Browse Topic: Simulation and modeling

Items (26,246)

Application of ANFIS Approach for Prediction of Process Parameters for Electrochemical Machining of Titanium Grade 5 Alloy for Auto parts

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

D, PALANISAMY

Optimizing CI Engine Performance with Neem Oil and Alumina Nano Particles: RSM Central Composite Design

2025-28-0028To be published on 02/07/2025

This study examined the effects of engine speed and the concentration of alumina nanoparticles in diesel biodiesel mixed fuels on the operation and emission characteristics of a single-cylinder, four-stroke diesel engine. Alumina nanoparticles (50, 100, 150, and 200 ppm) were synthesized and added to diesel-biodiesel blended. These mixtures were used to power a diesel engine that run at various engine speeds (800, 850, 900, 950, and 1000 rpm). Using response surface methodology (RSM), the interplay of variables on the diesel engine's performance and emissions was subsequently examined. At a nanoparticle concentration of 160 ppm and an engine speed of 1000 rpm, the maximum values of brake power and torque were measured and found to be 42.82 kW and 402.8 N.m, respectively. Additionally, measurements of the minimum BSFC, CO, and HC were 207.21 gr/kWh, 2.09%, and 1.2%, respectively. At a nanoparticle concentration of 160 ppm and an engine speed of 1000 rpm, the maximum values of CO2 and

V, Praveena, G, Sowndharya

Design and Development of Baja Roll Cage Based on Ergonomics

2025-28-0094To be published on 02/07/2025

Ergonomics of a vehicle play a major role in ensuring drivers safety and comfort. In a case of an off-road vehicle where it overcomes a rough terrain and drenches the driver feels lots of vibrations and fatigue thus an Off-road vehicle demands a huge safety and ergonomic comfort. The chassis design for a Baja SAE vehicle requires a double focus on structural integrity and driver ergonomics to ensure safety and efficiency. This paper examines the ergonomic aspects important to the development of the Baja SAE roll-cage, with driver comfort, approach accessibility, visibility, control -That also includes emphasizing the importance of ease of use, and all are important for improving driver performance and reducing fatigue during driving. It also includes detailed analysis of anthropometric data to define the optimal shape and layout of the roll cages, with several major drivers complying with SAE safety standards. The CAD modelling and simulation software’s were used to analyze various

A, Venkatesan, Krishnaraj, S, C, Parswajinan, B, Ragava Subramanian, K, Ram Ganesh, K, Anbu Selvan

Design and Comprehensive Computational Performance Investigations of Hybrid Vortex Bladeless Turbine with PVEH Patches 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 utilizing the energy of vorticity, an aerodynamic effect (vortex scattering), piezoelectric vibration energy harvesting (PVEH) patches, and profile modifications of a wind turbine. 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 a greater force, resulting in an imbalance that causes the structure to vibrate. In order to convert the 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 PVEH patches are applied to the structure's surface to extract energy from renewable sources. This provides additional energy in addition to the energy produced by the BWT, which is advantageous in

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

Design and Computational analysis of an Advanced Flying Wing UAV with Triple Cupped Wing Profile for Enhanced Manoeuvrability and High-Speed Applications

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 Priyadharshin, Pisharam, Akhila Ajith, Sourirajan, Laxana, Baskar, Sundhar, Vinayagam, Gopinath, Stanislaus Arputharaj, Beena, L, Natrayan, Sakthivel, Pradesh, Raja, Vijayanandh

Design and Computational Investigations on the Performance attainment and Structural Integrity of Advanced Horizontal Axis Wind Turbines for Unmanned Marine Vehicles

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

The integration of advanced Horizontal Axis Wind Turbines (HAWTs) into Unmanned Marine Vehicles (UMVs) significantly enhances their operational efficiency by providing power source. 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 HAWTs in UMVs provide a renewable energy source, reducing operational costs. This continuous power supply enhances mission capabilities and promote energy independence, making them ideal for long-term missions. Ansys Composite PrepPost (ACP) is employed for the pre-processing of HAWT blades, enabling the layering of different composites. The layering of various materials can significantly increase the strength and durability of the HAWT blades. These composites provide superior resistance to fatigue and environmental degradation

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

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

Software Architecture for Autonomous Vehicles Using Matlab Simulink

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

Autonomous vehicles, or self-driving cars, utilize advanced sensors, control systems, and artificial intelligence to independently navigate and operate, offering substantial improvements in road safety, traffic management, and mobility. This paper details the development and simulation of control algorithms for key functionalities in a Level 3 autonomy model of autonomous vehicles using MATLAB Simulink and IPG CarMaker. The focus spans four critical areas: Autonomous Emergency Braking (AEB), Adaptive Cruise Control (ACC), Lane Keep Assist (LKA), and object detection, integrating low-level PID controllers for precise steering, throttle, and brake actuation. AEB employs advanced algorithms, including fine-tuned PID controllers at both high and low levels and kinematic algorithms, to achieve precise braking and stopping distances under varying conditions. ACC utilizes radar data processed through sophisticated PID controllers to maintain safe following distances while minimizing passenger

