Electric powertrain is connected to the subframe with the help of three powertrain mount. Subframe is connected to the body with the help of four mounts. With the help of Transfer Path Analysis (TPA), it is identified that the noise is structure borne and the dominant path is identified. By optimizing the dynamic stiffness of the EPT mount and subframe mount, the structure borne noise levels are reduced. But reducing the dynamic stiffness of EPT mount and subframe mount deteriorated the road noise levels. The reason behind deterioration of road noise is investigated. The performance of double isolation of EPT is compared with single

S, Nataraja Moorthy, Rao, Manchi Venkateswara, Raghavendran, Prasath, Selvam, Ebinezer

Optimization and Regression Modeling of Fused Deposition Modeling for PLA Material for Vehicle interior applications

2025-28-0159To be published on 02/07/2025

Fused Deposition Modeling (FDM) is a prominent method of additive manufacturing known for its capacity to create intricate structures using thermoplastic materials. Automobile components consisting of PLA are easily recovered from end-of-life vehicles (ELV) at a cheap cost, potentially yielding better purity recycled lactic acid monomers. PLA is used by automobile manufacturers (including Ford and Mazda) to make floor mats, tires, and consoles. Polylactic Acid (PLA) is a commonly utilized biodegradable thermoplastic recognized for its environmentally friendly nature, cost-effectiveness, and straightforward processing. This study aims to optimize the FDM parameters for PLA material and construct regression models to accurately predict printing performance. The study involved conducting experimental trials to investigate the impact of important FDM parameters, such as layer thickness, infill density, printing speed, and nozzle temperature, on critical outcomes, including dimensional

Natarajan, Manikandan, Pasupuleti, Thejasree, C, Navya, Kiruthika, Jothi, Silambarasan, R

Enhanced Aero Engine Components Manufacturing Through Predictive Models for Cupronickel Machining

2025-28-0137To 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 changes, decision-making in the manufacturing industry has become increasingly intricate. The primary objective of this work is to concentrate on Inconel 718 and suggest the creation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) model for the purpose of predictive modeling in ECM. The study employs a Taguchi-grey relational analysis (GRA) methodology to attain multi-objective optimization, with the target of maximizing material removal rate, minimizing surface roughness, and simultaneously achieving precise geometric tolerances. The relevance of process parameters affecting these performance metrics is assessed using analysis of variance (ANOVA). The ANFIS model suggested for Inconel 718 provides more flexibility, efficiency

Pasupuleti, Thejasree, Natarajan, Manikandan, Ramesh Naik, Mude, Kiruthika, Jothi, Silambarasan, R

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

Taguchi-Grey Hybrid Method for Enhanced Advanced Machining of Cupronickel Alloys

2025-28-0041To 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. With the growing demand for superior products and the increasing necessity for quick design modifications, decision-making in the manufacturing industry becomes increasingly complex. The primary objective of this work is to concentrate on Inconel 718 and suggest the creation of predictive models through the utilization of a Taguchi-grey technique for the purpose of multi-objective optimization in ECM. The trials follow Taguchi's principles and utilize a Taguchi-grey relational analysis (GRA) technique to maximize numerous performance indicators concurrently. This involves optimizing the pace at which material is removed while decreasing the roughness of the surface and obtaining precise geometric tolerances. ANOVA is a statistical method used to determine the importance of process factors that influence these

Natarajan, Manikandan, Pasupuleti, Thejasree, C, Navya, Somsole, Lakshmi Narayana, 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 sulfide and toluene, as well as to identify any potential oil leakage in underwater pipelines. The UAV has a maximum operating depth of 300 m below the water surface. The design of this UAV is derived from the natural design of Rhinaancylostoma, an underwater kind of fish. The maximum operational setting for this mission is fixed at a depth of approximately 300 m 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 airfoil is done by comparing

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

Innovative Design and Multi-Parametric Computational Investigations on the Propulsive System of a Pentacopter UAV

