About this Abstract |
Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
Symposium
|
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
Presentation Title |
Strategizing Scan Technique Selection for Component Remanufacturing Using 3D Printing: A Combined Reverse Engineering and TOPSIS Based Multi Criteria Decision Making Framework |
Author(s) |
Binoy Debnath, Zahra Pourfarash, Shivakumar Raman, Hamidreza Samadi |
On-Site Speaker (Planned) |
Binoy Debnath |
Abstract Scope |
Remanufacturing mechanical components via reverse engineering and 3D printing holds promising prospective for sustainable manufacturing by prolonging part lifecycles. However, choosing the right scanning method for reverse engineering is pivotal for ensuring remanufacturing accuracy, efficiency, and cost-effectiveness. This study's framework aims to aid decision-making on scanning method selection, considering criteria like manufacturing time, cost, and product quality. Initially, both contact-based (Coordinate Measuring Machine, CMM) and non-contact-based (Laser scanning) methods are employed to capture the component's geometry for CAD model development. Fused Deposition Modeling (FDM) 3D printing approach is then used to reproduce the part based on CAD models from each scanning method. Then, Step-wise Weight Assessment Ratio Analysis (SWARA) is applied to determine the best scanning technique the relative importance of criteria, allowing stakeholders to prioritize factors based on their needs. This structured approach enables strategic selection of the most suitable scanning technique for 3D printing mechanical component remanufacturing. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |