Custom 450 Paslanmaz Çeliğinin Delinmesinde Yüzey Pürüzlülüğünü Minimize Etmek için Matematiksel Modelleme ve Çok Yanıtlı Optimizasyon

Abstract

Bu çalışmada, Custom 450 paslanmaz çelik iş parçaları üzerinde delme testleri yapılmıştır. Kontrol faktörlerinin (kesme hızı-Vc, ilerleme miktarı-f ve matkap ucu geometrisi-D) delinen deliklerin yüzey pürüzlülüğü (Ra) ve matkap ucuna yapışan iş parçasının boyutu (AW) üzerindeki etkileri incelenmiştir. Taguchi'nin L16 ortogonal dizisine dayalı olarak tasarlanan testlerden elde edilen sonuçlar, ANOVA ve Gri İlişkisel Analizler (GRA) kullanılarak analiz edilmiştir. Kalite karakteristikleri (Ra ve AW) kontrol faktörleri ve seviyelerine bağlı olarak eş zamanlı optimize edilmiştir. Ayrıca, kalite karakteristiklerini tahmin etmek için Tepki Yüzey Metodolojisi (RSM) kullanılarak matematiksel modeller geliştirilmiştir. Kullanılan matkap uçları dijital ve taramalı elektron mikroskoplarında incelenmiş ve EDX analizleri yapılmıştır. Deneysel sonuçlar, Ra ve AW'nin f arttıkça arttığını göstermiştir. Ayrıca Vc'nin artması AW boyutunda azalmaya neden olduğu ve matkap ucu aşınmasının en yüksek Vc olan 60 m/dak'da belirginleştiği görülmüştür. ANOVA sonuçlarına göre Ra üzerinde en etkili kontrol faktörü %93.11 ile f ve AW üzerinde ise %58.14 ile Vc olmuştur. GRA analizi, en etkili kontrol faktörünün f olduğunu ve optimum seviyelerin 60 m/dk kesme hızı, 0.005 m/dk ilerleme ve 4 numaralı matkap ucu olduğunu belirlenmiştir.

Keywords

• Paslanmaz çelik
• delme
• yüzey pürüzlülüğü
• yığıntı talaş
• optimizasyon

Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel

Abstract

In the present study, drilling tests were carried out on Custom 450 stainless steel workpieces. The influences of control factors (cutting speed-Vc, feed rate-f and drill bit geometry-D) on the drilled holes’ surface roughness (Ra) and on the size of adhering workpiece (AW) to the drill bit was examined. The results obtained from tests designed based on the Taguchi’s L16 orthogonal array were analysed using ANOVA and grey relational analyses (GRA). Therefore, the control factors and their levels were optimised simultaneously for the quality characteristics (Ra and AW). In addition, mathematical models were also developed using Response Surface Methodology (RSM) in order to estimate the quality characteristics. The used drill bits were examined under digital and scanning electron microscopes and EDX analysis was also carried out on the drill bits. The experimental results showed that the Ra and AW increased with increasing the f. It was also seen that increasing the Vc resulted in decrease in the size of adhering layer and that the drill bit wear became clear at the highest Vc of 60 m/min. According to the ANOVA results, the most effective control factor on Ra was f with 93.11% and Vc with 58.14% on AW. GRA analysis revealed that the most influential control factor was the f and that the optimum levels were 60 m/min Vc, 0.005 m/min f and drill bit 4.

Keywords

• Stainless Steel
• Drilling
• Surface Roughness
• Adhering Workpiece
• Optimisation

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