Parameter Optimization for Dimensional Accuracy and Production Time in Fused Deposition Modeling with Polylactic Acid

İnayet Burcu Toprak

Makale detayları

Parameter Optimization for Dimensional Accuracy and Production Time in Fused Deposition Modeling with Polylactic Acid

Yazarlar:

İnayet Burcu Toprak

Yayıncı:

Recep Tayyip Erdoğan University

Ana Başlıklar:

Makine Mühendisliğinde Optimizasyon Teknikleri | Malzeme Üretim Teknolojileri

Dergi:

Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi Vol.5 Issue 2, pp.39-48

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001337950

pISSN:

2687-2315

Anahtar kelimeler:

Özet:

 Dimensional accuracy and short production times are important for additive manufacturing technologies that meet the needs of the defense, aerospace, automotive and healthcare industries. This requires identifying and optimizing the right parameters and balancing multiple objectives in decision-making processes. In this study, the simultaneous impact of various production parameters on dimensional accuracy and production time was examined using the Technique for Order of Preference by Similarity to Ideal Solution. Taguchi method was used to design the experiments and tensile specimens were produced from polylactic acid material in accordance with ASTM638 type 1 standard with ANYCUBIC 3D printer. The control factors selected for the study were infill density 40, 60, 80 , layer thickness 0.2, 0.25, 0.30 mm and printing speed 40, 50, 60 mms. To find the optimal parameters, relative closeness to the ideal solutionCi values were calculated and analyzed using Analysis of Variance and SignalNoise analysis, and it was found that the best conditions to increase Ci were 80  infill density, 0.30 mm layer thickness and 40 mmsec printing speed. The contribution of parameters was determined to be 19.5 , 20.1 , and 55.7 , respectively. Finally, a validation experiment was performed using the optimal parameters and it was observed that the Ci value increased by 44 . These results clearly show that productivity and quality improvements in additive manufacturing technologies are possible with the use of optimal parameters, providing a valuable roadmap for companies that want to gain a competitive advantage in the sector.

 Dimensional accuracy and short production times are important for additive manufacturing technologies that meet the needs of the defense, aerospace, automotive and healthcare industries. This requires identifying and optimizing the right parameters and balancing multiple objectives in decision-making processes. In this study, the simultaneous impact of various production parameters on dimensional accuracy and production time was examined using the Technique for Order of Preference by Similarity to Ideal Solution. Taguchi method was used to design the experiments and tensile specimens were produced from polylactic acid material in accordance with ASTM638 type 1 standard with ANYCUBIC 3D printer. The control factors selected for the study were infill density 40, 60, 80 , layer thickness 0.2, 0.25, 0.30 mm and printing speed 40, 50, 60 mms. To find the optimal parameters, relative closeness to the ideal solutionCi values were calculated and analyzed using Analysis of Variance and SignalNoise analysis, and it was found that the best conditions to increase Ci were 80  infill density, 0.30 mm layer thickness and 40 mmsec printing speed. The contribution of parameters was determined to be 19.5 , 20.1 , and 55.7 , respectively. Finally, a validation experiment was performed using the optimal parameters and it was observed that the Ci value increased by 44 . These results clearly show that productivity and quality improvements in additive manufacturing technologies are possible with the use of optimal parameters, providing a valuable roadmap for companies that want to gain a competitive advantage in the sector.

 Dimensional accuracy and short production times are important for additive manufacturing technologies that meet the needs of the defense, aerospace, automotive and healthcare industries. This requires identifying and optimizing the right parameters and balancing multiple objectives in decision-making processes. In this study, the simultaneous impact of various production parameters on dimensional accuracy and production time was examined using the Technique for Order of Preference by Similarity to Ideal Solution. Taguchi method was used to design the experiments and tensile specimens were produced from polylactic acid material in accordance with ASTM638 type 1 standard with ANYCUBIC 3D printer. The control factors selected for the study were infill density 40, 60, 80 , layer thickness 0.2, 0.25, 0.30 mm and printing speed 40, 50, 60 mms. To find the optimal parameters, relative closeness to the ideal solutionCi values were calculated and analyzed using Analysis of Variance and SignalNoise analysis, and it was found that the best conditions to increase Ci were 80  infill density, 0.30 mm layer thickness and 40 mmsec printing speed. The contribution of parameters was determined to be 19.5 , 20.1 , and 55.7 , respectively. Finally, a validation experiment was performed using the optimal parameters and it was observed that the Ci value increased by 44 . These results clearly show that productivity and quality improvements in additive manufacturing technologies are possible with the use of optimal parameters, providing a valuable roadmap for companies that want to gain a competitive advantage in the sector.

