Agile Feeding

The first step in an automated operation is the feeding of parts. Simple, mechanical feeding methods still have their place, but most automation today must deal with more complexity: Many part styles Small lot sizes Several changeovers per shift No tolerance for long changeovers The solution is Agile Feeding. Agile Feeding uses a combination of...

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Assembly & Test

High speed assembly & test of complex products requires many different technologies.  With Kinemetrix’s Agile Automation, you get: Flexibility to assemble a variety of product versions on the same line Minimal changeover time In-process inspection of each assembly step

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Inspection & Testing

Built into an assembly machine or as a stand-alone solution, automated inspection & testing ensures adherence to your quality requirements. In-process inspections & tests verify an operation before material moves to the next step.  In a fully automated system, passing all of the in-process inspections provides the OK to ship. When a mixture of manual...

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Laser Welding

Kinemetrix laser welding solutions are configured as stand-alone machines or integrated into larger assembly systems.  Our Through Transmission Laser Welding (TTLW) systems are delivered fully tooled and process development is done in collaboration with our customers’ engineering staff.  The team ensures that the process meets specifications, including: Proper fusion & mechanical strength Leak tight requirements...

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Blank Handling with 3D Vision

Kinemetrix extends its Agile Automation philosophy to Robotic Blank Handling.  Through the use of 3D vision and a clever servo-adjustable gripper, we can deliver a fast and flexible system capable of running dozens of different blank sizes with zero changeover time. Key benefits of this system include: Anything-goes Pallet Handling accepts a wide variety of...

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Robotic Gravity Die Casting

Modern part designs are demanding better and better process control over the gravity die casting operation.  Precise die temperature control, exact shot sizes, and rapid model changeovers challenge the traditional methods.

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