Precision Engineering ​Research Group

Yılmaz Laboratory

About the Research Group

Precision Engineering Research Group consits two distinct laboratories (Tanaka & Yılmaz labs), which investigate mechanics and physics of material surface phenomena at different length scales ranging from the nano to macroscopic scales. Our research activities focus a wide range of topics including tribology (e.g. friction, wear, lubrication), manufacturing  of CFRP materials (e.g. machining and molding/forming - PI Prof. Tanaka*) ​incorporated with CAD・CAE・CAM tools. The group conducts experiments and numerical simulations to translate scientific understanding into novel manufacturing methods & mathematical models.

Surface finishing*

- Analytical study of diamond tip burnishing process
- Development of in-process temperature measurement methodof burnishing by CVD tools

CFRP Machining*

- Optimization of CFRTP turning process
- Evaluation of machinability for CFRP milling process 

Tribology

- Evaluation of micro texturing effects on reduction of friction/wear phenomena

Molding/Forming of CFRP*

- Incremental forming of CFRTP on the basis of 3D-CAD data
- Development of press molding preform design and fabrication method with open-up diagram for CFRP

Micromachining

- Evaluation of utilizing Electrical Discharge Machining to create micro-scale textures on sliding surfaces

Deep Learning

- Development of heat transfer models based on in-house built DL frameworks 

Research Outline

Our modeling and experimental methodology aim to contribute to the advancement of general knowledge in engine tribology & engine/battery cooling systems. An in-house built tribological experimental apparatus along with Computational Fluid Dynamics simulation results are being used for the development of next-generation ICEs (NG-ICEs), which are fueled by ammonia. From the tribological perspective, engine Piston - cylinder Liner Interaction (PLI) accounts for roughly 10% of total mechanical losses in a conventional ICE. By decreasing these losses, created during the reciprocating motion of the piston, NG-ICEs can benefit greatly to further improving their efficiencies, enabling "greener" transportation.
We are also focusing on the effect of surface characteristics on heat transfer enhancement due to nucleate boiling phenomenon by altering bubble generation frequency from a heated surface. Electrical Discharge Machining (EDM) method is being adapted to create functional surfaces that can enhance heat transfer mechanism. The know-how will be used to minimize the size and the weight of the conventional cooling systems for next-generation engines/batteries. 
In addition, utilization of deep learning models is being to further improve our understanding on these topics and further improve the adaptability of these technologies.  

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