Cutting parameters are optimized by maximizing material removal rate and minimizing surface roughness and cutting force.
📌 3 Key Takeaways
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Objective & Hypothesis:In this article, surface roughness, cutting forces and material removal rates of different materials are investigated in different cutting conditions in turning operations.
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Key Findings & Data:Surface roughness, material removal rate and cutting forces were measured during experiments.
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Conclusion & Impact:Cutting parameters are optimized by maximizing material removal rate and minimizing surface roughness and cutting force.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this article, surface roughness, cutting forces and material removal rates of different materials are investigated in different cutting conditions in turning operations. First, vibration characteristics (natural and chatter frequency, stiffness coefficient and damping ratio) are determined by modal analysis and different cutting tests. Surface roughness, material removal rate and cutting forces were measured during experiments. By using these experiments, five different hybrid multi-criteria decision making models are proposed. Cutting parameters are optimized by maximizing material removal rate and minimizing surface roughness and cutting force.
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Cite This Article
SOFUOĞLU, M. A., ORAK, S., ARAPOĞLU, R. A. (2022). MULTI OBJECTIVE OPTIMIZATION OF TURNING OPERATION USING HYBRID DECISION MAKING ANALYSIS. Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik, Cilt: 18 - Sayı: 3, 595–610. https://ajindex.com/articles/438288
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