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

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 design data, secondary design data and performance coefficients such as diameter of the propeller, pitch angle, chord length, lift coefficient are determined through standard analytical approach. About ten different airfoils such as 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 in order to design the propellers. The lift coefficient and drag coefficient values of ten different airfoils using the 13 Reynolds Number and the 20 AOA are acquired from the X-foil software. Based on the effect of high lift to drag ratio (L/D), three advanced airfoils are chosen among ten relevant airfoils. The shortlisted airfoils by means of high L/D ratio provided are as follows

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

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

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

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

NUMERICAL SIMULATION ON AERODYNAMICS CHARACTERISTICS OF MORPHED AIRFOIL WITH TRAILING EDGE DEFLECTION AT LOW SPEED

2025-28-0077To be published on 02/07/2025

A numerical simulation has been conducted on the aerodynamic characteristics of a morphed NACA 0015 airfoil with trailing edge deflections at low speed. The airfoil's trailing edge is deflected at angles of 5°, 10°, 15°, and 20° in both upward and downward directions, over a span of 0.4 m. Steady State simulations are performed for different angles of attack (AOA) ranging from 0° to 21° in 3° intervals at Reynolds number of 3 million. The base model is compared with various deflected configurations to evaluate the aerodynamics performance in terms of lift coefficient (CL), drag coefficient (CD), lift-to-drag ratio (CL/CD). It was found that the lift-to-drag ratio of the morphing wing initially increases to a maximum, then decreases with increasing AOA. The morphing wing shows superior performance compared to the conventional wing, achieving a maximum lift-to-drag ratio of 65.562 at a 5° deflection angle and α = 6°, which is 28.1% higher than the conventional wing. At lower AOAs, the

Sundararaj, Senthilkumar, BHASKAR, Kishore, Kudchadker, Ravish

CFD Analysis On the Effect Of Circular Cavity at Different Location of Airfoil Surface

2025-28-0074To be published on 02/07/2025

The paper presents the effect of cavity at different position of the airfoil on lift coefficient, drag coefficient and lift to drag ratio respectively. Here the analysis performed on SC (2) 0414 3D airfoil by using commercial CFD ANSYS FLUENT. The passive control method is applied by modifying the baseline airfoil surface coordinates to ascertain the aerodynamic behavior of the cavity at 40 %, 50% and 60 % of the chord length successfully where spalart turbulence model technique is chosen to solve boundary layer problems on adverse pressure gradient and tested at extended range of angle of attack -150 to 180. A structured meshing method was used. RANS, Reynolds averaged Navier-Stokes, was the solver used for the unsteady simulations. At Reynolds numbers (Re) of 10× 104 , the coefficients of lift, drag, pressure were observed. The study highlights the aerodynamic characteristics and stall effects at desired angle of attack. It is observed that the cavity at 40 % of the chord length

PUSHPARAJ, CATHERINE VICTORIA, P, Booma Devi, D, Piriadarshani, Ganesan, Balaji, GANESAN, SANTHOSH, Raja, Vijayanandh

Cost-Efficient system to alert and reduce fatality of accident

2025-28-0082To be published on 02/07/2025

In India, road accidents are drastically increasing year on year. Out of 100 accidents,35 percent of accidents are causing fatality to the customers. To tackle this problem, we will utilize this procedure to decrease the occurrence of fatal accidents in India, especially in four-wheelers using Machine Learning Applications. In this concept, we are going to train the Algorithm with videos of different fatality accidents and predict whether the incident are going to happen or not. Steps included in this concept need to process the input real-time video going as feed to the algorithm after feeding input to the algorithm, it will process the video in real time and identify the objects in the input video and constantly check the parameters like what are the objects present in the video and calculates the speed of each object further algorithm calculates the estimated time to reach that particular object and it will classify whether vehicle hit the object or not. To achieve this deep

Reddy, Arunvardhan

Optimization of Fusion Deposition Modeling Parameters for PLA Material for Automobile Interior Using Taguchi-Grey Relational Analysis

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

D, PALANISAMY

Development of Predictive Model for Prediction of Process Parameters for Electrochemical Machining of Inconel 718 for Aero Engine Parts

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

Ramesh Naik, Mude

Effects of Topology Optimization on 3D Lattice Structures and Their Mechanical Characterization

2025-28-0048To be published on 02/07/2025

The advancement of additive manufacturing techniques has opened new possibilities in designing and fabricating complex structures. Lattice structures are significant in engineering due to their exceptional mechanical efficiency and robust structural integrity, which are crucial for various applications such as aerospace, automotive, and space industries. The intricate network of lattice designs strikes an optimal balance between material usage and mechanical performance, resulting in lightweight yet resilient structures capable of withstanding various external forces and stresses. This work investigates the effects of topology optimization on 3D lattice structures and their corresponding mechanical properties. We explore intricate lattice structures, including honeycomb, octet truss, grid structure, and octagonal designs, and calculate their mechanical properties, such as compression strength and relative modulus. A total of 81 lattice structures, each with uniform dimensions of

