Fundamental Studies on Cutting Phenomena in Plasma Arc Cutting (1st Report)

Modeling the Plasma Arc Cutting Process Using Ann

This paper deals with modeling of plasma cutting process using artificial neural network (ANN). The objective was to develop an ANN model in order to predict the ten-point height of irregularities (Rz) in terms of three input parameters, cutting current, plate thickness and cutting speed. To this aim, a feed-forward backpropagation ANN was developed and trained using the experimental data. Afte...

Investigation of Physical Phenomena and Cutting Efficiency for Laser Cutting on Anode for Li-Ion Batteries

Lithium-ion batteries have a higher energy density than other secondary batteries. Among the lithium-ion battery manufacturing process, electrode cutting is one of the most important processes since poor cut quality leads to performance degradation, separator protrusion, and local electric stress concentration. This may, eventually, lead to malfunction of lithium-ion batteries or explosion. The...

Numerical Modelling of a Cutting Arc Torch

Nanoscale Studies on Aggregation Phenomena in Nanofluids

Understanding the microscopic dispersion and aggregation of nanoparticles at nanoscale media has become an important challenge during the last decades. Nanoscale modeling techniques are the important tools to tackle many of the complex problems faced by engineers and scientists. Making progress in the investigations at nanoscale whether experimentally or computationally has helped understand th...

Cutting Stock with Binary Patterns: Arc-flow Formulation

The cutting stock problem with binary patterns (0-1 CSP) is a variant of CSP that usually appears as a relaxation of 2D and 3D packing problems. We present an exact method, based on an arc-flow formulation with side constraints, for solving 0-1 CSP by simply representing all the patterns in a very compact graph. Gilmore-Gomory’s column generation approach is usually used to compute strong lower...