Tatjana Šibalija - Academia.edu (original) (raw)

Papers by Tatjana Šibalija

Zenodo (CERN European Organization for Nuclear Research), Jul 16, 2022

Neural Computing and Applications, Mar 22, 2021

This work presents an examination of the wire electric discharge machining (WEDM) in processing I... more This work presents an examination of the wire electric discharge machining (WEDM) in processing Inconel 625. The major WEDM variables (pulse-on time, pulse-off time, servo voltage, wire feed rate) were experimentally investigated to address multiple aspects of this process, namely to reduce the gap current and surface roughness and increase the cutting speed. After testing the statistical significance of the major WEDM parameters for the three responses, an advanced statistical procedure was utilized for tackling correlations among outputs and their integration into the WEDM output performance in a fully objective manner. The Bayesian regularized neural network established a highly accurate process model that was engaged as the objective function for the evolutionary algorithms to identify the optimal machining conditions. The following algorithms were employed: particle swarm optimization, teaching-learning based optimization, grey wolf optimization and Jaya algorithm. Their results were thoroughly analyzed in terms of accuracy, i.e., repeatability of the resulting solutions, convergence speed and computational time, including assessment of the hyperparameter effects. The obtained optimal solution was highly convincing and it was successfully validated in a confirmation run. Therefore, the benefits of these findings are twofold, offering: (i) a thorough analysis of the four metaheuristics effectiveness in dealing with a real industrial problem, (ii) useful insights for controlling WEDM variables to enhance the technological, environmental and economic aspects at the same time.

Metals, Oct 25, 2019

This paper presents an experimental study carried out on Nimonic 263 alloy sheets to determine th... more This paper presents an experimental study carried out on Nimonic 263 alloy sheets to determine the optimal combination of laser cutting control factors (assisted gas pressure, beam focus position, laser power, and cutting speed), with respect to multiple characteristics of the cut area. With the aim of designing laser cutting parameters that satisfy the specifications of multiple responses, an advanced multiresponse optimization methodology was used. After the processing of experimental data to develop the process measure using statistical methods, the functional relationship between cutting parameters and the process measure was determined by artificial neural networks (ANNs). Using the trained ANN model, particle swarm optimization (PSO) was employed to find the optimal values of laser cutting parameters. Since the effectiveness of PSO could be affected by its parameter tuning, the settings of PSO algorithm-specific parameters were analyzed in detail. The optimal laser cutting parameters proposed by PSO were implemented in the validation run, showing the superior cut characteristics produced by the optimized parameters and proving the efficacy of the suggested approach in practice. In particular, it is demonstrated that the quality of the Nimonic 263 cut area and the microstructure were significantly improved, as well as the mechanical characteristics.

Applied Soft Computing, Nov 1, 2019

The evolutionary optimisation algorithms appeared as an effective alternative to conventional sta... more The evolutionary optimisation algorithms appeared as an effective alternative to conventional statistical methods that have certain limitations in optimising complex manufacturing processes. Considering works published in the last decade, this paper presents an analysis of the particle swarm optimisation (PSO) implementation in designing parameters of heterogeneous manufacturing processes, both conventional and emerging, new processes. The literature review and analysis was structured according to the complexity of the optimisation problem (single response and multiresponse problems), and the development of an objective function for PSO. The tuning of the PSO algorithm-specific parameters was analysed in detail. The PSO algorithm performance was benchmarked with the results of other methods, including evolutionary algorithms, in designing process parameters. The concerns in applying PSO for multiresponse manufacturing problems were highlighted, and recommendations for future research were drawn. Such a comprehensive review on the PSO application in optimising manufacturing processes, including the detailed discussion on the algorithm characteristics and benchmark with other optimisation procedures, has not been pursued so far. Therefore, this review analysis provides hands on information for researchers and engineers at one place, and it is believed that the findings could serve as a basis for the future research and implementation directions.

Journal of The Brazilian Society of Mechanical Sciences and Engineering, Feb 14, 2022

Lecture notes in mechanical engineering, 2023

Two important aspects of Quality Management, regarding to Life Cycle Product: • Design of Experim... more Two important aspects of Quality Management, regarding to Life Cycle Product: • Design of Experiment (DoE), as part of Quality Engineering, and • Statistical Process Control (SPC), as a part of Quality Assurance/Control, will be considered in this paper, through an example of microelectronic package. The essential process in microelectronic assembly is wire bonding process. Design of Experiment has been performed in order to achieve robust thermosonic copper wire bonding process. Process robustness has been measured by implemented Statistical Process Control. Together, it assures higher reliability level in the microelectronic package life cycle.

The software acquisition cost is today a very important problem for all Information Technology De... more The software acquisition cost is today a very important problem for all Information Technology Department in the enterprise. After it takes different software products, in many cases, the IT enterprise employees observe than these products become unnecessary in short time. The Open Source Software represents a solution for the enterprise because it can be taking free (e. g. Internet download), tested, modified improved and redistributed. We present in this paper an example of this software implement for a relational database development in the enterprise.

The paper presents ManuFuture European Technology Platform for future manufacturing technologies,... more The paper presents ManuFuture European Technology Platform for future manufacturing technologies, as one of the most important and most comprehending European Technology Platforms (ETPs). ManuFuture Strategic Research Agenda (SRA) – the roadmap for European industrial transformation with prioritised technology and research areas, and Factories of Future (FoF) initiative as a form of a public-private partnership, are considered in details. A significant contribution of ManuFuture Cluster Serbia to development and implementation of ManuFuture SRA and FoF is shown in last sections, presenting a concrete example of the innovation inspired by ETP program.

