There are several ways to measure fluid flow can be generally divided into three groups: analyzed, volumetric and the mass. In this project, the design and construction of a mass flow meter using the Coriolis acceleration is analyzed. In this design, measurement of the mass of the fluid is done without the involvement of other physical properties by an appropriate theory and design. So this flow meter is able to measure the mass flow with less error than other flow meters. Also one can measure the various fluids flow rates by using various valves. It will be cost affordable. The springs are used on sensor to change the measuring range can be changed. Using a spring with larger k, the measuring range increases.

In this project, two bumpers have been designed: one layer and multilayer. To analyze these two bumpers, two types of vehicle collision are modeled and analyzed by Ansys workbench 16.0. In these analyses, deformation of two bumpers is evaluated. At the end to reduce acceleration of the vehicle occupants and reduce losses from traffic accidents, selected bumper has been determined.

Thermal imaging systems which are also called thermography are passive systems working in mid-infrared region (infrared mediation) and high electromagnetic spectrum. These systems are used for imaging applications using objects radiation. All objects radiate electromagnetic waves which cover a continuous spectrum and its peak wavelength and emission power depends on objects temperature and according to Planck's law, each object with a temperature higher than absolute zero (273 Centigrade degrees) radiates energy. As far as infrared cameras have many applications in industrial (production line control, trouble-shooting), scientific-medical (scanners, cancer diagnosis), fire’s safety (recognition the leakage of combustible material, rescuing) police (chaos control, bomb deactivation) military (watching, photography, camera, Pio-radars) fields, their importance in the human life is significant and in this study, military images taken with infrared cameras are processed with an algorithm, including: 1.image refreshment, 2. Changing color images to black and white,3. Threshold specification, 4.Noise deletion, 5.Image filtering, 6. And finally, edge deletion and combining final image with taken image. Videos are tracking with an algorithm, including: 1. Video refreshment, 2. Making a system for object’s geometrical translation, 3. Making a system for object’s frame conformation to specify a region having the best function in a video form, 4. Making an object system to show the main and fix videos, 5. Initial numbering of some variables in the processing circle, 6. Using objects for video input stabilization. In fact, captured images with infrared cameras are helpful for better recognition of people and equipment in UVA’s and military aircrafts.