Krishnamurthy D. Ambiger
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View article: Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels
Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels Open
This study presents an integrated framework combining supervised classification and composition-driven regression modeling for automated phase identification and quantification in steel microstructures. SEM micrographs of three commerciall…
View article: Data-Driven Prediction of Polymer Nanocomposite Tensile Strength Through Gaussian Process Regression and Monte Carlo Simulation with Enhanced Model Reliability
Data-Driven Prediction of Polymer Nanocomposite Tensile Strength Through Gaussian Process Regression and Monte Carlo Simulation with Enhanced Model Reliability Open
This study presents a robust machine learning framework based on Gaussian process regression (GPR) to predict the tensile strength of polymer nanocomposites reinforced with various nanofillers and processed under diverse techniques. A comp…
View article: Influence of gas carburization on the microstructure, mechanical properties, and alloying elements behaviour in plain and alloyed low carbon steels
Influence of gas carburization on the microstructure, mechanical properties, and alloying elements behaviour in plain and alloyed low carbon steels Open
This study investigates the effects of gas carburization on the microstructure, chemical composition, and mechanical properties of EN3, 20MnCr5, and EN353 steels. Carburization, performed through boosting, diffusion, and equalization phase…
View article: Computational Approach for Optimizing Resin Flow Behavior in Resin Transfer Molding with Variations in Injection Pressure, Fiber Permeability, and Resin Sorption
Computational Approach for Optimizing Resin Flow Behavior in Resin Transfer Molding with Variations in Injection Pressure, Fiber Permeability, and Resin Sorption Open
Resin transfer molding (RTM) is a key process for manufacturing high-performance fiber-reinforced composites, in which resin infiltration dynamics play a critical role in process efficiency and defect minimization. This study presents a nu…