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像许多分支行业一样,塑料加工商承受着成本不断增加的压力,而与此同时,批量产量越来越少,批量变化越来越大更对工艺提出了越来越复杂的要求。SensoPart传感器可实现高度自动化的生产和质量保证,从而为确保竞争力做出了决定性的贡献。
在塑料领域中的多种应用方式:BlueLight反射光扫描仪可以像透明PET瓶一样可靠地检测出黑色的小部件;FT 25-C系列微型颜色传感器可根据颜色对振动输送机输送的塑料零件进行分类;VISOR®系列的图像处理视觉传感器可检测出制造缺陷,例如不完全填充的空间,毛刺,缺陷或缺少插入物。因为在加工注塑件时进行早期错误检测可以避免耗时的返工和产生昂贵的废品。
The following application examples show you the possible uses of our products in practice.
In modern production facilities, where traceability and quality control are essential, reading OCR and DMC codes on components plays a key role. These codes are used not only for identification, but also to ensure complete traceability of products and components throughout complex manufacturing processes. A reliable vision system must not only recognize OCR and DMC codes, but also compare them against each other.
In the production process for films, the films are transported from one station to the next using roller conveyor belts. Optical sensors are used to verify the presence of the films in order to initiate the next production step.
When manufacturing ball bearings, it is vital to know that the bearing has the full number of balls. The aim of the application is to inspect a ball bearing after assembly to ensure it is complete.
In car door seal production seals of various lengths must be handled with precision. To ensure correct placement, each seal is guided along a conveyor belt. During transport, the end of the seal must be detected so the conveyor can stop at the exact position for the next step. An optical sensor is required to identify the end of the seal in continuous operation and send a signal to the conveyor belt to stop at the correct position. Once the seal is correctly positioned, it can move on to the next production step.
机器人的任务是从一个灵活的送料平台上抓取工件。物体的位置可能会变化。视觉相机可以识别工件的准确位置并将其传送给机器人。
塑料加工中质量控制的必要性与日俱增。过度注塑/填充不足或毛刺等缺陷不仅会影响最终产品的外观和性能,还会因浪费或返工而增加成本。利用视觉相机进行部件检测,可以及早可靠地发现这些缺陷,确保产品质量。 实时显示检测结果、缺陷分类和部件编号可优化生产。
In the manufacturing process of transparent films transported on roller conveyor belts, it is crucial to use optical sensors to verify the presence of the films before initiating the next step in production.
在包装检测中,每个细节都至关重要——即使微小的偏差也可能导致客户投诉或造成不必要的浪费。耳塞包装的检测尤其如此,必须在封箱前确认每盒物品数量准确无误。传感器执行这项检测,确保每盒产品完整无缺地送达客户手中,从源头杜绝包装不合格的问题。
为确保下游装配正确,滚筒(例如来自滚轴或储物箱的滚筒)必须以正确方向进入振动输送机。若滚筒出现错位,传感器必须可靠检测并触发反向气流吹送,自动将滚筒送回料仓。
在线束生产中,新电缆通过胶带与现有电缆连接。在整个电缆制造过程中,这些连接点必须通过传感器持续进行检测。
在整个生产过程中,会产生大量的数据,这些数据必须被监控和检查。操作员必须能够方便地咨询、管理和评估这些数据,以确定和实施对工艺的任何必要修改。
质量在塑料加工中的重要性与日俱增。医疗技术和汽车等行业要求对产品进行 100% 的检测。包括过量/不足或毛刺在内的缺陷不仅会影响最终产品的美观性和功能性,还会因废料/废品或返工而导致成本增加。使用视觉相机检测工件可以及早可靠地发现这些缺陷,从而确保产品质量。
泄漏测试是电池组的最后生产步骤之一。所谓的吸枪必须被精确地引导到气体检查的特定位置。
移印被认为是印刷的主要方法之一。然而,在这种印刷过程中,可能会出现各种缺陷,包括沿印刷轮廓的油墨分布不均匀
在现代制造业中,对无缝工件可追溯性(跟踪和追溯)的需求不断增长。数据矩阵代码(DMC)已成为最可靠的识别和跟踪方法之一。我们的目标是扫描每个工件上的数据矩阵代码,确保精确的产品加工和完美的序列号管理。
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