Modeling of manufacturing operations is an important tool for production planning, optimization and control. Artificial neural networks (ANNs) can handle strong non-linearity, large number of parameters, missing information. Based on their inherent learning capabilities ANNs can adapt themselves to changes of the production environment and can be used also in the case if there is no exact knowl...

Machining can be outlined as the process of taking away material from a work piece in the grade of chips. During a machining process, isolated of the energy is turned into heat energy through the detritions yielded between the tool and the work piece and the plastic deformation of the work material in the machining zone. Turning is charmed by several constituents, for example, the cutting speed...

Optimum selection of cutting conditions importantly contribute to the increase of productivity by minimization of production time and the associated costs, therefore utmost attention is paid to this problem in this contribution. Time is the most important parameter in any operation and all the manufacturing firms aim at producing a product in minimum time to reach the customer quickly and enhan...

An attempt has been made to investigate the machinability of zirconia toughened alumina (ZTA) inserts while turning AISI 4340 steel. The insert was prepared by powder metallurgy process route and the machining experiments were performed based on Response Surface Methodology (RSM) design called Central Composite Design (CCD). The mathematical model of flank wear, cutting force and surface roughn...

To understand the physical phenomena generated during cutting processes, the characterization of the temperature field is essential. The temperature is an important parameter controlling to tool wear and consequently the life duration, the quality of the surface finish, chip segmentation and the choice of lubrication. Furthermore, thermal aspects become more important with high cutting speeds u...

In the case of low immersion high-speed milling, the ratio of time spent cutting to not cutting can be considered as a small parameter. In this case the classical regenerative vibration model of machine tool vibrations reduces to a simplified discrete mathematical model. The corresponding stability charts contain stability boundaries related to period doubling and Neimark-Sacker bifurcations. T...

A computational study of some logarithmic barrier decomposition algorithms for semi{innnite programming is presented in this paper. The conceptual algorithm is a straightforward adaptation of the logarithmic barrier cutting plane algorithm which was presented recently by den Hertog et al., to solve semi-innnite programming problems. Usually decomposition (cutting plane methods) use cutting plan...

We propose a miniature processing head for laser cutting of metal sheets. The thermally-induced focal shift is exacerbated at low values of the beam parameter product, but it is possible to arrange the optical elements such that the focal shift and beam waist variation cancel out. Collimating and focusing low-NA beams with short focal lenses make it possible to use standard plano-convex lenses ...

The aim of this research is to investigate the optimization of cutting parameters (cutting speed, feed rate and depth of cut) for surface roughness and metal removal rate in turning of AISI 8620 steel using coated carbide insert. Experiments have been carried out based on Taguchi L9 standard orthogonal array design with three process parameters namely cutting speed, feed rate and depth of cut f...

The coupling between structural phase transformations and dislocations induces challenges in understanding the deformation behavior of metallic cerium at the nanoscale. In the present work, we elucidate the underlying mechanism of cerium under ultra-precision diamond cutting by means of molecular dynamics modeling and simulations. The molecular dynamics model of diamond cutting of cerium is est...