Sara Havrlisan

Dr. Sara Havrlisan

University of Slavonski Brod
+2
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2020 in Measurement
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Journal Article
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BŠBranko Štrbac
Branko Štrbac
BABojan Ačko
Bojan Ačko
Sara HavrlisanSara Havrlisan
Sara Havrlisan
IMIvan Matin
Ivan Matin
BSBorislav Savković
Borislav Savković
MHMiodrag Hadžistević
Miodrag Hadžistević

15 October 2020 in Materials
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Journal Article
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KSKatica Simunovic
Katica Simunovic
Sara HavrlisanSara Havrlisan
Sara Havrlisan
Tomislav ŠARIĆTomislav ŠARIĆ
Tomislav ŠARIĆ
DVDjordje Vukelic
Djordje Vukelic
In investigating thermally sprayed Ni-based self-fluxing alloy coatings, widely applied under conditions of wear, corrosion, and high temperatures, designed experiments and statistical methods as a basis for modeling and optimization have become an important tool in making valid and comparable conclusions. Therefore, this paper gives an overview of investigating Ni-based self-fluxing alloy coatings deposited by thermal spraying by the use of designed experiments and statistical methods. The investigation includes the period of the last two decades and covers the treatments of flame spraying, high-velocity oxy/air fuel spraying, plasma spraying, plasma-transferred arc welding, and laser cladding. The main aim was to separate input variables, as well as measured responses, and to point out the importance of correct application of statistical design of experiment. After the review of the papers, it was concluded that investigators have used the process knowledge to analyze and interpret the results of the statistical analysis of experimental data, which is in fact the best way of using the design of experiment in every research. Nevertheless, more attention should be given to correct planning and conducting the experiments to derive the models suitable for the prediction of measured response and which could be an appropriate input for single- or multi-objective optimization.

1 January 2020 in Tehnicki vjesnik - Technical Gazette
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ISIlija Svalina
Ilija Svalina
Sara HavrlisanSara Havrlisan
Sara Havrlisan
KSKatica Simunovic
Katica Simunovic
Tomislav ŠARIĆTomislav ŠARIĆ
Tomislav ŠARIĆ
Alternative approach to surface roughness evaluation is mostly based on the analysis of digital images of machined surfaces i.e. on extracting various features from the matrix mathematically representing a digital image. This paper analyses correlation between 23 different digital image features and the surface roughness for two different materials: aluminium and stainless steel. Machined surfaces for both materials were acquired by face milling. Factorial design 6 x 5 x 2 with two replicates was conducted for each material with cutting parameters being varied on various numbers of levels. Based on the correlation coefficients the results showed that the best ranked features regardless of the machined material were the features based on statistic measures.

1 November 2016 in Tehnicki vjesnik - Technical Gazette
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Sara HavrlisanSara Havrlisan
Sara Havrlisan
KSKatica Simunovic
Katica Simunovic
DVDjordje Vukelic
Djordje Vukelic
U ovom radu ispitivana je otpornost na abrazijsko trošenje slojeva na bazi Ni, koji su naneseni postupkom plinskog naštrcavanja s utaljivanjem.Korišten je test "suhi pijesak/gumeni kotač" prema normi ASTM G65 i to prema B i C...

1 November 2019 in Tehnicki vjesnik - Technical Gazette
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TŠTomislav Šolić
Tomislav Šolić
Sara HavrlisanSara Havrlisan
Sara Havrlisan
DMDejan Marić
Dejan Marić
ISIvan Samardžić
Ivan Samardžić
This paper presents the results of testing two different materials in aggresive atmosphere rich in sodium chloride (NaCl) depending on different time intervals (48, 96, 168, 240 hours), in order to determine the corrosion process flow....