Milenko Sekulić

Application of Neuro-Fuzzy Systems for Modeling Surface Roughness Parameters for Difficult-to-Cut-Steel

The objective of this study is to examine the influence of machining parameters on surface finish in turning difficult-to-cut-steel. A new approach in modeling surface roughness which uses design of experiments is described in this paper. The values of surface roughness predicted by different models are then compared. Adaptive-neuro-fuzzy-inference system (ANFIS) was used. The results showed that the proposed system can significantly increase the accuracy of the product profile when compared to the conventional approaches. The results indicate that the design of experiments with central composition plan modeling technique can be effectively used for the prediction of the surface roughness for difficult-to-cut-steel.

An Analytical Study of Energy Partition in Grinding

This paper indicates the occurrence of high thermal energy in the surface layer of workpiece material during the process of grinding. To help identify the share of heat which affects the workpiece, firstly the analysis of past research in the field of heat transfer during grinding was conducted. Further there is a proposition of analytical expression for heat distribution factor to the workpiece in the grinding process. Goal of this analytical dependence is to achieve more efficient production of mechanical parts without thermal defects in the surface layer of the part. Presented equation for energy partition has a characteristic of widespread practical use.

MODELING OF CUTTING FORCES IN BALL-END MILLING PROCESS OF HARD (HARDENED) STEEL BY USING RESPONSE SURFACE METHODOLOGY

Received: 06 September 2017 / Accepted: 02 November 2017 Abstract: The possibility of modeling the cutting forces provides an analytical basis for the planning of the machining process, for the construction of machine tool, the optimization of cutting tool geometry as well as on-line monitoring and process management. The planning and execution of the experiment was carried out on the basis of the rotatable central composite design-RCCD here for the input independent parameters the cutting speed was selected, i.e. the spindle speed (n), the feed per tooth (fz), the axial (ap) and radial (ae) depth of cut. Cutting forces (Fx,Fy,Fz) and the resultant cutting force (FR) for the responsive variables are selected. Using the RSM methodology, reliable mathematical models for cutting forces in the form of quadratic polynomials were obtained.

Using Advanced CAM System in Modern Machining

Goal of this paper highlight characteristics and spectrum of machining cutting sequences that programming system SolidCAM support. The practical goal of this paper is defining post-processor and machine simulation for 3-axis CNC machine like a tool for verification modern tool-path and generation G-code that will be used for cutting real part.