Week 3.2 - 2R Robotic Arm Challenge

This project serves as a comprehensive guide to the NASA Polynomial Coefficients Database, offering an insightful exploration into the methodology behind the development of these polynomial expressions and the inherent value they bring to the scientific community. By providing detailed information on the coefficients associated…

Rankine cycle : The Rankine Cycle is a fundamental thermodynamic cycle that is widely utilized in power generation systems, particularly in steam power plants. Named after William John Macquorn Rankine, this cycle describes the conversion of heat into mechanical work through the use of a working fluid, typically water…

Introduction to 1D Supersonic Nozzle Flow Simulation: Supersonic nozzle flow simulation is a computational study aimed at understanding the complex behaviour of high speed compressible gas flow through a converging -diverging nozzle. This type of simulation is crucial in aerospace engineering,populsion systems, and fluid…

Genetic Algorithm A Genetic Algorithm is a search heuristic inspired by the process of natural selection and genetics. It is commonly used to find approximate solutions to optimization and search problems. The algorithm operates on a population of potential solutions, encoding them as individuals, and evolves the population…

2D Heat Conduction equation : The 2D heat conduction equation describes how temperature changes over time in a two-dimensional space. It is a partial differential equation that governs the distribution of heat within a material. The equation is derived from the principles of conservation of energy and Fourier's law of…

A mixing tee is a type of pipe fitting where two fluid streams come together to form a single stream. This geometric configuration is commonly encountered in industrial processes, such as chemical engineering applications, where different fluids need to be mixed. The efficiency of mixing is crucial in these scenarios,…

Conjugate Heat Transfer (CHT) analysis is employed in engineering simulations to understand and predict the coupled heat transfer mechanisms between solids and fluids. It is particularly useful in scenarios where heat conduction in solids and heat convection in fluids are interlinked. Common applications include: 1. Electronics…

1) Ahmed Body : The Ahmed body is a simplified geometric model of a car that is often used as a standard test case for studying the aerodynamics of bluff bodies. The Ahmed body is characterized by a specific shape, including a slanted rear end, and it serves as a benchmark for assessing the accuracy and reliability of…

Conjugate Heat Transfer refers to the simultaneous analysis of heat transfer in solids (conduction) and fluids (convection). When performing a CHT analysis on a graphics card, the objective is to understand and predict how heat is transferred within the graphics card structure and between the graphics card and its surroundings.…

Code with Explanation : 1. Simple_pendulum.m clear all close all clc % Define initial conditions and parameters l = 1;          % Length of the pendulum m = 0.1;        % Mass of the pendulum bob b = 0.05;       % Damping coefficient g = 9.81;   …

  1. Code With explanation:  clear all close all clc % Define initial conditions and link lengths x0 = 0; y0 = 0; l1 = 1; l2 = 0.5;   % Define joint angles for two links theta1 = linspace(0, 90, 5); theta2 = linspace(0, 90, 5);   % Initialize frame counter ct = 1;   % Loop through the first set…

  Rayleigh Taylor instability is the instability of an interface between two fluids of different densities which occurs when the lighter fluid is pushing the heavier fluid. Water suspended atop oil is an everyday example of Rayleigh–Taylor instability, and it may be modeled by two completely plane-parallel layers…

 Aim : To mesh the given model with the required target length and create a wind tunnel and mesh it. Procedure : 1) As the model is symmetrical, geometrical cleanup can be done on one part and other part can be mirrored   2) Delete the geometry which is not aligning with the current geometry and create new surfaces…

 Aim : To surface mesh the given model with target length 3mm Procedure : 1) Open the given model and clean the geometry by removing unnecessary parts and triple cons on exterior surface   2) Same to be done with other geometries 3) Remove all the Single cons by applying TOPO or deleting them. 4) Assemble the…

  Aim : To perform volumetric mesh on the 3d Model  Procedure :  1. To go for volumetric mesh first surface meshing has to be done for which surface meshing is prerequisite. 2. Checking the geometry and reviewing the PIDs.  3. Geometrical cleanup is required to go for surface meshing.  4. To eliminate…

Aim : To mesh the given model according to the quality criteria with no off elements. Procedure : 1) The geometrey is found to have multiple single cons, To solve this apply TOPO which will automatically adjust the geometry reducing the single cons. 2) The car has to be cut by using proj cut as it would be efficient for…

 Geometry cleanup of Pressure valve : Cleanup of the geometry using new surface where the red coons are eliminated by creating new surface  Cleanup is done by removing triple cons and then creating new surfaces in places of red cons  New surfaces are made by using new option in faces and then selecting coons…

   The three methods of approximation for an analytical function are as follows : Central difference: - Here the nodes selected are symmetrical i.e. the data is taken from both sides of point of focus. Using Taylor’s method, we get                      …

Finite Volume method (FVM) : In finite volume method , the fluid domain is divided into finite number of cells where each cell is having a control volume. The grid defines the boundary of the cell and the computational node lies at the centre of the cell FVM is used for solving complex geometry as it uses integral form…

Grading Factor = ( Size of End cell )/( Size of start cell) Case 1 : grading factor = 1, therefore size of end cell = size of start cell Case 2 : grading factor = 0.2, therefore size of end cell = 0.2*(size of start cell)