饲喂技术 | [站点：名称]

自动化项目的成功与否取决于管理和移动组件的能力。顾名思义，送料系统负责组件的批量存储、正确定位和运送，以便进行装配和测试。BBS Automation 的送料系统在处理部件的方法上提供了卓越的技术。

BS 送料系统也可作为独立设备出售，用于您的其他应用。

在装配线上，在规定的循环时间内对单个部件进行正确的分拣、送料和展示是保证工艺稳定性的基础。

我们从单一来源提供分拣产品的展示和循环分离之间的优化流程、作为我们设备概念一部分的经济型喂料机解决方案以及交钥匙系统的接口安全。

另一个好处是：高速生产系统可充分发挥其循环时间潜力。

我们开发了各种分拣和喂料机解决方案。

因此，BBS 给料机系统可以灵活、精确地满足您生产系统的各种要求。

喂料系统

碗
杂志
托盘
套管
多卷带
卷带
O形环
离心式

柔性喂料
DynaSlide
平板喂料
碗喂料
弹簧喂料
台阶喂料
鼓喂料
网络喂料

Reliable Linear Feeding Technology

High-quality feeding technology has always played a crucial role in maximizing the performance of modern assembly lines. Stable and efficient line operation is only guaranteed if the individual parts to be assembled are delivered reliably and in the correct orientation to the assembly point. This is particularly true for our high-volume lines, which produce several hundred devices per minute. We meet these increasing demands with state-of-the-art feeding solutions that increasingly rely on multi-lane linear concepts. In this setup, the spiral conveyor primarily handles pre-separation and transfers the parts to linear, parallel feeding rails. The actual reproducible sorting takes place on these rails-performed identically on every lane and fully documented in the design. This standardised approach significantly reduces the amount of manual adjustment and largely eliminates the need for costly duplication of additional, space-intensive spiral conveyors.

Ergonomic, Safe and Efficient Feeding Solutions

Ergonomic and health-conscious working conditions are becoming increasingly important. We address this need with well-designed feeding concepts that enable ergonomic and safe loading of sorted materials. In doing so, we consider both the optimal working height and the most gentle, material-appropriate feeding of components. The result is solutions that are not only efficient, but also sustainable and user-friendly.

Faster, Safer Designs with AI-Powered Feeding Simulations

Whereas in the past a significant amount of manual design and fine-tuning was required, today—where appropriate—we use modern simulation methods supported by AI. This allows us to virtually analyze and optimize the sorting behavior of complex components in advance. This significantly reduces both development effort and project risks and leads to more robust solutions that are available more quickly.