Yalin Kiliclar
Papers
1
Total Citations
4
H-Index
1
About
Yalin Kiliclar is a researcher whose work centers on the intersection of robotics, manufacturing, and materials science, with a particular focus on incremental sheet forming processes. His most cited paper, "Increase of the Dimensional Accuracy of Sheet Metal Parts Utilizing a Model-Based Path Planning for Robot-Based Incremental Forming" (2012), addresses a critical challenge in flexible manufacturing: improving the precision of robot-formed metal components. By developing a model-based path planning strategy, Kiliclar demonstrated how computational simulations can guide robotic toolpaths to reduce geometric deviations, enhancing the viability of incremental forming for industrial applications. This contribution, though garnering 4 citations, reflects a targeted effort to bridge the gap between theoretical forming models and practical robotic execution. His work is notable for its emphasis on dimensional accuracy—a key barrier to the adoption of incremental forming in sectors like aerospace and automotive prototyping. Kiliclar’s research underscores the potential of combining advanced robotics with predictive modeling to achieve cost-effective, high-precision sheet metal fabrication, offering valuable insights for engineers and researchers advancing flexible manufacturing technologies.
Research Focus
Key Achievements
Top Papers
- 1