Efficient Multi-Objective CFD-Based Optimization Method for a Scroll Distributor

نویسندگان

چکیده

An efficient approach to the geometry optimization problem of a non-axisymmetric flow channel is discussed. The method combines geometrical transformation with computational fluid dynamics solver, multi-objective genetic algorithm, and response surface. This approach, through modifications simplifications allows transforming into axisymmetric one in some specific devices i.e., scroll distributor or volute. It results significant decrease size, as only quasi-2D section solved. A significantly broader design space covered much shorter time than standard method, large problems feasible desktop-class computers. One point obtained approximately eight times faster full computations. was applied distributor. For case under analysis, it possible increase uniformity, eradicate separation zones, overall efficiency, which followed by energy savings 16% for scroll. indicate that this can be successfully similar problems.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

solution of security constrained unit commitment problem by a new multi-objective optimization method

چکیده-پخش بار بهینه به عنوان یکی از ابزار زیر بنایی برای تحلیل سیستم های قدرت پیچیده ،برای مدت طولانی مورد بررسی قرار گرفته است.پخش بار بهینه توابع هدف یک سیستم قدرت از جمله تابع هزینه سوخت ،آلودگی ،تلفات را بهینه می کند،و هم زمان قیود سیستم قدرت را نیز برآورده می کند.در کلی ترین حالتopf یک مساله بهینه سازی غیر خطی ،غیر محدب،مقیاس بزرگ،و ایستا می باشد که می تواند شامل متغیرهای کنترلی پیوسته و گ...

A multi-objective optimization method based on simplex search method

In this paper, a method based on Nelder and Mead’s simplex search method, is developed for solving multi-objective optimization problems. Unlike other multi-objective optimization algorithms based on classical methods, this method does not require any a priori knowledge about the problem. Moreover, it does not need any pre-defined weights or additional constraints as it works without scalarizin...

متن کامل

The Quasi-Normal Direction (QND) Method: An Efficient Method for Finding the Pareto Frontier in Multi-Objective Optimization Problems

In managerial and economic applications, there appear problems in which the goal is to simultaneously optimize several criteria functions (CFs). However, since the CFs are in conflict with each other in such cases, there is not a feasible point available at which all CFs could be optimized simultaneously. Thus, in such cases, a set of points, referred to as 'non-dominate' points (NDPs), will be...

متن کامل

A New Approach Applying Multi-objective Optimization using a Taguchi Fuzzy-based for Tourist Satisfaction Management

The paper describes the usage of the fuzzy Mamdani analysis and Taguchi method to optimize the tourism satisfaction in Thailand. The fuzzy reasoning system is applied to pursue the relationships among the options of a tour company in order to be used in Taguchi experiments as the responses. In this research, tourism satisfaction is carried out using L18 Taguchi orthogonal arrays on parameters s...

متن کامل

Eyelid Detection Method Based on a Fuzzy Multi-Objective Optimization

Iris recognition is one of the most robust human identification methods. In order to carry out accurate iris recognition, many factors of image quality should be born in mind. The eyelid occlusion is a quality factor that may significantly affect the accuracy. In this paper we introduce a new fuzzy multi-objective optimization approach based on the eyelid detection method. This method obtains t...

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: Energies

سال: 2021

ISSN: ['1996-1073']

DOI: https://doi.org/10.3390/en14020377