LSNM Laboratory for Advanced Material Systems

The main goals of the laboratory are

  • development of control systems for process automation,
  • computer modeling based on artificial intelligence and physical modeling with advanced materials,
  • examining metal-nanotechnology–related technologies,
  • developing technology for producing nanostructured composites of steel and aluminum alloys,
  • outfitting a laboratory with equipment for characterizing nanomaterials,
  • devising a plan for a module for graduate education in nanostructure-related research and engineering topics.

The laboratory works in close collaboration and synergy with the Laboratory for Multiphase Processes and Laboratory for Materials Research at the University of Nova Gorica and research teams from IMPOL and Store Steel companies.

Finished projects

Development of control systems for process automation

Goals:

  • Development of a modular system for process modeling by artificial neural networks
  • Modeling of industrial processes by artificial neural networks
    • Parametric studies
    • Error estimation
    • Sensitivity tests
  • Development of methods for improving productivity, security and quality of the processes
  • Development of procedures for adjusting the process parameters
  • Software and server maintenance and administration

 

Figure 1: Process modeling strategy.

 

Activities:

  • Artificial intelligence modeling
  • User interfaces for integration of physical simulators and artificial neural network based systems
  • The analysis of influence of process parameters on outcomes
  • Development of methods for proper configuration of process parameters
  • Interaction with industrial companies

Results:

  • Modeling of continuous casting of steel by artificial neural networks based on data obtained by numerical simulator
  • Modeling of complete steel production process path by artificial neural networks with real data acquired from the Store Steel company
  • Software for development and analysis of models based on artificial neural networks

 

A computational model of the production cell

Administrator:
Prof. dr. Božidar Šarler, deputy: dr. Igor Grešovnik

Goals:

  • A preliminary study to select an appropriate platform has been conducted along with the preparation of a framework plan for software development
  • Modular system development for physical model-based  process modeling
  • Numerical simulator for EMS (electromagnetic stirrer) for continuous casting of steel

Activities:

  • Development of equations for turbulent solidification of multicomponent alloys
  • Unified physical model for different industrial casting processes
  • Solutions of Maxwell's and Poisson equations
  • Demonstration of modular system for continuous casting process
  • Sensitivity tests

Results:

  • Physical model of carbon nanomaterial production has been developed
  • Physical model for calculation of chemical reaction kinetics has been developed
  • A prototype software for chemical reaction kinetics has been developed. The in-house developed software is going to be used to calculate the related nanomaterials production yield.
  • A detailed plan for development of a simulation framework has been prepared.

Equipment:
Main RTD equipment obtained are Workstation HPDL380G7 that is used for complex simulations (physical model, artificial intelligence model, optimization environment) and Server HPZ400, which is used as server for network and common services such as Subversion software repository host.

Figure 2: Workstation HPDL380G7.

 

The introduction of carbon nanomaterials in industrial production

Steel

Goals:

  • Introduction of carbon nanostructured materials into steel alloys.
  • Development of laboratory and industrial systems for adding nanoparticles.
  • Characterization of materials
  • Investment in the development with industrial partners

Activities:
The literature associated with the use of nanostructured materials in industry has been collected and studied as well as scientific and technological literature and patents concerning the use of nanostructured carbon materials in steel.

Results: The plan of necessary tests and required resources has been made for the years 2010/2011 for pre-competitive analysis of using carbon nanomaterials in the spring steel to improve mechanical properties and consequently the life of leaf springs. A report on the application of nanostructured carbon materials in steel has been written.

Two nanostructured materials from Russian partners have been analyzed with the aim to be build-in wider industry. Two next materials are prepared for analysis.

   

Figure 3: SEM image of two nanostructered materials (left: solid carbid with added fullerenes, right: steel with added carbon nanotubes).

 

In 2012 some experiments were done in laboratory furnace by adding different nanoparticles. Different methods for placing the nanoparticles were tested and the results show that we manage to laboratory-made new type of nanostructured steel.

Figure 4: SEM image of the nanostructered material.

 

Aluminium

Several perspective connections with industry have been established. The better technological policy reflects in contracts of joint investments.

Goals:

  • Introduction of carbon nanostructured materials into aluminium alloys.
  • Development of laboratory and industrial systems for adding nanoparticles.
  • Characterization of materials
  • Investment in the development with industrial partners

Activities:

  • Start-up the melting furnace for tests
  • Test1 – adding SiC in aluminium alloy
  • Test2 – adding Al2O3 in aluminium alloy
  • Test2 – adding carbon nanoparticles in aluminium alloy

Results:

  • New competitive knowledge
  • To became part of international research

 

Development and characterization of nanostructured materials

Goals:
Establishment of a laboratory for characterization of carbon nanomaterials. Establishment of professional content for the postgraduate study program ˝Materials and nanotechnologies˝ and preparation of documentation for approval at National agency of the Republic of Slovenia for quality in higher education.