Natarajan, Harshavardhana

Next-Generation Brake Solutions for Go-Karts: Design and Performance Insights

2025-28-0002To be published on 02/07/2025

The braking system is crucial in go-kart operation, where speed and control are essential for an exhilarating and competitive racing experience. This research article explores a go-kart braking system's intricate design and analysis, aiming to optimize performance under various racing conditions. By adhering to the constraints set by established rulebooks, this study ensures compliance with the safety and performance standards necessary for competitive racing. Optimization focuses on specific requirements such as response time, braking force, and heat dissipation. A comprehensive approach is taken, starting with the selection of appropriate materials for the braking components. This includes an in-depth analysis of their thermal properties to ensure the system can withstand the high temperatures generated during intense braking. The design of the braking system integrates both mechanical and hydraulic principles. This combination ensures a strong and reliable system capable of

Ayyakkannu, Vadivel, M, Ragul, L, Udhayakumar, K, Rathinapandi, J, Vikash, M, Partheeban

Design of a Gearbox for Optimal Weight and Performance in Baja SAE

2025-28-0102To be published on 02/07/2025

Baja SAE India is a collegiate competition where teams design, build, and race off-road vehicles. Given the increasing difficulty of the competition and the engine power limitations, optimizing the powertrain components for both weight and performance is crucial. The design process starts with simulating the vehicle in MATLAB, factoring in engine performance, CVT shifting, and forces such as rolling resistance, air drag, and tractive force to determine the optimal gearbox ratio. Following this, the gearbox shaft diameters are calculated, and the module, width, and diameter of the gears, as well as the bearings, are specified using ASME standards. The gears are then modeled in design software and analyzed for fatigue to ensure an adequate factor of safety. Finally, the gearbox is integrated into the overall vehicle design. The results were verified using Simulink Baja module and Optimum lap. The newly formulated gearbox is 32% lighter and gives an acceleration of 7.99 m/s2

Vadera, Smit Hetalkumar, Jenjeti, Pothan Chandu, Beck, Tanishq Arnav, Bhat, Pramath, Patil, Lavnnya

VIBRATIONAL ANALYSIS OF HUMAN BODY UNDER SITTING POSTURE : A FEA STUDY

2025-28-0103To be published on 02/07/2025

Numerous research efforts have focused on the mathematical modeling of the human body in a seated posture within a vehicle. However, limited work has been dedicated to developing an ellipsoidal model and subsequently conducting modal and frequency response analysis. In this study, an ellipsoidal model was developed, and finite element analysis (FEA) was carried out on a human body in a seated position without a backrest. A 3D ellipsoidal model of the human body was created in SolidWorks using anthropometric data representing the 50th percentile of a 54 kg human, as available in literature. This model was then analyzed and exported to ANSYS Workbench for further analysis. Modal analysis was conducted to determine the natural frequencies of the model, as the human body is particularly susceptible to low-frequency vibrations. The mode shapes at these frequencies were also identified. The natural frequencies obtained from the analysis were compared with existing literature. Additionally

Kanthed, Anshul, Selvam, Karthik, R, Prakash

A hybrid algorithm for optimizing sustainable measures in MQL-turning of Inconel 800H

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

Inconel 800H superalloy is a recent and difficult-to-turn material. This research is focused on obtaining the best machining output effects, such as lesser cutting force, roughness, and residual stress by optimizing the input machining parameters such as cutting speed, feed rate, spraying angle, and nozzle distance using Nano fluid-based minimum quantity lubrication (MQL) a sustainable, cheaper, and environmentally safer method on Inconel 800H. The nanofluid employed in MQL has 0.20 wt % hBN+ remaining % of olive oil. Taguchi L27 is used for experimentation and the Multi-objective optimization (MOO) model of Harris Hawks optimizer (HHO) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is employed to determine the input optimal parameters. Models utilized five different weight schemes including the Analytic Hierarchy Process (AHP), Entropy weight method, Criteria Importance through Inter-Criteria Correlation (CRITIC), Grey relational analysis (GRA

Kannan, Venkatesan

Bidirectional F-type Multilevel Inverter with Enhanced Capacitor Balancing for EV Application

2025-28-0081To be published on 02/07/2025

Abstract: Electric Vehicles are becoming more popular these days. Bidirectional inverters are used to implement regenerative braking in electric vehicles. A unique multi-level bidirectional converter structure is proposed in this paper for applications in electrical vehicles (EV). It is equipped with a multi-level dc-dc transformer with a dc link condenser. The two-way operation of the DC-DC multi-level converter is a critical requirement in electric vehicles. In comparison to the conventional configuration, the proposed one uses only two additional switches and a condenser. The voltage of the multi-level inverter (MLI) F-type is balanced over under defect conditions. The controller proposed reduces the power system's THD and maintains the quality of power. It has benefits like low switching losses, reduced THD, fewer filter needs and superior output quality compared with three-level MLI F-type. The capacitor voltage balance circuit is used to keep the three capacitors in balance. This

Vamsi, Bankuru

Efficient Heuristic for Solving Extremely Large-Scale Open Vehicle Routing Problems with Stringent Delivery Times

