Multi-Point, Multi-Objective Optimisation of Centrifugal Fans by 3D Inverse Design Method
نویسندگان
چکیده
In this paper, we present the design and optimization of a centrifugal fan with requirements maximizing total-to-static pressure rise efficiency at two operating points maximum torque provided by motor power using 3D inverse method, DOE (design experiment) study, an RSM (response surface model) MOGA (multi-objective genetic algorithm). The geometry is parametrized 13 parameters, 120 different designs are generated. performances all conditions evaluated through steady-state CFD simulations. resulting matrix used to create based on Kriging method search space find optimal design.
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...
Evolutionary Design and Multi–objective Optimisation
In this paper we explore established methods for optimising multi-objective functions whilst addressing the problem of preliminary design. Methods from the literature are investigated and new ones introduced. All methods are evaluated within a collaborative project for whole system airframe design and the basic problems and difficulties of preliminary design methodology are discussed (Cvetković...
متن کاملMulti-objective Optimisation and Preliminary Airframe Design
In this paper we explore established methods for optimising multi-objective functions whilst addressing the problem of preliminary design. Methods from the literature are investigated and new ones introduced. All methods are evaluated within a collaborative project with British Aerospace for whole system airframe design and the basic problems and difficulties of preliminary design methodology a...
متن کاملThe COMOGA Method: Constrained Optimisation by Multi-Objective Genetic Algorithms
This paper describes a novel method for attacking constrained optimisation problems with evolutionary algorithms, and demonstrates its effectiveness over a range of problems. COMOGA (Constrained Optimisation by MultiObjective Genetic Algorithms) combines two evolutionary techniques for multiobjective optimisation with a simple regulatory mechanism to produce a constrained optimisation method. I...
متن کاملModeling and Multi-objective Optimization of Forward-curved Blade Centrifugal Fans Using Cfd and Neural Networks
In the present study, multi-objective optimization of Forward-Curved (FC) blade centrifugal fans is performed in three steps. In the first step, Head rise (HR) and the Head loss (HL) in a set of FC centrifugal fan is numerically investigated using commercial software NUMECA. Two meta-models based on the evolved group method of data handling (GMDH) type neural networks are obtained, in the secon...
متن کاملذخیره 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: International journal of turbomachinery, propulsion and power
سال: 2023
ISSN: ['2504-186X']
DOI: https://doi.org/10.3390/ijtpp8010008