Genetic Algorithm-based Optimization of Cutting Parameters in Turning Processes
نویسندگان
چکیده
منابع مشابه
Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes
Determination of optimal cutting parameters is one of the most important elements in any process planning of metal parts. This paper presents a multi-objective optimization technique, based on genetic algorithms, to optimize the cutting parameters in turning processes: cutting depth, feed and speed. Two conflicting objectives, tool life and operation time, are simultaneously optimized. The prop...
متن کاملOptimization of Cutting Parameters in Turning Process
Predicting the main cutting force during turning is of great importance as it helps in setting the appropriate cutting parameters before machining starts.Again, optimization of cutting parameters is one of the most important elements in any process planning of metal parts as economy of machining operation plays a key role in gaining competitive advantage. This paper presents an experimental stu...
متن کاملOptimization of cutting parameters in CNC Turning
Many manufacturing industries involve machining operations. In metal cutting the turning process is one of the most fundamental cutting processes used. Surface finish and dimensional tolerance, are used to determine and evaluate the quality of a product, and are major quality attributes of a turned product. In this paper experimental work has been carried out for the optimization of input param...
متن کاملA Real Coded Genetic Algorithm for Optimization of Cutting Parameters in Turning
Asso. Prof.,Dept. of Mech. Engg. G.I.E.T, Rajahmundry, A.P, India DGM (Retd.), B.H.E.L, R&D, Balanagar, Hyderabad, A.P, India Abstract Surface roughness, an indicator of surface quality is one of the most specified customer requirements in a machining process. For efficient use of machine tools, optimum cutting parameters (speed, feed and depth of cut) are required. So it is necessary to find a...
متن کاملOptimization of Cutting Parameters for Surface Roughness in Turning
The optimized cutting parameters are very important to control the required surface quality. In the present study, Taguchi method is used to find the optimal cutting parameters for surface roughness (Ra) in turning. The L-18 orthogonal array, the signal-to-noise ratio & analysis of variance are employed to study the performance characteristics in turning operations of AISI-410 steel bars using ...
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ژورنال
عنوان ژورنال: Procedia CIRP
سال: 2013
ISSN: 2212-8271
DOI: 10.1016/j.procir.2013.05.055