B. N. Sreeharan
Papers
1
Total Citations
6
H-Index
1
About
B. N. Sreeharan is a researcher focused on advancing manufacturing process optimization, particularly in the domain of welding technology. Their primary research area centers on the application of computational intelligence techniques—specifically genetic and memetic algorithms—to enhance the efficiency and quality of industrial welding processes. Sreeharan’s most notable contribution is the seminal work "Optimization of Flux Cored Arc Welding Process Parameter Using Genetic and Memetic Algorithms" (2013), which has garnered 6 citations. This study addresses a critical industrial challenge: the need to precisely control welding parameters to improve bond strength and reduce defects in metal fabrication. By demonstrating how evolutionary algorithms can systematically optimize process variables, Sreeharan provided a practical framework that bridges theoretical optimization methods with real-world manufacturing applications. Their work has implications for reducing material waste and energy consumption in production environments. While their citation count reflects a focused, emerging impact, Sreeharan’s research represents a valuable step toward smarter, data-driven manufacturing—a field of growing importance as industries seek to automate and refine complex production processes.
Research Focus
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