Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Franci Cus"'
Publikováno v:
Proceeding of Flexible Automation and Integrated Manufacturing 1998.
Autor:
Joze Balic, Franci Cus
Publikováno v:
Proceeding of Flexible Automation and Integrated Manufacturing 1999.
Publikováno v:
Transactions of FAMENA
Volume 43
Issue 2
Volume 43
Issue 2
This paper presents a smart energy consumption monitoring platform for machining processes with a unique electrical energy consumption indicator (EECI) for the evaluation and comparison of machining processes in terms of energy efficiency. The purpos
Autor:
Franci Cus, Uroš Župerl
Publikováno v:
Strojniški vestnik
The main focus of this paper is to describe the structure of the cyber-physical machining system developed for on-line surface roughness monitoring via cutting chip size control in end-milling. The two level cyber- physical machining system is realiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f1d35afe6bc42a1d8c27718a3ad75df
http://www.dlib.si/details/URN:NBN:SI:doc-RA0HMPHL
http://www.dlib.si/details/URN:NBN:SI:doc-RA0HMPHL
Autor:
Franci Cus, Tomaz Irgolic
Publikováno v:
Applied Mechanics and Materials. 474:327-332
Professional paper shows the general characteristics of graded materials, their previous industrial use and potential use of graded materials in the future. In any case, today the use of graded materials is increasing and moving from the laboratory e
Autor:
U. Zuperl, Franci Cus
Publikováno v:
Key Engineering Materials. 581:511-516
In this paper, optimization system based on the artificial neural networks (ANN) and particle swarm optimization (PSO) algorithm was developed for the optimization of machining parameters for turning operation. The optimization system integrates the
Publikováno v:
Strojniški vestnik
This paper outlines the experimental exploration of cutting forces produced during ball-end milling of multi-layered metal materials manufactured by the laser engineered net shaping (LENS) process. The research employs an artificial neural network (A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3c9fc439874fa5aa162555e5b1efd1f
http://www.dlib.si/details/URN:NBN:SI:doc-VSL69URS
http://www.dlib.si/details/URN:NBN:SI:doc-VSL69URS
Autor:
U. Zuperl, Franci Cus
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 26:105-123
SUMMARY Based on hybrid process modeling, off-line optimization and neural control scheme (NCS), the combined system for off-line optimization and adaptive adjustment of cutting parameters is built. This is an adaptive control system controlling the
Autor:
Uroš Župerl, Franci Cus
Publikováno v:
Strojniški vestnik
The aim of this paper is to present a surface roughness control in turning with an associated simulation block diagram. The objective of the new model based controller is to assure the desired surface roughness by adjusting the machining parameters a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9d13e6b39b2d36b7b102d5b1f72527a
http://www.dlib.si/details/URN:NBN:SI:doc-9DUGF4FA
http://www.dlib.si/details/URN:NBN:SI:doc-9DUGF4FA
Autor:
Franci Cus, U. Zuperl
Publikováno v:
Journal of Materials Processing Technology. 173:281-290
Optimum selection of cutting conditions importantly contribute to the increase of productivity and the reduction of costs, therefore utmost attention is paid to this problem in this contribution. In this paper, a neural network-based approach to comp