Akademik Veri Yönetim Sistemi
13th INTERNATIONAL NEW YORK CONFERENCE ON EVOLVING TRENDS IN INTERDISCIPLINARY RESEARCH & PRACTICES, New York, Amerika Birleşik Devletleri, 15 - 18 Mart 2026, ss.283-297, (Tam Metin Bildiri)
Thrust generation and power requirements of unmanned aerial vehicles (UAVs) under highaltitude and variable environmental conditions constitute fundamental parameters that directly affect flight performance, mission endurance, and operational reliability. However, the high cost of experimental campaigns conducted under such conditions, limited testing capabilities, and the restricted number of measurement points significantly hinder the effective utilization of the obtained data in design and operational processes. In this context, Response Surface Methodology (RSM) offers a powerful modeling and decision-support approach for aerospace applications due to its ability to mathematically represent complex and multivariable system behavior based on a limited number of experimental data points. In the present study, experimental thrust and power data representing high-altitude and varying environmental conditions were transformed into mathematical metamodel equations using an FCCD (Face-Centered Central Composite Design)- based RSM approach. The individual and interaction effects of motor speed and environmental parameters on thrust and power outputs were systematically investigated within the RSM framework, and separate metamodel structures were established for systems with physically distinct characteristics. In this manner, the conventional evaluation approach, which is generally limited to graphical interpretation of experimental results, was extended to obtain closed-form, interpretable, and computationally efficient mathematical expressions with rapid prediction capability. The statistical adequacy and predictive performance of the RSM-based metamodel equations were assessed using standard goodness-of-fit metrics and analysis of variance. The developed models demonstrated high accuracy and consistency. The results indicate that Response Surface Methodology enables reliable and repeatable performance predictions in experimentally challenging aerospace problems such as high-altitude and variable environmental conditions, even when only limited data are available. In this respect, the study highlights the strategic role of RSM in aerospace applications and provides a comprehensive and applicable metamodeling framework for integrating experimental UAV thrust and power performance evaluations into design and operational decision-making processes.