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陇博智能科技有限公司纯电折弯机技术迎来突破

来源: 发布时间:2025-06-30
2025年陇博智能科技有限公司纯电折弯机技术迎来***突破,以伺服电机直驱为**,彻底替代传统液压系统,实现±0.01mm级超高重复定位精度,能耗*为液压机的30%,***降低生产成本。在安全领域,折弯装置通过升降件与滑动架的创新联动设计,彻底规避了操作员压伤后二次伤害风险,结合急停系统,工伤风险趋近于零。小五金钣金加工场景中,陇博智能EP12-06机型凭借离线编程与自动对中技术,将换模时间压缩至5分钟,日产能突破3000件门铰链,毛利率提升40%;南京陇博EP系列更实现-20℃极寒环境稳定作业,并借助AI模具识别技术处理不锈钢、铝合金、铜板混合材质折弯,良品率达99.2%。航空航天等高精领域,多轴补偿算法,完成飞机发动机叶片30°斜角折弯,废品率从8%降至0.5%,同时满足手术机器人框架无菌环境无油污要求。行业报告预测2026年小型纯电设备在五金加工渗透率将超60%,中国企业的欧洲订单因绿色节能优势激增300%。随着智能化发展,设备自主学习优化参数、预测性维护及大数据工艺分析功能,正推动制造业向绿色高效方向转型。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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