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Department of Mechanical and Systems Engineering Gifu University | 論文
- Development of Fatigue Testing System for in-situ Observation by an Atomic Force Microscope and Small Fatigue Crack Growth Behavior in α-Brass(JSME Medal for Outstanding Paper in 2004)
- Effects of Ambient Condition on Flame Spread over a Thin PMMA Sheet
- B114 Effects of Ambient Condition on Flame Spread over a Thin PMMA Sheet(Solid combustion/incinerator)
- Control against Frost Growth by Electric Field
- Nonequilibrium Rotational Energy Distribution in NH_3 Supersonic Molecular Beam
- Fatigue Crack Growth Behavior in Silicon Nitride under Constant and Variable Amplitude Load Sequences
- Impingement of a Radial Jet with an Annular Jet : Deflection Properties of Main Jet Flow
- 抵抗低減界面活性剤水溶液流れにおける乱流特性と伝熱促進
- Finite Element Simulation of Nonlinear Acoustic Behavior at Minute Cracks Using Singular Element
- A Turbulent Cylindrical Wall Jet Equipped with a Front-Facing Step Impinging Normally on a Flat Plate
- F306 STUDY ON A TURBULENT CYLINDRICAL WALL JET FLOW : FLOW PROPERTIES ON A ROUGH WALL SURFACE(Near-wall turbulence and its control)
- An Experimental Investigation of a Turbulent Cylindrical Wall Jet Equipped with Front-Facing Step : Separation and Reattachment Properties of Wall Jet Flow
- Pump-Probe Spectroscopy for Investigation on Nanosecond IR-Laser Heating of a Polystyrene Film
- TED-AJ03-547 A FEASIBILITY STUDY OF RECIPROCATING-FLOW SUPER-ADIABATIC COMBUSTION ENGINE
- Fretting Fatigue Strength and Life Estimation in Ultra High Cycle Region Considering the Fretting Wear Process(Recent Advances in Materials and Processing (I))
- A Numerical Study of Dynamic Buckling of Thin-Walled Hollow Square Columns Subjected to Axial Impact(Computational Mechanics)
- B317 AUTOTHERMIC REFORMING BY RECIPROCATING-FLOW SUPER-ADIABATIC COMBUSTION IN POROUS MEDIA(Combustor)
- The Laminar Flow in the Developing Region of a Rotating Pipe
- Random Vibrations of a Beam Structure with Elastoplastic Hysteresis : Series C : Vibration, Control Engineering, Engineering for Industry
- Comparison of Feedback Controllers for Feedback-Error-Learning Neural Network Control System with Application to a Flexible Micro-Actuator