TR
EN
Design and Development of Topologically Optimized Early Fire Detection 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.
Keywords
Ethical Statement
Ethics committee approval was not required for this study because there was no study on animals or humans.
References
- Abdusalomov A, Baratov N, Kutlimuratov A, Whangbo TK. 2021. An improvement of the fire detection and classification method using YOLOv3 for surveillance systems. Sensors, 21(19): 6519.
- Ahn Y, Choi H, Kim BS. 2023. Development of early fire detection model for buildings using computer vision-based CCTV. J Build Eng, 65: 105647.
- Barbieri L, Muzzupappa M. 2022. Performance-driven engineering design approaches based on generative design and topology optimization tools: a comparative study. Appl Sci. 12(4): 2106.
- Biswas A, Ghosh SK, Ghosh A. 2023. Early fire detection and alert system using modified inception-v3 under deep learning framework. Procedia Comput Sci, 218: 2243–2252.
- Cavazzuti M, Baldini A, Bertocchi E, Costi D, Torricelli E, Moruzzi P. 2020. High performance automotive chassis design: a topology optimization-based approach. Struct Multidiscip Optim, 62: 45–56.
- Demir N, Sucuoglu HS, Bogrekci I, Demircioglu P. 2021. Structural & dynamic analyses and simulation of mobile transportation robot. Int J 3D Print Technol Digit Ind, 5(3): 587–595.
- Demir N, Sucuoglu HS, Bogrekci I, Demircioglu P. 2021. Topology optimization of mobile transportation robot. Int J 3D Print Technol Digit Ind, 5(2): 210–219.
- Di Biase V, Laneve G. 2018. Geostationary sensor based forest fire detection and monitoring: An improved version of the SFIDE algorithm. Remote Sens, 10(5): 741.
Details
Primary Language
English
Subjects
Optimization Techniques in Mechanical Engineering, Machine Design and Machine Equipment, CAD/CAM Systems
Journal Section
Research Article
Authors
Early Pub Date
September 11, 2025
Publication Date
September 15, 2025
Submission Date
May 31, 2025
Acceptance Date
September 9, 2025
Published in Issue
Year 2025 Volume: 8 Number: 5
APA
Sucuoğlu, H. S. (2025). Design and Development of Topologically Optimized Early Fire Detection Mobile Robot. Black Sea Journal of Engineering and Science, 8(5), 1605-1616. https://doi.org/10.34248/bsengineering.1710797
AMA
1.Sucuoğlu HS. Design and Development of Topologically Optimized Early Fire Detection Mobile Robot. BSJ Eng. Sci. 2025;8(5):1605-1616. doi:10.34248/bsengineering.1710797
Chicago
Sucuoğlu, Hilmi Saygın. 2025. “Design and Development of Topologically Optimized Early Fire Detection Mobile Robot”. Black Sea Journal of Engineering and Science 8 (5): 1605-16. https://doi.org/10.34248/bsengineering.1710797.
EndNote
Sucuoğlu HS (September 1, 2025) Design and Development of Topologically Optimized Early Fire Detection Mobile Robot. Black Sea Journal of Engineering and Science 8 5 1605–1616.
IEEE
[1]H. S. Sucuoğlu, “Design and Development of Topologically Optimized Early Fire Detection Mobile Robot”, BSJ Eng. Sci., vol. 8, no. 5, pp. 1605–1616, Sept. 2025, doi: 10.34248/bsengineering.1710797.
ISNAD
Sucuoğlu, Hilmi Saygın. “Design and Development of Topologically Optimized Early Fire Detection Mobile Robot”. Black Sea Journal of Engineering and Science 8/5 (September 1, 2025): 1605-1616. https://doi.org/10.34248/bsengineering.1710797.
JAMA
1.Sucuoğlu HS. Design and Development of Topologically Optimized Early Fire Detection Mobile Robot. BSJ Eng. Sci. 2025;8:1605–1616.
MLA
Sucuoğlu, Hilmi Saygın. “Design and Development of Topologically Optimized Early Fire Detection Mobile Robot”. Black Sea Journal of Engineering and Science, vol. 8, no. 5, Sept. 2025, pp. 1605-16, doi:10.34248/bsengineering.1710797.
Vancouver
1.Hilmi Saygın Sucuoğlu. Design and Development of Topologically Optimized Early Fire Detection Mobile Robot. BSJ Eng. Sci. 2025 Sep. 1;8(5):1605-16. doi:10.34248/bsengineering.1710797