EXPERIMENTAL INVESTIGATION OF HIGH PRESSURE HYBRID JET ASSISTED TURNING AND PROCESS OPTIMIZATION BY GENETIC ALGORITHM AND NEURAL NETWORK

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MIRMOHAMMADSADEGHI EHSAN; AMIRABADI HOSEIN

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Journal: Modares Mechanical Engineering Year:2015 | Volume:15 | Issue:13 (SUPPLEMENT) Page(s): 64-67

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Title

EXPERIMENTAL INVESTIGATION OF HIGH PRESSURE HYBRID JET ASSISTED TURNING AND PROCESS OPTIMIZATION BY GENETIC ALGORITHM AND NEURAL NETWORK

Author(s)

MIRMOHAMMADSADEGHI EHSAN | AMIRABADI HOSEIN | Issue Writer Certificate

Keywords

JET OF FLUIDQ2

GENETIC ALGORITHMQ2

HYBRID MACHININGQ2

NEURAL NETWORKQ1

PREDICTIVE MODELQ2

Abstract

High pressure hybrid jet assisted machining is an efficient method to improve the machining conditions. The significant advantage of this method is concentration of high pressure fluid on machining zone and reduction in tool-chip interface. In this research, a collection of pumps and water jet pump was used in order to supply a high pressure jet. A specific tool holder was designed and manufactured. Experiments were designed to investigate the process parameters such as jet pressure, cutting speed, feed rate and depth of cut. During the experiments, the cutting forces and surface roughness were measured. Results showed the existence of the optimum conditions of the minimum cutting force and surface roughness in hybrid jet assisted machining. Thus, the optimization of process parameters is necessary in order to use HYBRID MACHINING more efficiently. A NEURAL NETWORK with suitable topology was utilized which was trained by GENETIC ALGORITHM to obtain the PREDICTIVE MODEL. Ultimately, GENETIC ALGORITHM was applied to optimize process parameters. Results showed the ability of employed algorithm to predict the optimum parameters with considerable accuracy.

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APA: Copy

MIRMOHAMMADSADEGHI, EHSAN, & AMIRABADI, HOSEIN. (2015). EXPERIMENTAL INVESTIGATION OF HIGH PRESSURE HYBRID JET ASSISTED TURNING AND PROCESS OPTIMIZATION BY GENETIC ALGORITHM AND NEURAL NETWORK. MODARES MECHANICAL ENGINEERING, 15(13 (SUPPLEMENT)), 64-67. SID. https://sid.ir/paper/177898/en

Vancouver: Copy

MIRMOHAMMADSADEGHI EHSAN, AMIRABADI HOSEIN. EXPERIMENTAL INVESTIGATION OF HIGH PRESSURE HYBRID JET ASSISTED TURNING AND PROCESS OPTIMIZATION BY GENETIC ALGORITHM AND NEURAL NETWORK. MODARES MECHANICAL ENGINEERING[Internet]. 2015;15(13 (SUPPLEMENT)):64-67. Available from: https://sid.ir/paper/177898/en

IEEE: Copy

EHSAN MIRMOHAMMADSADEGHI, and HOSEIN AMIRABADI, “EXPERIMENTAL INVESTIGATION OF HIGH PRESSURE HYBRID JET ASSISTED TURNING AND PROCESS OPTIMIZATION BY GENETIC ALGORITHM AND NEURAL NETWORK,” MODARES MECHANICAL ENGINEERING, vol. 15, no. 13 (SUPPLEMENT), pp. 64–67, 2015, [Online]. Available: https://sid.ir/paper/177898/en

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