Cmm Inspection Services Allow For Inspection Of First-run Products, Reverse Engineering, And Inspect

Coordinate Measuring Machines are the devices of choice for quality control

, inspection and reverse engineering of products. By automating those processes, there is a substantial savings in manpower and an inherent reduction in turnaround time for those items. High reliability, high precision and close tolerance work all depend on them.

Through the accurate and precise input of all dimensions of a unit under test, quality control and inspection process times can be shortened tremendously.

Batch sample, receiving, and initial production run inspections all benefit from this process. Quality control inspections can be performed right on the floor, right where the equipment is produced, and adjustments to the manufacturing process can be made quickly, keeping your production on-track. Likewise, reverse engineering of components is a breeze, enabling existing components to become CAD objects quickly, allowing engineers to further modify or to send them to a machine shop for duplication. Once the product has been developed, inspected and delivered, the need for inspection by CMM does not stop there.

CMM Inspection is a method of performing inspection of parts to check for signs of wear, distortion, or fatigue. By comparing measurements to your specifications, CMM Inspection systems can be employed to measure these parameters, or to provide a GO/NO-GO indication directly to your technicians. Inputting these dimensions into your CAD/CAM system will allow for graphical comparisons of wear and distortion over time. By storing and analyzing this data, you can quickly discover trends that will save you and your customer time, money and increase your bottom line.

Aerospace, defense, manufacturing, scientific, and countless other industries use CMM inspection techniques to save time and eliminate guesswork from the inspection process. Taking the propensity for errors out of the inspection process ensures reliable and consistent data perfect for process improvement and trend analysis.

by: David Frost

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