Overview

Sensor solutions for the plastic and rubber industry
Trends & news

Quality control: Vision sensors prevent faulty production in injection molding machines
ARBURG is a global leader in the manufacture of high-quality injection molding machines. The company was looking for a solution that would detect incorrectly positioned inserts at an early stage and therefore prevent the production of defective parts for a machine with a vertically arranged clamping and injection unit.
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When machines can monitor themselves
Consistent quality, very few rejects, reliable part and batch tracking, added transparency: The use of vision sensors for quality control directly in the production process offers a number of benefits. Depending on the task at hand, you need to have the right vision solutions, which allow for quick and efficient integration into your machine.
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Challenges

Safety
Safe machines ensure high productivity. SICK offers the widest portfolio of safety solutions: marked by a high degree of integration in its controls and accompanied by an extensive range of services that includes consulting, commissioning, training and additional education.

Quality control
SICK offers the appropriate solution for all quality control applications: fiber-optic sensors to check that components are present in injection molding machines, displacement sensors for precise measurement of extruded profiles, vision sensors for in-line quality control and identify smart camera systems for high-end testing. This ensures that the high quality level demanded is achieved.

Track and trace
Marking with bar codes and Data Matrix codes is standard, but the properties of the products and material-handling environment mean that identification puts high requirements on code reading. SICK offers ideal industrial reading systems for the rubber and plastics industry, with easy integration, high durability and superior read rates, as well as the ability to get operations back up quickly in the event of a failure.

Flexible automation
Mass products that are produced in type-related large series require a high degree of automation in production. In addition, the wide variety of models keeps increasing, and thus the requirement for short changeover times, easy operation and minimal downtimes. Modern, intelligent sensors from SICK are able to store settings and feature automated teach-in and diagnostic capabilities, making a significant contribution towards meeting these challenges.