Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 2023

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: SWARA method

Sortuj według:

Ogranicz wyniki do:

Application of SWARA-CoCoSo-based approach for tool selection of an electrical discharge machining process

Kumar Vidyapati, Mohata Abhishek, Mistri Ankita, Bartoszuk Marian

Sustainable Production, Instrumentation and Engineering Sciences

2023

vol. 1, nr 1

19--26

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.

A Modified Hybrid Objective Model to Calculate the Weights of Cause and Effect Criteria in a System: DEMATEL and DEVELOPED SWARA (D-DS) Based Model

Ebrahimi Seyed Hossain

Foundations of Computing and Decision Sciences

2023

Vol. 48, No. 2

101--152

Criteria weighting is a widely used and also an important feature of multi criteria decision making problems specially in engineering, computer science and management investigations. In particular in many studies related to complex systems there would be usually two main groups of cause and effect criteria. In this research it is intended to make an hybrid objective model comprising DEMATEL and SWARA techniques to assign classified weights to the subgroup of cause and effect criteria. As a main goal, the proposed hybrid model in this presented paper can afford to assign greater values for criteria who belong to cause group. In this regard we apply the objective information which derived from the parameters of (R, equal to sum of direct and indirect influence of a criteria), (R/C, named as net influence power of a criteria) and (R-C, named as net effect of a criteria) related to the final total influence matrix T in DEMATEL methodology. The main contribution in this work lies in utilizing the SWARA methodology and making us of its revision where the relatively Comparative Importance Sj, applied in SWARA technique is reconfigured by some aggregation operators including max, Einstein and Hamacher operators for obtaining more uniformed weights of cause and effect criteria relatively to SWARA basic methodology. Finally results shows that the (R/C) and (R-C)would transfer more clear and refined data and numeric information achieving better and highly reliable weights of criteria categorized into two groups of cause and effect group.