Optimization of Milling Conditions by Using Particle Swarm Optimization Technique: A Review
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2014 by IJETT Journal|
|Year of Publication : 2014|
|Authors : Sagar Bahirje , Prof.Vishvajeet Potdar
|DOI : 10.14445/22315381/IJETT-V18P251|
Sagar Bahirje , Prof.Vishvajeet Potdar "Optimization of Milling Conditions by Using Particle Swarm Optimization Technique: A Review", International Journal of Engineering Trends and Technology (IJETT), V18(6),248-251 Dec 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
a review of publications associated with the optimization of milling conditions by particle swarm analysis method. Milling is the most common form of machining, a material removal process, which can create a variety of features on a part by cutting away the unwanted material In order to optimize the cutting conditions, the empirical relationships between input and output variables should be established in order to predict the output. Optimization of these predictive models helps us to select appropriate input variables for achieving the best output performance. In this review paper the study is covered regarding the optimization of different input parameters and results are analyzed.
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Milling, Particle swarm optimization, Process parameter optimization