2025-28-0085To be published on 02/07/2025

This paper introduces a deterministic heuristic method for solving large-scale open vehicle routing problems (OVRPs) with stringent delivery times. The proposed method is based on the sweep algorithm and aims to obtain approximate solutions for large-scale OVRPs. Initial testing on smaller OVRP instances, with up to 500 customers, demonstrated that the method produces quick approximate solutions, with deviations not exceeding 5% from the best-known solutions (BKS). Further testing on 10 sets of standard benchmark instances, each involving thousands of customers, confirmed that the heuristic provides efficient approximate solutions with minimal CPU time consumption and uses a minimal number of vehicles. This demonstrates the method's effectiveness in handling complex open vehicle routing problems efficiently

Vangipurapu, Bapi Raju, Prasad, Malladi Jogendra

Numerical Analysis of Capillary Performance of Various Lattice Structures for Vapor Chamber Application

2025-28-0062To be published on 02/07/2025

Additive manufacturing has made it possible for the design of increasingly complex structures that require precise manufacturing. This may be particularly beneficial for heat pipe and vapor chamber design – particularly for the wick structure, a very important component. This study uses numerical simulation to analyze three different types of lattice structures of increasing complexity, in terms of their capillary performance. This is one of the most important parameters which determine the wick efficacy. Simple cubic, Column and Octet lattice models are computationally designed and CFD is used to simulate capillary action in a pipe of 0.4 mm inner radius for 2 milliseconds, after validation of the numerical model with existing experimental results. It is found that the Octet lattice (with the most complex inner structure) has the greatest capillary rise in the same amount of time. The rate of rise is not uniform for any structure, but is highest for Octet. This study demonstrates the

Sundararaj, Senthilkumar, BASUROY, Suhashini, HUDGE, Ajay, Kang, Shung-Wen

A reduced-order beam modelling approach of BIW for torsional and bending stiffness optimization

2025-28-0187To be published on 02/07/2025

NVH (Noise, Vibration, and Harshness) simulations of vehicle bodies are crucial for assessing performance during the design phase. However, these simulations typically require detailed CAD models and are time-consuming. In the early stages of vehicle development, when only high-level vehicle sections are available, designing the body-in-white (BIW) structure to meet target values for bending and torsional stiffness is challenging and often requires multiple iterations. To address these challenges, this study deploys a reduced-order modelling approach. This method involves identifying the beam-like sections and major joints within the BIW and calculating their sectional properties (area, area moments of inertia along the plane’s independent axes, and torsion constant). These components form a simplified skeleton model of the BIW. Load and boundary conditions are applied to the suspension mount locations at the front and rear of the vehicle, and NVH parameters are calculated. The results

KHAN, Mohd Zishan Ali, THANAPATI, Alok

Innovative Design and Comprehensive Aerodynamic Performance Investigations on Various Possible Propeller Positions of an Advanced Hexacopter for Easy Manoeuvring

2025-28-0182To be published on 02/07/2025

This work deals with the computational investigations of the component performances of advanced hexacopters under various manoeuvrings of the focused mission profiles. The Advanced Hexacopter is one kind of multirotor vehicle that contains more propellers and flexible arms, which makes this multirotor very manoeuvrable and aerodynamically efficient. This hexacopter was designed specifically to detect leakages and the presence of harmful gases in and around nuclear power plants, along with enhanced payload-carrying capability. This advanced hexacopter contains a frame composed of modified arms equipped with coaxial rotors, which servo motors control. By providing specific and simple inputs to the microcontroller, the hexacopter can autonomously undergo forward and backward manoeuvrings. The primary objective of this study is to analyse and compare different propeller configurations that improve the manoeuvring capability of this unmanned aerial vehicle (UAV), specifically emphasizing

ELANGOVAN, LOGESH, NARAYANAN, SIDHARTH, Arumugam, Lokesh, Sourirajan, Laxana, Raja, Vijayanandh, Kulandaiyappan, Naveen Kumar, Raji, Arul Prakash, Madasamy, Senthil Kumar, Gnanasekaran, Raj Kumar

Cutting-Edge Go-Kart Transmission Design: Maximizing Efficiency, Strength, and Vibration Reduction

2025-28-0090To be published on 02/07/2025

The transmission system in go-karts transfers the power from the engine crankshaft to the rear wheels via a chain drive connected to a sprocket. Unlike many vehicles, go-karts typically lack a differential, simplifying their transmission system. The chain drive effectively manages shock loads, ensuring reliable power delivery. This project aims to design an efficient transmission system by mathematical modeling for go-karts, optimizing power transfer from the engine to the wheels. Initially, a 28-tooth sprocket was designed but proved too heavy. To address this, the sprocket's mass was reduced through strategic skeletonization, while increasing the radius of gyration with inertial rings to enhance the moment of inertia by 5 to 10%, reducing vibrations despite the lower mass. Additionally, shaft designs were evaluated using two materials, EN-8 and mild steel. Shear force and bending moment diagrams were plotted in Python to accurately depict how the shaft, as a statically determinate

Ayyakkannu, Vadivel, Anand, Vijay, K, Rathinapandi, K, Mugilan, Boomi, Sivaram, Kumar, Rithish

