SVIBOR - Papers - project code: 2-08-018

MINISTRY OF SCIENCE AND TECHNOLOGY

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SVIBOR

SVIBOR - Collecting Data on Projects in Croatia


Published papers on project 2-08-018


Quoted papers: 0
Other papers: 12
Total: 12


  1. Type of paper: Paper in journal

    Title: Face Turning on CNC Lathe

    Authors:
    Kuljanić, Elso (24585)
    Journal: Annals of the CIRP
    Number: 1
    ISSN: 3-905
    Volume: 40
    Year: 1991
    Pages: from 53 to 56
    Number of references: 5
    Language: engleski
    Summary: This paper presents the results of a research on face turning onCNC lathes at constant cutting speed and at constant spindlerevolutions. In both cases the surface roughness is examined byusing different machine tools, with different tools, and atdifferent cutting conditions. A comparison is made of cuttingtimes in face turning at constant cutting speed and at constantspindle revolutions. Furthermore, this paper deals with acomparison of tool wear, tool life, the area of machined surfaceand the chip form obtained at constant cutting speed and atconstant spindle revolutions. The cutting time is shorter byapproximately 45% when face turning is done at constant cuttingspeed.
    Keywords: Cutting, Face turning, CNC lathes, Productivity increase, Tool life, Surface roughness.

  2. Type of paper: Paper in journal

    Title: Macro Plastic Deformation of Cutting Edge - A Method for Maximum Utilization of Cutting Tool

    Authors:
    Kuljanić, Elso (24585)
    Journal: Annals of the CIRP
    Number: 1
    ISSN: 3-905
    Volume: 41
    Year: 1992
    Pages: from 151 to 154
    Number of references: 6
    Language: engleski
    Summary: This paper investigates the macro plastic deformation of thecutting edge and the material near the cutting edge in roughturning. It was found that the macro plastic deformation takesplace approximately three seconds after the start of cutting,when the single point cutting tool is not able to cut properly,the surface roughness of the machined surface increases andvibrations appear. A method for maximum utilization of singlepoint cutting tool and tool selection for rough turning, groovingetc. by using the information about the macro plastic deformationof the cutting edge are proposed. Both the way of measuring themacro plastic deformation and how the macro plastic deformationcan be detected by means of feed cutting force is presented.Acoustic emission sensors or sensors systems could be used fordetecting the macro plastic deformation of the cutting edge.
    Keywords: Plastic deformation, Sensors, Turning, Tool wear, Productivity increase, Surface roughness, Cutting force.

  3. Type of paper: Paper in journal

    Title: Solutions for Machinability

    Authors:
    Kuljanić, Elso (24585)
    Journal: Meccanica
    Number: 1
    Volume: 14
    Year: 1991
    Pages: from 42 to 47
    Number of references: 17
    Language: talijanski
    Summary: Quantitative machinability models which include a process physics description - Taylor's equation, new tool life equation etc. -are more suitable and reliable than qualitative machinabilitymodels for advanced machining systems, i.e. for unmannedmachining systems. The quantitative machinability models couldbe used not only for optimization of machining process, but todetermine the best tool and the given workpiece material with thebest machinability.
    Keywords: Machinability, Testing, Manufacturing systems, Materials, Tool life, CIM.

  4. Type of paper: Paper in journal

    Title: Characterization of Manufacturing Processes Based upon Acoustic Emission Analysis by Neural Networks

    Authors:
    Grabec, I
    Kuljanić, Elso (24585)
    Journal: Annals of the CIRP
    Number: 1
    ISSN: 3-905
    Volume: 43
    Year: 1994
    Number of references: 7
    Language: engleski
    Summary: The article describes application of a Gaussian neural network to monitoring of manufacturing processes. The network memory is formed by a self-organized learning process which is stimulated by a multicomponent input comprised of acoustic emission (AE) signals and process parameters. By using a trained memory and a non-parametric, multi-dimensional regression the process parameters are associatively estimated from AE signals alone. In the article on-line estimation of surface roughness in a grinding, and classification of tool sharpness in a drilling process is described. Dynamical forecasting of AE signal in drilling is also demonstrated.
    Keywords: Manufacturing, Neural network, Acoustic.

