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Global Maxima of Stalagmite Function

Aim :- Write a code in MATLAB to optimise the Stalagmite function and find the global maxima of the Stalagmite function by using Genetic Algorithm. Genetic Algorithm :- A Genetic Algorithm is a search heuristic that is inspired by Charles Darwin\'s theory of natural evolution. This algorithm reflects the process of natural…

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Read more Projects by Dipesh Salunke (27)

BlockMesh Drill down challenge

Objective:

BlockMesh Drilldown Boundary condition specification Follow the specifications that are provided in the following figure. Mesh specification Number of cells along the x direction (longer dimension) = 200 Number of cells along the y direction = 20  (For ease) Grading factor near all walls. (0.2,0.5,0.8) BlockMesh BlockMeshDict…

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25 Aug 2020 05:13 PM IST

  • CFD
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Simulation of Flow through a pipe in OpenFoam

Objective:

Objectives-1 : (1) To Write a program in Matlab that can generate the computational mesh automatically for any wedge angle and grading schemes. (2) For a baseline mesh, show that the velocity profile matches with the Hagen poiseuille's equation. Show that the velocity profile is fully developed. (3) Post…

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25 Aug 2020 05:12 PM IST

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Steady Vs Unsteady flow over a cylinder

Objective:

Aim : Simulate the flow over a cylinder and explain the phenomenon of Karman vortex street.  PART-I Simulate the flow with the steady and unsteady case and calculate the Strouhal Number for Re= 100.  PART-II Calculate the coefficient of drag and lift over a cylinder by setting the Reynolds number to 10,100,1000,10000 &…

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25 Aug 2020 05:09 PM IST

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    Mixing efficiency

    Objective:

    Mixing Efficiency Two versions of the mixing tee is made using CAD software.One of them is longer than the other. Steady-state simulation was set up to compare the mixing effectiveness when hot inlet temperature is 360C & the Cold inlet is at 190C.  Theory : A Tee is formed by two pipe sections joined at a right…

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    25 Aug 2020 05:07 PM IST

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      Week 9 - FVM Literature Review

      Objective:

      Need of Interpolation schemes in Finite Control Volume Method The approximation of surface and volume integral may require values of the variable at locations other than the computational nodes of C.V. So, values at these locations are obtained using Interpolation.  There are different Interpolation schemes such as…

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      04 Jul 2020 03:06 PM IST

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        Simulation of a 1D Super-sonic nozzle flow simulation using Macormack Method

        Objective:

        Objective :  To solve the 1D supersonic nozzle flow equations using the Macormack Method. Compare the normalized mass flow rate between the conservative forms and non-conservative forms to make suitable conclusions. Figure out the minimum number of cycles for which the simulation should be run in order for convergence.…

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        08 May 2020 02:24 PM IST

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        Sloving Second Order ODE using Octave - Simple Pendulum Animation

        Objective:

        In mathematics, an Ordinary Differential Equation (ODE) is a differential equation containing one or more functions of one independent variable and the derivatives of those functions. ODE is used to describe the Transient Behaviour of system. Here, motion of Simple Pendulum is also governing by Second Order ODE as…

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        07 May 2020 03:23 AM IST

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          Parsing NASA Thermodynamic Data

          Objective:

          Project-1 : Parsing NASA Thermodynamic Data NASA  came up with polynomials that can be used to evaluate thermodynamic properties such as Specific Heat, Enthalpy and Entropy. In this polynomials, first seven co-efficients are High-Temperature co-efficients and second seven co-efficients are Low-Temperature…

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          03 May 2020 03:33 AM IST

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          Curve Fitting

          Objective:

          Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit (Closest Proximity) to a series of data points, possibly subject to constraints. By curve fitting, we can mathematically construct the functional relationship between the observed data set and parameter…

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          03 May 2020 03:33 AM IST

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          Forward Kinematics of Robotic Arm

          Objective:

          %Forward Kinematics of Robotic Arm %Octave Program l1=1; l2=0.5; theta1=linspace(0,90,10); theta2=linspace(0,90,10); ct=1; for i=1:length(theta1) THETA1=theta1(i); for j=1:length(theta2) THETA2=theta2(j); x0=0; y0=0; x1= l1*cosd(THETA1); y1= l1*sind(THETA1); x2= x1 +(l2*cosd(THETA2)); y2= y1 +(l2*sind(THETA2)); plot([x0…

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          03 May 2020 03:33 AM IST

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            Solving Second order ODE using Python - Simple Pendulum Animation

            Objective:

            In mathematics, Ordinary Differential Equation (ODE) is a differential equation containing one or more functions of one independent variable and the derivatives of those functions. In Engineering, ODE is used to describe the Transient Behaviour of system. Here, motion of Simple Pendulum is also governing by Second Order…

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            03 May 2020 03:33 AM IST

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              Data Analysis - Python

              Objective:

              Aim :- To create a Data Visualizer Tool that does the following things. Data Visualizer  Your script should take column numbers as the input and plot the respective columns as separate images. Each file should be saved by the name of the column. The plot labels should be extracted from the file. If, I request…

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              03 May 2020 03:33 AM IST

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                Global Maxima of Stalagmite Function

                Objective:

                Aim :- Write a code in MATLAB to optimise the Stalagmite function and find the global maxima of the Stalagmite function by using Genetic Algorithm. Genetic Algorithm :- A Genetic Algorithm is a search heuristic that is inspired by Charles Darwin\'s theory of natural evolution. This algorithm reflects the process of natural…

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                03 May 2020 03:33 AM IST

                Read more

                Curve Fitting - Python

                Objective:

