Journals / 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

Pages
64–69
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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

📌 3 Key Takeaways

🎯
Objective & Hypothesis:New materials lead to the occurrence of high technology industries.
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Key Findings & Data:These materials are high strength, corrosion and heat resistant steel alloys, titanium, ceramics, composites, and other non-metallic materials.
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Conclusion & Impact:The proposed model can be used by engineers and operators in manufacturing environment
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

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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Cite This Article

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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