Development of a Field-driven Computer Aided Design System for Design for Additive Manufacturing

No Thumbnail Available
File version
Author(s)
Ahn, Jaeseung
Doh, Jaehyeok
Park, Sang-in
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2022
Size
File type(s)
Location
License
Abstract

Design for additive manufacturing (DfAM) approach is a design method to utilize benefits from the implementation of additive manufacturing. In this approach, all design information in geometries, materials, and manufacturing processes domains are efficiently integrated. However, existing computer-aided design (CAD) systems cannot efficiently support DfAM activities because all design information including materials and manufacturing process conditions should be represented by only geometric information. The goal of this study is to develop a field-driven CAD system to support DfAM activities. To achieve the goal, shape modeling techniques based on implicit representations were implemented, and methods to create and utilize shape-material-process function fields for DfAM approaches were proposed. To validate the effectiveness of the proposed CAD system, DfAM activities including local shape modification, cellular structure generation, and AM process optimization were performed, and the results showed that the CAD system efficiently supported the DfAM approaches.

Journal Title
Transactions of the Korean Society of Mechanical Engineers A
Conference Title
Book Title
Edition
Volume
46
Issue
7
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Manufacturing engineering
Science & Technology
Technology
Engineering, Mechanical
Engineering
Design for Additive Manufacturing
Persistent link to this record
Citation
Ahn, J; Doh, J; Park, S-I, Development of a Field-driven Computer Aided Design System for Design for Additive Manufacturing, Transactions of the Korean Society of Mechanical Engineers A, 2022, 46 (7), pp. 645-654
Collections