Enhancing efficiency in photo chemical machining: a multivariate decision-making approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F24%3A10254452" target="_blank" >RIV/61989100:27230/24:10254452 - isvavai.cz</a>

Result on the web

<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001170785600001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001170785600001</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fmech.2024.1325018" target="_blank" >10.3389/fmech.2024.1325018</a>

Result language

angličtina

Original language name

Enhancing efficiency in photo chemical machining: a multivariate decision-making approach

Original language description

Non-Traditional Machining (NTM) outperforms traditional processes by offering superior geometric and dimensional accuracy, along with a better surface finish. Photo Chemical Machining (PCM) represents one such NTM process, using chemical etching for material removal. PCM finds substantial application in the creation of microchannels in pharmaceutical, chemical and energy industries. Several input parameters-such as etchant concentration, etching time and etchant temperature-profoundly influence the machining&apos;s quality and efficiency. Therefore, the optimization of these parameters is crucial. This study presents a comparative analysis of five Multiple Criteria Decision Making (MCDM) techniques-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Multi-Objective Optimization on the basis of Ratio Analysis (MOORA), Additive Ratio Assessment (ARAS), Weighted aggregated sum product assessment method (WASPAS) and Multi-Attributive Border Approximation Area Comparison Method (MABAC)-for the optimization of the PCM process. Key performance metrics considered are Material Removal Rate ( M R R ), Surface Roughness ( S R ), Undercut ( U c ) and etch factor ( E F ). The weights of these criteria were calculated using the Criterion-Induced Aggregation Technique (CRITIC) and was compared with other popular methods like MEREC, Entropy and equal weights. M R R and E F are seen as beneficial criteria, while S R and U c are perceived as cost criteria. Optimum process parameters were identified as 850 g/L etchant concentration, 40 min etching time and 70 degrees C etchant temperature. Two of the three employed MCDM techniques agreed on these optimal parameters, reinforcing the findings. Furthermore, a strong correlation was observed amongst the employed MCDM techniques, further validating the results.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20300 - Mechanical engineering

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Frontiers in Mechanical Engineering - Switzerland

ISSN

2297-3079

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

FEB 13 2024

Country of publishing house

CH - SWITZERLAND

Number of pages

14

Pages from-to

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UT code for WoS article

001170785600001

EID of the result in the Scopus database

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