Measurement and analysis of thrust force in drilling of particle board (PB) composite panels

Testing and Modeling of Thrust Force and Torque in Drilling Recombinant Bamboo

“…The minimum thrust force was achieved by the combination of high spindle speed with low feed rate. These results are in good agreement with the results obtained in a previous work (Valarmathi et al 2012(Valarmathi et al , 2013. Figure 4b shows that A (spindle speed) and C (diameter of the drill) had more influence b a than B (feed rate) on the torque.…”

“…Zhao and Ehmann (2002) developed a mechanistic model for force and torque prediction throughout all phases of spade drill penetration. Valarmathi et al (2013) measured and analyzed the thrust force in drilling particle board panels. The results showed that the thrust force was minimized by the combination of high spindle speed and low feed rate.…”

Evaluation of delamination in drilling of bone

“…It has been effectively utilized by many researchers in past for the modeling of complex machining processes [21][22][23][24][25][26][27][28]. The relationship between the desired response and the independent variable can be expressed as:…”

A Neural Network Based Prediction Modeling for Machinability Characteristics of Zea Fiber-Polyester Composites

“…Response surface methodology (RSM) was employed to develop the mathematical models between input parameters and output responses which were used to predict the responses with a reasonable accuracy over a wide range of drilling conditions. The Artificial neural network (ANN) models were regarded as multivariate non-linear analytical tools capable of recognizing patterns from testing data and estimating their non-linear relationships, and build a network directly from experimental data by its self-organizing capabilities [11][12][13][14]. Chakraborty et al [15] have found the ANN based applications in various fields relating to composites.…”