The analysis of the effects of surface texture on the capability of load carriage of journal bearings using neural network

Neural Networks Tool Condition Monitoring in Single-point Dressing Operations

D'ADDONA, DORIANA MARILENA
MATARAZZO, DAVIDE
de Aguiar, Paulo R.
Bianchi, Eduardo C.
Martins, Cesar H. R.

January 2016

Cognitive modeling of tool wear progress is employed to obtain a dependable trend of tool wear curve...

Neural networks tool condition monitoring in single-point dressing operations

D'Addona, D.M.
Matarazzo, D.
De Aguiar, P.R.
Bianchi, E.C.
Martins, C.H.R.

January 2016

Cognitive modeling of tool wear progress is employed to obtain a dependable trend of tool wear curve...

Design predictive tool and optimization of journal bearing using neural network model and multi-objective genetic algorithm

Ghorbanian, J.
Ahmadi, M.
Soltani, R.

October 2011

AbstractIn this paper, rapid and globally convergent predictive tool for dynamically loaded journal ...

Design of neural model for analysing journal bearings considering effects of transverse and longitudinal profile

Sinanoglu, Cem

January 2009

Purpose - The purpose of this paper is to study the effects of shaft surface profiles on the load ca...

Effects of shaft surface texture on journal bearing pressure distribution

Nair, Fehmi
Karamis, Mehmet Baki
Sinanoglu, Cem

September 2005

This paper presents an analysis of the pressure development of journal bearing in a various shaft su...

The analysis of the effects of surface roughness of shafts on journal bearings using recurrent hybrid neural network

Sinanoglu, Cem

January 2004

This paper presents an investigation for analysing the load carrying capacity of journal bearing in ...

The analysis of effects of shaft surface porosity on journal bearing using experimental and neural network approach

Sinanoglu, Cem

January 2006

Purpose - The purpose of this paper is to investigate pressure distribution of the journal bearings ...

Analysis of pressure variations on journal bearing system using artificial neural network

Sinanoglu, Cem
Kurban, Ali Osman
Yildirim, S

January 2004

This paper investigates the pressure variations on the steel shafts on the journal bearing system wi...

Determination of Friction Coefficient at Journal Bearings by Experimental and by Means of Artificial Neural Networks Method

Bekir Ünlü

December 2004

Knowing friction coefficient is important for determination of wear loss conditions at journal beari...

NEURAL NETWORKS BASED STUDY OF FRICTION COEFFICIENT VARIATION IN SLIDING BEARINGS

Engineering Systems (dipre
Adolfo Senatore
Ro Ruggiero
Vasile Palade
Sorin Ciortan

January 2007

The paper presents the possibility of using the neural networks approach for the analysis of frictio...

INVESTIGATION OF EFFECT OF SHAFT TEXTURE ON THE PERFORMANCE OF JOURNAL BEARING

Vikas Panchal1 & Zankhan Sonara2

June 2018

Journal bearing consists of a shaft or journal which rotates freely in a supporting metal called sle...

Force analysis of bearings on a modified mechanism using proposed recurrent hybrid neural networks

Kalkat, Menderes
ESKİ, Ikbal
YILDIRIM, Şahin

July 2008

Due to different load conditions on four-bar mechanisms, it is necessary to analyze force distributi...

Neural network analysis of leakage oil quantity in the design of partially hydrostatic slipper bearings

SINANOGLU, Cem
Canbulut, Fazıl
YILDIRIM, ŞAHİN

January 2004

This paper presents an investigation for analyzing the efficiency of axial piston pumps in a variety...

INDUSTRIAL LUBRICATION AND TRIBOLOGY

Unlu, BS

January 2012

Purpose - It is important to know the friction coefficient and wear loss for determination of tribol...

Design of artificial neural network model for analysing of a self-acting parallel surface thrust bearing

Eski, Ikbal
Kurban, A. Osman
Yildirim, Sahin

January 2007

Purpose - To analyse a self-acting parallel surface thrust bearing using a proposed feedforward neur...

Neural Networks Tool Condition Monitoring in Single-point Dressing Operations

D'ADDONA, DORIANA MARILENA
MATARAZZO, DAVIDE
de Aguiar, Paulo R.
Bianchi, Eduardo C.
Martins, Cesar H. R.

January 2016

Cognitive modeling of tool wear progress is employed to obtain a dependable trend of tool wear curve...

Neural networks tool condition monitoring in single-point dressing operations

D'Addona, D.M.
Matarazzo, D.
De Aguiar, P.R.
Bianchi, E.C.
Martins, C.H.R.

