Machining and hybrid manufacturing, experimental mechanics, sensing and data-driven modeling, robotics, and funded programs — from finite element simulation to shop-floor collaboration.
Turning, milling, and superalloy processes; residual stress, microhardness, and surface integrity; analytical and finite element modeling validated with experiments.
Combining additive and subtractive routes, laser polishing and on-demand spare-part strategies, and modeling how process choices affect properties and supply risk.
Temperature, forces, and constitutive modeling for difficult-to-machine alloys; inverse identification of material parameters; optimization of parameters for residual stress and tool life.
Tool-condition monitoring with wavelets and sensor fusion, stochastic wear models, and inference under uncertainty for γ′-strengthened alloys.
Industrial robotics coursework and consulting context; linking automation strategy to manufacturing systems and experimental work.
Joint projects with automotive and manufacturing partners (e.g. assembly, flow-drill fastening, energy use in final assembly) alongside academic publishing.
A multi-year 1001 project that structured much of the recent experimental and modeling work in machining and related mechatronics topics, with student participation and dissemination through journals and conferences.
Completed — April 2026Large-scale supervision and industry-facing projects on machining metrology, assembly, and experimentation — bridging OEM needs with academic rigor.
2012–2015Separate from the university lab: start-up leadership on TÜBİTAK-backed programs that applied machine learning and personalization to a self-therapy product, strengthening software and product practice.
2019–ongoing (product)