Process analysis and monitoring in abrasive water jet machining of alumina ceramics

Gi Sang Choi; Gi Heung Choi

doi:10.1016/s0890-6955(96)00049-1

Process analysis and monitoring in abrasive water jet machining of alumina ceramics

Gi Sang Choi, Gi Heung Choi

School of Electrical and Computer Engineering

Hansung University

Research output: Contribution to journal › Article › peer-review

44 Scopus citations

Abstract

This paper first attempts to develop an analytical model for material removal in abrasive water jet machining (AWJM) of brittle material. The size of fracture that takes place on the backside of the workpiece as the jet passes through the workpiece is then predicted. The proposed model is experimentally evaluated. In addition, acoustic emission (AE) generated from AWJM of alumina ceramics is evaluated in view of establishing an experimental relationship with the parameters of material removal process. The experimental results indicate that a strong correlation between the RMS AE signal and the characteristics of AWJM exists and, therefore, suggest that AE can be implemented in practice for monitoring purpose.

Original language	English
Pages (from-to)	295-307
Number of pages	13
Journal	International Journal of Machine Tools and Manufacture
Volume	37
Issue number	3
DOIs	https://doi.org/10.1016/s0890-6955(96)00049-1
State	Published - Mar 1997

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abstract = "This paper first attempts to develop an analytical model for material removal in abrasive water jet machining (AWJM) of brittle material. The size of fracture that takes place on the backside of the workpiece as the jet passes through the workpiece is then predicted. The proposed model is experimentally evaluated. In addition, acoustic emission (AE) generated from AWJM of alumina ceramics is evaluated in view of establishing an experimental relationship with the parameters of material removal process. The experimental results indicate that a strong correlation between the RMS AE signal and the characteristics of AWJM exists and, therefore, suggest that AE can be implemented in practice for monitoring purpose.",

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AB - This paper first attempts to develop an analytical model for material removal in abrasive water jet machining (AWJM) of brittle material. The size of fracture that takes place on the backside of the workpiece as the jet passes through the workpiece is then predicted. The proposed model is experimentally evaluated. In addition, acoustic emission (AE) generated from AWJM of alumina ceramics is evaluated in view of establishing an experimental relationship with the parameters of material removal process. The experimental results indicate that a strong correlation between the RMS AE signal and the characteristics of AWJM exists and, therefore, suggest that AE can be implemented in practice for monitoring purpose.

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Process analysis and monitoring in abrasive water jet machining of alumina ceramics

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