Influence of elastic wave on crack nucleation – Experimental and computational investigation of brittle fracture

Utilizing Piezo Acoustic Sensors for the Identification of Surface Roughness and Textures

“…Although acou wave sensors and technologies have been used in certain engineering system measu ments, their use to define surface roughness has only recently attracted attention [18,1 Through the acquisition of acoustic or elastic wave propagation within solids, v ous physical data can be obtained and analyzed accordingly. Related studies can be s in the literature as follows: the analysis of cutting parameters of machine tools with aco tic measurements [20,21]; tool life prediction via sound frequency analysis [22][23][24], fa detection in roller bearings by wavelet packet transform [25], in train bearings by proved harmonic product spectrum [26], and in low-speed bearings using acoustic em sion sensors [27]; plate fatigue evaluation using high-mode Lamb waves [28]; investi tion of the effects of elastic waves on fractures [29]; and surface stress measurement w Rayleigh wave detection [30]. In addition, while low-cost lead zirconate titanate (P transducers were previously used as buzzers for random sound generation, there are a studies where they are used as acoustic sensors [31] for structural health monitoring [ Moreover, PZT transducers and acoustic emission (AE) sensors are also used togethe measure the surface quality in the grinding process, and it was determined that the sensor and PZT transducer gave similar responses to the stimuli from the grinding proc [33].…”

“…Through the acquisition of acoustic or elastic wave propagation within solids, various physical data can be obtained and analyzed accordingly. Related studies can be seen in the literature as follows: the analysis of cutting parameters of machine tools with acoustic measurements [20,21]; tool life prediction via sound frequency analysis [22][23][24], fault detection in roller bearings by wavelet packet transform [25], in train bearings by improved harmonic product spectrum [26], and in low-speed bearings using acoustic emission sensors [27]; plate fatigue evaluation using high-mode Lamb waves [28]; investigation of the effects of elastic waves on fractures [29]; and surface stress measurement with Rayleigh wave detection [30]. In addition, while low-cost lead zirconate titanate (PZT) transducers were previously used as buzzers for random sound generation, there are also studies where they are used as acoustic sensors [31] for structural health monitoring [32].…”

Parametric study of aluminum bar shearing using Johnson-Cook material modeling

“…The rupture of materials can be classified into brittle and ductile. Glass and ceramic are usually modeled with brittle rupture models 1–3 while steel and aluminum are modeled by ductile rupture models. 4,5 This study investigates the ductile rupture of aluminum bars by shearing process.…”