2025-28-0181To be published on 02/07/2025

This work deals with the design and multi-parametric investigation on the uniquely designed propeller for a Pentacopter Unmanned Aerial Vehicle (UAV). The primary and secondary design data along with the performance coefficients such as diameter of the propeller, pitch angle, chord length, lift coefficient are determined through standard analytical approach. About ten different airfoils, namely NACA 2412, NACA 4109, NACA 4312, NACA 4409, NACA 4415, NACA 5317, NACA 6409, NACA 6412, NACA 23024, NACA 25012 with 13 Reynolds Number and an Angle of Attack (AOA) of 20 ranges between -5 to 15 degrees are compared to design the propellers. The lift and drag coefficient values of ten different airfoils using the 13 Reynolds Number and the 20 AOAs are acquired from the XFOIL software. Based on the effect of high Lift-to-Drag (L/D) ratio, three advanced airfoils are chosen among ten relevant airfoils. The shortlisted airfoils provided by means of high L/D ratio are as follows NACA 6409, NACA 4109

Veeraperumal Senthil Nathan, Janani Priyadharshini, Arumugam, Manikandan, Rajendran, Mahendran, Solaiappan, Senthil Kumar, Kulandaiyappan, Naveen Kumar, Madasamy, Senthil Kumar, Stanislaus Arputharaj, Beena, L, Natrayan, Raja, Vijayanandh

Structural Effect based Parametric Investigations on Lightweight Materials for Propulsive System of Unmanned Airship under Various Gust Loading Conditions 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

Innovative Design and Comprehensive Computational Investigations on the Performance Enhancement of Advanced Horizontal Axis Turbines for Unmanned Marine Vehicles

2025-28-0188To be published on 02/07/2025

The integration of advanced horizontal axis turbines (HATs) into unmanned marine vehicles (UMVs) significantly enhances their operational efficiency by providing power sources. These vehicles, designed for diverse applications, require efficient power systems to operate autonomously over extended periods. The major disadvantages are limited battery life and energy storage capabilities restrict their operational range and endurance of the UMVs. Utilizing HATs in UMVs provides a renewable energy source, reducing operational costs. This continuous power supply enhances mission capabilities and promotes energy independence, making them ideal for long-term missions. Thus, using Computational fluid dynamics (CFD) models, hydrodynamic and aerodynamic analyses were carried out. For the hydrodynamic scenario, a velocity of 10 m/s and the aerodynamic case, 27.7778 m/s, were taken into consideration. It is concluded that the UMV with Stepped HAT modification can be effectively employed for energy

Gunasekaran, Durga Devi, Kannan, Haridharan, Sourirajan, Laxana, Vinayagam, Gopinath, Gnanasekaran, Raj Kumar, Kulandaiyappan, Naveen Kumar, Stanislaus Arputharaj, Beena, L, Natrayan, Raja, Vijayanandh

Innovative Design and Comprehensive Computational Performance Investigations of Hybrid Vortex Bladeless Turbine for Unmanned Surface Vehicles

2025-28-0185To be published on 02/07/2025

This work addresses an innovative method for improving energy harvesting in Bladeless wind turbines (BWT) by implementing profile modifications to the wind turbine for fixing it in Unmanned Surface Vehicles (USV). The streamlined flow undergoes a transformation and generates a vortex in the vicinity of the structure when the wind impacts the BWT. As the velocity increases, the wind strikes the structure with greater force, resulting in an imbalance that causes the structure to vibrate. To convert this vibrational energy of the wind turbine into electrical energy, the research investigates the use of a variety of profile modifications to capitalize on the aerodynamic effect generated by the structure. The entire cylindrical shape is altered to tapered shape, airfoil shapes with coordinates such as NACA 0012, 0015, 0018, 4412 and 4420. In addition to these shapes, hybrid models were also constructed by merging models made from two airfoil coordinates, including NACA 0018 & 4412, NACA

