Multi-Objective Optimization of Cutting Parameters for Polyethylene Thermoplastic Material by Integrating Data Envelopment Analysis and SWARA-Based CoCoSo Approach

Oğuzhan Der; Muhammed Ordu; Gökhan Başar

Makale detayları

Multi-Objective Optimization of Cutting Parameters for Polyethylene Thermoplastic Material by Integrating Data Envelopment Analysis and SWARA-Based CoCoSo Approach

Yazarlar:

Oğuzhan Der | Muhammed Ordu | Gökhan Başar

Yayıncı:

Osmaniye Korkut Ata Üniversitesi

Ana Başlıklar:

Makine İle İşleme

Dergi:

Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.7 Issue 2, pp.638-661

Belge Tipi:

Makale

Yayın Tarihi:

11/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001313003

pISSN:

2687-3729

Anahtar kelimeler:

Özet:

 This paper presents a comprehensive study on the multi-objective optimization of cutting parameters for Polyethylene PE thermoplastic material utilizing a CO2 laser. Recognizing the pivotal role of precise and efficient cutting in various sectors, from packaging to biomedical engineering, we integrate two potent analytical methodologies - Data Envelopment Analysis DEA and Step-Wise Weight Assessment Ratio Analysis SWARA-based Comprehensive Criteria Score Optimization CoCoSo approach. The cutting parameters chosen for the study were material thickness, power, and cutting speed. The experiments were conducted according to the Taguchi L18 orthogonal array. Measurements of surface roughness and kerf width were performed to examine the cutting quality. Additionally, another response variable, material removal rate, was calculated. By integrating Data Envelopment Analysis and SWARA-Based CoCoSo approach, the experimental condition that yielded the lowest surface roughness, kerf width, and the highest material removal rate was determined. The optimum experimental condition was found to be 4 mm material thickness, 80 W laser power, and 15 mms cutting speed. This work, therefore, paves the way for the innovative application of these combined methodologies in enhancing the production processes of PE and other thermoplastic materials, with clear implications for cost-effectiveness and sustainability in the manufacturing sector.

 This paper presents a comprehensive study on the multi-objective optimization of cutting parameters for Polyethylene PE thermoplastic material utilizing a CO2 laser. Recognizing the pivotal role of precise and efficient cutting in various sectors, from packaging to biomedical engineering, we integrate two potent analytical methodologies - Data Envelopment Analysis DEA and Step-Wise Weight Assessment Ratio Analysis SWARA-based Comprehensive Criteria Score Optimization CoCoSo approach. The cutting parameters chosen for the study were material thickness, power, and cutting speed. The experiments were conducted according to the Taguchi L18 orthogonal array. Measurements of surface roughness and kerf width were performed to examine the cutting quality. Additionally, another response variable, material removal rate, was calculated. By integrating Data Envelopment Analysis and SWARA-Based CoCoSo approach, the experimental condition that yielded the lowest surface roughness, kerf width, and the highest material removal rate was determined. The optimum experimental condition was found to be 4 mm material thickness, 80 W laser power, and 15 mms cutting speed. This work, therefore, paves the way for the innovative application of these combined methodologies in enhancing the production processes of PE and other thermoplastic materials, with clear implications for cost-effectiveness and sustainability in the manufacturing sector.

 This paper presents a comprehensive study on the multi-objective optimization of cutting parameters for Polyethylene PE thermoplastic material utilizing a CO2 laser. Recognizing the pivotal role of precise and efficient cutting in various sectors, from packaging to biomedical engineering, we integrate two potent analytical methodologies - Data Envelopment Analysis DEA and Step-Wise Weight Assessment Ratio Analysis SWARA-based Comprehensive Criteria Score Optimization CoCoSo approach. The cutting parameters chosen for the study were material thickness, power, and cutting speed. The experiments were conducted according to the Taguchi L18 orthogonal array. Measurements of surface roughness and kerf width were performed to examine the cutting quality. Additionally, another response variable, material removal rate, was calculated. By integrating Data Envelopment Analysis and SWARA-Based CoCoSo approach, the experimental condition that yielded the lowest surface roughness, kerf width, and the highest material removal rate was determined. The optimum experimental condition was found to be 4 mm material thickness, 80 W laser power, and 15 mms cutting speed. This work, therefore, paves the way for the innovative application of these combined methodologies in enhancing the production processes of PE and other thermoplastic materials, with clear implications for cost-effectiveness and sustainability in the manufacturing sector.

