نتایج جستجو برای: design of experiment doe

تعداد نتایج: 21240571  

Journal: :Eurasian journal of biological and chemical sciences 2022

Investigation various nitrogen sources effects on the production of invertase by Aspergillus niger was researched in this study. Invertase is a precious enzyme used many industries like food, pharmacy, confectionery, invert syrup production. Taguchi design experiment (DOE) preferred to optimize cultivation conditions. L16 (43) orthogonal array selected current study including source, initial pH...

2009
Chang Yong Song

Engine mount is purposed to control an excessive motion generated from powertrain system and to isolate vibration and noise to be transmitted to main system. As vibration design of engine mount is one of the main items on the phase of vehicle development, the design should be optimized considering various design variables and uncertainties. In the study, design optimization of engine mount for ...

Journal: :Journal of physics 2021

Abstract This paper proposes an integrated simulation method of the performance and reliability for aerospace electromechanical products, which can obtain parameters product through digital simulation, so as to guide design product, taking into account factors that affect in stage. is based on a multidisciplinary model, comprehensively considers failure mode mechanism product. Through DESIGN OF...

D.P. Samsoloman S. Balamurugan

Heat exchangers are one of the most important devices of mechanical systems in modernsociety. Most industrial processes involve the transfer of heat and more often they requirethe heat transfer process to be controlled. A heat exchanger is the heat exchanged betweentwo media, one being cold and the other being hot. There are different types of heatexchanger, but the type which is widely used in...

Journal: :Journal of the American Society for Mass Spectrometry 2016
Elizabeth S Hecht Ann L Oberg David C Muddiman

Mass spectrometry (MS) has emerged as a tool that can analyze nearly all classes of molecules, with its scope rapidly expanding in the areas of post-translational modifications, MS instrumentation, and many others. Yet integration of novel analyte preparatory and purification methods with existing or novel mass spectrometers can introduce new challenges for MS sensitivity. The mechanisms that g...

2015
Nicholas J. Gaul Mary Kathryn Cowles

This paper develops a new modified Bayesian Kriging (MBKG) surrogate modeling method for problems in which simulation analyses are inherently noisy and thus standard Kriging approaches fail to properly represent the responses. The purpose is to develop a method that can be used to carry out reliability analysis to predict probability of failure. The formulation of the MBKG surrogate modeling me...

Abstract Human insulin-like growth factor I (hIGF-I) is a kind of growth factor with clinical significance in medicine. The major objective of this study is over- production of recombinant human insulin-like growth factor I( rhIGF-I) through a developed process by recruiting effective factors in order to achieve the most recombinant protein. Up to now E. coli expression system has been widely us...

Abstract Human insulin-like growth factor I (hIGF-I) is a kind of growth factor with clinical significance in medicine. The major objective of this study is over- production of recombinant human insulin-like growth factor I( rhIGF-I) through a developed process by recruiting effective factors in order to achieve the most recombinant protein. Up to now E. coli expression system has been widely us...

2010
Chih-Wei Tsai Lee-Ing Tong Chung-Ho Wang

Multiple responses must usually be considered when designing or developing complex products/processes. Therefore, simultaneously optimizing multiple responses is of priority concern for manufacturers hoping to gain a competitive advantage. Design of experiments (DOE) is extensively adopted in industry for determining an optimal parameter-setting or enhancing product quality. However, DOE can on...

2007
A. Azadeh Z. S. Faiz

Due to various seasonal and monthly changes in electricity consumption, it is difficult to model it with conventional methods. This paper illustrates an Artificial Neural Network (ANN) approach based on supervised multi layer perceptron (MLP) network for household electricity consumption forecasting. This is the first study which uses MLP for forecasting household electricity consumption. Previ...

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