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Dive into the research topics where B. Mursec is active.

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Featured researches published by B. Mursec.


Journal of Materials Processing Technology | 2003

Integral model of selection of optimal cutting conditions from different databases of tool makers

B. Mursec; F. Cus

Abstract The contribution suggests some possibilities of the determination of cutting conditions for the cutting process. Flexibility and intelligence are indispensable factors in automation and manufacturing. For such demands, intelligent information systems are required, especially considering the technological date type. The process setting parameters have to be determined in the best suitable way. A central point of technological data are the cutting values feed and speed, especially because of their influence on cost, time, quality and security of the manufacturing process. The rapid development of new advanced materials, tools etc. cause the lack of qualified, actual machining values. The integral model represents integration of individual databases in the tool management system. The integral model of selection of optimal cutting conditions presented in the paper was developed from different databases taking into account the limitations of the cutting process. The optimization depends on the data on the workpiece (e.g. dimensions or the required grade of surface roughness), and also the data on the tool and the machine tool.


Journal of Materials Processing Technology | 2000

Organization of tool supply and determination of cutting conditions

B. Mursec; F. Cus; Jože Balič

Abstract The tool supply system is intended to feed the tools to metal-working machines taking into account the time, quantity, position and target and also the tool removal. As a matter of fact, it represents a subsystem of the superior tool system. For a trouble-free flow the following functions are needed: purchase, arrangement, readiness, pre-setting and maintenance. In this paper, a model is proposed for selection of optimal cutting conditions obtained from different data bases by taking into account the limitations of the cutting process. The developed model selects optimal cutting conditions with respect to the data on the workpiece, such as dimensions and required degree of surface roughness, the data on tool and the data on the machine tool.


Biomass & Bioenergy | 2010

Biogas production from maize hybrids

Matjaz Oslaj; B. Mursec; P. Vindis


Journal of achievements in materials and manufacturing engineering | 2009

The impact of mesophilic and thermophilic anaerobic digestion on biogas production

P. Vindis; B. Mursec; M. Janzekovic; F. Cus


Journal of Materials Processing Technology | 2004

A hybrid analytical-neural network approach to the determination of optimal cutting conditions

Uros Zuperl; F. Cus; B. Mursec; T. Ploj


Journal of Materials Processing Technology | 2006

A generalized neural network model of ball-end milling force system

Uros Zuperl; F. Cus; B. Mursec; T. Ploj


Journal of Materials Processing Technology | 2004

Databases for technological information systems

Franc Čuš; B. Mursec


Journal of achievements in materials and manufacturing engineering | 2009

Mastitis detection based on electric conductivity of milk

M. Janzekovic; M. Brus; B. Mursec; P. Vinis; Denis Stajnko; F. Cus


Journal of achievements in materials and manufacturing engineering | 2008

Biogas production with the use of mini digester

P. Vindis; B. Mursec; C. Rozman; M. Janzekovic; F. Cus


Journal of achievements in materials and manufacturing engineering | 2009

Analysis of different substrates for processing into biogas

B. Mursec; P. Vindis; M. Janzekovic; M. Brus; F. Cus

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F. Cus

University of Maribor

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P. Vindis

University of Maribor

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T. Ploj

University of Maribor

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A. Ploj

University of Maribor

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