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Existing analytical techniques are further limited as noise and heterogeneity in several thermal parameters are difficult to incorporate.
These input parameters are difficult to determine experimentally, and their choice may be controversial.
All of these parameters are difficult to measure, and they vary over time.
However, the optimal processing parameters are difficult to find because defects are easy to generate for ceramic parts.
The patterns depend on the specific choice of parameters (Table 1) and since the parameters are difficult to determine accurately in experiments we wondered how sensitive our results would be to variations in parameter values.
A number of mathematical models of automotive engine processes are available for this purpose but critical model parameters are difficult to obtain and generalize.
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Validating TCMS items with COP parameters was difficult.
Choosing suitable values for these parameters is difficult.
Consequently, the identification of the latter parameters is difficult on the basis of recorded process data.
However, conducting a quantitative study on many physical parameters is difficult when cutting speed is high.
Because in vitro evaluation of these biomechanical parameters is difficult we used finite element (FE) models to overcome this.
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