In today’s fast-moving global industrial environment, manufacturing companies are forced to be mo... more In today’s fast-moving global industrial environment, manufacturing companies are forced to be more competitive in order to sustain their profitability. Implementation of the advanced cost-effective methodologies for product and/or process quality improvement is an effective mean to fulfil or even exceeds customer’s expectations. This paper presents the analysis of a performance of automatic enamelling process for a non-normal data distribution, conducted within the six sigma project implemented in a cookware production system. Drawing on the results of the process analysis, process improvement was performed by using Taguchi's location and dispersion modelling approach. It proved its effectiveness in determining the significant effects of process parameters on the response mean and variation and finding optimal parameter settings in the observed single-response system.

Serbian companies have lately been confronted with many problems as a consequence of the global c... more Serbian companies have lately been confronted with many problems as a consequence of the global circumstances and the economic crisis in the country. The possible way to recover from these difficulties may be turning to continuous improvement of performance on all business levels, which in particular refers to Kaizen method. Kaizen philosophy is based on a focus on continuous enhancement in every aspect of life with a special emphasis on business applications, standardized activities and processes. By adopting this Japanese philosophy, many companies worldwide experienced significant savings that resulted in appreciable growth of the organization. This paper presents a brief overview of the application of Kaizen principles in Serbian industry, and shows a detailed study on the analysis of implementation of Kaizen approach in the company EnergoPET, Belgrade.

Metals, 2019

Acta IMEKO, Jun 29, 2015

Inspection on coordinate measuring machines (CMMs) is based on software support for various class... more Inspection on coordinate measuring machines (CMMs) is based on software support for various classes of metrological tasks, i.e. tolerances. Today, the design of a uniform inspection plan for a measuring part presents a rather complex issue due to the following: (i) metrological complexity of a measuring part; (ii) skills and knowledge of a designer / inspection planner; and (iii) software for CAI model, considered as a part of an integrated CAD-CAPP-CAM-CAI system. This issue could be addressed by the usage of expert systems that generate a conceptual inspection plan for a measuring part, based on which the inspection plan for a selected CMM could be automatically developed. This paper presents the development of a model of an automatic inspection planning system for CMMs, and, in particular, the developed knowledge base model.

ABSTRACT This paper presents the current status of six sigma-related activities in Serbia: the ed... more ABSTRACT This paper presents the current status of six sigma-related activities in Serbia: the education framework for six sigma, six sigma implementation, and the development of related advanced quality engineering methods

ABSTRACT This paper presents a model of generic knowledge-based system for the selection of optim... more ABSTRACT This paper presents a model of generic knowledge-based system for the selection of optimal process parameters in multiresponse processes, that consists of three modules which (1) use expert system, designed for selecting an inner and an outer orthogonal array, to design the experimental plan, (2) use Taguchi’s quality loss function and multivariate statistical methods to adequately present responses, uncorrelate and synthesise them into a single process performance measure, (3) use neural networks to construct the response function model and genetic algorithm to optimise parameter design. The model is given in a form of an hybrid intelligent system for the process design, optimisation, modelling and/or simulation. Two case studies are presented to illustrate the effectiveness of the proposed model in comparison to several commonly used approaches from the literature.

Izvod Međunarodni standard menadžmenta kvaliteta ISO 9001 postao je opšte prihvatljivi okvir za u... more Izvod Međunarodni standard menadžmenta kvaliteta ISO 9001 postao je opšte prihvatljivi okvir za unapređenje kvaliteta proizvoda i usluga, a sve je više istraživanja koja definišu veze i uticaje između primenjenog modela sistema menadžmenta kvaliteta (eng. Quality Management System-QMS) na finansijske i nefinansijske parametre poslovanja. U ovom radu su analizirani uticaji impementacije farmaceutskog sistema kvaliteta (eng. Pharmaceutical Quality System-PQS) na poslovne performanse u farmaceutsko-hemijskoj industriji Srbije. Pozitivni uticaji impementacije farmaceutskog sistema kvaliteta na performanse poslovanja, kao što su: praćenje indikatora performansi, kontinuirano unapređenje kvaliteta proizvoda i usluga, efikasno rešavanje problema, potvrdile su se i u ovom radu na slučaju farmaceutsko-hemijske industrije Srbije. Specifičnost ovog tipa industrije ogleda se u veoma značajnom, pozitivnom uticaju tehnika analize rizika i upravljanja znanjem na većinu parametara poslovanja. Rezultati ovog istraživanja otvoriće prostor za unapređenje postojećih modela u primeni, kao i privlačenje onih koji procese poslovne standardizacije još nisu implementirali. Implementacija farmaceutskog sistema kvaliteta nije samo regulatorni zahtev, odnosno marketinški potez, već bitan parametar za razvoj i poboljšanje poslovnih performansi.

FME Transactions, 2010

This paper presents a novel, general and intelligent approach to multiresponse process optimisati... more This paper presents a novel, general and intelligent approach to multiresponse process optimisation, whose purpose is to obtain a single optimum setting of process parameters that meets specifications of all considered, possibly correlated, responses. The approach is based on Taguchi quality loss function, multivariate statistical methods: Principal componenet analysis and Grey relational analysis, and artificial intelligence techniques: Artificial neural networks and Genehic algorithm. The proposed model considers process optimisation in a general case where analytical relations and interdependences in a process are unknown, thus making it applicable to various types of process optimisation problems. The implementation of the suggested approach is presented on a study that discusses the optimisation of thermosonic gold wire bonding process in semiconductor industry, for the assembly of microelectronic devices. The results confirm the effectiveness of this approach in the presence of three correlated responses (product quality characteristics).