Research ArticleOpen accessIn the author namesAnalyzing Temperature-Dependent Thermal Properties of Biomaterials Using Machine Learning MethodsArmaghan Shalbaftabar, Kristen Rhinehardt, Dhananjay KumarThis research utilizes machine learning models ANN, Random Forest, and Decision Tree to predict material properties of Ti-based biomaterials, including Young’s modulus, density, thermal conductivity, and specific heat at various temperatures. Data was sourced using web scraping and Plot Digitizer, validated against literature, and analyzed in Excel. The ANN model achieved strong performance, with R² = 0.980874 for TiAl and … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 12 Sep 2025 · 4,634 accessesView PDFCite
Research ArticleOpen accessIn the author namesAnalyzing Temperature-Dependent Thermal Properties of Titanium Aluminide Using ANN Predictive ModelingArmaghan Shalbaftabar, Kristen Rhinehardt, Dhananjay KumarThis study presents a comprehensive analysis of the thermal behavior of Titanium Aluminide (TiAl) across a range of temperatures using an Artificial Neural Network (ANN) predictive model. The study investigates various material properties of TiAl, including Band Gap, Young Module, Density, Energy Absorption, Thermal Conductivity, and Specific Heat, at different temperature points. The ANN model accurately captures the temperature-dependent trends … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 4 · 20 Nov 2024 · 4,308 accessesView PDFCite
Review ArticleOpen accessIn the author namesA Review on Electric Traction using WE SystemAnurag Dwivedi, Dhananjay Kumar, Nitesh TiwariIn this analysis, the recent trend the generated renewable source energy (like wind energy) utilized the traction system. Present a limited conventional source. Environment pollution by the burning of diesel fuel will be increased. And the using wind energy source controls the pollution and efficiency will be increased. In this process, the wind energy system is connected to the network … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 6 May 2019 · 6,716 accessesView PDFCite