Applied Research of Image Tracking Robot Assisting 3D Printing on Curved Layer Surface Model

• Main Authors: Lai, Jian-Mu, 賴建穆
• Other Authors: Cheng, Pi-Ying
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/vj9454

碩士 === 國立交通大學 === 機械工程系所 === 107 === 3D printing technology is a very representative and innovative invention in recent years. It can assist in manufacturing real models with high flexibility, easy modification. However, a plenty of product design and manufacture are limited by dealing with support part. This study was intended to construct a system for the printing of suspended models without support materials. The research process is divided into two stages. In the first stage, the off-line mode is used to conclude where the plastic filaments need to be supported and the maximum support interval after studying the physical properties of plastic filaments with which a suspended surface model is printed. The second stage is the on-line mode, which studies and implements the printing system of 3D curved surface structure modeling, and establishes an image tracking and robotic arm control system with machine vision as the core. After setting up the characteristic points of image recognition on the nozzle module of the 3D printing machine, the camera captures the images of the characteristic point during the printing process, performs image processing and identification, and maps the support position of the plastic wire, and controls the robotic arm to the support position for support. The research results replace the traditional method of printing support material, and realize a three-dimensional model of a curved surface suspended without relying on the support material and without replacing the material.