High-Performance Steering Solutions for Go-Karts: Design and Assembly Excellence

2025-28-0091To be published on 02/07/2025

The design and assembly of a go-kart steering system is a critical aspect of ensuring optimal performance and safety. This paper presents a comprehensive approach using MATLAB for the conceptualization, simulation, and analysis of a go-kart steering system. The process begins with an exploration of fundamental steering geometry principles, including Ackermann steering and the impact of various parameters on maneuverability and stability. MATLAB is employed to develop a detailed model of the steering mechanism, allowing for precise calculations and adjustments of critical dimensions such as the steering angle, turning radius, and the positioning of linkages. The paper facilitates the simulation of different steering configurations, enabling the iteration to obtain the appropriate wheelbase and trackwidth under varying conditions. The assembly phase translates the optimized design into a physical prototype. This involves selecting appropriate materials, manufacturing components, and

Ayyakkannu, Vadivel, G, CHANDRABOSE, L, Udhayakumar, M, Ragul, Kumar, Rithish, Boomi, Sivaram

Predicting Battery Discharge for All-Terrain Vehicles using Machine Learning on Varied Transmission Ratios

2025-28-0064To be published on 02/07/2025

Battery power management and effective maintenance contribute a major part to electric vehicle’s performance. Particularly in all-terrain vehicles like SAE E-BAJA, the car has to drive to an optimal range in off-road conditions. To ensure the vehicle can operate at an optimal range under off-road conditions, a predictive analysis was conducted using Machine Learning for various transmission ratios using the algorithm known as Random Forest. This approach was employed to measure the Battery's State of Charge (SoC) and power consumption across different transmission ratios. Before applying machine learning, the vehicle underwent extensive real-time testing on an off-road track. During these tests, the State of Charge of the battery, indicated by voltage levels, was carefully monitored. The battery's peak voltage was recorded at 51.9 V, with a minimum acceptable voltage of 49.5 V. Tests were conducted at various transmission ratios, including 6.136, 7.771 and 8.590 under consistent track

L, Ravi Kumar, T, Babu, Kishore S, Gananathji Naveen, S, Priyanka, Raja Vk, Sakthi Sabapathy, S, Adithya

Enhancing Thermal Performance of Trapezoidal Porous Medium Solar Ponds: Experimental and Numerical Analysis

2025-28-0207To be published on 02/07/2025

This study investigates the thermal efficiency of trapezoidal porous medium solar ponds through a multifaceted approach encompassing laboratory experiments, outdoor contrasts, and numerical analysis. Laboratory experiments were conducted to evaluate the heat storage capabilities of various porous materials. Outdoor contrast experiments, involving two mini solar ponds with a surface area of 0.42m×0.42m and a bottom area of 0.09m×0.09m, examined the thermal performance enhancement offered by porous medium incorporation. Factors such as the presence of a cover and the type of porous medium were analyzed for their influence on temperature distribution. Results revealed a notable increase in the maximum temperature of the solar pond by approximately 10°C following the introduction of porous medium. Furthermore, numerical evaluation utilizing MATLAB provided deeper insights into the experimental data, enriching our understanding of the thermal dynamics specific to trapezoidal porous medium

J, VINOTH KUMAR

Machine Learning Based Variation Studies for Electric Vehicle Drive Unit Virtual System Models

2025-28-0171To be published on 02/07/2025

In electric vehicles development, manufacturing variations pose big challenge in designing various mechanical components as these variations directly impact various customer perceivable performance outputs. If the manufacturing variations can be included in design phase itself, overall robustness of the design can be enhanced. This paper delineates machine learning based methods to include manufacturing variations in designing drive units for electric vehicles. In an electric vehicle, the drive unit transfers power or torque from a battery through an inverter to wheels. The drive units are subjected to different types of loads under various vehicle maneuvers. To evaluate the drive unit system virtually, system level simulations are performed. Traditionally, nominal values of the several inputs such as bearing parameters, gear parameters and clearances etc. are used. However, the drive unit must be designed in such a way that outputs meet target considering all the variations of inputs

Penumatsa, Venkata Ramana Raju, Katha, Venkateswar, Black, Derrick, Jain, Sachin, Maddipati, Seshagiri

Lightweight Material Selection for Heavy Payload Multi-Rotor Unmanned Aerial Vehicles Using Alloys, Composites, and Hybrid Composites: An Investigation into Different Loading Conditions Based on Maneuvering

2025-28-0176To be published on 02/07/2025

The primary aim of the work is to identify a suitable hybrid composite material for heavy payload multi-rotor unmanned aerial vehicles (UAV) by conducting fluid-structure-interaction (FSI) experiments on the airframe. The UAV's airframe has an estimated payload lifting capacity of 25 kg. Therefore, it is necessary to determine the structural integrity of the strength parameters for tensile and compressive loads under various operating situations. Instead of conventional computational models, this work imposed a unique computational composite molding prepared through ANSYS ACP tool. Additionally, the various composite computational models have been specifically developed in the ANSYS ACP tool to evaluate the airframe's capacity to endure different composite materials, alloys, and hybrid materials. This study thoroughly investigates the computational analysis of more than 20 materials, encompassing both individual materials and hybrid systems. This study primarily examines hybrid