Activities:
 Characterization of carbon nanomaterials:

A full technical specification of equipment (X-ray diffractometer, Fluorescence lifetime spectrometer) have been prepared for the public tender. During these period activities in connection with the planned acquisition of two major pieces of equipment for analysis have been carried out. The technical specifications have been specified and the public tender has been carried out. The best offer has been chosen and the purchase contract has been signed. Both capital pieces of equipment have been delivered and installed.

Postgraduate study program:
The structure and contents of comparable post-graduate courses in the world and in Slovenia were examined in the initial phase along with Slovenian regulations related to the implementation of post-graduate study. After analyzing a large number of courses in nanoscience, three courses were chosen for comparison: Slovenia, Jožef Stefan International Postgraduate School, Ljubljana, Europe, Copenhagen University, Copenhagen Graduate School for Nanosicence and Nanotechnology, USA, University of California, Berkeley.

Results:
Establishment of capabilities for characterization of carbon nanomaterials. The first part of the equipment was delivered in December 2010 and the second part in February 2011. Both devices (X-ray diffractometer, fluorescence lifetime spectrometer) have been installed at the Ajdovščina Campus of the University of Nova Gorica. At the same time the development of measuring systems for measuring the electrical conductivity of materials in a wide temperature range is in progress. Both of the two capital research equipment installations are widely used for nanostructured and classical materials characterization. Neither of the mentioned pieces of equipment was available before the establishment of CoE.

 

 

  

Figure 5: Research equipment (left: Fluorescence Lifetime spectrometer, right: X-Ray Diffractometer).

 

References

2010

  • Grešovnik, R. Vertnik, B.Šarler; Integrated Optimization Platform, December 2010
  • Grešovnik; Software Development in the Laboratory, December 2010
  • K. Mramor, N. Grlj, B. Šarler; Modelling of Fullerene Production by the Electric Arc-discharge Method, 2010
  • B. Senčič; Introduction of Fullerenes in Industrial Steel Production, 2010

   
2011

  • R. Grapulin; Nanodelci d.o.o. poslovni načrt za potencialno podjetje, december 2012
  • Grešovnik; Environment for Solving Inverse and Optimization Problems, February 2011
  • Grešovnik;  Primerjalna analiza izbire platforme za numerični model proizvodne celice, februar 2011
  • K. Mramor, B. Šarler; Numerical Modelling of Fullerene Production by Electric Arc-Discharge Method, April 2011
  • K. Mramor, B. Šarler; A Meshless Method Based on Computational Model of Fullerene Production by the Electric Arc-discharge Method, 2011
  • K. Mramor, B. Šarler; Brezmrežna metoda osnovana na računalniškem modelu proizvodnje fulerenov v plazemski celici, 2011
  • Grešovnik; Plan dela- optimizacija s kompleksnim odzivom za potrebe projekta CO BIK, Maj 2011
  • Grešovnik; Use of Neural Networks for Approximation of Response Function, June 2011
  • B. Šarler, Z. Pajcur; Delo v Laboratoriju v letih 2010/2011, 2011
  • Grešovnik; Definition of Data Formats for Optimization Software, June 2011
  • K. Mramor, B. Šarler; Modelling of Fullerene Production Cell, October 2011
  • K. Mramor; Chemical Kinetics Model Analysis, 2011
  • G. Kosec, B. Šarler; H-Adaptive Local Radial Basis Function Collocation Meshless Method, 2011
  • T. Kodelja, R. Vertnik, B. Šarler, I. Grešovnik; Application of Artificial Neural Networks in Design of Steel Production
  • B. Senčič; Poročilo o opravljenih raziskavah v okviru projekta Vpeljava ogljikovih nanomaterialov v industrijsko proizvodnjo, november 2011
  • B. Senčič; Vpeljava ogljikovih nanomaterialov v industrijsko proizvodnjo – plan aktivnosti v letu 2011, 2011
  • Univerza v Novi Gorici; Slovensko-italianska konferenca: O materialih in tehnologijah za trajnostni razvoj, 2011
  • M. Valant, M. Zdovc, V. Miliouchenko; Razvoj merilnih sistemov za merjenje električne upornosti in kapacitivnosti polprevodne keramike pri temperaturah od 10K do 900 K – kalibracija sistema, junij 2011
  • D. Lisjak; Nanotehnologija in nanomateriali v Sloveniji, november 2011
  • D. Lisjak: Elaborat podiplomski študij Materiali in nanotehnologije, 2011