                Curve Fitting is the process of constructing a curve, or mathematical function that has the best fit (closest proximity) to a series of data points. By Curve Fitting, we can mathematically construct a functional relationship between the observed data sets and parameter values.It is highly effective in mathematical…

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                03 May 2020 03:33 AM IST

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                  Flow over Bicycle

                  Objective:

                  #To plot a Velocity vs Drag Force Here, first assumption is that, cyclist is following Aero bars position. Aero bars position allow an individual to maintain an Aerodynamic Position. As per the data, Coefficient of Drag is 0.7 for Aero bars Position. Below is the wind tunnel data of rider in Aero bars position.…

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                  03 May 2020 03:33 AM IST

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                    Flow over a Cylinder

                    Objective:

                    Aim : To simulate flow over a cylinder at different reynolds number. Run a baseline simulation and then calculate the Reynolds number. Then increase the Reynolds number by a factor of 20%, 40%, and 100% then run the transient flow simulation. Parameters :  Cylinder Diameter : 50 mm Cylinder Length : 80 mm Baseline…

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                    03 May 2020 03:33 AM IST

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                      Air Standard Cycle - Otto Cycle

                      Objective:

                      %Octave code for Engine Kinematics function [V] = engine_kinematics(bore,stroke,con_rod,cr,Start_crank,End_crank) a=stroke/2; R=con_rod/a; V_swept= pi/4*bore^2*stroke; V_clearance= V_swept/(cr-1); theta= linspace(Start_crank,End_crank,180); term1 = 0.5*(cr-1); term2 = R+1-cosd(theta); term3 = (R^2 - sind(theta).^2).^0.5;…

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                      03 May 2020 03:33 AM IST

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                        Flow over a NACA 0021 Airfoil

                        Objective:

                        Aim : (1) Model the flow over a NACA0021 Airfoil          (2)  For the angle of attacks 0,2,4,6,8,10 compare the lift and drag forces. In fluid dynamics, Angle of Attack is the angle between a reference line on a body and the vector representing the relative motion between the body and…

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                        03 May 2020 03:33 AM IST

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                          Modelling & Simulation of Flow through a Flowbench

                          Objective:

                          Aim : To create a 3D model of a flow bench and run flow analysis. Grid dependence test :- For three grids run your simulation at a particular valve lift and explain your results. Effect of valve lift on mass flow rate :- Once you have decided the best grid, run a parametric study to show the effect of valve lift on…

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                          03 May 2020 03:33 AM IST

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                            Centrifugal Pump Design Analysis

                            Objective:

                            Aim : To Create the 3D model for a centrifugal pump and then run the simulation of water flow through the pump to find out the mass flow rate at outlet & Pressure Ratio. A Centrifugal Pump converts rotational energy, often from a motor, to energy in a moving fluid. A portion of the energy goes into kinetic energy…

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                            03 May 2020 03:33 AM IST

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                              Flow over a Bicycle - Python

                              Objective:

                              Aero Bars position allow a cyclist to maintain an Aerodynamic position. Here, first assumption is that cyclist is following Aero Bars position. Co-efficient of Drag for Aero Bars position is 0.7 Below is the wind tunnel data of cyclist in Aero Bars position. As per the above data, value of CDA is 0.250 CDA is the product…

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                              03 May 2020 03:33 AM IST

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                                Constraint Minimization using Lagrange Multipliers

                                Objective:

                                Aim :- To minimize a simple non-linear function by using Lagrange Multipliers. Given Function : Given Constraint : Lagrange Multipliers In mathematical optimization, the method of Lagrange multipliers is a strategy for finding the local maxima and minima of a function subject to equality constraints. The great advantage…

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                                03 May 2020 03:33 AM IST

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                                  Air Standard Cycle Otto Cycle - Python

                                  Objective:

                                  Otto cycle is an Air Standard cycle that is used in spark-ignition internal combustion engines (modern petrol engines). An Otto cycle consists of four processes: Two isentropic (reversible adiabatic) processes. Two isochoric (constant volume) processes. Process 1-2 : Isentropic Compression Process Process 2-3 : Constant…

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                                  03 May 2020 03:33 AM IST

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                                    Finding Minimum Air Cusion Pressure with Newton Raphson Method - Python

                                    Objective:

                                    Aim :- To determine the minimum cushion pressure needed to break a given thickness of iceusing an air cushion vehicle. In Mathematical Modeling: Classroom Notes in Applied Mathematics, SIAM 1987 , Muller derived the equation,                          …

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                                    03 May 2020 03:33 AM IST

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                                      Forward Kinematics of Robotic Arm - Python

                                      Objective:

                                      #Python Program to Simulate Forward Kinematics of 2R Robotic Arm :- #Forward Kinematics of Robotic Arm #By DIPESH SALUNKE import math import matplotlib.pyplot as plt #Length of First Link l1=1 #Length of Second Link l2=0.5 n_theta=10 theta_start = 0 theta_end = math.pi/2 theta1 = [] #Empty Array for Angular Displacement…

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                                      03 May 2020 03:33 AM IST

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                                        Rankine Cycle Simulator

                                        Objective:

                                        Project-2 : Rankine Cycle Simulator                                                       Rankine Cycle The Rankine cycle is an idealized thermodynamic cycle of a heat engine…

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                                        03 May 2020 03:33 AM IST

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                                        Solving Steady and Unsteady 2D Heat Conduction Problem

                                        Objective:

                                        Aim : To solve the 2D Heat Conduction equation using a Steady state solver and Transient solver using Iterative techniques like, 1. Jacobi 2. Gauss-seidel 3. Successive over-relaxation Absolute error criteria is 1e-4 Assume that the domain is a unit square.  Assume nx = ny [Number of points along the x direction is…

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                                        16 Apr 2020 11:22 AM IST

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