Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152266
Title: 3D model reconstruction of damaged parts in an automated remanufacturing process using additive manufacturing technology
Authors: Aprilia
Keywords: Engineering::Manufacturing::CAD/CAM systems
Engineering::Manufacturing::Metrology
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Aprilia (2021). 3D model reconstruction of damaged parts in an automated remanufacturing process using additive manufacturing technology. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/152266
Abstract: Automated remanufacturing process is of significant interest in many sectors of industry as current manual remanufacturing process is prone to human error, inconsistent in quality and costly to process. Current advancements in additive manufacturing and 3D scanning technology supports opportunities for realizing automated remanufacturing. However, to date, a fully automated remanufacturing process has not yet been achieved. Current limitations were identified to the absence of effective damage detection algorithm, nominal model reconstruction algorithm, and automated machine toolpath generation process. The existing shortfall in capabilities required time consuming human input in the assessment of damage(s) and in defining the appropriate remanufacturing toolpath profiles. For widespread acceptance of “automation of remanufacturing process”, all steps should be carried out automatically by software with no human interaction except for the final verification. Automated flow should be seamless with information obtained from scan data to the final machining processes. This thesis aims to work towards achieving a fully automated remanufacturing process by establishing and proposing an automated remanufacturing process framework exploiting current state-of-the-art technologies, such as directed energy deposition technology and automated 3D scanning technology. This framework was designed with the practical considerations where, the scan input obtained from the automated scanning process is in the form of partial scan data. The object’s nominal model is often unavailable or not suitable for use. There are also multiple damages located at different locations, and the need of generating machine toolpaths directly and automatically from the scan data and the reconstructed nominal shape. Various existing frameworks have tackled some of these considerations, however, a framework incorporating all considerations have not yet been proposed. Having all considerations, incorporated, would enable a fully automated remanufacturing process for single or multiple damages located at different locations. A nominal model reconstruction algorithm for multiple damages at different locations and a direct derivation methodology of the machine toolpath shapes from the scan data have been developed to support the realisation of this framework. A case study has been carried out and it has demonstrated the feasibility of using the proposed process framework, the developed algorithm and methodology for automated remanufacturing process. The scanning boundary of the partial scan data has been successfully detected and the edge damage type has been correctly identified. Consequently, the nominal shape of the damage region has been successfully reconstructed according to the identified damage type, and the cavity cutting shape dimensions have been successfully derived from the scan data.
URI: https://hdl.handle.net/10356/152266
DOI: 10.32657/10356/152266
Rights: This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Fulltext Permission: embargo_20220727
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

Files in This Item:
File Description SizeFormat 
PhD Thesis - Aprilia (G1600457E).pdf
  Until 2022-07-27
7.45 MBAdobe PDFUnder embargo until Jul 27, 2022

Page view(s)

225
Updated on Jan 20, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.