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

The metal processing industry (such as grinding, polishing, and deburring) heavily relies on manual grinding and polishing, but the on-site working environment is plagued by severe noise and dust issues. Additionally, the industry faces a shortage of labor, compounded by the fact that the younger generation is unwilling to join labor-intensive industries. This difficulty in passing down grinding experience leads to poor stability in product quality. Introducing robots for training is time-consuming, and the changeover time for workpieces is lengthy, requiring significant time for adjusting paths and process parameters. The production of new workpieces takes 7 to 14 working days, and with changes in customer production patterns, frequent changeovers occur. The complex shapes of workpieces make achieving flexible manufacturing unattainable.

技術規格

回饋即時修正加工路徑，導入時間0.85 秒 整體控制產品不良率1％，改善製程品質穏定性

Technical Specification

Real-time correction of processing paths with feedback, introduction time: 0.85 seconds. Overall control of product defect rate is 1％, improving process quality stability.

技術特色

建立人機協作加工技藝模仿技術，精準控制產品不良率在1％內，人機協作安全路徑規劃技術，透過幾何限制空間計算，進行路徑最佳安全加工方式，回饋優化花費時間0.85秒

應用範圍

改善工件變異之瓶頸

接受技術者具備基礎建議（設備）

軟體：EzSim機器人模擬軟體、SmartVision機器人視覺軟體、Zero Tuning軟體 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