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Since multiple process parameters (i.e., heat input of biomass gasifier, syngas specification for downstream synthesis process, gasification temperature, etc).
Multiple process parameters (e.g., reflow soldering temperature) were employed to analyze bare and soldered PCBs to verify the feasibility of the proposed method by evaluating various PCB characteristics before, during, and after reflow.
Successful application of DSA requires to control and optimize multiple process parameters related to the bulk morphology of the block copolymer, its interaction with the chemical or topographical guiding pattern, and the kinetics of structure formation.
It is shown that process disturbances significantly decrease the design space and that only simultaneous and specific changes in multiple process parameters (i.e. critical process parameters (CPP) lead to batch failure.
The multiple process parameters such as pH, hydraulic retention time (HRT), concentration of marine waste extract (MWE), total organic carbon (TOC) and sulfate were optimized together using Taguchi design.
Although bioconversion of lignocellulose by microbial or yeast fermentation have been reported, efficient and economical lignocellulosic fermentation process is still a challenge due to multiple process parameters involved for bioprocess design, optimization and scale-up.
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The RVLP approach proposed in this article, for the first time to attempt QbD for protein A, presents a practical option to evaluate multiple process parameter effects on virus removal.
Various amine solvent blends are employed within an integrated framework that supports optimal design while also considering process performance under multiple variations in process parameters and disturbances.
Multiple regression models correlating the process parameters with the responses have been developed.
The confirmation experiment verifies the proposed grey-based Taguchi method has the ability to find out the optimal process parameters with multiple quality characteristics.
Grey-Taguchi method is combining the orthogonal array (OA) design of experiments (DOE) with grey-relational analysis (GRA), which enables the determination of the optimal combination of flank milling parameters for multiple process responses.
More suggestions(15)
multiple process variables
many process parameters
several process parameters
multiple process steps
multiple process delays
multiple process partitions
multiple process outputs
multiple process errors
multiple process corners
multiple process units
multiple process responses
multiple geologic parameters
multiple process cycles
multiple blood parameters
multiple process features
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