Identification of inelastic parameters based on deep drawing forming operations using a global–local hybrid Particle Swarm approach

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

An Investigation on the Effects of Optimum Forming Parameters in Hydromechanical Deep Drawing Process Using the Genetic Algorithm

The present research work is concerned with the effects of optimum process variables in elevated temperature hydro-mechanical deep drawing of 5052 aluminum alloy. Punch-workpiece and die-workpiece friction coefficients together with the initial gap between the blank holder and matrix were considered as the process variables which, in optimization terminology, are called design parameters. Since...

متن کامل

Economic Dispatch of Power Systems using Hybrid Particle Swarm Algorithm based on Sin-Cos Accleration Coefficient

Abstract: Distribution economic burden in power system is one of the important and essential issues in power plant production planning. This thesis presents the economic burden for generating power plants with smooth and uneven functions and considering the constraints of the power plant (steam valve, forbidden areas, with and without transmission losses) in a multi-generator power system. The ...

متن کامل

A Multi-Objective Hybrid Particle Swarm Optimization-based Service Identification

Service identification step is a basic requirement for a detailed design and implementation of services in a Service Oriented Architecture (SOA). Existing methods for service identification ignore the automation capability while providing human based prescriptive guidelines, which mostly are not applicable at enterprise scales. In this paper, we propose a top down approach to identify automatic...

متن کامل

Identification of Jiles–Atherton Model Parameters Using Particle Swarm Optimization

This paper presents the use of the Particle Swarm Optimization for the identification of Jiles-Atherton model parameters. This approach is tested on two magnetic materials : NO 3% SiFe and NiFe 20-80. Results are compared with those obtained with a direct search method. Experimental validations are also presented.

متن کامل

an experimental/numerical study on the effect of forming parameters in sheet hydrodynamic deep drawing

there are many parameters that affect the sheet hydroforming process such as fluid pressure, material properties, interfacial friction between blank and tool surfaces, etc. in this paper, a fem-based taguchi method is used to determine the effects of forming parameters on the quality of part formability in the process of hydrodynamic deep drawing assisted by radial pressure. four important form...

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: Comptes Rendus Mécanique

سال: 2016

ISSN: 1631-0721

DOI: 10.1016/j.crme.2015.07.015