Gang sawing machines are subject to heavy wear and damage by foreign objects. As a result, misaligned guides and worn blade teeth can lead to mis-manufactured lumber. Implementing a Gocator Profile Sensor, with its built-in groove tool, for automatic lumber size monitoring provides quick detection of problems and helps avoid prolonged production of defective boards.
Missing screws in terminal strips affect the performance of the final product. Consumers, suppliers, and retailers have no tolerance for products with missing parts. With a Gocator 3D smart sensor set up to detect screws and verify tolerances, final inspection of terminal strips can be automated with defects triggering reject decisions.
Automating seam welding can be a difficult application to tackle. The integrity of the seam ultimately underscores the quality of the final product. Gocator 3D smart sensors can be set up to report to the welding controller, which will make it possible to use optimal welding parameters such as welding speed and arc voltage based on the actual measured seam gap. This results in high quality welds even if the mechanical tolerances of the work piece and its positioning are not perfect.
Companies that produce packaged food rely on defect-free packaging: defects can lead to mold and contamination, which can in turn lead to recalls, refunds, and other disastrous consequences for a company. Using a Gocator and its built-in tools helps get defective packaging out of the production line early on, protecting company brand and reducing unforeseen costs.
Engine components must be installed in a specific order and orientation during engine manufacture. A Gocator, combined with a machine vision tool such as HexSight, can identify marks that distinguish parts and their orientation so that engines can be assembled more quickly. With the Gocator’s high scan rate, the rapid pace of the automated manufacturing processes used by the automotive industry is maintained.