Experimental study on tool condition monitoring in boring of AISI 316 stainless steel

Abstract

In this article, effect of cutting parameters, namely, cutting speed, feed rate and tool nose radius, on the tool life was examined experimentally. The experiments were performed on boring of AISI 316 steel with cemented carbide tool inserts. Design of experiments was prepared, and eight experiments were performed with two levels of the cutting parameters. The effects of cutting parameters were analyzed by evaluating the amplitude of workpiece vibration, surface roughness and volume of metal removed. The experimental data were taken for evaluation of tool life for a flank wear of 0.6 mm in all the eight trials. A laser Doppler vibrometer was used for online data acquisition of workpiece vibration, and a high-speed fast Fourier transform analyzer was used to process the acousto-optic emission signals for the workpiece vibration. Taguchi, analysis of variance and regression analysis methods were used to identify significant cutting parameters affecting the workpiece vibrations, surface roughness and volume of metal removed. All selected analysis methods used in this study predicted similar cutting parameter.

Lézeres mérések alkalmazása forgácsoláskor Fúrás, marás és esztergálás lézeres vizsgálata

“…Az esztergáláshoz köthető, de már a következő fejezetet is érinti Venkata Rao és munkatársai cikke [15], amelyben a szerzők a forgácsolási sebesség, az előtolás és a forgácsolólapka csúcssugarának hatásait elemezték furatesztergálásnál. A rezgések ennél az eljárásnál különösen abban az esetben jelentenek problémát, amikor a szerszám még a furatmegmunkálás kezdeténél tart, s nagy része a furaton kívül helyezkedik el.…”

“…A forgás okozta zajfoltosodási hibák kiküszöbölésére egy további, egyszerű megoldás szinte magától kínálkozik. Ha a forgácsolási körülmények megengedik, akkor az álló szerszámon kell elvégezni a mérést [15] [16][17] [20]. Ez a korlát azonban nem lehet feltétele az állapotfelügyeleti stratégia kialakításának.…”

Modeling condition-based maintenance and replacement strategies for an imperfect production-inventory system

“…With the development of sensor and information technologies, the degradation level of systems can be monitored to estimate the systems' state and facilitate the prediction of failures. 7,8 Hence, condition-based maintenance (CBM) has been widely used in maintenance area due to its effectiveness and efficiency. However, few researches have been done to investigate the joint model for EPQ and CBM.…”

Surface integrity of bored super duplex stainless steel SAF 2507

“…However, few studies have been performed with respect to the boring manufacturing and a relative surface analysis of the involved elements. For example, Rao et al [15] studied the tool wear during boring of an austenitic stainless steel, while Yildiz et al [16] investigated the effect of cutting fluid on the surface roughness of a low carbon steel. In [15] the findings showed a more relevant contribution of nose radius on the surface roughness.…”

“…For example, Rao et al [15] studied the tool wear during boring of an austenitic stainless steel, while Yildiz et al [16] investigated the effect of cutting fluid on the surface roughness of a low carbon steel. In [15] the findings showed a more relevant contribution of nose radius on the surface roughness. Following [16], a big tool nose radius employed at low feeds promoted reductions up to 80 % in surface roughness in wet machining.…”