in this research using statistical analysis the effect of machining parameters such as cutting velocity, feed rate, and tool type on machining power (p m ) in machining process of en-ac 48000 aluminum alloy has been studied. a taguchi l 27 standard array has been utilized as the most economical array to evaluate the factors and their interaction. en-ac 48000 alloy is frequently used in automoti...

Tool wear state classification has good potential to play a critical role in ensuring the dimensional accuracy of the work piece and prevention of damage to cutting tool in machining process. During machining process, tool wear is an important factor which contributes to the variation of spindle motor current, speed, feed and depth of cut. In the present work, on-line tool wear state detecting ...

Optimization of process parameters is the key step in response surface methods to achieve high quality without cost inflation. The multi-response optimization of the machining parameters viz, chip-tool interface temperature, main cutting force and feed force on lathe turning of En-31 steel as alloy steel using RSM with grey relational analysis is reported. A grey relational grade obtained from ...

The paper presents results of an analysis of acoustic emission (AE) signals obtained during laser cutting of a steel plate, which is frequently used in the production of automotive body components. The acoustic emission in the plate, which is produced by various physical phenomena occurring during the laser cutting process, was measured with contact PZT sensors. During the laser cutting process...

The present work analyses different parameters of end milling to minimize the surface roughness for AISI D2 steel. D2 Steel is generally used for stamping or forming dies, punches, forming rolls, knives, slitters, shear blades, tools, scrap choppers, tyre shredders etc. Surface roughness is one of the main indices that determines the quality of machined products and is influenced by various cut...

This paper utilizes the regression modeling in turning process of En-31 steel using response surface methodology (RSM) with factorial design of experiments. A first-order and second-order surface roughness predicting models were developed by using the experimental data and analysis of the relationship between the cutting conditions and response (surface roughness). In the development of predict...