 Bu makale, Polietilen PE termoplastik malzeme için CO2 lazer kullanarak kesme parametrelerinin çok amaçlı optimizasyonu üzerine kapsamlı bir çalışma sunmaktadır. Ambalaj endüstrisinden biyomedikal mühendisliğe kadar çeşitli sektörlerde kesme işleminin hassas ve verimli bir şekilde gerçekleştirilmesinin önemini göz önünde bulundurarak, Veri Zarflama Analizi DEA ve Adım Adım Ağırlık Değerlendirme Oranı Analizi SWARA temelinde Birleşik Uzlaşma Çözümü CoCoSo yaklaşımını entegre ediyoruz. Kesme parametreleri olarak malzeme kalınlığı, güç ve kesme hızı seçilmiştir. Deneyler Taguchi L18 ortogonal dizine göre uygulanmıştır. Kesim kalitesini incelemek için yüzey pürüzlülüğü ve kerf genişliği ölçümleri gerçekleştirilmiştir. Ayrıca, diğer bir yanıt olan malzeme kaldırma oranı hesaplanmıştır. Veri Zarflama Analizi ve SWARA Tabanlı CoCoSo yaklaşımı entegre edilerek en düşük yüzey pürüzlülüğü, kerf genişliği ve en yüksek malzeme kaldırma oranının elde edildiği deney koşulu tespit edilmiştir. Optimum deney koşulu; 4 mm malzeme kalınlığı, 80 W lazer gücü ve 15 mms kesme hızı olarak tespit edilmiştir. Bu çalışma, bu birleşik metodolojilerin PE ve diğer termoplastik malzemelerin üretim süreçlerini geliştirmede yenilikçi uygulamalarına yol açmaktadır. Bu durum, imalat sektöründe maliyet etkinliği ve sürdürülebilirlik açısından net etkileri olan bir perspektif sunmaktadır.

Makale detayları

Multi-Objective Optimization of Cutting Parameters for Polyethylene Thermoplastic Material by Integrating Data Envelopment Analysis and SWARA-Based CoCoSo Approach

Yazarlar:

Oğuzhan Der | Muhammed Ordu | Gökhan Başar

Yayıncı:

Osmaniye Korkut Ata Üniversitesi

Ana Başlıklar:

Makine İle İşleme

Dergi:

Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.7 Issue 2, pp.638-661

Belge Tipi:

Makale

Yayın Tarihi:

11/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001313003

pISSN:

2687-3729

CO2 laser cutting

Optimization

Multi criteria decision making

PolypropyleneCO2 Lazer kesim

Optimizasyon

Çok kriterli karar verme

Polipropilen

Sayı

Makale detayları

Yazarlar: Oğuzhan Der | Muhammed Ordu | Gökhan Başar

Yayıncı: Osmaniye Korkut Ata Üniversitesi

Ana Başlıklar: Makine İle İşleme

Dergi: Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.7 Issue 2, pp.638-661

Belge Tipi: Makale

Yayın Tarihi: 11/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001313003

pISSN: 2687-3729

Sayı

Yazarlar:

Oğuzhan Der | Muhammed Ordu | Gökhan Başar

Yayıncı:

Osmaniye Korkut Ata Üniversitesi

Ana Başlıklar:

Makine İle İşleme

Dergi:

Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.7 Issue 2, pp.638-661

Belge Tipi:

Makale

Yayın Tarihi:

11/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001313003

pISSN:

2687-3729