Comparative analysis for the prediction of WEDM responses for machining spark plasma sintered boron carbide ceramic sample by RSM and ANFIS

Pramanick, Ayan; Mandal, S.; Dey, Partha Pratim; Das, Pankaj

doi:10.1016/j.matpr.2020.07.582

Cited by 11 publications

(5 citation statements)

References 24 publications

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“…Investigations into the influences of machining input parameters on the performance of WEDM have been widely reported [25,[40][41][42]. Several attempts have been made to develop mathematical model of the WEDM process [39,[43][44][45][46][47]. In these works, productivity of the process and the surface roughness of the machined work piece are examined as measures of the process performance.…”

Section: Literature Review: Process Modeling and Optimizationmentioning

confidence: 99%

Analysis and Optimization of Process Parameters in Wire Electrical Discharge Machining Based on RSM: A Case Study

Sağbaş¹

2023

Response Surface Methodology - Research Advances and Applications

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In this book chapter a review and critical analysis on current research trends in wire electrical discharge machining (WEDM) and relation between different process parameters including pulse on time, pulse off time, servo voltage, peak current, dielectric flow rate, wire speed, wire tension on different process responses include material removal rate (MRR), surface roughness (Ra), sparking gap, wire lag and wire wear ration (WWR) and surface integrity factors was investigated. On the basis of critical evaluation of the available literature following conclusions are summarized. In addition, different modeling and optimization methods used in WEDM were discussed and a case study based on response surface method (RSM) including design of experiment (DoE) carried out to find optimal process parameters effect on surface roughness was conducted. In the final part of the present study was presented some recommendations about the trends for future WEDM researches.

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Section: Literature Review: Process Modeling and Optimizationmentioning

confidence: 99%

Analysis and Optimization of Process Parameters in Wire Electrical Discharge Machining Based on RSM: A Case Study

Sağbaş¹

2023

Response Surface Methodology - Research Advances and Applications

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“…Naresh et al 17 suggested the ANFIS model for WEDM parameter optimization, enabling efficient machining of Nitinol alloy. Pramanick et al 18 developed 10 different ANFIS models for the two WEDM machine output parameters, such as machining speed and surface roughness, compared their findings to response surface methodology, and concluded that the ANFIS model's three trapezoidal and triangular membership functions produced effective results. By using a neural network classifier, Abhilash and Chakradhar 19 probed the failure predictions of the WEDM machine.…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of WEDM of monel 400 alloy using ANFIS and snake optimizer: A comparative study

Jithendra,

Sharief Basha,

Das

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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The exploration of the prediction of wired electro-discharge machining parameters is becoming progressively more crucial in order to choose the ideal parameters for making products with impeccable designs. The objective of this work is to develop an augmented adaptive neuro-fuzzy inference system (ANFIS) model by encrypting the snake optimizer for estimating the surface roughness, material removal rate, and residual stress of Monel 400 alloy in wire electric discharge machining (WEDM). The performance of the indicated augmented model called ANFIS-SO was evaluated using 64 trials of WEDM experimental data. As a means of emphasizing the performance of the presented model, estimation results were compared to those from existing models, which included integration of ANFIS and beetle antennae search capabilities, reptile search algorithms, and COOT algorithms. The ANFIS-SO model showed excellent performance based on the statistical benchmarks tested for the developed models. The model achieved RMSE of 0.0793, 0.2781, and 16.3286 with performance errors of 0.3203, 1.9687, and 1112.529 along with an accuracy of 99%, 98%, and 95% for surface roughness, MRR, and residual stress, respectively, which are extremely more accurate than the ANFIS, ANFIS-BAS, ANFIS-RSA, and ANFIS-COOT. As a result of these findings, it is evident that the developed ANFIS-SO model might be used with reliability when designing future model forecasting approaches for optimizing machining parameters. Therefore, it is discovered that using ANFIS-SO is an innovative method for determining WEDM machining parameters which are very promising.

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“…This study will improve product quality when machining sintered boron carbide with WEDM. Pramanick [7] analysed ve WEDM parameters when processing spark plasma sintered (SPS) boron carbide and their impact on surface roughness (Ra) and machining speed. The analysed parameters were pulse on time, pulse off time, peak current, water pressure, and servo feed rate.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the machinability of different types of sintered carbides with WEDM in both water and oil baths

Mouralová

Beneš

Prokeš

et al. 2023

Int J Adv Manuf Technol

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The unconventional Wire Electric Discharge Machining (WEDM) technology represents a vital manufacturing technology in different industrial branches. This technology is essential because of the possibility to machine di cult-to-machine materials such as sintered carbides. For this reason, this study analyses the machinability of sintered carbides WKP23S, WSM33S a WK1 with WEDM in both water and oil baths. We investigated the in uence of the machining parameters, namely, pulse off time, gap voltage, discharge current, pulse on time, and wire feed, on the cutting speed, surface roughness, and defect occurrence. We investigated 9 different roughness parameters, analysed surface morphology with an electron microscope, and also analysed cross-sectioned samples. We found out that machining sintered carbides in oil bath yields better results than machining in deionized water. The oil tank prevents the removal of the cobalt binder, but it doesn't reduce ssure occurrence in any signi cant way.

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Comparative analysis for the prediction of WEDM responses for machining spark plasma sintered boron carbide ceramic sample by RSM and ANFIS

Cited by 11 publications

References 24 publications

Analysis and Optimization of Process Parameters in Wire Electrical Discharge Machining Based on RSM: A Case Study

Analysis and Optimization of Process Parameters in Wire Electrical Discharge Machining Based on RSM: A Case Study

Modeling and optimization of WEDM of monel 400 alloy using ANFIS and snake optimizer: A comparative study

Analysis of the machinability of different types of sintered carbides with WEDM in both water and oil baths

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