 Savunma, havacılık, otomotiv ve sağlık sektörlerindeki ihtiyaçları karşılayan eklemeli imalat teknolojileri için, boyutsal doğruluk ve üretim süresinin kısalığı önemlidir. Bunun için doğru parametrelerin belirlenmesi, optimize edilmesi ve karar verme süreçlerinde birden fazla hedefin dengelenmesi gerekmektedir. Bu çalışmada, İdeal Çözüme Benzerlik Sırası Tekniğiyle boyutsal doğruluk ve üretim süresi üzerinde farklı üretim parametrelerinin etkisi aynı anda incelenmiştir. Deneylerin tasarlanması için Taguchi yöntemi kullanılmış ve ANYCUBIC 3B yazıcısı ile Polilaktik asit malzemeden ASTM D638 tip 1 standardına uygun çekme numuneleri üretilmiştir. Çalışma için seçilen kontrol faktörleri, dolgu yoğunluğu  40, 60, 80, katman kalınlığı 0,2, 0,25, 0,30 mm ve baskı hızıdır 40, 50, 60 mmsn. Numunelerin nominal boy, genişlik ve kalınlık değerlerinden sapmalar, boyutsal doğruluk yanıtları olarak kabul edilmiştir. Optimal parametreleri bulmak için ideal çözüme izafi yakınlık değerleri-Ci hesaplanmış, Varyans Analizi ve SinyalGürültü analizi kullanılarak analiz edilmiş, Ci yı arttırmak için en iyi koşulların 80 dolgu yoğunluğu, 0,30 mm katman kalınlığı ve 40 mmsn baskı hızı olduğu bulunmuştur. Parametrelerin katkısı sırasıyla 19,5, 20,1 ve 55,7 belirlenmiştir. Son olarak, optimal parametreler kullanılarak bir doğrulama deneyi gerçekleştirilmiştir. Bu deneyde, boydaki sapma 0,41 mm, genişlikteki sapma 0,03 mm ve kalınlıktaki sapma ise 0,07 mm olarak belirlenmiştir. Üretim süresi ise 56 dakika olarak tespit edilmiştir. Ci değerinin 44 arttığı gözlemlenmiştir. Bu sonuçlar, optimal parametrelerin kullanılmasıyla eklemeli imalat teknolojilerindeki verimlilik ve kalite artışının mümkün olduğunu açıkça göstererek, sektörde rekabet avantajı sağlamak isteyen şirketlere değerli bir yol haritası sunmaktadır.

Makale detayları

Parameter Optimization for Dimensional Accuracy and Production Time in Fused Deposition Modeling with Polylactic Acid

Yazarlar:

İnayet Burcu Toprak

Yayıncı:

Recep Tayyip Erdoğan University

Ana Başlıklar:

Makine Mühendisliğinde Optimizasyon Teknikleri | Malzeme Üretim Teknolojileri

Dergi:

Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi Vol.5 Issue 2, pp.39-48

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001337950

pISSN:

2687-2315

Fused Deposition Modeling

PLA

Taguchi

TOPSIS

dimensional accuracy

production time.Eriyik Yığma Modelleme

PLA

Taguchi

TOPSIS

boyutsal doğruluk

üretim süresi.

Sayı

Makale detayları

Yazarlar: İnayet Burcu Toprak

Yayıncı: Recep Tayyip Erdoğan University

Ana Başlıklar: Makine Mühendisliğinde Optimizasyon Teknikleri | Malzeme Üretim Teknolojileri

Dergi: Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi Vol.5 Issue 2, pp.39-48

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001337950

pISSN: 2687-2315

Sayı

Yazarlar:

İnayet Burcu Toprak

Yayıncı:

Recep Tayyip Erdoğan University

Ana Başlıklar:

Makine Mühendisliğinde Optimizasyon Teknikleri | Malzeme Üretim Teknolojileri

Dergi:

Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi Vol.5 Issue 2, pp.39-48

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001337950

pISSN:

2687-2315