   
2012

  • R. Grapulin; Nadzor nad naslednjo generacijo nanotehnologije, marec 2012
  • Grešovnik; Delo opravljeno v LSNM do konca 2011, 2012
  • T.Kodelja; Thermo Mechanical Modeling of Continuous Casting with Artificial Neural Network, 2012
  • Seja strokovnega sveta CO BIK, januar 2012
  • K. Mramor; Ogljikovi nanomateriali; februar 2012
  • T. Kodelja, I. Grešovnik; Contacts with Fullerene Manufacturers, February 2012
  • Grešovnik; Organization of Code Development for Collaboration with Commercial Partners, February 2012
  • Grešovnik; Programmer’s Guidelines for Development of Software within COBIK & Laboratory for Multiphase Processes, March 2012
  • Grešovnik; Coordination of Software Development in COBIK and Laboratory for Multiphase Processes, June 2012
  • Grešovnik, T. Kodelja, R: Vertnik, B. Šarler;  A software Framework for Optimization of Process Parameters in Material Production, 2012
  • G. Kosec, B. Šarler; Local Meshless Solution Procedure for Highly Nonlinear Flows, April 2012
  • R. Vertnik, B. Šarler,; Application of Local Radial Basis Function Collocation Method to Three Dimensional Natural Convection Problems, April 2012
  • B. Šarler, R. Vertnik, K. Mramor; A Numerical Benchmark Test for Continuous Casting of Steel, MCWASP, 2012
  • B. Šarler; Numerical Simulation of Materials and Processes Based on Physical Models and Artificial Inteligence, May 2012
  • K. Mramor, R. Vertnik, B. Šarler, Simulation of Natural Convection Under the Influence of Magnetic Field by Explicit Local Radial Basis Function Collocation Method, ICCES MM 2012, Budva, Montenegro, September 2-6, 2012
  • Grešovnik, T. Kodelja, R. Vertnik, B. Šarler: Application of Artificial Neural Networks to Improve Steel Production Process. Bruzzone, A. G.; Hamza, M. H. Proceed-ings of the 15th International Conference on Artificial Intelligence and Soft Computing, Napoli, Italy, 2012 pp. 249-255.
  • S.N. Atluri, I. Vušanović, B. Šarler (Eds.), ICCES MM'12 Budva, Montenegro September 2-6,2012
  • Tadej Kodelja, Igor Grešovnik, Robert Vertnik, Božidar Šarler, Topmost Steel Production Design by Using Artificial Neural Network Through Process Modeling. Abstract, Conference on Materials and Technology, October 2012, Portorož, Slovenia.
  • Grešovnik, T. Kodelja, R. Vertnik; B. Senčič, M. Kovačič, B. Šarler, Application of Artificial Neural Network in Design of Steel Production Path. Accepted for publication in Computers, Materials & Continua, 2012.
  • B. Šarler, R. Vertnik, A.Z. Lorbiecka, I. Vušanović, B. Senčič; A Multiscale Slice Model for Continuous Casting of Steel. Materials Science and Engineering, 2012.
  • Kverh, V. Strnad; Raziskovalna naloga - Izboljšanje obdelovalnosti na zlitini 6262A – AC62 – referenčna sarža 142527 (palice v stanju T1, T2, T10 in T109), januar 2012
  • Poročilo o opravljenih raziskavah v okviru projekta Uporaba ogljikovih nanomaterialov v vzmetnem jeklu, januar 2012
  • M. Zdovc, M. Valant, A. Ceket, M. Kosovel; Development of high thermally conductive concrete, April 2012
  • Mirela Dragomir, Iztok Arčon, Sandra Gardonio, Matjaž Valant: Phase relations and optoelectronic characteristics in the NdVO4-BiVO4 system, Submitted to Acta Materialia, 2012.
  • Mirela Dragomir, Chandramathy Surendran Praveen and Matjaž Valant: Stability of BiVO3 perovskite: theoretical and experimental investigation. Submitted to Journal of the American Ceramic Society, 2012.
  • Darja Lisjak: SEM + EDXS analiza kompozitnih vzorcev, poročilo, 2012.

Researchers

Contact: info@cobik.si, 00386 05 8500893


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