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Journals / Black Sea Journal of Engineering and Science / 2026 / Cilt: 8 Sayı: 5

Design and Development of Topologically Optimized Early Fire Detection Mobile Robot

Hilmi Saygın Sucuoğlu(AYDIN ADNAN MENDERES ÜNİVERSİTESİ)0000-0002-2136-6015
Pages
1605–1616
Publication Date
2025-09-15
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AI Summary & Key Takeaways

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

Topology optimization was applied to reduce the overall weight and energy consumption of the system.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the comprehensive design, development, topology optimization, and power analysis of a mobile early fire detection robot were conducted.
📊
Key Findings & Data:Electronic hardware-including RGB and thermal cameras, Raspberry Pi, and motor drivers-was selected, and corresponding mounting parts were designed to integrate the components into the structure.
💡
Conclusion & Impact:Topology optimization was applied to reduce the overall weight and energy consumption of the system.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:CAD-based fire detection robot · Computer-aided engineering · Energy-efficient mobile robot

Abstract

In this study, the comprehensive design, development, topology optimization, and power analysis of a mobile early fire detection robot were conducted. All subcomponents and the full assembly model were created using computer-aided design (CAD) tools. Electronic hardware-including RGB and thermal cameras, Raspberry Pi, and motor drivers-was selected, and corresponding mounting parts were designed to integrate the components into the structure. Finite element analyses (FEA) were performed to evaluate structural strength and stability. Topology optimization was applied to reduce the overall weight and energy consumption of the system. A specialized power analysis tool was developed to compare the energy usage of the non-optimized and optimized designs. The FEA and power analysis results confirmed that the optimized structure achieved a 25% weight reduction and an 11% decrease in energy consumption, demonstrating improved efficiency in the mobile fire detection robot.

Özet

In this study, the comprehensive design, development, topology optimization, and power analysis of a mobile early fire detection robot were conducted. All subcomponents and the full assembly model were created using computer-aided design (CAD) tools. Electronic hardware-including RGB and thermal cameras, Raspberry Pi, and motor drivers-was selected, and corresponding mounting parts were designed to integrate the components into the structure. Finite element analyses (FEA) were performed to evaluate structural strength and stability. Topology optimization was applied to reduce the overall weight and energy consumption of the system. A specialized power analysis tool was developed to compare the energy usage of the non-optimized and optimized designs. The FEA and power analysis results confirmed that the optimized structure achieved a 25% weight reduction and an 11% decrease in energy consumption, demonstrating improved efficiency in the mobile fire detection robot.

🔖

Cite This Article

Sucuoğlu, H. S. (2025). Design and Development of Topologically Optimized Early Fire Detection Mobile Robot. Black Sea Journal of Engineering and Science, Cilt: 8 Sayı: 5, 1605–1616. https://doi.org/10.34248/bsengineering.1710797

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