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

Structural Integrity Investigations on the Advanced Flying Wing UAV under Various Thermal Loading Conditions through Coupled Engineering Computations

2025-28-0060To be published on 02/07/2025

The primary aim of this research is to develop and analyze a sophisticated model of a Flying-Wing Unmanned Aerial Vehicle (FWUAV) that exhibits improved flying capabilities and advanced maneuvering techniques. The FWUAV is capable of functioning in both subsonic and supersonic conditions, and its physical structure is specifically engineered to withstand high-velocity scenarios. Although existing FWUAVs currently operate at moderate speeds, the proposed model is well-suited for a range of high-speed applications. The wing of the FWUAV is designed to mimic the wings of a Peregrine falcon. It features sharp, pointed edges at the front, as well as a slender body and curved wings. These design elements enhance maneuverability and reduce drag on the surface of the model during both forward flight and vertical take-off and landing, regardless of external conditions. The UAV's construction features a unique cupped wing profile, like a three-pointed beak, which enables excellent gliding flight

Veeraperumal Senthil Nathan, Janani Priyadharshini, Pisharam, Akhila Ajith, Sourirajan, Laxana, Baskar, Sundhar, Vinayagam, Gopinath, Stanislaus Arputharaj, Beena, L, Natrayan, Sakthivel, Pradesh, Raja, Vijayanandh

Analysis and Refinement of Road Boom Noise in Electric Vehicles

2025-28-0057To be published on 02/07/2025

Nowadays, customers are expecting higher level of refinement in electric vehicle. Since the background noise is less in electric vehicle in comparison with ICE, it is challenging for NVH engineers to address even minor noise concerns without cost and mass addition. Higher boom noise is perceived in the test vehicle when driven on the coarse road at the speed of 50 kmph. The test vehicle is rear wheel driven vehicle powered by electric motor.. Multi reference Transfer Path Analysis(TPA) is conducted on the vehicle to identify the path through which maximum forces are entering the body. Based on the findings from TPA, solutions like reduction in the dynamic stiffness of the suspension bushes are explored which resulted in reduction of noise. To reduce the noise further, Operational deflection shape (ODS) analysis is conducted on the entire vehicle to identify the deflection shapes of all the suspension components and all the body panels like floor, roof, tailgate, dash panel, quarter

S, Nataraja Moorthy, Rao, Manchi Venkateswara, Raghavendran, Prasath, Selvam, Ebinezer

Combustion and Emission Analysis of Pelletized vs. Raw Biomass Fuels

2025-28-0035To be published on 02/07/2025

Biomass fuels, such as sawdust and groundnut shells, are increasingly recognized as sustainable alternatives to fossil fuels. However, their high moisture content and loose structure result in low thermal efficiency. To improve performance, pellet forms of these fuels are often used. Naturally available raw and pellet forms of Sawdust, groundnut shell fuels have been utilized in this study. This study evaluates and compares the thermal efficiency of a gasifier cook stove and emissions from the combustion of raw and pellet forms of biomass fuels. It was found that the burning rate and firepower increase significantly with the use of pellet from of fuels. Sawdust pellets exhibited a highest thermal efficiency of 22.41%. The hydrocarbon (HC) levels for groundnut shell pellets were observed to range between 1 and 5 parts per million (ppm), while for sawdust pellets, it was observed to range from 1 to 6 ppm, indicating the preferable usage of pellets as fuel over raw form of biomass fuel

Prasad, Malladi Jogendra, Vangipurapu, Bapi Raju

Design and Development of Wave Spring to Eliminate the Synchronizer Ring Rattle In An Automotive Gearbox

