Engine performance characteristics and evaluation of variation in the length of intake plenum

In the engine with multipoint fuel injection system using electronically controlled fuel injectors has an intake manifold in which only the air flows and, the fuel is injected into the intake valve. Since the intake manifolds transport mainly air, the supercharging effects of the variable length intake plenum will be different from carbureted engine. Engine tests have been carried out with the aim of constituting a base study to design a new variable length intake manifold plenum. The objective in this research is to study the engine performance characteristics and to evaluate the effects of the variation in the length of intake plenum. The engine test bed used for experimental work consists of a control panel, a hydraulic dynamometer and measurement instruments to measure the parameters of engine performance characteristics. The control panel is being used to perform administrative and management operating system. Besides that, the hydraulic dynamometer was used to measure the power of an engine by using a cell filled with liquid to increase its load. Thus, measurement instrument is provided in this test to measure the as brake torque, brake power, thermal efficiency and specific fuel consumption. The results showed that the variation in the plenum length causes an improvement on the engine performance characteristics especially on the fuel consumption at high load and low engine speeds which are put forward the system using for urban roads. From this experiment, it will show the behavior of engine performance

Self-Evaluation Applied Mathematics 2003-2008 University of Twente

This report contains the self-study for the research assessment of the Department of Applied Mathematics (AM) of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente (UT). The report provides the information for the Research Assessment Committee for Applied Mathematics, dealing with mathematical sciences at the three universities of technology in the Netherlands. It describes the state of affairs pertaining to the period 1 January 2003 to 31 December 2008

Collaborative research: ITR: global multi-scale kinetic simulations of the earth's magnetosphere using parallel discrete event simulation

Issued as final reportNational Science Foundation (U.S.

A Project-based Learning Approach in Teaching Simulation to Undergraduate and Graduate Students

In this study, application of experiential learning into graduate and undergraduate curricula of a industrial system simulation course is presented. Simulation has been among the courses against which students feel uncomfortable or frightened due to heavy software use, prerequisite of probability, and statistics knowledge, and its application requirements. To minimize this fear and improve student’s understanding about the subject matters and have them develop ample skills to build complex models, a project-based learning approach is proposed and used in undergraduate and graduate teaching settings. To achieve the project-based learning goals, a 15-week curriculum is designed to have a balanced lecture and lab sessions, which are specifically designed to address the needs of the term project as the semester continues. In the term project, groups of 2-3 students were asked to form a group, where each group was expected to work on a real system to 1) understand, conceptualize, and model the existing system as a mental, then software-model; 2) validate the existing system model statistically; 3) identify areas for improvement (in addition to the ones given by the supervisor); 4) complete the project with testing out system improvement scenarios and conducting cost/benefit analysis. The effectiveness of project-based learning is surveyed and studied based on the course learning outcomes. The results indicated that the proposed project-based learning approach was found to be effective in students’ learning experience and critically supportive on reaching the learning outcomes, and it was found that students’ learning and skills of simulation modeling and application are improved regardless of their grade

Constructive Alignment in Simulation Education

Recent and ongoing developments are significantly augmenting both the demand for and the expectations of university simulation education. These developments include increased use of simulation in industry, increased variety of economic segments in which simulation is used, broader variation in demographics of simulation students, and higher expectations of both those students and their eventual employers. To meet the challenges these developments impose, it is vital that simulation educators aggressively and innovatively improve the teaching of simulation. To this end, we explore the application of constructive alignment concepts in simulation education, and compare and contrast its application in the context of two university course offerings. These concepts suggest continuation of some practices and revision of others relative to the learning objectives, learning activities, and assessment tasks in these and other simulation courses

The Thayer Method: Student Active Learning with Positive Results

Graduation from West Point requires successful completion of four courses in the mathematical sciences. These core mathematics courses include topics in discrete dynamical systems, differential and integral calculus (single variable and multivariable), differential equations, linear algebra, probability, and statistics. The instructional system employed throughout the core is the Thayer Method, named for Colonel Sylvanus Thayer, the Father of the Military Academy. In the Thayer Method, traces of cooperative education and discovery learning are evident. It is quintessential active learning. The West Point catalyst is the fundamental principle that cadets are responsible for their own education

Simulating the Flow of Students Through Cal Poly\u27s Undergraduate Industrial Engineering Program for Policy Analysis

The purpose of this project is to analyze the flow of Industrial Engineering students at California Polytechnic University San Luis Obispo in order to measure various graduation metrics by use of a simulation. Currently, graduation rates are relatively low in comparison with the rest of the state of California and future growth and decreased budgets may threaten graduation rates for incoming students. This simulation will identify bottleneck classes [those that hold up students from graduating] and provide a basis for a sensitivity analysis in which different scenarios are constructed to determine their effects on graduation metrics. The simulation will offer a Microsoft Excel Spreadsheet as an input in which any user could alter class capacities and offerings so as to determine the effects of these decisions. This tool provides a valuable resource for the Department Chair of the Industrial and Manufacturing Department at California Polytechnic University San Luis Obispo because it provides a high-level view of the impact of important decisions for the department. The project concludes with a sensitivity analysis of eight different cases that are analyzed to provide insight into whether or not certain decisions should be made about the curriculum. Of the many conclusions determined from the sensitivity analysis, it is noted that the department can sustain a 10% increase in enrollment of new students, but not a 20% increase in enrollment, while maintaining current graduation rates. Furthermore, the elimination of pass and fail rates from the system does not provide a significant effect on graduation rates and it is recommended that they stay in place. Additionally, it is noted that a reduction in capacity of 10% across all classes is very harmful to students while the adjustment of classes based on effective capacities [the percentage of Industrial Engineering students enrolled multiplied by class capacity] is highly beneficial. It is the hope that this simulation tool can be used by the department in making decisions similar to this in the future

Using Discrete Event Simulation to Examine Marine Training at the Marine Corps Communication-Electronics School

Proceedings of the 2007 Winter Simulation Conference S. G. Henderson, B. Biller, M.-H. Hsieh, J. Shortle, J. D. Tew, and R. R. Barton, eds.This paper presents a discrete-event simulation model used to explore various possibilities for improving the training continuum at the Marine Corps Communication- Electronics School. The goal of the analysis is to reduce the average waiting time experienced by Marines as they wait for their formal training to commence. Results show that the implementation of even the least beneficial of these improvements yields a 37 percent reduction in waiting time. The best single change yields an 82 percent reduction. This translates into a 30 day reduction in average waiting time per Marine. If all improvements were implemented, a reduction of 88 percent could be achieved, bringing the average waiting time per Marine down to less than 5 days

Increasing Accuracy of Simulation Modeling via a Dynamic Modeling Approach

Simulating processes is a valuable tool which provides in-depth knowledge about overall performance of a system and caters valuable insight on improving processes. Current simulation models are developed and run based on the existing business and operations conditions at the time during which the simulation model is developed. Therefore a simulation run over one year will be based on operational and business conditions defined at the beginning of the run. The results of the simulation therefore are unrealistic, as the actual process will be going through dynamic changes during that given year. In essence the simulation model does not have the intelligence to modify itself based on the events occurring within the model. The paper presents a dynamic simulation modeling methodology which will reduce the variation between the simulation model results and actual system performance. The methodology will be based on developing a list of critical events in the simulation model that requires a decision. An expert system is created that allows a decision to be made for the critical event and then changes the simulation parameters. A dynamic simulation model is presented that updates itself based on the dynamics of the actual system to reflect correctly the impact of organization restructuring to overall organizational performance