M. M. Savalani
Papers
1
Total Citations
74
H-Index
1
About
M. M. Savalani is a leading researcher in advanced manufacturing, with a primary focus on wire and arc additive manufacturing (WAAM) and the application of computational intelligence to process optimization. Her work bridges the gap between traditional welding techniques and modern additive manufacturing, particularly in the context of large-scale metallic components. A key contribution is her pioneering use of genetic programming-based models to simulate and predict bead dimensions in WAAM, a critical step for achieving dimensional accuracy and mechanical integrity in printed parts. Her 2016 paper on this topic, which has garnered 74 citations, is widely recognized as a foundational reference in the field, demonstrating how machine learning can replace costly trial-and-error experiments. Beyond this, Savalani has explored the influence of process parameters on material properties, contributing to the development of robust, repeatable WAAM systems. Her work is highly impactful for industries such as aerospace and automotive, where custom, high-strength components are essential. Savalani’s research continues to shape the future of sustainable, large-scale additive manufacturing, making her a key figure for students and researchers interested in the intersection of data-driven modeling and production technology.
Research Focus
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Top Papers
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