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One of the main purposes for an accurate strength prediction is to get a reliable design tool of a given structure.
Firstly, to develop an approach that enables one detecting regions of sculptured surface those are not accessible for a cutting tool of a given design (i.e. regions, which cutter cannot reach without being obstructed by another portion of the part).
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Once tools are available based on the same model, they can be compared to determine adherence to the model, performance against a benchmark dataset as well as time and space efficiency; all of these facilitate selection of the 'best' tool for a given analytical task.
Various factors that would affect the tool behavior are identified and their effects are analyzed to optimally design a reconfigurable mold tool for a given set of process conditions.
However, the relative responses of changes in metal status in the presence of such in vitro additives and in native biological specimens with both types of probes will set a baseline for any potential background signal and help elucidate the appropriateness of a chemical tool for a given biological situation.
Once qualified by FDA, these measures could, over time, become 'gold standard' assessment tools for a given concept of interest and context of use.
The main subject of the discussion was how to use statistical tools for a given set of research data.
The characterisation identifies the achievable set of kinematics for a tool path of a given shape without the need for physical machining and a knowledge of the motion control algorithms.
Samvedi et al. (2012) integrated fuzzy AHP and grey relational analysis (GRA) approaches for selection of a machine tool from a given set of candidate alternatives.
A separate volume removing analysis of the tool wear suggests that the dwelling time of a tool at a given position can be determined for a given wear depth and wear rate.
In the near future, we will study the actual value of this tool within a given OSH knowledge infrastructure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com