Veeraperumal Senthil Nathan, Janani Priyadharshin, Baskar, Sundhar, Vinayagam, Gopinath, Gnanasekaran, Raj Kumar, Sakthivel, Pradesh, Ganesan, Balaji, Stanislaus Arputharaj, Beena, L, Natrayan, Raja, Vijayanandh

Gear misalignment optimization for Electric Drive Unit using Machine learning based Prescriptive Analytics

2025-28-0166To be published on 02/07/2025

Gear mesh misalignment in electric drive unit may result in shifts in the load distribution of a gear pair that can increase contact and bending stresses. It may move the peak bending and contact stresses to the edge of the face width, and also increase gear noise. Lower misalignment value is often required to reduce the peak bending and contact stresses and have a balanced load distribution along the gear flank. This paper delineates a method which is also called prescriptive analytics that combines virtual simulations, Machine learning (ML) and optimization techniques to minimize different gear misalignments for electric vehicle drive unit. The gear misalignments are dependent on stiffness of different components in the drive unit. So, a comprehensive approach that incorporates effect of individual components and their interactions is needed. Generally, an assembly level virtual simulation is performed to evaluate gear misalignments. In order to minimize the misalignments, manual

Penumatsa, Venkata Ramana Raju, Thomas, Benson, Black, Derrick, Jain, Sachin

Artificial Intelligence based modelling and Optimization of turning parameters for D2 Steel with textured tool using Grey Relational Analysis- ANFIS - JAYA Algorithm

2025-28-0139To be published on 02/07/2025

This study explores the potential of a hybrid artificial intelligence (AI) approach for optimizing the turning parameters of D2 steel. The research investigates the influence of textured cutting tools on achieving optimal machining performance while prioritizing eco-friendly Minimum Quantity Lubrication (MQL) practices. A novel approach is proposed, combining Grey Relational Analysis (GRA) for multi-objective evaluation, the Adaptive Neuro-Fuzzy Inference System (ANFIS) for robust modeling, and the JAYA algorithm for efficient optimization. GRA transforms multi-objective responses, including cutting zone temperature, surface roughness, tool wear, and material removal rate (MRR), into a single Grey Relational Grade (GRG) under MQL conditions. This GRG represents the desired machining efficiency that balances performance and environmental impact. ANFIS, leveraging the strengths of both neural networks and fuzzy logic, models the relationship between control parameters (speed, feed, depth

Katta, Lakshmi Narasimhamu

SIMULTANEOUS SCHEDULING OF MACHINES AND AGVs BY USING BLACK WIDOW SPIDER OPTIMIZATION ALGORITHM

2025-28-0136To be published on 02/07/2025

This paper introduces a novel approach to address scheduling complexities in manufacturing environments by simultaneously optimizing machines and Automated Guided Vehicles (AGVs). Employing the Black Widow Spider Optimization Algorithm (BWSOA), inspired by the hunting behavior of black widow spiders, the study aims to minimize make-span, reduce idle time, and enhance overall system productivity. Through the BWSOA, jobs and operations are efficiently allocated to machines and AGVs. Benchmark problems are utilized to evaluate the effectiveness of the proposed methodology against existing scheduling methods. The findings demonstrate promising results, indicating that the BWSOA effectively minimizes make-span, mitigates idle time, and improves system productivity compared to conventional approaches. However, the study acknowledges limitations in the generalizability of findings and suggests further research to refine parameters and explore applicability across diverse manufacturing

Siva Rami Reddy, Narapureddy

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

Kiruthika, Jothi

Viability of Magnetic Suspension System for Automobile

2025-28-0001To be published on 02/07/2025

The automobile industry is currently at its peak, moving towards new directions with the development of electric vehicles, hydrogen vehicles, and related fields. This shift necessitates the development and transformation of various conventional automotive components, including suspension systems. Traditional suspensions such as hydraulic, pneumatic, and spring types are still widely used. However, these systems have limitations: coil spring suspensions become harder over time and lose their cushioning effect, while hydraulic and pneumatic systems require regular maintenance. Magnetic suspension systems offer a solution to these limitations, providing a long-lasting cushioning effect. In a magnetic suspension system, one magnet is fixed at the top of the inner portion of the cylinder, and a second magnet is placed at the bottom, reciprocating up and down due to magnetic repulsion. The repulsion between these two magnets creates the suspension effect. This work discusses the design and

Deshpande, Achyut Anant, Magdum, Yash, Landge, Charak Ramesh

Heat Transfer Enhancement for an Annular Fin Heat Exchanger using a Combination of Vortex Generators and Slot

2025-28-0067To be published on 02/07/2025

A numerical simulation of heat transfer enhancement for an annular finned tube heat exchanger with a combination of vortex generators (VGs) and a slot is carried out. A pair of delta winglet type vortex generators is placed in common flow down orientation, at an angle of 400 with respect to flow direction on the annular fin surface and a slot of diameter equal to half the fin pitch is introduced at the centre of the cylinder. Flow through the slot is perpendicular to cylinder axis and parallel to gas flow direction. The numerical investigations are performed at three different Reynolds numbers of 100, 500 and 1000 for three heat exchanger geometrical configurations namely, base model (i.e., without VGs and slot), base with VGs and base with VGs and a slot. The fin performance parameters are calculated in terms of the Fanning friction factor and Nusselt number and compared with those of base model. The percentage of increments for heat transfer and pressure drop with respect to base

