Predictive Modelling of Ball Burnishing Process Using Regression Analysis and Neural Network
ÖZGÜN, SÜEDA
The present paper focuses on two techniques, namely regression and neu- ral network techniques, for predicting surface roughness in ball burnish- ing process. Values of surface roughness predicted by the two techniques were compared with experimental values. Also, the effects of the main burnishing parameters on surface roughness have been determined. Sur- face roughness (Ra) was taken as response (output) variable and burnish- ing force, number of passes, feed rate, and burnishing speed were taken as input parameters. Relationship between the surface roughness and burnishing parameters was found out for direct measurement of the surface roughness. Results showed the application of the regression and neural network models to accurately predict the surface roughness. Der vorliegende Beitrag...
Farklı Bölge Pamuklarından Üretilen Mamul Örme Kumaşların
Konfor Özelliklerinin Araştırılması
Investigation of Comfort Properties of Finished Knitted Fabrics Produced from Cotton of Different Regions
ÖZGÜN, Süeda
Pamuk lif özelliklerindeki varyasyonun, iplik ve kumaş kalite ve konfor özellikleri üzerinde önemli bir etkisi olduğu bilinmektedir. Bu çalışmada, aynı türde (Gossypium Hirsutum L.) olan ancak farklı bölgelerde yetiştirilmiş pamukların lif özellikleri, iplik özellikleri ve bu liflerden üretilmiş mamul örme kumaşların bazı termo-fizyolojik konfor özellikleri araştırılmıştır. Bu doğrultuda, altı farklı bölgeden seçilen pamuk tipleriyle Ne 30/1 kompakt penye iplikler üretilmiş ve aynı koşullar altında örme kumaşlar üretilerek boyama işlemleri gerçekleştirilmiştir. Kumaşlara fiziksel, boyutsal ve konfor özellikleri için uygulanan testlerin sonuçları grafiklerle karşılaştırmalı olarak değerlendirilmiş ve elde edilen veriler istatistiksel olarak analiz edilmiştir. Çalışma sonucunda, ...
Multi-Objective Optimization Of The Cutting
Forces In Turning Operations Using The
Grey-Based Taguchi Method
Multi Namenska Optimizacija Stru@Enja Z Uporabo Taguchi Metode Na Grey Podlagi
Guven, Onur | Ozgun, Sueda
This study investigated the multi-response optimization of the turning process for an optimal parametric combination to yield the minimum cutting forces and surface roughness with the maximum material-removal rate (MRR) using a combination of a Grey relational analysis (GRA) and the Taguchi method. Nine experimental runs based on an orthogonal array of the Taguchi method were performed to derive objective functions to be optimized within the experimental domain. The objective functions were selected in relation to the parameters of the cutting process: cutting force, surface roughness and MRR. The Taguchi approach was followed by the Grey relational analysis to solve the multi-response optimization problem. The significance of the factors on the overall quality characteristics of the...
Optimization Of Weld Bead Geometry In Tig
Welding Process Using Grey Relation
Analysis And Taguchi Method
Optimizacija Geometrije Tig-Varkov Z Greyjevoanalizo In Taguchijevo Metodo
Ozgun, Sueda
This study investigated the multi-response optimization of tungsten inert gas welding (TIG) welding process for an optimal parametric combination to yield favorable bead geometry of welded joints using the Grey relational analysis and Taguchi method. Sixteen experimental runs based on an orthogonal array of Taguchi method were performed to derive objective functions to be optimized within experimental domain. The objective functions have been selected in relation to parameters of TIG welding bead geometry; bead width, bead height, penetration, area of penetration as well as width of heat affected zone and tensile load. The Taguchi approach followed by Grey relational analysis to solve the multi-response optimization problem. The significance of the factors on overall quality characte...