Khosro Ashrafi - Associate Professor, Graduate Faculty of Environment, University of Tehran, Iran
Majid Shafie-Pour-Motlagh - Assistant Professor, Graduate Faculty of Environment, University of Tehran, Iran
Farshid Imani - MS. of civil - environmental engineering in Graduate Faculty of Environment, University of Tehran, Iran

In this study, intelligent software was proposed to perform selection and design of air pollution control devices as well as pre-treatment ones. These control devices were selected among 4 groups of devices including electrostatic precipitators, bag filters, venturi scrubbers and cyclones. Regarding pre-treatment devices, the process was carried out among either cyclones or gravity settling chambers. For both air pollution control and pre-treatment devices, the process was accomplished after determining input parameters such as removal efficiency, diameter, their weight percentage and type of particle matters, pressure drop, and economic value of collected particulate matters. The most important advantage of the software developed in this study compared with others is its accurate and comprehensive design process. In addition, unlike the other software, the proposed software is capable of designing multiple devices. Finally, the developed software in this study precise design process reduces designing time and minimizes the possibility of common errors occurring in design process.

Air pollution, Particle matter, Industrial emission, Air pollution control device, intelligent software