Peter Krajnik
Peter Krajnik leads the Manufacturing Technology research group. His research focus is on modeling and optimization of manufacturing processes; with specialization in grinding technology. As a Professor of Manufacturing Technology, he also serves as a director of the Chalmers Centre for Metal Cutting Research (MCR), and a director of graduate studies in manufacturing technology. He is an elected associate member of the International Academy for Production Engineering (CIRP).
Showing 55 publications
On mechanics and monitoring of plunge-roll rotary dressing of grinding wheels
Grinding of Cemented Carbide Using a Vitrified Diamond Pin and Lubricated Liquid Carbon Dioxide
Mechanics of self-rotating double-disc grinding process
Influence of batch-to-batch material variations on grindability of a medium‑carbon steel
Investigation of the surface integrity of mechano-chemically finished powder metallurgy gears
A lapping-based test method to investigate wear behaviour of bonded-abrasive tools
Post-processing of additively manufactured metallic alloys – A review
Verification of electric steel punching simulation results using microhardness
The role of specific energy in micro-grinding of titanium alloy
Modeling of micro-grinding forces considering dressing parameters and tool deflection
Grinding and fine finishing of future automotive powertrain components
Application of the dimensionless Aggressiveness number in abrasive processes
The effects of liquid-CO
On geometry and kinematics of abrasive processes: The theory of aggressiveness
Tribology of solid-lubricated liquid carbon dioxide assisted machining
Effect of the grit shape on the performance of vitrified-bonded CBN grinding wheel
Surface integrity in micro-grinding of Ti6Al4V considering the specific micro-grinding energy
Physics-based approach for predicting dissolution‒diffusion tool wear in machining
A new constitutive model for cutting simulation of 316L austenitic stainless steel
A novel cryogenic machining concept based on a lubricated liquid carbon dioxide
Characterization of abrasion- and dissolution-induced tool wear in machining
Cooling capability of liquid nitrogen and carbon dioxide in cryogenic milling
Magnesium alloy-silicon carbide composite fabrication using chips waste
Method of grinding a workpiece and method for determining processing parameters
The effect of dressing parameters on micro-grinding of titanium alloy
Truing of diamond wheels - Geometry, kinematics and removal mechanisms
Lubrication and cooling device and a method for lubricating and cooling a workpiece
Temperature-based method for determination of feed increments in crankshaft grinding
Effect of cryogenic cooling and tool wear on surface integrity of turned Ti-6Al-4V
Modeling of the micro-grinding process considering the grinding tool topography
Recent developments in grinding machines
Wheel lift-off in creep-feed grinding: thermal damage, power surge, chip thickness and optimisation
Superabrasive applications in grinding of crankshafts: A review
Modeling of the micro-grinding process considering the grinding tool topography
Cryogenic machining and cooling capabilities when applying liquefied nitrogen to the machining zone
Abrasive fine-finishing technology
A methodology for the evaluation of CBN abrasive grits
Grinding of cermets with cup-wheels
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Showing 12 research projects
Condition monitoring system for metalworking fluids
Hybrid learning paths for professional education in manufacturing (PATHFINDER)
Industrial Water in the Automotive Industry
A new solution for performance and light weight of Electric Vehicle transmission gears
Transitioning to a waste-free production – international cryogenic+MQL machining activity
Green manufacturing: Creating high strenght metal matrix structures-II (HybridSurd-II)
Friction control through surface texturing (FriText)
Green manufacturing: Creating high strength metal matrix structures (HYBRIDSURF)
Sustainable manufacturing through processing with cryogen technology (SUSTAIN-CRYO)
Grindability of recycled steel: automotive crankshafts
A framework for the physics-based estimation of tool wear in machining process