Optimisation of Machining Parameters ın Turning 17-4 Ph Stainless Steel Using the Grey-Based Taguchi Method

Yıl 2017, Cilt: 10 Sayı: 2, 243 - 254, 22.12.2017

Gültekin Basmacı , Mustafa Ay , İsmail Kırbaş

Öz

In this
study, an experimental optimization on cutting forces and surface roughness in
turning of 17-4 PH stainless steel using wiper and conventional insert cutting
tools with dry cutting condition were presented. The influences of feed rate,
depth of cut, and corner radius on surface roughness and cutting force were
examined. In order to optimize the turning process, Grey Relational Analysis
optimization method was used. The influence of each parameter on obtained
results was determined by using analysis of variance (ANOVA). The relationship
between dependent parameters and independent parameters were modeled by
Regression analysis. The optimal machinability of 17-4 PH stainless steel with
coated carbide insert was successfully determined in this study.

Anahtar Kelimeler

Grey Relational Analysis, ANOVA, Taguchi method, Cutting Geometry

Optimisation of Machining Parameters ın Turning 17-4 Ph Stainless Steel Using the Grey-Based Taguchi Method

Öz

Bu çalışmada; 17-4 PH paslanmaz çeliğin silici ve
geleneksel kesici uçlar ile kuru şartlarda tornalanmasının kesme kuvvetleri ve
yüzey pürüzlülüğüne etkileri gri tabanlıtaguchi optimizasyonu sunulmuştur.
İlerleme oranının, kesme derinliğinin ve köşe radisünün kesme kuvveti ve yüzey
pürüzlülüğü üzerine etkileri incelendi. Gri ilişki analiz optimizasyon metodu
kullanıldı.  Her bir parametrenin elde
edilen sonuçlara etkisinin tayini içinde varyans analizi (ANOVA)
kullanılmıştır. Bağımlı değişkenlerle bağımsız değişkenler arasındaki ilişki
regresyon analizi ile modellendi. Bu çalışmada 17-4 PH paslanmaz çeliğin
kaplamalı karbid uç ile optimal işlenebilirliği tayin edildi.

Anahtar Kelimeler

ANOVA, Gri ilişki analizi, Taguchi, Kesici geometrisi

Kaynakça

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