2022 Fiscal Year Final Research Report
Intelligent polishing technology by using low rigidity robot and magnetism for metal additive manufactured mold
Project/Area Number |
20K14624
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 18020:Manufacturing and production engineering-related
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Research Institution | Chubu University (2022) Gifu University (2020-2021) |
Principal Investigator |
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Keywords | 磁気研磨 / 金属積層造形 / ロボット研磨 / 表面粗さ推定 / 機械学習 / 画像解析 / サポートベクターマシン |
Outline of Final Research Achievements |
The research was conducted to automate the finish polishing of molds produced by a hybrid metal 3D printer. The polishing method used was magnetic polishing, in which an end-mill type permanent magnet tool adsorbs a magnetic abrasive, and the tool rotates and revolves along the mold shape. First, a robot grinder was constructed by equipping a low-rigidity articulated robot with a spindle for tool grasping. Next, a surface roughness estimation method using image analysis and machine learning was developed to determine whether polishing is excessive or insufficient at any given position on the surface. Finally, we optimized the composition of the magnetic abrasive for highly efficient polishing of metal AM maraging steel. We hope the above results will contribute to the automation of metal 3D printing mold manufacturing.
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Free Research Field |
精密加工
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Academic Significance and Societal Importance of the Research Achievements |
本研究の開発成果は,金属3Dプリント製マルエージング鋼に対して,常に最適な磁気研磨条件で造形物の鏡面仕上げを行う自動研磨システムである.3Dプリント製品を研磨した例は少数あるが,技能者への依存度が高いプロセスレベルでの適用である,形状精度の維持が困難など,自動化に対する課題があった.特に日本の基幹産業である金型製造の自動化に取り組んだ例は存在していなかった.本研究課題では,ボールエンドミル型磁石工具を用いるため,複雑形状に対応できること,研磨面の表面状態をインプロセスで推定することができるなど,金型製造の高付加価値化に寄与する.また,低剛性ロボットの使用も低コスト化に貢献する.
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