Sentence examples for model for residual from inspiring English sources

A predictive model for residual stresses induced in a laser hardened workpiece of AISI 4140 steel with no melting has been developed and experimentally verified.

A stochastic model for residual strength is developed and time-dependent methods are employed to quantify the probability of failure so that the time for the pipeline to be failed and hence requiring repairs can be determined.

Although based on a common framework, the fundamental difference between the two algorithms is that one uses a global model for residual generation, fault isolation, and fault identification; whereas the other uses a set of minimal submodels computed using Possible Conflicts.

First, we propose a probabilistic model for residual stresses and then we show how the basic statistical information on the residual stress distribution can be included into the evaluation of the residual stress intensity factor Kr(a) and then into the crack growth equations as well as in the life-time assessment.

A proportional model for residual variability was used.

Hence, the impact of using a different constitutive model for residual stress could be significant.

However, these developed models for residual stress prediction are operational complexity, time-consuming and low prediction efficiency.

In addition, traditional models for residual biomass prediction were developed from dendrometric parameters (tree height, crown diameter, and diameter at breast height).

A maximum of 6.65 g/L residual biomass and 6.75 g/L PHB was obtained using optimized concentrations, representing 94 and 83% validity of the predicted models for residual biomass and PHB production, respectively.

Various models for residual unexplained variability (RUV) were also tested.

A proportional and combined additive and proportional models for residual variability for pharmacokinetic observations were evaluated (Equations 8 and 9).