Power consumption cost is one of the main integral parts of the total machining cost, but it has not given the proper attention when minimizing the machining cost. In this paper, the optimal machining parameters for continuous machining are determined with respect to the minimum power consumption cost with maintaining the surface roughness in the range of acceptance. The constraints considered in this research are cutting speed, feed rate, depth of cut and rake angle. Due to complexity of this machining optimization problem, a multi objective genetic algorithm (MOGA)was applied to resolve the problem, and the results have been analyzed
This study proposes a hybrid optimization method which can help users to find optimal cutting parame...
The optimal selection of the machining parameters remains of great interest in manufacturing industr...
AbstractAn optimization paradigm based on genetic algorithms (GA) for the determination of the cutti...
Energy-saving and emission reduction are recognized as the primary measure to tackle the problems as...
Optimal machining parameters are very important for every machining process. This paper presents an ...
In material removal process, turning is one of the oldest processes that were introduced to remove ...
AbstractParametric optimization of turning process is a multi-objective optimization task. In genera...
Energy efficiency is one of the main drivers for achieving sustainable manufacturing. Advances in ma...
Machining of hard materials at high cutting speeds produces high temperatures in the cutting zone, ...
In machining process, turning is one of process that were significantly change by introduction of co...
Most resource efficiency optimization measures being discussed in resent publications focus on compo...
In metal cutting processes, cutting conditions have an influence on reducing the production cost and...
AbstractMicro turning is a process by which micro components can be produced.This paper deals with C...
This study about development of optimization for turning parameters based on the Genetic Algorithm (...
The aim of this paper is to improve CNC programming of machine tools and to minimize the need for hu...
This study proposes a hybrid optimization method which can help users to find optimal cutting parame...
The optimal selection of the machining parameters remains of great interest in manufacturing industr...
AbstractAn optimization paradigm based on genetic algorithms (GA) for the determination of the cutti...
Energy-saving and emission reduction are recognized as the primary measure to tackle the problems as...
Optimal machining parameters are very important for every machining process. This paper presents an ...
In material removal process, turning is one of the oldest processes that were introduced to remove ...
AbstractParametric optimization of turning process is a multi-objective optimization task. In genera...
Energy efficiency is one of the main drivers for achieving sustainable manufacturing. Advances in ma...
Machining of hard materials at high cutting speeds produces high temperatures in the cutting zone, ...
In machining process, turning is one of process that were significantly change by introduction of co...
Most resource efficiency optimization measures being discussed in resent publications focus on compo...
In metal cutting processes, cutting conditions have an influence on reducing the production cost and...
AbstractMicro turning is a process by which micro components can be produced.This paper deals with C...
This study about development of optimization for turning parameters based on the Genetic Algorithm (...
The aim of this paper is to improve CNC programming of machine tools and to minimize the need for hu...
This study proposes a hybrid optimization method which can help users to find optimal cutting parame...
The optimal selection of the machining parameters remains of great interest in manufacturing industr...
AbstractAn optimization paradigm based on genetic algorithms (GA) for the determination of the cutti...
Add to ORKG