Browsing by Advisor "Gurumoorthy, B"
Now showing items 1-20 of 31
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Acquiring diagnostic knowledge from documents to predict issues in aircraft assembly
Expert knowledge is important in a product's lifecycle, especially during the manufacturing part of the lifecycle. Most of such knowledge is obtained through experience and its reuse can help prevent potential issues in ... -
Construction of 3D CAD Models From 2D Orthographic Views
(2011-01-19)This thesis addresses the problem of constructing 3D CAD models from 2D engineering drawings of the object. Procedures for each step in the popular bottom-up approach are described. In each of the steps in this approach, ... -
Dynamically isotropic Gough-Stewart platform for micro-vibration isolation in spacecraft
Rotating components such as reaction wheels and momentum wheels on spacecraft generate micro-vibrations up to 250 Hz during on-orbit operations. While the use of Gough-Stewart Platforms (GSPs) for six degrees of freedom ... -
Feature-based Approach for Semantic Interoperability of Shape Models
(2018-02-20)Semantic interoperability (SI) of a product model refers to automatic exchange of meaning associated with the product data, among applications/domains throughout the product development cycle. In the product development ... -
Geometric Reasoning with Mesh-based Shape Representation in Product Development
(2017-10-09)Triangle meshes have become an increasingly popular shape representation. Given the ease of standardization it allows and the proliferation of devices (scanners, range images ) that capture and output shape information as ... -
Heterogeneous Object Modelling : Representation, Construction and Process Planning
(2018-06-26)Heterogeneous Objects are engineered with multiple materials to achieve multiple functionalities like high hardness, high toughness and low structural weight. Heterogeneous objects are increasingly used to achieve multiple ... -
Information Extraction and Mapping for Populating Ontologies in Product Lifecycle Management
Computer-based tools used to manage a product's lifecycle from the cradle to the grave need to share product information across phases. If this information is well structured, accessing, and manipulating such information ... -
Integrating Product Model With Assembly Process Model Using Liaisons
(2014-04-09)This thesis addresses the problem of achieving better convergence between different phases (here design and manufacturing) of the product development cycle. The use of liaison has been proposed to better integrate the ... -
Inverse design of porous structures using deep learning methods for targeted physical properties
Porous structures have garnered significant attention in various fields of mechanical engineering due to their unique properties and wide range of applications, particularly in thermal, fluid, and structural domains. ... -
Inverse Material Design using Deep Convolutional Neural Networks and Ontology
Materials design is the process of tailoring materials with specific properties and performance characteristics to meet the particular needs of an application. It involves going back on the process-structure-property (PSP) ... -
Lay Tracks : New approach to automated quadrilateral mesh generation using MAT
This thesis describes Lay Tracks, a new mesh generation algorithm to automatically generate an all quad mesh using the medial axis transform (MAT). LayTracks combines the merits of two popular direct techniques for quad ... -
Modelling Cable-driven Continuum Robots and their applications
Flexible robots have been gaining traction in real-world applications over their rigid counterparts for their favourable features such as flexibility, compliance, better manoeuvrability, lightweight construction and ability ... -
Modelling spatial and non-spatial conflicts across multiple design domains
This thesis aims to detect spatial and non-spatial conflicts in product design arising out of requirements in different design domains. Handling such conflicts requires modelling the non-geometric knowledge outside the ... -
Predictive modelling of key performance indicators for a data-driven digital twin of CNC machining processes
This thesis introduces a novel Digital Twin architecture for modelling CNC machining processes for better decision-making by predicting key performance indicators (KPIs) with data-driven modelling. The proposed data-driven ...