Digital Fuzzy Welding Control in MIG/MAG Gas Metal Arc Welding

Code

L2-3436 (C) - included in ARIS records

Head

PhD Marjan Golob

Period

7/1/2001 - 6/30/2004

Range in 2004

0.57 FTE

Science

Engineering sciences and technologies (5)
Other (1)

Reseacher status

Researcher (5)
Junior expert or technical associate (1)

Education

Doctor's degree (3)
Other (3)

Sex

Man (6)

Status

Employed at RO and RRD (2)
No data on employment in RO (1)
Retired (2)
Deceased (1)

No. of publications

1–9 (2)
10–99 (2)
100–999 (2)

Projects / Programmes source: ARIS

source: ARIS

Digital Fuzzy Welding Control in MIG/MAG Gas Metal Arc Welding

Research activity

Code	Science	Field	Subfield
2.10.06	Engineering sciences and technologies	Manufacturing technologies and systems	Welding

Code	Science	Field
T130	Technological sciences	Production technology
T121	Technological sciences	Signal processing

Keywords

Intelligent control of arc welding, parameter sensing, parameter identification, general weld modelling, adaptive weld process control.

Evaluation (rules)

source: COBISS

Evaluation of bibliographic research performance indicators according to ARIS methodology

Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases

source: WoS

source: Scopus

source: COBISS

Researchers (6)

no.	Code	Name and surname	Research area	Role	Period	No. of publicationsNo. of publications
1.	07692	PhD Marjan Golob	Systems and cybernetics	Head	2002 - 2004	296
2.	04071	PhD Arpad Koveš	Manufacturing technologies and systems	Researcher	2002 - 2004	164
3.	04286	Janos Orban	Manufacturing technologies and systems	Researcher	2002 - 2004	6
4.	20033	PhD Stojan Peršin	Telecommunications	Researcher	2002 - 2004	56
5.	15435	Aleš Puklavec	Manufacturing technologies and systems	Researcher	2002 - 2004	12
6.	17149	Miloš Vute		Researcher	2002 - 2004	1

Organisations (3)

no.	Code	Research organisation	City	Registration number	No. of publicationsNo. of publications
1.	0209	Welding Institute	Ljubljana	5051398000	1,335
2.	0245	DAIHEN VARSTROJ varjenje in rezanje ter robotizacija d.d. (Slovene)	Lendava	5418992000	6
3.	0796	University of Maribor, Faculty of Electrical Engineering and Computer Science	Maribor	5089638003	27,541

Abstract

Welding is an important manufacturing process that can be automated. Its effect on the quality of products is particularly important when new materials are used in the manufacturing process. The permanent demand for higher quality of products at lower product prices dictates a permanent development of production quality assurance methods and systems. Super-control of welded products (destructive and non-destructive testing of welds) is time consuming and expensive, so new possibilities for automated welding process self-control are being investigated. One of the feasible possibilities in this domain is to design an intelligent controller of welding sources. The controller offer settings of parameters (welding energy, pulse shapes) with respect to the chosen material, weld characteristics and welding program. This is made possible by a decision system based on analysis of feedback information coming from the welding process and the knowledge database. Decision algorithm, supported by intelligent data analysis, neural network theory and fuzzy decision system is able to adjust automatically the welding parameters of automated welding cells in order to fulfil the desired technological requirements. The control and the regulation of the welding process is implemented depending on the conditions in the solidified weld which is in direct connection with the quality of the welded joint. The project will bring the results of interdisciplinary research work performed by experts in welding technology, measurement of electrical and physical quantities, intelligent data analysis, soft computing technologies, and microprocessor technologies.