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Journals / Renewable Energy Sources Energy Policy and Energy Management / 2020 / Cilt: 1 Sayı: 2

Optimization of Internal Combustion Engine Tests with Response Surface Methodology: A Review

Mehmet Selman GÖKMEN
Mehmet BİLBAN
Pages
35–41
Publication Date
2020-09-03
DOI
—
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AI Summary & Key Takeaways

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

Apart from this, in this study, the applications in the literature are summarized for the researchers who will carry out optimization studies in internal combustion engines.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Experimental design is an important technique to reduce cost, determine optimum parameters and obtain scientifically meaningful results.
📊
Key Findings & Data:Response surface methodology is a useful method for the design and optimization of experiments.
💡
Conclusion & Impact:Apart from this, in this study, the applications in the literature are summarized for the researchers who will carry out optimization studies in internal combustion engines.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Internal Combustion Engines · Response Surface Methodology · Design of Experiences

Abstract

Experimental design is an important technique to reduce cost, determine optimum parameters and obtain scientifically meaningful results. Response surface methodology is a useful method for the design and optimization of experiments. In this review, theoretical information about the method, calculations and stages of designing are clearly stated. Apart from this, in this study, the applications in the literature are summarized for the researchers who will carry out optimization studies in internal combustion engines.

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Cite This Article

GÖKMEN, M. S., BİLBAN, M. (2020). Optimization of Internal Combustion Engine Tests with Response Surface Methodology: A Review. Renewable Energy Sources Energy Policy and Energy Management, Cilt: 1 Sayı: 2, 35–41. https://ajindex.com/articles/975380

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