Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis

Serap Tanrıverdi; Levent Aydın

Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis

Abstract

This study aims to develop a design procedure for optimizing the abrasive water jet machining (AWJM) process in green composites. Multiple non-linear neuro-regression analysis has been performed methodically to overcome insufficient approaches to modeling-design-optimizing green composites in AWJM. First, the model generation process is carried out according to three criteria: linearity, order, and functions used in the model. Next, R^2_training, R^2_testing, and R^2_validation values have been checked for the validity of the models. Then, the machining parameters have been optimized by applying a numerical non-linear global optimization algorithm, Simulated Annealing. Pressure within the pumping system (PwPS), stand-off distance (SoD), and nozzle speed (NS) are design variables; surface roughness (Ra) and process time (PT) are objective functions of introduced mathematical optimization problems. The numerical result shows that the optimum process parameters obtained are PwPS (150 MPa), SoD (3.5 mm), and NS (125 mm/min). This novel optimization approach is also feasible for another modeling design optimization problem. The proposed design can be used as a systematic framework for parameter optimization in environmentally conscious manufacturing processes.

Keywords

References

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Details

Primary Language

English

Subjects

Artificial Intelligence

Journal Section

Research Article

Authors

Serap Tanrıverdi This is me
Türkiye

Levent Aydın ^* This is me
Türkiye

Publication Date

August 30, 2021

Submission Date

July 24, 2021

Acceptance Date

August 25, 2021

Published in Issue

Year 2021 Volume: 1 Number: 1

IZ

https://izlik.org/JA67EW53DU

Cite

RIS / Bibtex

APA

Tanrıverdi, S., & Aydın, L. (2021). Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis. Journal of Artificial Intelligence and Data Science, 1(1), 71-79. https://izlik.org/JA67EW53DU

AMA

1.Tanrıverdi S, Aydın L. Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis. Journal of Artificial Intelligence and Data Science. 2021;1(1):71-79. https://izlik.org/JA67EW53DU

Chicago

Tanrıverdi, Serap, and Levent Aydın. 2021. “Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis”. Journal of Artificial Intelligence and Data Science 1 (1): 71-79. https://izlik.org/JA67EW53DU.

EndNote

Tanrıverdi S, Aydın L (August 1, 2021) Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis. Journal of Artificial Intelligence and Data Science 1 1 71–79.

IEEE

[1]S. Tanrıverdi and L. Aydın, “Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis”, Journal of Artificial Intelligence and Data Science, vol. 1, no. 1, pp. 71–79, Aug. 2021, [Online]. Available: https://izlik.org/JA67EW53DU

ISNAD

Tanrıverdi, Serap - Aydın, Levent. “Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis”. Journal of Artificial Intelligence and Data Science 1/1 (August 1, 2021): 71-79. https://izlik.org/JA67EW53DU.

JAMA

1.Tanrıverdi S, Aydın L. Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis. Journal of Artificial Intelligence and Data Science. 2021;1:71–79.

MLA

Tanrıverdi, Serap, and Levent Aydın. “Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis”. Journal of Artificial Intelligence and Data Science, vol. 1, no. 1, Aug. 2021, pp. 71-79, https://izlik.org/JA67EW53DU.

Vancouver

1.Serap Tanrıverdi, Levent Aydın. Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis. Journal of Artificial Intelligence and Data Science [Internet]. 2021 Aug. 1;1(1):71-9. Available from: https://izlik.org/JA67EW53DU