Observations are made regarding the influence of cutting speed and friction on cutting force by way of finite element modeling. Simulations are validated by comparison of cutting forces and chip morphologies for the Al6061-T6. Analysis of cutting forces over a wide range of cutting conditions suggests an important role of the secondary shear zone in the decrease of cutting force as a function o...

The goal of this research is to improve the productivity of Numerically Controlled (NC) machine tools by optimization of feedrate settings. In this paper we compare the maximum cutting forces and cutting times using traditional methods with those achieved using the optimization methods developed in our research. Results indicate that significant productivity gains can be realized using the feed...

Abstract—Water miscible cutting fluids are conventionally used to lubricate and cool the machining zone. But issues related to health hazards, maintenance and disposal costs have limited their usage, leading to application of Minimum Quantity Lubrication (MQL). To increase the effectiveness of MQL, nanocutting fluids are proposed. In the present work, water miscible nanographite cutting fluids ...

Burning fuels with high sulfur content leads to SOx emissions, especially SO2, which various environmental and health problems. The maritime sector is responsible for 13% of the global anthropogenic emissions SO2. Thus, International Maritime Organization (IMO) has issued a protocol, known as MARPOL Annex VI, aims further limit SO2 derived from ships along NOx, particulate matter volatile organ...

We survey the main formulations and solution methods for two-dimensional orthogonal cutting packing problems, where both items bins are rectangles. focus on exact relaxations four problems from literature: finding a with minimum height, into number of bins, maximum value, determining existence feasible packing.

The productivity of wood harvesting operations is one the main viability indicators forestry enterprise, which directly influenced by land, population, and operational planning characteristics. variables that affect machines are particularly difficult to measure have complex relationships, making it challenging predict operations. This study generated a model using machine learning (ML) techniq...