Temat: EDM process - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Application of SWARA-CoCoSo-based approach for tool selection of an electrical discharge machining process
Autorzy:: Kumar, Vidyapati
Mohata, Abhishek
Mistri, Ankita
Bartoszuk, Marian
Tematy:: tool selection
MCDM
SWARA method
CoCoSo
EDM process; Pokaż więcej
Wydawca:: Politechnika Opolska
Powiązania:: https://bibliotekanauki.pl/articles/34656176.pdf Link otwiera się w nowym oknie
Opis:: Electrical discharge machining (EDM) is a non-traditional machining process widely used in manufacturing to create complex geometries on hard-to-machine materials. The tool material used in EDM plays a crucial role in determining the machining performance and final surface finish of the workpiece. In this research, we aimed to optimize the tool selection for creating circular holes on SG iron (grade 450/12) using EDM. To this end, we employed a step-wise weight assessment ratio analysis (SWARA) based combined compromise solution (CoCoSo) approach to evaluate the performance of different tool materials under various machining conditions. The machining conditions considered in this study included peak current (I), pulse-on time (Ton), and inter-electrode gap (IEG). The results of our study showed that the CoCoSo approach is an effective method for tool selection in EDM, and it can be used to identify the optimal tool material and machining conditions for creating circular holes on SG iron. The final appraisal scores obtained from the ranking of tool materials indicated that copper tools scored highest (2.4767, ranking 1), followed by copper tungsten (2.3615, ranking 2), while brass scored lowest (1.6606, ranking 3). Furthermore, Spearman's rank correlations for different integrated MCDM techniques were performed, which demonstrated the efficacy of this technique. It has been demonstrated that implementing the SWARA-CoCoSo method can effectively optimize the EDM process with regard to sustainable machining practices.
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Zastosowanie metod statystycznych do monitorowania procesu obróbki elektroerozyjnej elektrodą drutową
Application of statistical methods in the monitoring of the EDM machining with wire electrode
Autorzy:: Nowakowski, A.
Majerski, P.
Tematy:: średnia krocząca
proces losowy
elektroda drutowa
WEDM
mikro-EDM
rolling average
random process
electrode wire
micro-EDM; Pokaż więcej
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Powiązania:: https://bibliotekanauki.pl/articles/269834.pdf Link otwiera się w nowym oknie
Opis:: Dla potrzeb monitorowania procesów wycinania i mikrowycinania elektroerozyjnego opracowano modele statystyczne wykorzystujące mechanizm średniej kroczącej. W przypadku wycinania średnia krocząca opisuje proces zmian wartości czasu opóźnienia wyładowań. Przy mikrowycinaniu średnia krocząca śledzi proces ewolucji wybranych trzech typów impulsów napięcia międzyelektrodowego. Przedstawione metody mogą być wykorzystane zarówno do kontroli przebiegu procesów WEDM jak i mikro-WEDM. Modele zweryfikowano w trybie off-line, wykorzystując zrejestrowane ciągi impulsów napięcia międzyelektrodowego oraz podczas obróbki, implementując go w mikroprocesorowych analizatorach procesu.
The paper presents investigations of the WEDM and micro-WEDM processes degeneration, carried out with MEDIOS-20 and the experimental micro-WEDM machine MW50 type developed in IZTW. The measuring stand consisted of the WEDM machines connected with the gap voltage pulses analysers, the data logger, the PC computer with the dedicated software for data acquisition and processing. The main tool used for prediction of the both processes degeneration was the moving average (MA) model, endowed with a parameter q, which plays a role of a smoothing parameter as well as a 'memory' window. During the WEDM machining the subject of the analysis was the delay time of discharges. In the micro-WEDM process the data input for the model was the transient numerical time series received from the gap voltage discriminating system, which separated the gap voltage pulses into three classes: idle, normal and short, according to their amplitude before discharge and the voltage drop during discharge. During the analysis it has been observed, that very often the MA for the degenerated processes decreased just before the wire braking, whereas this almost never happened for the stable one. Algorithms calculated the on-line process degradation level (WZ) were derived from the above model. The off-line verification of the presented models, performed with the registered data, showed their good reliability. The algorithm was both applied in a microprocessor controller and verified on-line during the machining.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: An Influence of Parameters of Micro-electrical Discharge Machining on Wear of Tool Electrode
Autorzy:: Puthumana, G.
Tematy:: micro-EDM
tool wear ratio
process inputs
statistical methods
main effects
interactions
regression analysis
mikro-EDM
wskaźnik zużycia narzędzia
wejścia procesowe
metody statystyczne
efekty główne
interakcje
analiza metodą regresji; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/139636.pdf Link otwiera się w nowym oknie
Opis:: To achieve better precision of features generated using the micro-electrical discharge machining (micro-EDM), there is a necessity to minimize the wear of the tool electrode, because a change in the dimensions of the electrode is reflected directly or indirectly on the feature. This paper presents a novel modeling and analysis approach of the tool wear in micro-EDM using a systematic statistical method exemplifying the influences of capacitance, feed rate and voltage on the tool wear ratio. The association between tool wear ratio and the input factors is comprehended by using main effect plots, interaction effects and regression analysis. A maximum variation of four-fold in the tool wear ratio have been observed which indicated that the tool wear ratio varies significantly over the trials. As the capacitance increases from 1 to 10 nF, the increase in tool wear ratio is by 33%. An increase in voltage as well as capacitance would lead to an increase in the number of charged particles, the number of collisions among them, which further enhances the transfer of the proportion of heat energy to the tool surface. Furthermore, to model the tool wear phenomenon, a regression relationship between tool wear ratio and the process inputs has been developed.
Dostawca treści:: Biblioteka Nauki

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