Multi-objective parametric optimization of powder mixed electro-discharge machining using response surface methodology and non-dominated sorting genetic algorithm

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

Multi-objective optimization of discrete time–cost tradeoff problem in project networks using non-dominated sorting genetic algorithm

The time–cost tradeoff problem is one of the most important and applicable problems in project scheduling area. There are many factors that force the mangers to crash the time. This factor could be early utilization, early commissioning and operation, improving the project cash flow, avoiding unfavorable weather conditions, compensating the delays, and so on. Since there is a need to allocate e...

متن کامل

Optimization of Powder Mixed Electric Discharge Machining using ASTM A-105 Steel by Response Surface Methodology

The objective of this paper is to study the effect of the various process parameters i.e. peak current, noload voltage, pulse on time and duty cycle on response parameters by mixing silicon powder in the dielectric fluid of the Electric Discharge Machining (EDM). Response surface methodology (RSM) is used for investigating the effect on these parameters. Central composite design (CCD) is used f...

متن کامل

Parametric optimization of powder mixed electrical discharge machining for nickel-based superalloy inconel-800 using response surface methodology

Background: Electrical Discharge Machining (EDM) is a well-established non-conventional machining process for the machining of electrically conductive and difficult-to-machine materials. But its applications are limited because of the slow machining rate and poor surface finish. Powder mixed EDM (PMEDM) is unitary of the recent progresses in the EDM process in which powder particles mixed in th...

متن کامل

A New Non-dominated Sorting Genetic Algorithm for Multi-Objective Optimization 85 A New Non-dominated Sorting Genetic Algorithm for Multi-Objective Optimization

Multi-objective optimization (MO) is a highly demanding research topic because many realworld optimization problems consist of contradictory criteria or objectives. Considering these competing objectives concurrently, a multi-objective optimization problem (MOP) can be formulated as finding the best possible solutions that satisfy these objectives under different tradeoff situations. A family o...

متن کامل

Multi-objective robust optimization model for social responsible closed-loop supply chain solved by non-dominated sorting genetic algorithm

In this study a supply chain network design model has been developed considering both forward and reverse flows through the supply chain. Total Cost, environmental factors such as CO2 emission, and social factors such as employment and fairness in providing job opportunities are considered in three separate objective functions. The model seeks to optimize the facility location proble...

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: Sadhana

سال: 2012

ISSN: 0256-2499,0973-7677

DOI: 10.1007/s12046-012-0078-0