Continuous trichloroethylene biodegradation by Pseudomonas putida F1 in a biofilm reactor and determination of an optimal feeding path via a response surface model

The direct determination of partial molar volumes and reaction volumes in ultra-dilute non-reactive and reactive multi-component systems using a combined spectroscopic and modified response surface model approach

Dalton Transactions ◽

10.1039/b515298d ◽

2006 ◽

pp. 1505 ◽

Cited By ~ 7

Author(s):

Martin Tjahjono ◽

Ayman D. Allian ◽

Marc Garland

Keyword(s):

Response Surface ◽

Direct Determination ◽

Partial Molar Volumes ◽

Response Surface Model ◽

Surface Model ◽

Molar Volumes ◽

Component Systems ◽

Reaction Volumes ◽

Model Approach

The development of a response surface model for the determination of infinite dilution partial molar volumes and excess volumes from dilute multi-component data alone. Implications for the characterization of non-isolatable solutes in complex homogeneous reactive systems

Chemical Engineering Science ◽

10.1016/j.ces.2004.12.044 ◽

2005 ◽

Vol 60 (12) ◽

pp. 3239-3249 ◽

Cited By ~ 10

Author(s):

Martin Tjahjono ◽

Liangfeng Guo ◽

Marc Garland

Keyword(s):

Response Surface ◽

Infinite Dilution ◽

Reactive Systems ◽

Partial Molar Volumes ◽

Response Surface Model ◽

Excess Volumes ◽

Surface Model ◽

Molar Volumes

Reliability design optimization for a pressure shell based on a response surface model

Artificial Intelligence and Industrial Application ◽

10.2495/aiia140311 ◽

2015 ◽

Author(s):

J. Wang ◽

Y. J. Pang ◽

Z. Y. Yang ◽

L. H. Zhang

Keyword(s):

Design Optimization ◽

Response Surface ◽

Response Surface Model ◽

Surface Model ◽

Reliability Design

Fuzzy multi-objective optimization of a train suspension using response surface model

10.2514/6.2000-4762 ◽

2000 ◽

Cited By ~ 5

Author(s):

Tael Lee ◽

Kwangki Lee ◽

Chankyoung Park

Keyword(s):

Response Surface ◽

Response Surface Model ◽

Surface Model ◽

Multi Objective Optimization ◽

Multi Objective

Secondary Nozzle of HYLTE Nozzle Optimization Based on Response Surface Model

39th Plasmadynamics and Lasers Conference ◽

10.2514/6.2008-4005 ◽

2008 ◽

Author(s):

Jing Lei ◽

Lin Lai ◽

Zhen-guo Wang

Keyword(s):

Response Surface ◽

Response Surface Model ◽

Surface Model

Faculty Opinions recommendation of Response surface model predictions of emergence and response to pain in the recovery room: An evaluation of patients emerging from an isoflurane and fentanyl anesthetic.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1165448.5099068 ◽

2010 ◽

Author(s):

James Szocik ◽

Roy Kukreja

Keyword(s):

Response Surface ◽

Recovery Room ◽

Response Surface Model ◽

Surface Model ◽

Model Predictions

Optimization of the design of radar-absorbing composite structures using response surface model with verification using scanning free space measurement

Composite Structures ◽

10.1016/j.compstruct.2017.11.075 ◽

2018 ◽

Vol 186 ◽

pp. 106-113 ◽

Cited By ~ 4

Author(s):

Dae-Sung Son ◽

Jong-Min Hyun ◽

Jung-Ryul Lee ◽

Won-Jun Lee

Keyword(s):

Response Surface ◽

Free Space ◽

Composite Structures ◽

Response Surface Model ◽

Surface Model ◽

Space Measurement

Main Factor Sensitivity Analysis Based on Response Surface Model Updating of Port Crane Structure

Journal of Coastal Research ◽

10.2112/si73-029.1 ◽

2015 ◽

Vol 73 ◽

pp. 166-172 ◽

Cited By ~ 4

Author(s):

Weiguo Zhang ◽

Yuan Liu

Keyword(s):

Sensitivity Analysis ◽

Response Surface ◽

Model Updating ◽

Response Surface Model ◽

Surface Model ◽

Main Factor

Production of fermentable sugars and polyhydroxybutyrate from hybrid poplar: Response surface model optimization of a hot-water pretreatment and subsequent enzymatic hydrolysis

Biomass and Bioenergy ◽

10.1016/j.biombioe.2014.09.030 ◽

2014 ◽

Vol 71 ◽

pp. 275-284 ◽

Cited By ~ 13

Author(s):

Jing Dai ◽

Armando G. McDonald

Keyword(s):

Enzymatic Hydrolysis ◽

Response Surface ◽

Hybrid Poplar ◽

Response Surface Model ◽

Hot Water ◽

Fermentable Sugars ◽

Surface Model ◽

Model Optimization ◽

Water Pretreatment ◽

Hot Water Pretreatment

Optimization Design of Pressure Shell in Underwater Vehicle Based on Response Surface Model

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.419-420.89 ◽

2009 ◽

Vol 419-420 ◽

pp. 89-92

Author(s):

Zhuo Yi Yang ◽

Yong Jie Pang ◽

Zai Bai Qin

Keyword(s):

Finite Element ◽

Response Surface ◽

Optimization Design ◽

Engineering Application ◽

Element Model ◽

Response Surface Model ◽

Design Stage ◽

Surface Model ◽

Design Variables ◽

Structure Strength

Cylinder shell stiffened by rings is used commonly in submersibles, and structure strength should be verified in the initial design stage considering the thickness of the shell, the number of rings, the shape of ring section and so on. Based on the statistical techniques, a strategy for optimization design of pressure hull is proposed in this paper. Its central idea is that: firstly the design variables are chosen by referring criterion for structure strength, then the samples for analysis are created in the design space; secondly finite element models corresponding to the samples are built and analyzed; thirdly the approximations of these analysis are constructed using these samples and responses obtained by finite element model; finally optimization design result is obtained using response surface model. The result shows that this method that can improve the efficiency and achieve optimal intention has valuable reference information for engineering application.