MODELING OF ABRASIVE WATER-JET CUTTING OF GLASS USING ARTIFICIAL NEURAL NETWORK AND OPTIMIZATION OF SURFACE ROUGHNESS USING FIREFLY ALGORITHM

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AMIRABADI H.; KHALILI K.; FOORGINEJAD A.; ASHOORI J.

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Journal: Modares Mechanical Engineering Year:2013 | Volume:13 | Issue:8 Page(s): 123-134

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Title

MODELING OF ABRASIVE WATER-JET CUTTING OF GLASS USING ARTIFICIAL NEURAL NETWORK AND OPTIMIZATION OF SURFACE ROUGHNESS USING FIREFLY ALGORITHM

Author(s)

AMIRABADI H. | KHALILI K. | FOORGINEJAD A. | ASHOORI J. | Issue Writer Certificate

Keywords

MODELINGQ2

ABRASIVE WATER JET CUTTINGQ2

OPTIMIZATIONQ2

NEURAL NETWORKQ2

FIREFLY ALGORITHMQ2

Abstract

In this paper, it is shown how to use the recently developed FIREFLY ALGORITHM to optimize abrasive water-jet cutting as a nonlinear multi-parameter process. Back propagation NEURAL NETWORK were developed to predict surface roughness in abrasive water-jet cutting (AWJ) process. In the development of predictive models, machining parameters of traverse speed, water-jet pressure, standoff distance and abrasive flow rate were considered as model variables. FIREFLY ALGORITHM by using back propagation NEURAL NETWORK optimizes glass surface roughness in abrasive water-jet cutting and proposes appropriate parameters for minimum surface roughness. Testing results demonstrate that the model is suitable for predicting the response parameters. The results showed this algorithm applicable for processes with complex nature.

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APA: Copy

AMIRABADI, H., KHALILI, K., FOORGINEJAD, A., & ASHOORI, J.. (2013). MODELING OF ABRASIVE WATER-JET CUTTING OF GLASS USING ARTIFICIAL NEURAL NETWORK AND OPTIMIZATION OF SURFACE ROUGHNESS USING FIREFLY ALGORITHM. MODARES MECHANICAL ENGINEERING, 13(8), 123-134. SID. https://sid.ir/paper/178616/en

Vancouver: Copy

AMIRABADI H., KHALILI K., FOORGINEJAD A., ASHOORI J.. MODELING OF ABRASIVE WATER-JET CUTTING OF GLASS USING ARTIFICIAL NEURAL NETWORK AND OPTIMIZATION OF SURFACE ROUGHNESS USING FIREFLY ALGORITHM. MODARES MECHANICAL ENGINEERING[Internet]. 2013;13(8):123-134. Available from: https://sid.ir/paper/178616/en

IEEE: Copy

H. AMIRABADI, K. KHALILI, A. FOORGINEJAD, and J. ASHOORI, “MODELING OF ABRASIVE WATER-JET CUTTING OF GLASS USING ARTIFICIAL NEURAL NETWORK AND OPTIMIZATION OF SURFACE ROUGHNESS USING FIREFLY ALGORITHM,” MODARES MECHANICAL ENGINEERING, vol. 13, no. 8, pp. 123–134, 2013, [Online]. Available: https://sid.ir/paper/178616/en

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