Development of single pass drilling technology through investigations in drilling burr elimination

Issued as final reportLockheed Marti

Micro-machinability of A-286 Steel with and without Laser Assist☆

Abstract Machinability of high nickel content steels (e.g. stainless) is known to be challenging. This paper presents an experimental study of the micro-machinability of A-286 (∼43 HRC), a precipitation-hardened high nickel content steel. Micro milling experiments are carried out under dry, wet, and laser-assisted conditions, and the resulting surface morphology, burr, part feature depth, tool wear, and cutting forces are analyzed. It is found that laser-assist consistently yields the best results characterized by minimal chip adhesion to the workpiece surface, low cutting forces, good feature depth accuracy, low tool wear, and acceptable burrs

Design and manufacture of helical tissue support for surgical correction of age-related macular degeneration

Issued as final reportEmtech Biotechnology Developmen

Advances in material and friction data for modelling of metal machining

This paper reviews recent advances in constitutive and friction data and models for simulation of metal machining. Phenomenological and physically-based constitutive models commonly used in machining simulations are presented and discussed. Other topics include experimental techniques for acquiring data necessary to identify the constitutive model parameters, and recent advances in modelling of tool-workpiece friction and experimental techniques to acquire friction data under machining conditions. Additionally, thermo-physical properties for thermal modelling of the machining process, and microstructure data for the chip and workpiece together with relevant experimental methods are discussed. Future research needs in each of the focused areas are highlighted

Robots in machining

Robotic machining centers offer diverse advantages: large operation reach with large reorientation capability, and a low cost, to name a few. Many challenges have slowed down the adoption or sometimes inhibited the use of robots for machining tasks. This paper deals with the current usage and status of robots in machining, as well as the necessary modelling and identification for enabling optimization, process planning and process control. Recent research addressing deburring, milling, incremental forming, polishing or thin wall machining is presented. We discuss various processes in which robots need to deal with significant process forces while fulfilling their machining task

Modeling of size-effect in micro-cutting process using strain gradient plasticity

Issued as final reportNational Science Foundatio

Project between the Georgia Institute of Technology and the University of Illinois on the tribology and fixturing of machined parts

Issued as final repor