Exploració per tema "Honing machines"

Ara es mostren els items 1-7 de 7

    • Develoment of an inverse model for honing processes by means of neural networks 

      Sivatte Adroer, Mauricio; Llanas Parra, Francesc Xavier; Buj Corral, Irene; Vivancos Calvet, Joan (S. Ekinovic, S. Yalcin, J. Vivancos., 2014)
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      Accés obert
      In a previous paper, artificial neural networks were employed for modelling average roughness Ra in rough honing processes as a function of process variables, namely grain size, density, linear speed, tangential speed ...

    • Improved neural models for roughness in honing processes 

      Sivatte Adroer, Mauricio; Llanas Parra, Francesc Xavier; Buj Corral, Irene (2016)
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      In the present work improved neural network models for average roughness Ra in rough honing processes are studied. Four different adaptive models were tested, which integrate previously obtained direct and indirect models. ...

    • Indirect model for roughness in rough honing processes based on artificial neural networks 

      Sivatte Adroer, Mauricio; Llanas Parra, Francesc Xavier; Buj Corral, Irene; Vivancos Calvet, Joan (2016-01-01)
      Article
      Accés obert
      In the present paper an indirect model based on neural networks is presented for modelling the rough honing process. It allows obtaining values to be set for different process variables (linear speed, tangential speed, ...

    • Neural network model for surface roughness in semifinish honing 

      Sivatte Adroer, Mauricio; Llanas Parra, Francesc Xavier; Buj Corral, Irene; Vivancos Calvet, Joan (2015)
      Text en actes de congrés
      Accés obert
      In the present work, neural networks were used for modelling average roughness Ra as a function of process parameters: grain size, density of abrasive, pressure of honing stones on the workpiece’s surface, linear speed ...

    • Neural network modelling of Abbott-Firestone roughness parameters in honing processes 

      Sivatte Adroer, Mauricio; Buj Corral, Irene; Llanas Parra, Francesc Xavier (2017-12-29)
      Article
      Accés obert
      In present study, three roughness parameters defined in the Abbott-Firestone or bearing area curve, Rk, Rpk and Rvk, were modelled for rough honing processes by means of artificial neural networks (ANN). Input variables ...

    • Selection of a neural network for modelling the honing process 

      Sivatte Adroer, Mauricio; Llanas Parra, Francesc Xavier; Buj Corral, Irene; Vivancos Calvet, Joan (2013)
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      Accés restringit per decisió de l'autor
      Roughness obtained in honing process depends on many different process parameters, such as grain size of abrasive stones, pressure of stones on the workpiece’s surface, density of abrasive, tangential speed of the honing ...

    • Study of alternatives for obtaining statistical correlation models for modelling the rough honing process 

      Buj Corral, Irene; Vivancos Calvet, Joan; Soler Sala, Bernat (S. Ekinovic, S. Yalcin, J. Vivancos., 2014)
      Text en actes de congrés
      Accés obert
      In the present paper, in order to model rough honing operations, statistical regression correlation models are presented for surface roughness and material removal rate as a function of process variables. Several different ...