Excel as Tool for Modeling , Dynamic Simulation and Visualization ofMechanical Motion
One of the most important tasks in teaching of mechanics is to use a suitable method for developing of theoreticallyacquired knowledge. Drawing on her own experience, the author has found that the best method to be used is the system approach.System approach is closely connected to the modeling,computer simulation and dynamic visualization. Theory of the systems, modeling and computer simulation are disciplines with its own theory and research methodology. Modeling and computer simulation (M&S) can be understand as one of the most important method in teaching of mathematics and simultaneously can be use as suitable method for practical developing of theoretically acquired knowledge. Case study, described in the paper, presentspossibility of dynamic visualization of mechanical motion – trajectory of ballistic shot. The solution is demonstrated in MS Excel worksheet and chart. Key-Words:Animation, computer simulation, mathematical modeling, system approach, visualization.
Multimedia support of parametric modeling
Programs for technical modeling are used in almost every field or industry. We see them in technical industries as well as in our everyday life and even in areas where we would never expect to see them. It generally replaces the creativity and imagination of the designer, and in many cases it helps determine collision situations and points during the creation of new products. Multimedia has a significant on the effectiveness of teaching these software applications in the engineering study.
Fully Integrated Bidirectional CMOS-MEMS Flow Sensor With Low Power Pulse Operation
Leveraging More-than-Moore technology, we demonstrate an integrated CMOS MEMS flow sensor via a very compact system on chip (SoC) that can sense the bidirectional N2 gas flow. Our SoC features a very low-noise instrumentation amplifier that is implemented on a CMOS wafer and serves as a readout integrated circuit for a thermoresistive micro-calorimetric flow sensor which is fabricated on a MEMS wafer. A compact heterogeneous integration is achieved by combining the two wafers via the proprietary InvenSense AlN process. The measured sensitivity of our CMOS MEMS flow sensor is 98 mV/sccm which is three times better than the state-of-the-art counterpart. The flow range measured by our SoC is from −26 to 26 m/s (from −50 to 50 sccm). Moreover, the pulsed heater operation makes this proposed SoC flow sensor a very low power (<9 mW) and, thus, a promising candidate for the Internet-of-Things applications in smart home/green buildings.