OPTIMIZATION OF MULTI-PASS FACE MILLING PARAMETERS USING METAHEURISTIC ALGORITHMS

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimization of Machining Parameters for Face Milling Operation using ANOVA

To remain successful in today’s competitive market, the manufacturers should rely on their Engineers and production professionals for quick and effective manufacturing setup and also to achieve Quality products. The machining process on a CNC Milling is programmed by speed, feed rate, and cutting depth, which are frequently determined based on the job shop experiences However, the machine perfo...

متن کامل

Genetic algorithm based optimization and post optimality analysis of multi-pass face milling

This paper presents an optimization technique for the multi-pass face milling process. Genetic algorithm (GA) is used to obtain the optimum cutting parameters by minimizing the unit production cost for a given amount of material removal. Cutting speed, feed and depth of cut for the finish and rough passes are the cutting parameters. An equal depth of cut for roughing passes has been considered....

متن کامل

Numerical Modeling and Multi Objective Optimization of Face Milling of AISI 304 Steel

There is a requirement to find accurate parameters to accomplish precise dimensional accuracy, excellent surface integrity and maximum MRR. This work studies the influence of various cutting parameters on output parameters like Cutting force, Surface roughness, Flatness, and Material removal rate while face milling. A detailed finite element model was developed to simulate the face milling proc...

متن کامل

Cutting Parameter Optimization for End Milling Operation Using Advanced Metaheuristic Algorithms

In die manufacturing industries surface roughness is considered as a vital quality characteristic in order to retain the consumers’ satisfaction. On the other hand, manufacturers want to minimize the machining time which eventually reduces their cost. This research deals with an optimization problem to minimize the machining time (T) for end milling operation on hot die steel (H13), subject to ...

متن کامل

Gene Clustering Using Metaheuristic Optimization Algorithms

Gene clustering is a familiar step in the exploratory analysis of high dimensional biological data. It is the process of grouping genes of similar patterns in the same cluster and aims at analyzing the functions of gene that leads to the development of drugs and early diagnosis of diseases. In the recent years, much research has been proposed using nature inspired meta-heuristic algorithms. Cuc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Facta Universitatis, Series: Mechanical Engineering

سال: 2019

ISSN: 2335-0164,0354-2025

DOI: 10.22190/fume190605043d