نتایج جستجو برای: linear process simulation
تعداد نتایج: 2174385 فیلتر نتایج به سال:
چکیده ندارد.
injection molding is the most widely used process for producing plastic parts.in this process, an important issue is to predict and optimize the warpage before manufacturing. in this paper, a simulation with moldflow software is proposed to optimize the injection molding process. the optimization process aims at minimizing the warpage of the critical injection molding part in which process para...
In this study, the effect of toolchr('39')s advance velocity on the mechanical behavior of the Al-7075 alloy during friction stir welding was simulated. In this simulation, the Lagrangian method with rigid-Visco-plastic material was used. The results of the process temperature obtained by the simulation method were verified by the experimental welding test. Using the characteristic stress, stra...
nowadays in trade and economic issues, prediction is proposed as the most important branch of science. existence of effective variables, caused various sectors of the economic and business executives to prefer having mechanisms which can be used in their decisions. in recent years, several advances have led to various challenges in the science of forecasting. economical managers in various fi...
This paper studies the performance of neural networks estimated with Bayesian regularization to model and forecast time series where the data generating process is in fact linear. A simulation experiment is carried out to compare the forecasts made by linear autoregressive models and neural networks.
Chemical reactors are the most influential and therefore important units that a chemical engineer will encounter. To ensure the successful operation of a Continuous Stirred Tank Reactor (CSTR) it is necessary to understand their dynamic characteristics. A good understanding will ultimately enable effective control systems design. The aim of this paper is to introduce some basic concepts of chem...
چکیده ندارد.
In this paper, we propose a new ridge-type estimator called the new mixed ridge estimator (NMRE) by unifying the sample and prior information in linear measurement error model with additional stochastic linear restrictions. The new estimator is a generalization of the mixed estimator (ME) and ridge estimator (RE). The performances of this new estimator and mixed ridge estimator (MRE) against th...
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