Key research themes
1. How can computational optimization improve multi-axis tool path generation to enhance machining accuracy and efficiency?
This research area focuses on developing and analyzing algorithms for optimizing tool paths in multi-axis machining, particularly five-axis milling. The aim is to minimize machining errors such as undercut and overcut, improve kinematic and setup parameters, and enhance overall process performance while considering machine capability constraints. This focus is vital as complex geometries and precision requirements become increasingly prevalent in manufacturing industries like aerospace and automotive.
2. What algorithmic approaches support optimal sequencing of drilling tool paths to minimize non-productive airtime and machining time?
This theme investigates algorithmic solutions to the tool path sequencing problem in drilling operations, which historically suffer from significant non-productive tool movement (airtime). Research progresses from classical combinatorial optimization methods such as Traveling Salesman Problem (TSP) solvers to novel heuristics explicitly developed for collision avoidance and efficient path planning in complex geometries, directly impacting machining time and cost reduction.
3. How does tool geometry influence material flow and surface quality in friction stir welding (FSW) and complex surface machining?
This research domain examines how the geometrical features of cutting tools and welding pins affect material behavior during machining and joining processes. Understanding the relationship between tool shape, such as pin profile and shoulder design, and physical phenomena like material flow or tool-workpiece interaction is crucial to optimizing surface finish, joint quality, and machining efficiency for advanced manufacturing applications.