2025-28-0100To be published on 02/07/2025

Automotive powertrains are being refined to give good comfort to the occupants. With the refinement of the internal combustion engine, the NVH is improved, and other vehicle noises are surfacing in the vehicle cabin. One such noise is the synchronizer ring rattle noise from the gearbox. The synchronizer rings are assembled freely between the gear and the hub in the gearbox. The manufacturing variations in the gearbox shafts, bearing, and housing bore cause misalignment to the synchronizer ring assembly. This excites the synchronizer rings to rattle. The rattle noise increases when the synchronizer ring is positioned between two different shafts. This rattling reduces the life of the synchronizer. And the rattling noise causes discomfort to the occupants. This research work discusses the different dampening strategies for the synchronizer ring rattle. Higher rattle reduction can be achieved with the wave spring between the input and output shaft. However, the wave spring changes the

K, Barathi Raja, Senthil Raja, T, Kumar, Aneesh, R, Manikandan, Ostwal, Amit

A critical evaluation of laboratory test methods used to assess coke formation tendency in synthetic lubricants

2025-28-0036To be published on 02/07/2025

Lubricating oil in combustion engines undergoes thermal degradation under high temperatures and forms solid deposits. These solid deposits, also referred as coke are insidious, black, and carbonaceous solids. To mitigate the problems associated with oil coking, an effective testing methodology must be developed to characterize the coke formation qualitatively and quantitatively. Testing methodologies have been developed to measure coking tendency however some of the international standards such as the SAE ARP 6166 use visual inspection methods to quantify coke. Such methods are unsuitable for advanced research as they are prone to error in human judgment. This paper intends to bridge this gap and discusses a test methodology that can measure the formed coke quantitatively and qualitatively. The formation of coke has been studied under different laboratory methods such as static immersion test, thin film oxidation test, and dynamic test to replicate the various conditions in which coke

Jeyaseelan, Thangaraja, S, Shanmugasundaram, Bansal, Lalit, Negi, Ashish, Koka, Tirumala Rao, Das, Arnab

PERFORMANCE ANALYSIS OF CONVENTIONAL TWO WHEELER VERSUS PLUG IN HYBRID ELECTRIC TWO WHEELER FOR LIGHT GOODS TRANSPORTATION

2025-28-0199To be published on 02/07/2025

The study investigates the performance of conventional two-wheelers versus Plug-in Hybrid Electric Vehicle (PHEV) two-wheelers in the context of light good transportation. With growing environmental concerns and the push towards sustainable transportation solutions, the study focuses on understanding the effects of using electric or hybrid electric vehicles for small-capacity load carrying applications, in terms of parameters such as mileage, pollution, and range. A simulation model was created in MATLAB, where the various vehicle parameters can be changed and their effect on vehicle performance such as SOC, motor power, motor speed, vs input velocity can be studied. Similar tests were conducted in the real world and the results obtained were compared with simulation results. Results indicate that PHEV two-wheelers significantly reduce emissions and fuel consumption, while maintaining comparable performance in terms of speed and load capacity. However, the initial investment and

Kumar, V. Sudhir, R, Balamurugan, Pasupuleti, Thejasree, Natarajan, Manikandan

Revolutionizing Titanium Alloy Machining: ANFIS Model for Advanced Machining Performance Optimization

2025-28-0046To be published on 02/07/2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in electrically conductive materials, regardless of their hardness. Due to the growing demand for superior products and the necessity for quick design adjustments, decision-making in the manufacturing industry has become increasingly complex. This study specifically examines Titanium Grade 9 and suggests the creation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) model for predictive modeling 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 9 provides more flexibility, efficiency, and accuracy in comparison to

Pasupuleti, Thejasree, Natarajan, Manikandan, Raju, Dhanasekar, Kiruthika, Jothi, Katta, Lakshmi Narasimhamu, Silambarasan, R