Sundararaj, Senthilkumar

DESIGN AND ANALYSIS OF TWO WHEELER ELECTRIC VEHICLE BATTERY

2025-28-0021To be published on 02/07/2025

This project aims to design, develop, and implement a two-wheeler electric vehicle (EV) that meets the growing demand for sustainable transportation solutions. The project encompasses various stages, including conceptualization, design, prototyping, testing, and optimization. Key aspects of the design include the selection of appropriate components such as the electric motor, battery pack, controller, chassis, and suspension system to ensure optimal performance, efficiency, and safety. Additionally, considerations for aerodynamics, ergonomics, and aesthetics are integrated into the design process to enhance user experience. The implementation phase involves making, assembly, and validation of the prototype through rigorous testing procedures, including performance testing, durability testing, and safety assessments. The project aims to contribute to learning of electric mobility by providing a sustainable and efficient alternative to traditional gasoline-powered two-wheelers. This

Raja, Selvakumar

Application of ANFIS Approach for Prediction of Process Parameters for Electrochemical Machining of Titanium Grade 9 Alloys for Auto parts

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

Kiruthika, Jothi

DESIGN AND DEVELOPMENT OF STEERING BASED ADAPTIVE HEADLIGHT SYSTEM

2024-28-0272To be published on 12/05/2024

Driving at night presents numerous challenges, particularly on curved roads where visibility is a significant concern. Despite only a quarter of driving occurring at night, over half of driving accidents happen during this period, highlighting the need for better illumination solutions. Traditional headlamp systems often fail to adequately light curved roads, increasing accident risks. To address this issue, Adaptive Front Lighting Systems (AFS) have been developed. The goal is to design a prototype AFS that integrates seamlessly with existing fixed headlamp systems, prioritizing accuracy, reliability, and component availability to ensure its feasibility and effectiveness. AFS represents a significant innovation in automotive lighting technology, specifically targeting the limitations of conventional headlamps in illuminating curved roads. Unlike static headlamps, which emit a fixed beam pattern regardless of driving conditions, AFS dynamically adjusts the headlamp intensity based on

T, Karthi, G, Manikandan, P C, Murugan, S, Sakthivel, N, Vinu, P, Dineshkumar

An Intelligent estimation of Dynamic Vehicle mass for Electric Vehicle

2024-28-0229To be published on 12/05/2024

Dynamic Vehicle mass is one of the most critical parameters in the automotive controls such as battery management, transmission shift scheduling, distance-to-empty predictions and most importantly, various active and passive safety systems. This work aims to find out Dynamic Vehicle mass for Electric Vehicles in a real time transient driving conditions. The work proposes a real-time approach in finding Dynamic vehicle mass where accumulated Energy based vehicle performance, an improvement to the vehicle dynamics equation, has been employed for consistent and accurate results. Factors affecting vehicle mass such as road grade, dynamic friction coefficient, driving pattern, wheel slip etc. have been considered for model optimization. Here recursive Bayesian state estimator has been used for finding vehicle mass as a constant state variable while time varying forgetting factors are used to nullify the impact of major losses. Algorithm is auto tuned using Machine Learning techniques to

Pandey, Suchit, Sarkar, Prasanta, Sawhney, Chandan, Kondhare, Manish, Joshi, Pawan, CH, Sri Ram

A novel methodology for Cascading Vehicle level fuel tank slosh noise performance to component level

2024-28-0271To be published on 12/05/2024

Slosh, a phenomenon occurring in a vehicle's tank during movement, significantly contributes to noise and vibration issues, often reaching 25dB above idle levels. Existing methods lack a standardized approach to quantify and address this dynamic, short-duration noise. This paper introduces a novel methodology to bridge this gap. This approach standardizes the generation of the slosh phenomenon by establishing vehicle-level acceleration, braking, and driving profiles. Noise and vibration data capture, along with boundary conditions and event parameters, categorizes slosh noise into Hit and Splash noise, differentiated by distinct driving profiles and frequency content. A dedicated test rig designed that replicates these conditions at the subsystem level. Vehicle speed and braking profiles are translated into rig-specific acceleration and deceleration profiles, enabling consistent data capture for correlation with vehicle-level results. Computational Fluid Dynamics (CFD) analysis

Titave, Uttam Vasant, Zalaki, Nitin, Vardhanan K, Aravindha Vishnu, Naidu, Sudhakara, Virmani, Nishant

Active Hydro-pneumatic Suspension Active Disturbance Rejection Sliding Mode Control to Improve Vehicle Stability

2024-28-0215To be published on 12/05/2024

Hydro-pneumatic suspension is widely used because of its desirable nonlinear stiffness and damping characteristics. However, the presence of parameter uncertainty and high nonlinearity in the system, lead to unsatisfactory control performance of the traditional controller in practical applications. Therefore, A novel stability control method for active hydro-pneumatic suspension (AHPS) is proposed. Firstly, a nonlinear mathematical model of the hydro-pneumatic suspension considering the seal friction is established based on the hydraulic principle and the knowledge of hydrodynamics. On the basis of the established hydro-pneumatic suspension nonlinear model, a vehicle dynamics model is established. Secondly, an active disturbance rejection sliding mode controller (ADRSMC) is designed for the vertical, roll, and pitch motions of the sprung mass. The extended state observer (ESO) is used to estimate the lumped disturbance caused by the nonlinearity and uncertainty of the model, which is

