工業技術研究院

技術簡介

金屬加工產業如研磨、拋光、去毛邊，大量仰賴人力研磨拋光，但現場作業環境噪音粉塵嚴重，面臨缺工問題，加上世代斷層年輕人不願意加入勞力密集產業，因此研磨經驗傳承困難，導致品質穩定度不佳。若導入機器人教導費時，工件換線時間冗長，需費大量時間調整路徑與製程參數，新工件耗時7-14個工作日，加上客戶生產模式的改變，造成頻繁換線生產現象，工件外型複雜，使得彈性製造無法實現

Abstract

Industrial robots play potential and important roles on labor-intensive and high-risk jobs. For example, typical industrial robots have been used in grinding process. However, the automatic grinding process by robots is a complex process because it still relies on skillful engineers to adaptively adjust several key parameters. Moreover, it might take a lot of time and effort to yield better grinding quality. Hence, this paper proposed a new framework of cyber-physical robot system with automatic zero-tuning optimization of the process parameters to achieve the desired quality. To overcome the unexpected difference between reality and simulation, proper system calibration can help in precise positioning in real environment, and the cloud database is constructed to record the relative data during the grinding process simultaneously. The proposed zero-tuning methodology combines both neural network (NN) model and genetic algorithm (GA) to generate the best combination of corresponding parameters to meet the desired quality. Experimental results showed that the average error of the output result was 8.93％. To compare the CNC machine, our solution shows more prominent role and potential in plumbing industry.

技術規格

1.回饋即時修正加工路徑 ，導入時間4.9秒 2.整體控制產品不良率6.7％內，改善製程品質穏定性

Technical Specification

1. Feedback to correct the processing path in real time, the import time is 4.9 seconds 2. The overall control product defect rate is within 6.7％, and the quality of the process is improved.

技術特色

導入數位孿生與AI學習快速適應調機技術，回饋修正加工路徑，導入時間4.9秒，參數學習估測準確度91.07％

應用範圍

金屬加工製造/水五金產業、手工具產業、廚具產業

接受技術者具備基礎建議（設備）

1.軟體：EzSim機器人模擬軟體、SmartVision機器人視覺軟體、Zero Tuning軟體 2.硬體：手臂荷重：50kg；手臂重現性：±0.07mm、視覺感測系統(Laser, 3D vision)、周邊機台(如研磨機、拋光機等)

接受技術者具備基礎建議（專業）

具加工技術背景

聯絡資訊