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The optimal experiment design methodology was used for modelling and optimizing the yields of amino acids and saccharides: xylose and glucose.
This study describes a methodology for designing, modelling and optimizing an iron fitted with an ultrasonic exciter in an attempt to minimize limescale accumulation.
The differences between modelling and optimizing the actuators using linear and non-linear finite element analyses are discussed in detail.
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The methodologies are exemplary demonstrated by modeling and optimizing a typical tunnel lining structure, which contains many repetitive elements.
Recently, response surface methodology (RSM) has been accepted for modeling and optimizing of input intractable variables to achieve maximum yield product as output for productive process [21].
This paper aims at reviewing technologies and procedures for modeling and optimizing the second aforementioned phase: the synthesis reactor.
The proposed FSFDEA algorithm is capable of modeling and optimizing small-sized SRFLP's in stochastic, uncertain, and non-linear environments.
In addition, a response surface methodology (RS M based on central composite design (CCD) was used for modeling and optimizing this process.
In this article, modeling and optimizing of factors affecting erosion corrosion wear of aluminum alloy A6063 reinforced with (Al2O3/TiC) particles have been determined by experimental design method.
An effective procedure of response surface methodology (RSM) has been proposed for modeling and optimizing the thermal performance characteristics of PPF heat sink with the design constrains.
Response surface methodology has been successful for modeling and optimizing the additives such as Bi2O3 and TiO2 of ZnO-based low voltage varistor to achieve maximized non-linearity properties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com