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Developing a Part Finishing and Inspection System Using NI Smart Cameras and LabVIEW

"By using NI hardware and software, we seamlessly combined the material removal and inspection solution using the framework for previously developed solutions."
- Michael Muldoon, AV&R Vision & Robotics

The Challenge

Automating the deburring and final inspection of turbine airfoils for aircraft engines.

The Solution

Building a robotics cell based on NI LabVIEW to precisely deburr and shape the turbine airfoils for quality inspection with an NI 1722 Smart Camera.


To automate the deburring and inspection process for turbine airfoils for aircraft engines, AV&R Vision & Robotics designed a system that uses a six-axis robot to manipulate the airfoil to combine two critical operations. First, we debur the airfoil using tooling chosen specifically to deburr the dovetail of the part and create a radius on each edge. Then a vision system designed for surface inspection examines the part and records the data based on the part serial number, which is also read using the vision system.

We originally developed the system for a large OEM aircraft-engine manufacturer based on a lean manufacturing work flow. The operator loads the airfoil into the work cell after the grinding operation. In addition, we designed the system to be programmable so we can easily adapt it for many other deburr and inspection applications including consumer goods such as wrenches, medical device implants, surgical tools, automotive components, and a variety of other aerospace engine components.

Automating the Deburring and Inspection Process

In the past, operators inspected and deburred different complex and high-precision turbine airfoils using deburring tools to finish the parts and then manually inspect the airfoils to ensure the parts were within specified tolerance. We developed a cell that can automatically perform these two processes, ensuring every part leaves the cell with the desired quality.

After loading the part into the cell, the system initializes and a robot picks the part from the fixture and presents it to a deburring station that removes all of the burrs from the root of each airfoil, breaks each edge, and creates a radius on specific edges as per the drawing specifications.

After the deburring process, the robot presents the airfoil to an NI 1722 Smart Camera for inspection to look for random surface defects such as nicks, dents, scratches, and tooling marks on the critical surfaces. The defects are classified according to their shape using the particle analysis tools in the NI Vision Development Module. In addition, the vision system reads the serial number using NI optical character recognition (OCR) algorithms. After inspection, properly deburred parts are placed on the output of the cell and moved to the next production stage.

We used two NI products in the finishing and inspection cell. For the vision system and the surface inspection, we chose the NI 1722 Smart Camera because of its industrial design and flexibility. We also used LabVIEW to implement the inspection sequences and for the user interface. Developing the human machine interface (HMI) in LabVIEW allows the operator to quickly see the status of the system, the part under inspection, and the statistics of each part as it is processed. The operator can view each of the parts presented to the vision system, a pass/fail counter that highlights the number and status of the parts processed, and the results of each inspection process on the HMI.

We have used LabVIEW in similar inspection systems in which we built the code for a PC-based system. All of the code previously used for the PC was easily transferred to the NI Smart Camera, which allowed us to take advantage of the common platform.

Successful Development of a Part Finishing and Inspection System

By using NI hardware and software, we seamlessly combined the material removal and inspection solution using the framework for previously developed solutions.

Author Information:
Michael Muldoon
AV&R Vision & Robotics
michael.muldoon@avr-vr.com