Projects / Programmes source: ARIS

Hybrid adaptive control of process of milling by end milling cutter

Research activity

Code Science Field Subfield
2.10.00  Engineering sciences and technologies  Manufacturing technologies and systems   

Code Science Field
T125  Technological sciences  Automation, robotics, control engineering 
Machining, adaptive control, milling, monitoring, optimization
Evaluation (rules)
source: COBISS
Researchers (13)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  13093  Matija Bizjak  Mechanics  Researcher  2008  95 
2.  07586  MSc Boris Blažič  Manufacturing technologies and systems  Researcher  2008 - 2011 
3.  26248  PhD Tomaž Brajlih  Manufacturing technologies and systems  Researcher  2008 - 2011  204 
4.  08634  PhD Franc Čuš  Manufacturing technologies and systems  Head  2008 - 2011  1,193 
5.  20359  Renato Fijavž  Mechanics  Researcher  2008 - 2011  32 
6.  02616  MSc Borut Golob  Mechanical design  Researcher  2009 - 2011  137 
7.  25149  Cvetko Jamšek  Manufacturing technologies and systems  Researcher  2008 
8.  08483  PhD Darko Lovrec  Systems and cybernetics  Researcher  2009 - 2011  547 
9.  19093  PhD Matjaž Milfelner  Manufacturing technologies and systems  Researcher  2008 - 2011  201 
10.  30939  PhD Marko Reibenschuh  Manufacturing technologies and systems  Junior researcher  2009 - 2011  43 
11.  27555  PhD Bogdan Valentan  Materials science and technology  Researcher  2008 - 2011  66 
12.  24335  PhD Boštjan Vaupotič  Manufacturing technologies and systems  Researcher  2008 - 2011  40 
13.  06213  Janko Zierer  Mechanical design  Technical associate  2008 - 2011  46 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0405  EMO - ORODJARNA proizvodna družba d.o.o. (Slovene)  CELJE  5453364  198 
2.  0795  University ob Maribor, Faculty of mechanical engineering  Maribor  5089638010  24,088 
The project is aimed at developing a system controlling the cutting force by off-line optimization and digital adaptation of cutting parameters and maintaining constant surface roughness throughout high speed machining. Hybrid modelling of cutting process (ANfis system) to be used for the development of CNC milling simulator will be developed. The simulator is aimed at testing the system stability and tuning the neural control scheme parameters. Efficiency of the proposed control system demonstrated in improved surface quality and lower tool wear will be tested on the Heller BEA 01 milling machine
Significance for science
The reasearch is a multidisciplinary surpassing of various fields of engineering knowledge supposed to find a solution for a new innovative product made in a Slovenian faculty and intended for global market. Particularly, the tool making industry requires persistent innovations and solutions for production costs, increase of productivity and, accordingly, buys the upgrades of machine tools meeting their requirements. The multidisciplinary fields include knowledge from mechanics, chemistry, mechanical engineering, mechatronics, economy, optimal energy utilization, consideration of safety standards. By previous researches in the field of control of milling process and other machining processes the top research achievements were accomplished by original solutions, which are demonstrated by top scientific publications, citations and suitable research equipment. By hybrid modelling we are proving in an original way that the signals of maximum cutting forces are in correlation with the roughness of the machined surface. The completed measuring equipment and developed software for data acquisition of cutting quantities (Labview) is up-to-date from scientific standpoint because it presented the most modern technology for development of modern unmanned machining systems. The new contribution to cutting theory is the incorporation and application of modern information tools and artificial self-learning systems, abstracting the functioning of the human mind, into processes of prediction and optimization of cutting variables in real time. On that basis the model based tool for on-line maximising of cutting parameters during machining, based on the combination artificial intelligence, is defined.
Significance for the country
This research is very important for the society, since we look for new solutions and develop high-quality products on which the products with high added value will be based and which will bring a permanent competitive advantage and a guarantee to the buyer that he has received a technologically perfect product; in the same time a affable working environment will be assured to the manpower. We are entering socially responsible into the environment, where we are active and are developing and strengthening the transparently positive identity and international renown of the faculty. The position on the market will be assured by excelling in the business operations and by prompt fulfilment of the buyers' requirements and expectations even at the most exact technical-technological level. The contribution of realized researches for economy is very important, since the adaptive control systems are developing for concrete machines. By successful materialization of ideas the properties of the existing manufacturing systems were considerably improved. The principal research effects for the metal-processing industry and/or for the Slovene tool-making shops are: shorter manufacturing times, lower manufacturing costs, smaller tool wear, automation of the process, greater robustness and process stability, relief to programmer and operator, high-quality production with minimum defects, possibility of process remote control, possibility of application transfer to different machines and machining processes and upgrading of existing CNC machine tools in production environment. Development and application of intelligent adaptive systems in the field of metal cutting influence in cost reduction, higher product quality and lover entered energy consumption. In this way we raise the technological level of Slovenian enterprises, rationalize the production costs and assuring environmental friendly production. Proposed project content is harmonized with national Research and Development Programme and with thematic priorities. In regard to resolution of national research and development programme for the period 2006-2010 the proposed project content is placed among research priorities. The research is ranged in third priority domain: researching of new production processes and technologies. The proposed researches will fundamentally contribute to further development of this priority domain.
Most important scientific results Annual report 2008, 2009, final report, complete report on dLib.si
Most important socioeconomically and culturally relevant results Annual report 2008, 2009, final report, complete report on dLib.si
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