ABS ESASLI NUMUNELERİN 3D YAZICI İLE ÜRETİLMESİNDE İŞLEM PARAMETRELERİNİN OPTİMİZASYONU

Year 2022, , 236 - 249, 31.08.2022

Musa Bilgin

https://doi.org/10.46519/ij3dptdi.1126200

Cited By: 4

Abstract

3D yazıcılar ile imalat birçok girdi parametresi olmasından dolayı oldukça karmaşık bir süreçtir. Bu durum optimum üretim parametrelerin belirlenmesini zorlaştırmaktadır. Bu çalışmada; ABS malzemelerin 3D yazıcılarda ergiyik yığma modelleme (FDM) ile üretilmesinde doluluk oranı (%50, %70 ve %90), dolgu deseni (doğrusal, sekizgen ve bal peteği) ve katman kalınlığı (0,19 mm, 0,29mm ve 0,39 mm) işlem parametrelerinin; yüzey pürüzlülüğü, çekme dayanımı ve imalat sürelerine etkileri varyans analizi (ANOVA) incelenmiştir. Çıktı parametreleri üzerinde en etkili işlem parametresi katman kalınlığıdır. Azalan katman kalınlığının yüzey pürüzlülüğü ve çekme dayanımı üzerinde olumlu etkisi olurken, imalat süresi üzerinde olumsuz etkisi olmuştur. Taguchi L27 (33) deneysel tasarımına göre geçekleştirilen deneylerde optimazyon işleminde üç farklı çıktı parametresi değerlendiği için çoklu performans optimizasyonunda değerlendirme kriteri olarak gri ilişkisel derece kullanılmıştır. Optimum işlem parametresi doğrusal dolgu deseni, %90 dolgu oranı ve 0,19 mm katman kalınlığı olarak belirlenmiştir.

Keywords

ABS, FDM, 3D baskı, Optimizasyon, gri ilişkisel analiz

OPTIMIZATION OF 3D PROCESSING PARAMETERS USED FDM METHOD IN THE PRODUCTION OF ABS BASED SAMPLES

Abstract

Manufacturing with 3D printers is a very complex process due to many input parameters. This situation makes it difficult to determine optimum production parameters. In this study; hen the production of ABS materials with the fused deposition method (FDM) in 3D printers, the effects of process parameters, which are infill density (50%, 70%, and 90%), fill pattern (linear, octagonal and honeycomb), and layer thickness (0.19mm, 0.29mm and 0.39mm) were investigated on surface roughness, tensile strength, and manufacturing times by analysis of variance (ANOVA). The most effective process parameter on the output parameters was the layer thickness. While the decreasing layer thickness had a positive effect on the surface roughness and tensile strength, it had a negative effect on the manufacturing time. In the experiments carried out according to the Taguchi L27 (33) experimental design, since three different output parameters were evaluated in the optimization process, the gray relational degree was used as the evaluation criterion in the multiple performance optimizations. The optimum processing parameter was determined as linear fill pattern, 90% infill density and 0.19 mm layer thickness.

Keywords

ABS, FDM, 3D Printing, Optimization, Gray Relational Analysis

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