  5. Type of paper: Paper in journal

    Title: Manufacturing Education in Some North-East Mediterranean Countries - Proposals for Better Education

    Authors:
    Kuljanić, Elso (24585)
    Journal: Compendium of International Models for Manufacturing Education
    Volume: 2
    Year: 1995
    Number of references: 1
    Language: engleski
    Summary: This paper deals with the present manufacturing education in three countries: Croatia, Slovenia and Greece taken as a sample of the north-east Mediterranean countries. Curricula, laboratories, industry interaction, length of studies required for different degrees, and a discussion of new faculty education are presented. How to make a competent university professor is discussed and a research project is proposed. Also, a system approach to manufacturing education and the requirement of the acquaintance with the methodology of teaching for new faculty are proposed.
    Keywords: Manufacturing, Models, Education.

  6. Type of paper: Paper in proceedings

    Title: A Contribution to Development of Tool Wear Estimation Sensing Methods in Turning

    Authors:
    Mikac, Tonči (167792)
    Editors
    Kuljanić, Elso (24585)
    Proceedings title: Advanced Manufacturing Systems and Technology Vol. II
    Language: engleski
    Place: Udine, Italia
    Year: 1993
    Pages: from 121 to 128
    Meeting: 3rd International Conference on Advanced Manufacturing Systems and Technology
    Held: from 04/26/93 to 04/27/93
    Summary: With the development of automation tool monitoring is one of thebasic elements of the performance of flexible manufacturingsystems. In wiev of that fact, the worker's responsibility forcutting process monitoring is replaced with different sensingtechniques for automatic monitoring application. In the paper,survey of direct and indirect sensing methods for tool wear andtool break estimation are shown. Tabulated list comparasion ofdifferent sensing methods by establishing preferences and defectsis given, in aim to establish a fact of reliability and economyof method application. The paper also suggests one method fortool edge wear sensing at turning process, based on the cuttingforces measurements by strain-gage technique. Experimentalmeasurements have been carried out by variation of workpiece andtool material. The method uses increase size of cutting forcecomponents estimation depending on edge wear size, to establishtool wear on the basis of initial cutting force, or to establishcutting force limit in the moment of achieving the chosen wearcriterion.
    Keywords: Tool wear, Tool break, Sensors, Cutting forces.

  7. Type of paper: Paper in proceedings

    Title: An Automatic Tool Selection Module for CAPP Systems

    Authors:
    Mesquita, Ruy M.D.
    Cukor, Goran
    Editors
    Kuljanić, Elso (24585)
    Proceedings title: Advanced Manufacturing Systems and Technology Vol. I
    Language: engleski
    Place: Udine, Italia
    Year: 1993
    Pages: from 155 to 165
    Meeting: 3rd International Conference on Advanced Manufacturing Systems and Technology
    Held: from 04/26/93 to 04/27/93
    Summary: A modular approach to the introduction of CAPP functions within aCAD/CAM environment is proposed. In this context, the developmentof the automatic tool selection (ATS) module is presented,together with its integration with the cutting conditionsoptimization module - MECCANO2. Tool selection, combining theclassical procedure with the heuristic one, where several rulesare applied through different levels, results in a very fast andefficient algorithm. The procedure consists of a series ofscreenings which represents checks for fulfilment ofcompatibility and suitability requirements between machine tooland tool, and the elements of the part. In the final phase, thecomparison of the selected tools with respect to the economiccriteria is carried out using the data provided by theoptimization module MECCANO2. The proposed interactive programsystem allows an accurate assessment of the machining performanceof a tool with respect to the economic criteria and supplies theminimum machining cost tool or set of tools for the externalturning operations.
    Keywords: Tool selection, Process planning, Turning, Machining optimization.

