Swetha Danthala
Papers
1
Total Citations
3
H-Index
1
About
Swetha Danthala is a researcher focused on manufacturing process optimization, with a particular emphasis on robotic spray painting systems. Her work addresses the critical challenge of improving quality and productivity in industrial painting applications, which are widely used in the automotive and home appliance sectors. Danthala’s key contribution lies in developing a multi-objective optimization framework that integrates a modified Taguchi approach to specify optimal process parameters for robot spray painting. This methodology systematically balances competing objectives—such as paint thickness, uniformity, and material usage—to enhance finish quality while reducing labor and environmental waste. Her 2021 paper on this topic has garnered 3 citations, reflecting its relevance to practitioners seeking data-driven solutions for cleaner, more efficient manufacturing. By providing a structured method to fine-tune variables like spray distance, speed, and pressure, Danthala’s research helps industries minimize costs and defects without compromising output. Her work stands as a practical guide for engineers aiming to leverage automation for superior surface finishing, making her a valuable contributor to the field of industrial robotics and sustainable manufacturing.
Research Focus
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Top Papers
- 1