Application of response surface method in the separation of radioactive material: a review

Abstract Response Surface Method (RSM) is one of the most popular and powerful tools for experimental design and optimization. This paper first reviewed the research progress of RSM in the separation and recovery of various radioactive materials, and verified the application of RSM in adsorption isotherm analysis and thermodynamic calculation. The main advantage of RSM in radioactive material separation is the reduction in the number of experiments required, resulting in considerably less radioactive material consumption, secondary waste generation, workload and radiation dose, which is valuable for the research of radioactive material separation.

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Design and Optimization of a Linear Piezoelectric Motor using Response Surface Method

Mechanics of Solids ◽

10.3103/s0025654421050204 ◽

2021 ◽

Vol 56 (5) ◽

pp. 873-884

Author(s):

Adel Zemirline ◽

Abdellah Abdellah El Hadj ◽

Shayfull Z. B. Abd Rahim ◽

Mohammed Ouali

Keyword(s):

Response Surface ◽

Response Surface Method ◽

Piezoelectric Motor ◽

Design And Optimization ◽

Surface Method

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Proper Orthogonal Decomposition and Response Surface Method for TPS/RLV Structural Design and Optimization: X-34 Case Study

43rd AIAA Aerospace Sciences Meeting and Exhibit ◽

10.2514/6.2005-839 ◽

2005 ◽

Cited By ~ 8

Author(s):

Lei Tang ◽

Ping-Chih Chen ◽

Danny Liu ◽

Xiao-Wei Gao ◽

Wei Shyy ◽

...

Keyword(s):

Proper Orthogonal Decomposition ◽

Response Surface ◽

Response Surface Method ◽

Structural Design ◽

Orthogonal Decomposition ◽

Design And Optimization ◽

Surface Method ◽

Proper Orthogonal

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Sensitivity Analysis of Airdrop Condition Parameters Based on Response Surface Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.565.92 ◽

2014 ◽

Vol 565 ◽

pp. 92-97 ◽

Cited By ~ 1

Author(s):

Jian Yang Li ◽

Hong Yan Wang ◽

Qiang Rui ◽

Huang Jie Hong

Keyword(s):

Sensitivity Analysis ◽

Finite Element ◽

Response Surface ◽

Response Surface Method ◽

Scientific Explanation ◽

New Technology ◽

Design And Optimization ◽

Surface Method ◽

Airborne Vehicle ◽

Important Significance

The airborne vehicle would suffer from impact at landing. The magnitude of impact and stability of airborne vehicle are constraint parameters of successful landing. There was a lack of scientific explanation on the sensitivity of landing condition parameters. For overcoming the deficiency of classical sensitivity analysis, this paper describes the application of new technology for the sensitivity analysis. Based on the Finite Element and Response Surface method, the research on sensitivity analysis of landing condition parameters was proposed. The results have important significance in the design and optimization of airborne vehicle and airbags system. It can be also provide guidance for airdrop operation.

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Novel Approach to Ship Multidisciplinary Design and Optimization Using Genetic Algorithm and Response Surface Method

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.118-120.967 ◽

2010 ◽

Vol 118-120 ◽

pp. 967-971

Author(s):

Hesham Gorshy ◽

Xue Zheng Chu ◽

Liang Gao ◽

Hao Bo Qiu

Keyword(s):

Genetic Algorithm ◽

Response Surface ◽

Response Surface Method ◽

Latin Hypercube Sampling ◽

Approximate Solutions ◽

Ship Design ◽

Multidisciplinary Design ◽

Design And Optimization ◽

Surface Method ◽

Novel Approach

Ship design is a complex engineering effort required excellent coordination between the various disciplines and essentially applies iteration to satisfy the relevant requirements, such as stability, power, weight, and strengths. Through, all-in-one Multidisciplinary Design Optimization (MDO) approach is proposed to get the optimum performance of the ship considering three disciplines, power of propulsion, ship loads and structure. In this research a Latin Hypercube Sampling (LHS) is employed to improve the space filling property of the design and explore it to sample data for covering the design space. To avoid the problem of huge calculation time and saving the develop time, a quadratic Response Surface Method (RSM) is adopted as an approximation model to study the relation between a set of design variables and the system output for solving the system design problems. A genetic algorithm (GA) is adopted as search technique used in computing to find exact or approximate solutions to optimize and search problems and appropriate design result in MDO in ship design. Finally, the validity of the proposed approach is proven by a case study of a bulk carrier.

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