Nirav Mehta - Project and Research

Master's thesis "Design and optimization of sheet metal bending tools using genetic algorithm"

April 2015-May-2016(Industrial funded Project)

This work describes to generate tool part families for Automatic Press break tooling in air bending. Task is to choose right tooling for requested sheet metal part which is one of the important factors. Bending tool needs to satisfy geometrical and material characteristic of work piece. Here we describe a systematic algorithm for synthesizing Die Punch shape that can produce maximum number of bend part in minimum numbers of tooling required. For that we have to develop Excel and Matlab based evaluation model. From that data we create parametric model of possible tools. From constrains we could modify shapes of the tools. Finally we perform FEA analysis to verify for force capacities. Then selecting proper optimization technique we could prepare exclusive chart for different types of tool combination on basis of basis of their angle radius and tonnage capacity.

Biomechanical analysis of Femoral fracture to understand stress distribution by using Finite element analysis

Jan 2022- April 2022(Research project at LJ institute of engineering and technology)

Femur fractures can be treated with bone plates to connect them together. Finite element analysis is commonly used to characterize bone activity and choose appropriate plates. A virtual model of the femur is constructed in SolidWorks software for this biomechanical examination. Stress fractures, impact fractures, and compression fractures are all investigated in the femur. The finite element analysis (FEA) approach is used in this work, which is done in ANSYS software. The findings will aid orthopedic surgeons in selecting appropriate plates and understanding the biomechanical behavior of the femur bone. In comparison to earlier investigations, the stress results were shown to be optimal.

Design and implementation of IOT based smart irrigation system

Jan 2021-July 2021(Funded by Startup India)

In this project, smart irrigation with sensing, control, and monitoring systems was established utilizing smart intervention over the Internet of Things (IoT). Soil moisture, temperature, and humidity levels are considered while designing the irrigation system architecture for the Internet of Things. This system uses an IoT-based strategy to deliver information on the soil and environmental conditions to the user's mobile phone. As a result, the user may check on the state of the field or plantation from a distance.

Research on "TEMPERATURE OPTIMIZATION OF A BATTERY MODULE FOR AN ELECTRIC ALL-TERRAIN VEHICLE"

June 2020-March 2021(Research project at LJ institute of engineering and technology)

In this research we have done Temperature Optimization of a Battery Module for an Electric All-Terrain Vehicle serves as the foundation for this work. An overview of the behavior of lithium-ion batteries is first conducted, and then a battery thermal management system and various cooling system types are designed. For our case study, we took an all-terrain vehicle into account and made the appropriate motor power, torque, and RPM calculations in accordance with that. We have chosen the cell nomenclature and required number of cells based on the calculations that were generated. Additionally, after applying the boundary conditions, we used ANSYS to evaluate the Battery Module for temperature optimization. The Battery Module was developed in Solid Works. Steady State Thermal Analysis is done on our module to analyze how it reacts to the boundary conditions. This has been done at LJ institute of engineering's CAD lab.

Optimization of design function using hybrid algorithm for practical application

July 2018-Oct 2018(Seminar project at LJ institute of engineering and technology)

In this research project optimization is performed on Rosenbrock's function by mixing two or more optimization method. In this particular work local and global optimization method is combined, one is genetic algorithm and local maxima/minima combined. Rosenbrock's function is notorious in optimization because of the slow convergence most methods exhibit when trying to minimize this function. In this process Local optimization of continuous function of one or more variables gives us local maxima or minima. Then simply cross over our favorable local search technique with genetic algorithm. Genetic algorithm helps us to find global solution of it. Where local optimization method converges speedy towards solution and GA gives us global perspective of it. This method can be adopted to different models easily. Right now, I am working on adaptation of this method for the automatic calibration of conceptual rainfall-runoff models.

Performance analysis of aluminum Al5080 subjected to low speed impact loading

Jan 2018-July 2018(Industrial funded Project)

In this industrial project I have use AL5080 content for various 3 mm and 4 mm thicknesses and use a traction tensile test system and a frame shock machine to detect the displacement, stress intensity and energy of effect. After that, I have use the statistical analysis Minitab 16 to build graphs. I eventually concluded that the increased content thickness, energy and tensile strength were increased. 3 mm thickness layer period increases as the material movement increases, but at some stage the movement decreases. This material is used in aircraft body and parts. This experiment has provided significant output for future study in impact analysis of aircraft body.

Research project "Performance and CFD analysis of Aircraft winglet using numerical method"

July 2017-Jan 2018((Research project at LJ institute of engineering and technology)

This study intends to analyze mixed Fluent winglet types before determining what occurs when they are attached to wingtips. Utilizing geometry information from the Aero foil Database and the Airbus website, Solid Edge created a wing model sans winglets as well as three other wing variations. Numerous attack angles were used to analyze the effects of the wingless and winged designs, and the drag coefficients were compared as the aircraft took off. Inspection, research, and comparison of model wingtip vortices have been conducted. In comparison to a wing without winglets, the ideal winglet model reduces the drag coefficient and wing spindles. This project outlines the numerical validation procedure for FLUENT®6.3.26 utilizing the Spalart Allmaras turbulence model for the identification and estimation of aerodynamic characteristics of a 3-dimensional sub dimensional rectangular wing (with NACA65-218airfoil section). The findings of this study demonstrate a fair degree of agreement between the numerical and experimental studies. In this Project numerical approach is used to compare with experimental analysis and results come from ANSYS.

Industrial Research project "Design and optimization of lubrication system of gearbox"

Dec 2016-June2017(Industrial funded Project)

In this project, the process of lubricating an industrial gearbox, a component of a production line, is optimized. This gearbox's first gear stage frequently failed. Damage was done to the bearings and gearbox. A adjustment in gearing and bearing lubrication was suggested after damage analysis was conducted. In this instance, dip lubrication was used to lubricate the original gearbox. Insufficient lubricating oil was present below the level of the gear wheel. Both gear wheels, the pinion, and the wheel were harmed as a result of the gearing being improperly lubricated. For the first gearbox shaft bearing and the gear pair, central circulating lubrication has been suggested. The design of circulating lubrication components is the subject of this work. An existing lubricating system is suggested to undergo changes and improvements. The gearbox in issue was modified from its original layout to accommodate the needed circulating lubrication. The decision was made to rebuild the original lubrication system with central circulating lubrication, which required making the required gearbox casing modifications. I have used software like ANSYS, Matlab and solid works for design and optimization.