Abstract

The monitoring of surface finishing processes in aerospace manufacturing industry becomes one of key issues to maintain the overall quality of product or part. To date, the surface quality monitoring post machining processes such as deburring, use visual inspection, surface roughness test or laser gap gun. The whole manufacturing process then requires a considerable amount of time as the production line must be halted due to these measurements taking place. This study presents an online monitoring system to measure the chamfer quality of replica boss hole post-deburring process. Vibration signal was measured during the deburring process and the features that correlate to the deburring stages (passes) were extracted. This paper focuses on the validation of actual vibration signal with the modal analysis of work coupon (replica boss hole) to obtain the correlation between the vibration amplitude level on particular region and the mode shape of work coupon during the deburring process.

Highlights

  • Deburring and finishing are the treatment processes for burrs, sharp edges, and rough surfaces removal. They can often be treated as the step-child of a manufacturing process, but its importance is growing as tolerances get tighter and precision devices become the norm [1]

  • This paper focuses on the validation of actual vibration signal with the modal analysis of work coupon to obtain the correlation between the vibration amplitude level on particular region and the mode shape of work coupon during the deburring process

  • 4.1 Vibration signal The vibration signals were acquired from the following procedure: The DAQ and ABB robot controller were synced to acquire the accelerometer and AE sensor data

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Summary

Introduction

Deburring and finishing are the treatment processes for burrs, sharp edges, and rough surfaces removal. As the automated detection of the machining process malfunctions is able to reduce the production costs and increase the quality of the machine parts, it has become a great interest among engineers and scientists. This use of process monitoring is aimed at eliminating surface anomalies by halting the production when manufacturing conditions indicate they are about to or have arisen.

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