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Like many other sectors, the plastics processing industry is under growing cost pressure, while the trend for more frequent batch changes with smaller quantities is causing increasingly complex process cycles. SensoPart sensors enable widespread automation of production and quality assurance processes, and help sharpen a company’s competitive edge.
Applications in the plastics sector are diverse: BlueLight photoelectric proximity sensors reliably detect small black parts, such as transparent PET bottles; miniature color sensors from the FT 25-C series sort plastic parts on vibrating conveyors by color; and image-processing vision sensors from the VISOR® series identify manufacturing defects, such as short-filled moulds, burrs, color streaks, surface defects or faulty insert moulding. Early error detection during the manufacturing of injection moulded parts avoids complex reworking and costly rejects.
The following application examples show you the possible uses of our products in practice.
In many manufacturing processes in different sectors, such as in the packaging industry, transparent pouches or bags must be reliably detected with the help of a sensor.
The detection of trays on conveyor belts is an important task in many industrial processes. It is important that the trays are recognized quickly and reliably with the help of a sensor in order to control further processing. The trays can be different colors and transparent
In modern manufacturing, the need for seamless component traceability (Track-and-Trace) continues to grow. Data Matrix Codes (DMCs) have emerged as one of the most reliable methods for identification and traceability. The goal is to scan the Data Matrix Code on each component, guaranteeing precise product processing and flawless serial number management.
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.
Pad printing is considered one of the main methods for printing on parts. However, during this printing process, various defects can occur...
The importance of quality assurance in plastic processing is continually increasing. Industries such as medical technology and the automotive sector require 100% product inspection. Defects including over/underfills or burrs not only affect the aesthetics and functionality of the end products but can also lead to increased costs due to waste/scrap or rework. Inspecting parts using a vision sensor allows for the early and reliable detection of these defects, ensuring product quality.
A robot is tasked with picking components from a flexible feeding platform. The position of the objects may vary. A vision sensor can identify and relay the exact position of the part to the robot.
The necessity of quality control in plastics processing is increasing. Defects like overmolding/underfilling or burrs not only impact the appearance and performance of end products but can also escalate costs due to waste or rework. Utilizing a vision sensor for part inspection enables early and dependable detection of such flaws, ensuring product quality. Displaying inspection results, defect classifications, and part numbers in real time optimizes production.
Throughout the production process, a large quantity of data is generated that has to be monitored and checked. The operator must be able to consult, manage and evaluate this data easily in order to identify and implement any necessary modifications to the process.
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