In this study, Simulated Annealing (SA) and Genetic Algorithm (GA) soft computing techniques are integrated to estimate optimal process parameters that lead to a minimum value of machining performance. Two integration systems are proposed, labeled as integrated SAGA -type1 and integrated SAGA -type2. The approaches proposed in this study involve six modules, which are experimental data, regress...

CNC machining is known as an advanced machining process increasingly used for modern materials. This paper outlines modeling methodology applied to optimize cutting parameters during CNC milling with ball end mill tool. The parameters taken into account were radial depth of cut and feed per tooth. A predictive model was based on artificial neural network approach. Key-Words: Modeling, artificia...

The purpose of the present investigation is to compare the statistically controlled machining solution of titanium alloys using ultrasonic machining (USM). In this study, the previously developed Taguchi model for USM of titanium and its alloys has been investigated and compared. Relationships between the material removal rate, tool wear rate, surface roughness and other controllable machining ...

optimization of machining parameters is very important and the main goal in every machining process. surface finishing prediction is a pre-requirement to establish a center for automatic machining operations. in this research, a neuro-fuzzy approach is used in order to model and predict the surface roughness in dry turning. this approach has both the learning capability of neural network and li...

This paper focused on evaluation of machining parameters influencing thrust force during drilling of Al–SiC–Gr metal matrix composites using multifaceted carbide drills. There are three machining parameters i.e. Spindle speed, Feed rate, Drill diameter. Experiments are conducted on a vertical machining centre using Taguchi design of experiments. Taguchi orthogonal array is designed with three l...

Electrochemical machining (ECM) is a non-traditional machining process used mainly to cut hard or difficult to cut metals, where the application of a more traditional process is not convenient. It offers several special advantages including higher machining rate, better precision and control, and a wider range of materials that can be machined. A suitable selection of machining parameters for t...

Turning of hardened steels using a single point cutting tool has replaced the cylindrical grinding now as it offers attractive benefits in terms of lower equipment costs, shorter set up time, fewer process setups, higher material removal rate, better surface quality and elimination of cutting fluids compared to cylindrical grinding. In order to obtain desired surface quality by machining, pr...

Optimization of machining parameters is a vital task for increasing machining efficiency and economics. Selection of optimal machining parameters is often performed by integrating empirical models with traditional mathematical and meta-heuristic algorithms. Ability to deal with complex and multi-dimensional optimization problems resulted in growing interest on the application of meta-heuristic ...

Machining of glass fiber reinforced plastic composite materials is an active area of research in current manufacturing processes. Achieving an improved surface finish is of high priority while machining the polymer based plastics composites due to the poor machinability of glass fibers. The present work deals with the study and development of a surface roughness prediction model for machining u...