Enkhsaikhan Boldsaikhan
Wichita State University, South Dakota School of Mines and Technology
Papers
11
Total Citations
135
H-Index
6
About
Enkhsaikhan Boldsaikhan is a versatile engineering researcher whose work spans advanced manufacturing, robotics, and smart automation systems. Best known for his pioneering contributions to Refill Friction Stir Spot Welding (RFSSW) technology, Boldsaikhan has significantly advanced solid-state joining methods for aerospace aluminum alloys, demonstrating how this rivet-replacement approach creates superior molecular-level bonds without foreign materials or consumables. His most-cited work (45 citations) examines RFSSW with surface-treated aerospace alloys using faying-surface sealants, while subsequent studies have explored weld spacing, edge margins, and sheet metal distortion — collectively establishing a robust body of knowledge critical to next-generation aircraft manufacturing. Beyond welding, Boldsaikhan has broadened his research into robotics and intelligent systems. His widely read review of soft robot design challenges (28 citations) highlights emerging opportunities in smart factory automation, complemented by work on robot joint axis measurement, vibration-based damage detection using deep learning, dexterous grasping, and finite element-driven workspace estimation for soft robots. This interdisciplinary range reflects a researcher equally at home in precision fabrication and cutting-edge automation. With over 130 cumulative citations across a decade of publications, Boldsaikhan continues bridging traditional aerospace manufacturing with the frontier of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Soft Robot Design, Manufacturing, and Operation Challenges: A Review28 citations · 2024
- 3Refill Friction Stir Spot Joining Rivet Replacement Technology14 citations · 2016
- 4Measuring and Estimating Rotary Joint Axes of an Articulated Robot13 citations · 2020
- 5
- 6Robot arm damage detection using vibration data and deep learning9 citations · 2023
- 7
- 8
- 9
- 10Knowledge-Augmented Dexterous Grasping with Incomplete Sensing2 citations · 2020