This paper analyzes the sound radiation behavior of a clamped thin, functionally graded material plate using the classical plate theory and Rayleigh Integral with the elemental radiator approach. The material properties of the plate are assumed to vary according to the power-law distribution of the constituent materials in the transverse direction. The functionally graded material is modeled using a physical neutral surface instead of a geometric middle surface. The effects of the power-law index, elastic modulus ratio, different constituent materials, and damping loss factor on the sound radiation of functionally graded plate are analyzed. It was found that, for the considered plate, the power-law index significantly influences sound power level and radiation efficiency. There exists a critical value of the power-law index for which the corresponding peak of sound power level is minimum. In a wide operating frequency range, approximately 500–1500 Hz, this research suggests that the radiation efficiency is lower for the power-law index equal to 0 and 1. However, for very low frequencies (less than 250 Hz), the power-law index does not affect radiation efficiency significantly. Further, as the modulus ratio increases, the sound power peak decreases for a given power-law index. For the given material constituents of the functionally graded plate, the different values of damping loss factors do not significantly influence radiation efficiency. However, the selection of material constituents affects the radiation efficiency peak.

The present study delves into exploring how various parameters of the WEDM process influence the material removal rate (MRR) behavior of Titanium grade 5 alloy, employing Taguchi methodology. Four key process parameters, namely pulse on time (Ton), pulse off time (Toff), wire feed (WF), and gap voltage (V), each with three levels, are chosen to effective MRR. Utilizing the L9 orthogonal array (OA), the study examines the impact of these input parameters and their interactions. S/N ratio analysis is employed to pinpoint the optimal conditions for maximizing MRR within the experimental range. Analysis of variance (ANOVA) is conducted to assess the significance of the process parameters. Subsequently, a confirmation test is carried out to validate the efficacy of the chosen design. Results indicate that at the optimal condition, the S/N ratio of MRR has improved by 13.5% compared to the initial condition.