TY  - JOUR
T1  - Design and Development of Topologically Optimized Early Fire Detection Mobile Robot
TT  - Design and Development of Topologically Optimized Early Fire Detection Mobile Robot
AU  - Sucuoğlu, Hilmi Saygın
PY  - 2025
DA  - September
Y2  - 2025
DO  - 10.34248/bsengineering.1710797
JF  - Black Sea Journal of Engineering and Science
JO  - BSJ Eng. Sci.
PB  - Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi
WT  - DergiPark
SN  - 2619-8991
SP  - 1605
EP  - 1616
VL  - 8
IS  - 5
LA  - en
AB  - 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.
KW  - CAD-based fire detection robot
KW  - Computer-aided engineering
KW  - Energy-efficient mobile robot
KW  - Finite element analysis
KW  - Power analysis
KW  - Topology optimization
N2  - 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.
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UR  - https://doi.org/10.34248/bsengineering.1710797
L1  - https://dergipark.org.tr/en/download/article-file/4921868
ER  -