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Characterization and Generation of Machined Surfaces
M. UCHIDATE,T. SHIMIZU,A. IWABUCHI 한국트라이볼로지학회 2002 한국트라이볼로지학회 학술대회 Vol.2002 No.10
In this paper, electrical discharge machined (EDM) surfaces machined with various machining parameters are characterized and simulated. Three-dimensional surface topography of EDM surfaces are measured by a stylus instrument. Surface topography is characterized with auto-correlation coefficient and height probability density functions. Then, EDM surfaces are modeled and computer-simulated by using the non-causal 2-D auto-regressive model. Simulation results show that EDM surfaces are characterized well by a few parameters.
M. UCHIDATE,T. SHIMIZU,A. IWABUCHI 한국트라이볼로지학회 2002 한국트라이볼로지학회 학술대회 Vol.2002 No.10
In this paper, the relationship among the 3-D surface topography parameters are studied. Several surface topography parameters that are important in tribology are calculated against various surface topography data. 3-D surface data with desired properties are generated by using the non-causal 2-D auto-regressive (AR) model. The non-causal 2-D AR model is a random 3-D surface topography model that can generate 3-D surface topography data with specified parameters.
GENERATION OF THREE DIMENSIONAL SUREACE TOPOGRAPHY USING NON-CAUSAL TWO DIMENSIONAL AR MODEL
UCHIDATE, M.,SHIMIZU, T.,IWABUCHI, A. ENGINEERING TRIBOLOGY RESEARCH INSTITUTE KYUNGPOOK 2000 INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE OF TRI Vol.2000 No.-
In this paper, a generation procedure of 3-D surface topography data with specified parameters using non-causal 2-D AR(auto-regressive) model is described. The aim of this study is to establish generation procedure of 3-D surface topography for numerical simulations that deal with random surface topography directly and contribute to surface topography design. AR model can express surface topography as linear weighted summation of surface topography itself. Non-causal 2-D AR model is an advanced model of causal 2-D AR model used in previous researches. AR parameters are estimated by algorithm of least squares and height distribution of the surface generated by 2-D AR model is modified by Johnson transformation. Parameters of spectral property and height distribution are required to generate 3-D surface topography. Several sets of 3-D surface topography with specified parameters are generated with the proposed method and evaluated against some surface parameters.
Numerical Simulation of Tribological Phenomena Using Stochastic Models
T. SHIMIZU,M. UCHIDATE,A. IWABUCHI 한국트라이볼로지학회 2002 한국트라이볼로지학회 학술대회 Vol.2002 No.10
Tribological phenomena such as wear or transfer are influenced by various factors and have complicated behavior. Therefore, it is difficult to predict the behavior of the tribological phenomena because of their complexity. But, those tribological phenomena can be considered simply as to transfer micro material particles from the sliding interface. Then, we proposed the numerical simulation method for tribological phenomena such as wear or transfer using stochastic process models. This numerical simulation shows the change of the 3-D surface topography. In this numerical simulation, initial 3-D surface roughness data are generated by the method of non-causal 2-D AR(autoregressive) model. Processes of wear and transfer for some generated initial 3-D surface data are simulated. Simulation results show successfully the change of the 3-D surface topography.