Multi-objective optimization of process parameter in EDM using low-frequency vibration of workpiece assigned for SKD61

Abstract

Integrated vibration in electrical discharge machining (EDM) plays a key role in achieving high efficiency. High levels of variables can be employed in this approach due to integration. However, simultaneous optimization of the EDM parameters to achieve multi-objectives is still very complex and challenging. Studies on integrated vibration are still in a preliminary stage. This report addresses multi-objective optimization in EDM for SKD61 die steel using low-frequency vibration. MOORA (Multi-objective optimization based on ratio analysis) was chosen to resolve this multi-objective optimization problem. The material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR) were selected as performance measures in the EDM process. An analytical hierarchical process (AHP) was used to determine the weight value of the quality indicators. The results indicate that low-frequency vibrations significantly improve machining efficiency. When the frequency of the vibrations increased, MRR increased significantly such that MRR MAX = 64.48%. TWR and SR are smaller and their increase are given as TWR MAX = 20.3% and SR MAX = 18.47%. MOORA has been identified as a suitable alternative to multi-objective optimization in an EDM process using low-frequency vibrations for an assigned workpiece. The optimum parameters required to achieve the multi-objective were Ton = 25 ls, I = 8 A, Tof = 5.5 ls and F = 512 Hz, at the resultant quality criteria of MRR = 9.564 mm 3 /min, TWR = 1.944 mm 3 /min and SR = 3.24 lm with a maximum error of 8.24%.

Development and Investigation of an Inexpensive Low Frequency Vibration Platform for Enhancing the Performance of Electrical Discharge Machining Process

“…Its unit is defined as mm 3 /min. It is an important parameter for determining the productivity of EDM [20]. The weight of the work piece before and after the machining was measured using a microweight balance (Citizen System-CX 165, London, UK) of a least count of 0.001 g. This variance was then divided by the density of the work piece material and machining time to evaluate the MRR using Equation (1):…”

“…It also has a unit of mm 3 /min. It is an important parameter that determines the processing cost and accuracy of the process [20]. The tool was weighed before and after the machining on the microweight balance and the weight difference was used to calculate the TWR.…”

Teaching-Learning-Based Parametric Optimization of an Electrical Discharge Machining Process

“…Based on GRA technique, Tharian et al [20] performed multi-objective optimization of MRR and SR during EDM operation of Al7075 alloy. Huu et al [21] proposed the application of multi-objective optimization based on ratio analysis (MOORA) method for having better values of MRR, SR and TWR during EDM operation of SKD61 die steel with low-frequency vibration. Analytic hierarchy process (AHP) was utilized to estimate relative weights of the considered responses.…”

Experimental Investigation and Optimization of Electric Discharge Machining Process Parameters Using Grey-Fuzzy-Based Hybrid Techniques

“…Based on the GRA technique, Tharian et al [ 21 ] implemented a multi-objective optimization of MRR and SR during an EDM operation of Al7075 alloy. Huu et al [ 22 ] suggested, as a solution, the multi-objective optimization based on ratio analysis (MOORA) methodology for having the best results of MRR, SR and TWR throughout the EDM operation of SKD61 die steel with low-frequency vibration. Analytic hierarchy process (AHP) was utilized to estimate relative weights of the considered responses.…”