Niu, Changsheng, Liu, Xiaoang, Jia, Xing, Gong, Bo, Xu, Bo

Evaluation of Dynamic Load Coming on E-Driveline Due to Bump and Study its Effect on Motor Mountings and Battery Position

2024-28-0171To be published on 12/05/2024

During the development of E-Driveline, it is observed that loading failure encountered with On-highway vehicle’s E-Drivelines has increased in comparison with traditional driveline. The major cause of these failures is motor and battery reaction loads acting on driveline in electric vehicles. The main source of load generation is acute dynamic reaction coming from road conditions i.e., bumps, potholes, ditch, uneven surfaces and get transferred to motor or batteries through the E-Driveline. The uneven distribution of motor and battery loads in vehicle will amplify the dynamic reactions which may lead to severe failures. It will be useful if we predict the dynamic loads in early design and simulation stage for accurate solution. This work is based on development of multi body dynamic modeling and simulation approach to predict loads coming on to E-Driveline due to road conditions and correlate it with test setup of actual vehicle running on these road conditions. After the correlation

Deshmukh, Shardul, Nikam, Vinod

Simulation methodology for hydrogen concentration and dilution strategy in a hydrogen fueled internal combustion engine

2024-28-0220To be published on 12/05/2024

Manufacturers of internal combustion engines are changing their focus to non-conventional fuels like hydrogen in response to the worrying global warming situation. When compared to conventional fuels like gasoline or diesel, the use of gaseous hydrogen fuel in an internal combustion engine powered by hydrogen can lessen the engine's negative environmental effects. But occasionally, hydrogen can leak to the engine top cover through the high-pressure fuel injection system or as blowby within the crankcase. Static zones may emerge as a result of these H2 leaks. Potential explosion or fire can result when the H2 concentration in these stagnation zones is more than 4% and triggers a minimum ignition energy of 0.02 mJ. A CFD simulation methodology incorporating multi-species model, piston, and crank motion is developed to estimate the H2 concentration within crankcase. The blowby values are determined from the experimental measurement and used as the inputs. The dilution strategy and system

Sahu, Abhay Kumar, Nagawade, Shubham, Veerbhadra, Swati

Low Cycle Thermo-Mechanical Fatigue Life of Solder Joints using Cohesive Zone Model

2024-28-0253To be published on 12/05/2024

A temperature dependent cohesive zone model considering the thermo-mechanical fatigue loadings are used to simulate and predict the failure process of solder joint interface in power electronics modules. Cohesive Zone Models (CZMs) are gaining popularity for modeling the fracture and fatigue behavior in various class of materials such as metals, polymers, ceramics, and their composite materials. Unlike the traditional fracture mechanics which considers concept of infinitesimal crack, CZMs assume a fracture process zone in which external energy is distributed in vicinity to propagating crack. In order to predict the fatigue-fracture process under thermo-mechanical cyclic loading, a damage accumulation variable is utilized. The calculation of damage is performed using a progressive mechanism, and the cohesive zone model is updated to reflect the present level of damage. The existing cohesive forces are influenced by both the current damage status and the extent of separation

Singh, Praveen Kumar, Sahu, Abhishek, Chirravuri, Bhaskara, Miller, Ronald

A Simulation-based Methodology for Optimizing correlation of Brake Disc temperature

2024-28-0183To be published on 12/05/2024

Brake disc thermal capacity is a key factor for brake performance and brake part life. Hence it is very important to optimize the correlation of brake disc for thermal capacity by considering the critical parameters. Optimization algorithm is used to optimize the critical parameters to achieve the correlation. A front loading tool is developed to optimize the brake disc keeping target thermal capacity via optimization algorithm

Negi, Ayush Singh, Kochhar, Raman

Trailer Disengage confirmation Alarm System for Electric Subsystems

2024-28-0213To be published on 12/05/2024

This paper presents a Trailer-Tractor Disengage Alarm System (TTDAS) designed to enhance safety in electrical connections between the tractor and trailer of commercial vehicles. The proposed system addresses the critical issue of unintentional disengagement of electrical connections, which can lead to hazardous situations on the road. The system employs sensor technologies and intelligent algorithms to continuously monitor the status of the electrical connection between the tractor and trailer. In the event of a disconnection, the system activates a robust alarm mechanism to promptly notify the driver, mitigating the risk of accidents and ensuring the safety of both the vehicle and other road users. Key features of the Trailer Disengage Confirmation Alarm System include real-time monitoring, rapid response time, and compatibility with various trailer configurations. The paper details the system architecture, including the integration of sensors, control units, and the alarm mechanism

Singh, Amandeep, Kumar, Pradeep, Suresh, Karthikrajan, Kotian, Pradeep, T, Thirunavukkarasu, Chitreddy, Bharath, R, Sunilkumar

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