2 research outputs found
Analysis and modeling of the effects of process parameters on specific cutting energy in abrasive water jet cutting
The problem of cutting difficult-to-machine materials used in the aerospace
industry, aircraft industry, and automobile industry, led to the
development and application one of today’s most attractive technology for
contour cutting - abrasive water jet cutting. For the efficient use of
abrasive water jet cutting, it is of great importance to analyze the impact
of process parameters on performance indicators, such as cutting quality,
productivity, and costs. But also, from the energy utilization point of
view, it is very important to analyze the impact of these parameters on the
specific cutting energy which represents the amount of energy spent on the
removal of material in the unit time. Having this in mind, this study
presents the experimental results of abrasive water jet cutting of aluminum
alloy with the aim of creating a mathematical model for estimating specific
cutting energy as an important indicator of the degree of utilization of
the available energy in the cutting process. The mathematical model of the
specific cutting energy is explicitly represented as a non-linear function
of the process parameters, obtained by the artificial neural network. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. TR
35034
Modeling of cutting temperature in the biomedical stainless steel turning process
Stainless steel is widely used as material in many industries and medicine.
As biomedical material, it has been used for making devices, implants as well
as tools and equipment in surgery and dentistry. The most of them is
processed by turning. Modeling of temperature in the metal cutting process is
very important step in understanding and analysis of the metal cutting
process. The objective of this study is to develop an artificial neural
network model which can be used successfully for accurate prediction of
cutting temperature while performing turning of the biomedical stainless
steel. Before the modeling, cutting temperature was measured, as one of the
significant parameters in turning process, by using the infrared thermal
imaging camera. Finally, based on the mathematical model, the effects of the
turning parameters on the cutting temperature were examined