Matt finish Vehicles– Emerging trend in automotive sector for visual attraction

2025-28-0038To be published on 02/07/2025

Exterior paint look is one the important tie braker on vehicle aesthetic appeal when compared with equal contenders. Time to time, globally new trend emerges to make the vehicle look attractive, one of the technologies is matt finish. To adapt with changing trends, current Indian market trend is moving from glossy finish paint to Matte finish paint by low gloss and attractive texture characteristics, which can provide soft light and pleasant feel. Matt finish helps to enhance the shape and features of the painted surface, feature lines clarity and enhanced visual appeal with absorption of light rather than reflection by glossy finish. Any new technology comes with challenges and limitations compared to traditional approach of vehicle painting and handling in field. In this paper, we have discussed on development of matt finish paint for automotive sector as per OEM manufacturing setup, definition of gloss for matt finish, quantification method, classification of gloss, mechanism

Kumar, Vinay, Lalwani, Rahul, Jayanthan, B

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

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

Novel Test Method for Accelerated Fatigue Testing of Engine Camshaft

2025-28-0055To be published on 02/07/2025

In some IC engines, fuel injection pump is driven by camshaft; thus, these camshafts are designed for bending and torsional loads. Conventionally, camshafts are built-to-specification. Typically, durability assessment of camshafts happens at engine level, this calls for proto or calibration engine to be made and available for testing. As there are limited number of engine level proto testing, the overall scatter in camshafts due to manufacturing/process variations is not possible to be covered. This poses a risk of camshaft failures in the final stages of product development. To mitigate this risk, a component level standard test method is needed for quickly validating design and manufacturing process of camshafts for second source suppliers. The current paper discusses the process followed for arriving at a standard test setup and the challenges in terms of capturing the appropriate physics. Camshaft rear end experiences bending load due to FIP operation, and this bending load is

Chakraborty, Abhirup, S, Aravamuthan, K, Karthikeyan

Study the Effect of Fasteners Coating Materials to Resolve the Leakage Issue in Steering Gear Assembly

2025-28-0128To be published on 02/07/2025

Abstract: In commercial vehicle industry, Hydraulic Power Assisted Steering (HPAS) gear plays a vital role to utilize the hydraulic force by amplifying the mechanical input. HPAS gear consists of housing, sector shaft, side cover, worm shaft, valve housing and rack piston. Side cover assembly is connected with housing assembly through bolts which is in exposure to high pressure hydraulic fluid. During high pressure running condition, torque relaxation in the bolt is observed which leads to the loosening of bolts and tends to hydraulic fluid leakage through bolts. Since, some of the bolts are exposed to the fluid environment in the inner surface of the housing, the existing phosphate coated bolts are relaxed and loosened due to the bolts that exposed to the oil environment which have insufficient coefficient of friction in bolt head and thread. To overcome the bolt failure during high pressure hydraulic application various bolt coating analysis is experimented to withstand the

Ayyappan, Rakshna, Govindarasu, Anbarasu, P, Rajasekar, D, Senthil Kumar

OPTIMIZED DESIGN AND ANALYSIS OF A HIGH-PERFORMANCE, TRACK-FOCUSED QUAD BIKE FOR THE INDIAN MARKET

2025-28-0061To be published on 02/07/2025

A comprehensive approach to the optimized design and analysis of a track-focused quad bike specifically tailored for the Indian market. The design process integrates multiple critical factors, including driver ergonomics, aesthetics, and strategic component placement, to establish the optimal vehicle dimensions. The primary objective is to ensure comfort, functionality, and visual appeal while addressing the unique demands of the Indian terrain and user preferences. A meticulous selection process for tires and suspension geometry is conducted using the advanced Optimum Kinematics software. This optimization ensures that the vehicle can adeptly handle a variety of road conditions, providing superior performance and stability. The vehicle’s core structure features a space frame chassis, engineered to minimize tubing and facilitate ease of fabrication, contributing to both weight reduction and structural integrity. A robust 600cc 4-cylinder engine is selected, emphasizing an optimal power

Thanikonda, Praveen Kumar, Shaik, Amjad, Tappa, Raju, Ratlavath, Ramu, Navar, Adarsh, Challa, Ajith Kumar

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