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Computer Aided Design & Analysis
This course introduces students to the fundamentals and advanced techniques of computer-aided design (CAD) and analysis. It focuses on the geometric modeling of components, assemblies, and systems using modern CAD software. Emphasis is placed on the integration of Finite Element Analysis (FEA) tools for stress, thermal, and dynamic simulations to predict real-world behavior of mechanical parts and assemblies. Students will gain practical skills in 2D drafting, 3D modeling, meshing, and result interpretation, preparing them for design validation and optimization in engineering applications.
Course Chapters
Introduction
The role of computers in the design process is pivotal in enhancing productivity and accuracy in modern engineering practices. This chapter explores the significance of Computer-Aided Design (CAD), Computer-Aided Engineering (CAE), and Computer-Aided Manufacturing (CAM) in creating efficient workflows and improved product quality. Furthermore, it highlights popular CAD software and the functions of various input and output devices essential for design and manufacturing processes.
Transformations
Transformations in Computer Aided Design (CAD) involve the matrix representation of points, lines, and planes, as well as various geometric transformations in both 2D and 3D. These transformations include translation, scaling, rotation, and reflection, all of which are crucial for precise geometric modeling and simulation. Understanding the mathematics behind these transformations allows for effective design, analysis, and visualization in engineering applications.
Curves & Surfaces
Curves in CAD are crucial for defining complex shapes and forms, represented through various forms like explicit, implicit, and parametric. Key parametric curves include Hermite, Bézier, B-spline, and NURBS, which facilitate effective modeling. Surface modeling techniques extend these concepts into three dimensions, utilizing representations such as parametric surfaces, planar surfaces, and bicubic patches. Applications span product design, engineering, manufacturing, and animation, enhancing precision and creativity in various fields.
Solid Modelling
Solid modelling involves fundamental techniques essential in engineering, manufacturing, and medical applications. Various methods, including sweep techniques and Boolean operations, allow for the creation of complex geometries. The representation of models through Boundary Representation (B-rep) and Constructive Solid Geometry (CSG) reveal their respective strengths in flexibility and efficiency. The use of pixels and voxels in medical modelling enhances the development of precise anatomical representations, while CAD data exchange standards ensure effective interoperability across various platforms.
Engineering Analysis
The module provides an in-depth introduction to the Finite Element Method (FEM), a crucial computational tool for engineering analysis, covering its applications in structural and stress-strain problems. Key topics include the formulation of the stiffness equations, domain discretization, and the validation of models to ensure accuracy and applicability in real-world scenarios. It also highlights the importance of Computer-Aided Engineering (CAE) software in facilitating advanced simulations.
Introduction to CFD & HT
Computational Fluid Dynamics (CFD) leverages numerical methods and algorithms to analyze fluid flows and heat transfer, emphasizing the importance of conservation laws. The chapter covers the core steps in CFD analysis, including defining the physical domain, discretization, and post-processing, while also discussing various boundary conditions that ensure simulation accuracy. Numerous applications of CFD in diverse fields such as thermal machines, fluid machines, and environmental engineering are highlighted, illustrating its critical role in optimizing performance and safety across industries.
Design Optimization
Design optimization is a systematic process aimed at achieving the best design solutions by formulating objectives and constraints. It enhances performance, reduces costs, improves reliability and safety, and catalyzes faster development cycles. The chapter covers the integration of computer-aided design tools with optimization algorithms, emphasizing the significance of primary and subsidiary design equations and limit equations in achieving feasible solutions.