  8. Type of paper: Paper in proceedings

    Title: Machinability Testing for Advanced Manufacturing Systems

    Authors:
    Kuljanić, Elso (24585)
    Editors
    Kuljanić, Elso (24585)
    Proceedings title: Advanced Manufacturing Systems and Technology Vol. I
    Language: engleski
    Place: Udine, Italia
    Year: 1993
    Pages: from 73 to 89
    Meeting: 3rd International Conference on Advanced Manufacturing Systems and Technology
    Held: from 04/26/93 to 04/27/93
    Summary: The complete change in the science and technology ofmanufacturing caused by the development and application ofcomputer integrated advanced manufacturing systems, and newmaterials, brings about a need to change the way of thinking andthe approaches in manufacturing science. The same is valid forthe practice of manufacturing. In industrial conditions, it isimportant that the machining system works, and in most cases itdoes not matter how it works. The productivity of such amachining system is usually much below its optimum value and themachining cost is too high. Three significant factors causingsuch a situation are: a) an inadequate approach to the machiningsystem, b) an obsolete way of thinking under usually totally newconditions, and c) lack of reliable machinability data andmachinability testing methods. This paper deals withmachinability testing methods. A comparison of quick and longmachinability testing methods is presented. The paper discussesISO International Standards Tool Life Testing in Milling Part 1and 2, Tool Life Testing with Single Point Turning Tools, VolvoMachinability Test, and brings out few remarks on the documents.The usefulness of the chip forms - numeric coding system given inthe ISO Standard and a need to use the coding system inmachinability testing is pointed out. Since the existingstandards and methods have been designed for steel and cast iron,it is proposed to work on machinability testing methods for newmaterials with an emphasize on new composite materials.
    Keywords: Machinability, Testing, Manufacturing systems, Materials, Composite materials, Tool life, CIM, Chip control.

  9. Type of paper: Paper in proceedings

    Title: A Contribution to the Development of Automatic Tool Selection Procedures

    Authors:
    Cukor, Goran (900106)
    Editors
    Franković, Bernard
    Proceedings title: Zbornik Tehničkog fakulteta Sveučilišta u Rijeci
    Language: hrvatski
    Place: Rijeka
    Year: 1993
    ISBN/ISSN: 0353-281X
    Pages: from 47 to 54
    Summary: A procedure to select automatically the optimum tools for the rough and finish external turning is proposed. The tools considered herein consist of a holder and an indexable carbide insert. The cost of machining with a given tool is estimated following the calculation of the optimum cutting conditions consistent with the constraints acting on the process. The proposed procedure allows assessment of the machining performance of a tool with respect to the economic criteria and supplies the minimum machining cost tool or set of tools for the external turnig.
    Keywords: Tool selection, Turning, Tool definition parameters, Process planning, Machining optimization.

  10. Type of paper: Paper in proceedings

    Title: Determination of the Extended Tool Life Equation for Quenched and Tempered Steel Machining

    Authors:
    Cukor, Goran
    Editors
    Franković, Bernard
    Proceedings title: Zbornik Tehničkog fakulteta Sveučilišta u Rijeci
    Language: hrvatski
    Place: Rijeka
    Year: 1994
    ISBN/ISSN: 0353-281X
    Pages: from 13 to 20
    Summary: This paper investigates the machinability of quenched and tempered steel 42 CrMo 4 (DIN). The wear of carbide tool at longitudinal turning has been analyzed and to obtain statistically significant results the random strategy method was applied. Experimental results were treated with multiple linear regression analysis and confirmed with equation of mathematical model, which shows dependency of tool life on cutting speed, feed and depth of cut.
    Keywords: The extended tool life equation, Quenched and tempered steel 42 CrMo 4 (DIN), Mathematical model, Multiple linear regression analysis, Turning.

  11. Type of paper: M.A.

    Title: Optimization of Machining Process
    Faculty: Tehnički fakultet Sveučilište u Rijeci
    Author: CUKOR GORAN
    Date of defense: 03/06/95
    Language: hrvatski
    Number of pages: 98
    Summary: The thesis investigates the optimization of turning. The identification of the process is done by tool life equations. A new method for cutting conditions optimization at turning process is proposed through establishment of the functions both the objective and restriction, based on which the interactive multi-criteria program system PIVOT was developed. Finally, the wear of carbide tool at longitudinal turning has been analyzed and to obtain statistically significant result the random strategy method (RSM) was applied. Experimental results were treated with multiple linear regression analysis and confirmed with equation of mathematical model which shows dependency of tool life on cutting speed, feed and depth of cut.
    Keywords: Multi-criteria optimization, Identification of machining process, Mathematical models, Tool life, Turning.


  12. Type of paper: Mentorship

    Title: Optimization of Machining Process
    Faculty: Tehnički fakultet Sveučilište u Rijeci
    Mentor: KULJANIĆ ELSO
    Date of defense: 03/06/95
    Number of pages: 98
    Author: Cukor Goran
    Degree level: M.A.



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