Dergiler / International Journal of Intelligent Systems and Applications in Engineering / 2017 / Cilt: 5 - Sayı: 2

Hybridizing Taguchi Algorithm with Reference Ideal Method to Solve Machining Problems

Sayfa
64–69
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The proposed model can be used by engineers and operators in manufacturing environment

📌 3 Maddede Bu Makale

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Amaç & Hipotez:New materials lead to the occurrence of high technology industries.
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Temel Bulgular & Veri:These materials are high strength, corrosion and heat resistant steel alloys, titanium, ceramics, composites, and other non-metallic materials.
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Sonuç & Katkı:The proposed model can be used by engineers and operators in manufacturing environment
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

New materials lead to the occurrence of high technology industries. These materials are high strength, corrosion and heat resistant steel alloys, titanium, ceramics, composites, and other non-metallic materials. Conventional machining methods are not proper to machine these materials in terms of high surface quality. Such materials are generally processed using non-traditional machining methods. Multi criteria decision making models (MCDM) are extensively used in material-process selection, and optimization of machining problems in engineering. In this study, a novel hybrid optimization model is proposed. Taguchi method is hybridized with Reference Ideal Method. The model is tested using two case studies (conventional and non-traditional machining problems) taken from literature. The proposed model can be used by engineers and operators in manufacturing environment

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Bu Makaleye Atıf Yap

SOFUOĞLU, M. A. (2017). Hybridizing Taguchi Algorithm with Reference Ideal Method to Solve Machining Problems. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 5 - Sayı: 2, 64–69. https://ajindex.com/articles/192479

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Kaynakça (11)

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