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Implementation of design of experiments and statistical techniques in analyzing the erosion behaviour of composites was discussed.
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The ease of implementation of design, formulation of parameters and encouraging test results indicate potential for real-life application.
Although it is acknowledged that the assessment of ease of implementation of designs is inherently subjective, the criteria on which this judgment has been made are described and reflect the practicalities of design implementation.
CONCLUSIONS: Approximately 9 person-months of effort (centered on a software development hackathon) resulted in the design and implementation of proof-of-concept software for 4 core phylotastic components, 3 controllers, and 3 end-user demonstration tools.
K.H.R. Was overall responsible for the implementation and design of the of the experiments, assisted with sample collection and statistical analysis and was responsible for the final preparation and drafting of the manuscript for submission.
Both the assessment of guideline implementation and the design of programs for improving implementation require a specific methodology.
The most important component of the implementation is the design of the data structures, which affect the efficiency of the parallelization and overall implementation.
The implementation of a Design of Experiments – Response Surface Methodology approach allowed to identify the importance of each variable, as well as their interactions, in both the reactivity (solid yield) and energy densification (increase in higher heating value).
Finally, a particular implementation of that design is described in light of its applicability to other implementations and environments.
The verification and implementation of our design and the effectiveness of the metrics is mentioned in the future works.
An assessment of ease of implementation of each design paper was made.
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