An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...

In some applications of statistical process monitoring, a quality characteristic can be characterized by linear regression relationships between several response variables and one explanatory variable, which is referred to as a “multivariate simple linear profile.” It is usually assumed that the process parameters are known in Phase II. However, in most applications, this assumption is viola...

the present work reports and discusses the results of a 3d simulation of the injection molding process of a rubber compound that includes the mold flling stage and  material curing, using the computer code is developed in “udf” part of the fluent 6.3 cae software. the data obtained from a rheometer (mdr 2000) is used to characterize the rubber material in order to fnd the cure model parameters ...

present research involves the complete simulation of pultrusion manufacturing process of glass/polyester composites. for that purpose, the curing process is divided to two liquid and gel-solid phases. the physical characteristics of the resin consist of specific heat, viscosity and coefficient of heat transfer changes with variations of temperature and increasing the degree of curing process (α...

background: the purpose of this study was to investigate the application of the monte carlo technique to calculate and analysis of dosimetric parameters for electron beams used in radiotherapy. this technique is based on statistical method and has a powerful role in different radiotherapy aspects. materials and methods: the simulated medical linear accelerator was the varian clinac 2100c. the e...

In recent years, several research activities have been conducted to develop knowledge in analysis, design and optimization of compressor anti-surge control system. Since the anti-surge control testing on a full-scale compressor is limited to possible consequences of failure, and also the experimental facility can be expensive to set up control strategies and logic, design process often involves...

A mathematical model considering mass and momentum transfer was developed for simulation of ethanol dewatering via pervaporation process. The process involves removal of water from a water/ethanol liquid mixture using a dense polymeric membrane. The model domain was divided into two compartments including feed and membrane. For a description of water transport in ...