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

Öz

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.

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Zeka

Bölüm

Araştırma Makalesi

Yazarlar

Serap Tanrıverdi Bu kişi benim
Türkiye

Levent Aydın ^* Bu kişi benim
Türkiye

Yayımlanma Tarihi

30 Ağustos 2021

Gönderilme Tarihi

24 Temmuz 2021

Kabul Tarihi

25 Ağustos 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 1 Sayı: 1

IZ

https://izlik.org/JA67EW53DU

Kaynak Göster

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, ve 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 (01 Ağustos 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 ve 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, c. 1, sy 1, ss. 71–79, Ağu. 2021, [çevrimiçi]. Erişim adresi: 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 (01 Ağustos 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, ve 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, c. 1, sy 1, Ağustos 2021, ss. 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]. 01 Ağustos 2021;1(1):71-9. Erişim adresi: https://izlik.org/JA67EW53DU