January 2016

Cognitive modeling of tool wear progress is employed to obtain a dependable trend of tool wear curve...

Design predictive tool and optimization of journal bearing using neural network model and multi-objective genetic algorithm

Ghorbanian, J.
Ahmadi, M.
Soltani, R.

October 2011

AbstractIn this paper, rapid and globally convergent predictive tool for dynamically loaded journal ...

Design of neural model for analysing journal bearings considering effects of transverse and longitudinal profile

Sinanoglu, Cem

January 2009

Purpose - The purpose of this paper is to study the effects of shaft surface profiles on the load ca...

Effects of shaft surface texture on journal bearing pressure distribution

Nair, Fehmi
Karamis, Mehmet Baki
Sinanoglu, Cem

September 2005

This paper presents an analysis of the pressure development of journal bearing in a various shaft su...

The analysis of the effects of surface roughness of shafts on journal bearings using recurrent hybrid neural network

Sinanoglu, Cem

January 2004

This paper presents an investigation for analysing the load carrying capacity of journal bearing in ...

The analysis of effects of shaft surface porosity on journal bearing using experimental and neural network approach

Sinanoglu, Cem

January 2006

Purpose - The purpose of this paper is to investigate pressure distribution of the journal bearings ...

Analysis of pressure variations on journal bearing system using artificial neural network

Sinanoglu, Cem
Kurban, Ali Osman
Yildirim, S

January 2004

This paper investigates the pressure variations on the steel shafts on the journal bearing system wi...

Determination of Friction Coefficient at Journal Bearings by Experimental and by Means of Artificial Neural Networks Method

Bekir Ünlü

December 2004

Knowing friction coefficient is important for determination of wear loss conditions at journal beari...

NEURAL NETWORKS BASED STUDY OF FRICTION COEFFICIENT VARIATION IN SLIDING BEARINGS

Engineering Systems (dipre
Adolfo Senatore
Ro Ruggiero
Vasile Palade
Sorin Ciortan

January 2007

The paper presents the possibility of using the neural networks approach for the analysis of frictio...

INVESTIGATION OF EFFECT OF SHAFT TEXTURE ON THE PERFORMANCE OF JOURNAL BEARING

Vikas Panchal1 & Zankhan Sonara2

June 2018

Journal bearing consists of a shaft or journal which rotates freely in a supporting metal called sle...

Force analysis of bearings on a modified mechanism using proposed recurrent hybrid neural networks

Kalkat, Menderes
ESKİ, Ikbal
YILDIRIM, Şahin

July 2008

Due to different load conditions on four-bar mechanisms, it is necessary to analyze force distributi...

Neural network analysis of leakage oil quantity in the design of partially hydrostatic slipper bearings

SINANOGLU, Cem
Canbulut, Fazıl
YILDIRIM, ŞAHİN

January 2004

This paper presents an investigation for analyzing the efficiency of axial piston pumps in a variety...

INDUSTRIAL LUBRICATION AND TRIBOLOGY

Unlu, BS

January 2012

Purpose - It is important to know the friction coefficient and wear loss for determination of tribol...

Design of artificial neural network model for analysing of a self-acting parallel surface thrust bearing

Eski, Ikbal
Kurban, A. Osman
Yildirim, Sahin

January 2007

Purpose - To analyse a self-acting parallel surface thrust bearing using a proposed feedforward neur...

Neural Networks Tool Condition Monitoring in Single-point Dressing Operations

D'ADDONA, DORIANA MARILENA
MATARAZZO, DAVIDE
de Aguiar, Paulo R.
Bianchi, Eduardo C.
Martins, Cesar H. R.

January 2016

Cognitive modeling of tool wear progress is employed to obtain a dependable trend of tool wear curve...

Neural networks tool condition monitoring in single-point dressing operations

D'Addona, D.M.
Matarazzo, D.
De Aguiar, P.R.
Bianchi, E.C.
Martins, C.H.R.

January 2016

Cognitive modeling of tool wear progress is employed to obtain a dependable trend of tool wear curve...

Design predictive tool and optimization of journal bearing using neural network model and multi-objective genetic algorithm

Ghorbanian, J.
Ahmadi, M.
Soltani, R.

October 2011

AbstractIn this paper, rapid and globally convergent predictive tool for dynamically loaded journal ...

The analysis of the effects of surface texture on the capability of load carriage of journal bearings using neural network

Abstract

Extracted data

The analysis of the effects of surface texture on the capability of load carriage of journal bearings using neural network

Abstract

Extracted data

Related items

Related items