Tornalamada Akustik Emisyon ve Motor Akımı Optimizasyonu ve Analizi

Year 2021, Issue: 25, 50 - 57, 31.08.2021

Abdullah Aslan

https://doi.org/10.31590/ejosat.894203

Abstract

Tornalamada kesme parametrelerinin optimizasyonu, iş parçasının yüzey kalitesinin, üretim verimliliğinin ve takım ömrünün artırılması için oldukça önemlidir. Endüstriyel uygulamalarda oldukça fazla sayıda malzemenin talaşlı imalat alanında kullanılması sebebiyle her malzeme için optimizasyon çalışması yapılması önemlidir. Ancak özellik birbirinden farklı birçok sektörde kritik yük taşıyan parçalarda kullanılan malzemelerin optimizasyonu elzemdir. Bu nedenle, bu çalışma kapsamında 5140 çeliğinin tornalanması için optimum kesme parametreleri belirlenmiştir. Deneyler kuru işleme koşullarında gerçekleştirilmiş olup 2 farklı kesme hızı, talaş derinliği, ilerleme hızı ve yaklaşma açısı incelenmiştir. Kesme parametreleri, akustik emisyon ve akım sensörlerinden alınan verilerle değerlendirilmiş olup optimizasyon tekniği olarak Taguchi yöntemi kullanılmıştır. Ayrıca kesme parametrelerinin akustik emisyon ve akım üzerindeki etkisi incelenmiştir. Sonuçlara göre kesme hızı motor akımı (70.8%) ve akustik emisyon (89.5%) üzerinde en etkili parametre olurken, istatistiksel analiz sonuçlarının hem motor akımı (92.5%) hem de akustik emisyon (95.9%) için yüksek güven aralığında olduğu görümüştür. Optimizasyon sonuçlarına göre motor akımı ve akustik emisyonu minimum yapacak parametreler sırası ile v1f1d1κ1 ve v1f1d2κ2 olarak tespit edilmiştir.

Keywords

Akustik emisyon, Motor akımı, Optimizsyon, Taguchi

Acoustic Emission and Motor Current Optimization and Analysis in Turning

Abstract

Optimization of cutting parameters in turning is very important for increasing the surface quality, production efficiency and tool life of the workpiece. In industrial applications, it is important to make an optimization study for each material because a large number of materials are used in the field of machining. However, the optimization of materials used in parts carrying critical loads in many different sectors is essential. Therefore, in the scope of this study, optimum cutting parameters for turning 5140 steel were determined. The experiments were carried out under dry machining conditions and 2 different cutting speeds, depth of cut, feed rate and approach angle were investigated. The cutting parameters were evaluated with the data obtained from the acoustic emission and flow sensors, and Taguchi method was used as the optimization technique. In addition, the effect of cutting parameters on acoustic emission and current has been investigated. According to the results, while cutting speed was the most influential parameter on engine current (70.8%) and acoustic emission (89.5%), statistical analysis results were found to be in a high confidence interval for both motor current (92.5%) and acoustic emission (95.9%). According to the optimization results, the parameters that will minimize the motor current and acoustic emission were determined as v1f1d1κ1 and v1f1d2κ2, respectively.

Keywords

Acoustic emission, Motor Current, Optimization, Taguchi

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