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隴博智能科技有限公司純電折彎機技術迎來突破
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發(fā)布時間：2025-06-30
2025年隴博智能科技有限公司純電折彎機技術迎來***突破，以伺服電機直驅為**，徹底替代傳統(tǒng)液壓系統(tǒng)，實現(xiàn)±0.01mm級超高重復定位精度，能耗*為液壓機的30%，***降低生產成本。在安全領域，折彎裝置通過升降件與滑動架的創(chuàng)新聯(lián)動設計，徹底規(guī)避了操作員壓傷后二次傷害風險，結合急停系統(tǒng)，工傷風險趨近于零。小五金鈑金加工場景中，隴博智能EP12-06機型憑借離線編程與自動對中技術，將換模時間壓縮至5分鐘，日產能突破3000件門鉸鏈，毛利率提升40%；南京隴博EP系列更實現(xiàn)-20℃極寒環(huán)境穩(wěn)定作業(yè)，并借助AI模具識別技術處理不銹鋼、鋁合金、銅板混合材質折彎，良品率達99.2%。航空航天等高精領域，多軸補償算法，完成飛機發(fā)動機葉片30°斜角折彎，廢品率從8%降至0.5%，同時滿足手術機器人框架無菌環(huán)境無油污要求。行業(yè)報告預測2026年小型純電設備在五金加工滲透率將超60%，中國企業(yè)的歐洲訂單因綠色節(jié)能優(yōu)勢激增300%。隨著智能化發(fā)展，設備自主學習優(yōu)化參數(shù)、預測性維護及大數(shù)據工藝分析功能，正推動制造業(yè)向綠色高效方向轉型。In 2025, Longbo Intelligent Technology Co., Ltd. will achieve a comprehensive breakthrough in its electric bending machine technology. Centered on direct drive by servo motors, it will completely replace the traditional hydraulic system and achieve an ultra-high repetitive positioning accuracy of ±0.01mm. The energy consumption will be only 30% of that of hydraulic machines, significantly reducing production costs. In the safety field, the bending device, through the innovative linkage design of the lifting part and the sliding frame, completely avoids the risk of secondary injury to operators after being injured during operation. Combined with the emergency stop system, the risk of work-related injuries approaches zero. In the small hardware sheet metal processing scenario, the Longbo Intelligent EP12-06 model, with offline programming and automatic centering technology, compresses the mold change time to 5 minutes, with daily production capacity exceeding 3,000 door hinges, and the gross profit margin increases by 40%. The Nanjing Longbo EP series can even operate stably in an extremely cold environment of -20℃, and uses AI mold recognition technology to handle the bending of stainless steel, aluminum alloy, and copper plate mixed materials, with a defect rate of 99.2%. In the aerospace and other high-precision fields, the multi-axis compensation algorithm completes the 30° inclined angle bending of aircraft engine blades, reducing the scrap rate from 8% to 0.5%, while meeting the sterile environment and no oil contamination requirements of the surgical robot frame. Industry reports predict that in 2026, the penetration rate of small electric equipment in hardware processing will exceed 60%, and the European orders of Chinese enterprises will increase by 300% due to the green and energy-saving advantages. With the development of intelligence, the equipment can autonomously learn to optimize parameters, conduct predictive maintenance, and perform big data process analysis, which is driving the manufacturing industry towards a green and efficient direction.
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