Optimization of WEDM process of mould material using Kriging model to improve technological performances

Abstract

Improving the technical performance of the wire electro-discharge machining (WEDM) process is an effective solution to decrease manufacturing costs. This paper addresses a multi-response optimization to simultaneously improve the cutting area rate CAR and decrease the kerf width AKW, while the average surface roughness ASR is predefined as a constraint. The processing conditions considered include the pulse-on time T on , the current I, the voltage V and the wire speed S. A WEDM machine was adopted in conjunction with the Box-Behnken matrix to conduct experimental trials for machining of SKD61 steel. Highly nonlinear relationships between machining parameters and technological outputs were developed using the Kriging models. Finally, an archive-based micro-genetic algorithm (AMGA) was used to resolve the trade-off analysis among three responses and determine the optimal values of the processing factors. The results showed that a set of feasible solutions can be determined for the low kerf width as well as the surface roughness and the high cutting area rate. The selection of optimum parameters could help the WEDM operators to save the machining costs and time. The combination of the Kriging model and AMGA could be considered as an intelligent approach for modelling WEDM processes and predicting optimal results.

Determination of The Best Injection Stretch Blow Molding Process Parameters in Polyethylene Terephthalate Bottle Service Performance

“…The Taguchi (TM) is an experimental design (ED) procedure which is attributed to the analysis of variances, which starts an enterprise to uncover the main causes of variations experiments (Es) [17]. TM was developed by Taguchi [18][19][20][21][22][23][24][25][26][27][28]. TM, prevalently operated in engineering analysis, is a robust facility to lay out system parameters [20][21][22][23].…”

“…TM was developed by Taguchi [18][19][20][21][22][23][24][25][26][27][28]. TM, prevalently operated in engineering analysis, is a robust facility to lay out system parameters [20][21][22][23]. TM parameter design stage was carried out and the details of TM stages can be read in study 4.…”

Multi-Attribute Optimization of the WEDM Process for Surface Characteristics and Productivity

“…The Kriging models were applied to render the predictive models of the cutting area rate (CAR), kerf width (KW), and Ra in terms of the POD, POF, AC, and DV [6]. The feasible solutions obtained could be used to determine proper factors, which were satisfied with the optimization requirements.…”

Sustainability-Based Optimization of the Rotary Turning of the Hardened Steel

“…In this work, the self-propelled rotary tool has been designed and fabricated. The improved Kriging models are applied to render nonlinear relationships between the process parameters and turning responses [16,17]. The neighborhood cultivation genetic algorithm (NCGA) is employed to select the optimal values of the inputs and objectives [18].…”