Prediction of the Production Quality During Flat Bottom Drilling of Low Lead Brass Alloy Using Fuzzy Logic and Regression Models

Öz

İçme suyu ve pompa sistemlerinde kullanılan pirinç alaşımlarının kimyasal bileşiminde Kurşun elementinin bulunmasına ilişkin onaylanmış kısıtlayıcı kurallar, yeni malzeme nesillerinin geliştirilmesini sağlamıştır. Bu unsurun ihmal edilmesi veya sınırlandırılması, endüstriyi geleneksel olanlara göre daha düşük işlenebilirlik gibi ciddi sorunlarla karşı karşıya bırakmıştır. Ayrıca bu alaşımlardan imal edilen bileşenlerin en çok uygulaması sıvı transferine denk geldiği için parçalar ve yüzeyleri arasındaki geçirgenlik özelliği ön plana çıkmaktadır. Bu çalışmada, düşük kurşunlu pirinç alaşımının işlenmesi için radyal, eksenel eğim açısı ve kesici kenar yarıçapı gibi çeşitli geometrilere sahip düz tabanlı matkaplarla işlenmiş kör deliklerin kalitesi araştırılmıştır. Ayrıca, işlenmiş deliklerin çapak yüksekliğini ve yüzey kalitesini tahmin etmek için bulanık mantık ve regresyon modelleri geliştirilmeye çalışılmıştır. Model tahminleri deneysel verilerle karşılaştırılmıştır. Elde edilen sonuçlar, geliştirilen modellerin ürün kalitesini tahmin edebildiğini göstermiştir.

Anahtar Kelimeler

• Flat bottom drill
• low-lead brass
• fuzzy logic
• regression.

Prediction of the Production Quality During Flat Bottom Drilling of Low Lead Brass Alloy using Fuzzy Logic and Regression models

Öz

The approved restrictive rules on the containment of Lead element in the chemical composition of the brass alloys which are utilized in drinking water and pumping systems have resulted in developing of new material generations. Neglection or limitation of this element has faced the industry with some serious problems such as lower machinability as compared to the conventional ones. Furthermore, since the most application of the manufactured components from these alloys corresponds to the fluids transfer, the permeability property between the parts and their surface becomes prominent. In other words, any burrs or extra material which are left on the surfaces of manufactured components will make assembly troublesome, causing seals to tear, and permeability problems in the user's hands. In this study, the quality of the machined blind holes with flat bottom drills with various geometries including radial, axial rake angle as well as the cutting edge-radius have been investigated for machining of low-lead brass alloy. Moreover, it has attempted to develop fuzzy logic and regression models in order to predict the machined holes burr height and surface quality. The model predictions have been compared with the experimental data. The obtained results have demonstrated that the developed models are able in predicting of the product quality.

Anahtar Kelimeler

• Flat bottom drill
• low-lead brass
• fuzzy logic
• regression.

Kaynakça

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