Virtual Assembly A Web-Based Student Learning Tool for Thermodynamics Concepts Related to Multistaging in Compressors and Turbines

Similar documents
TA Certification Course Additional Information Sheet

Introduction to Moodle

Create Quiz Questions

Group A Lecture 1. Future suite of learning resources. How will these be created?

Enter the World of Polling, Survey &

Developing a Distance Learning Curriculum for Marine Engineering Education

Bluetooth mlearning Applications for the Classroom of the Future

Vodcasting: A case study in adaptability to meet learners needs and preferences

Automating Outcome Based Assessment

Test Administrator User Guide

Web-based Learning Systems From HTML To MOODLE A Case Study

Appendix L: Online Testing Highlights and Script

Using a PLC+Flowchart Programming to Engage STEM Interest

Applying Florida s Planning and Problem-Solving Process (Using RtI Data) in Virtual Settings

Application of Virtual Instruments (VIs) for an enhanced learning environment

Multimedia Courseware of Road Safety Education for Secondary School Students

Your School and You. Guide for Administrators

An Introduction and Overview to Google Apps in K12 Education: A Web-based Instructional Module

TIMSS ADVANCED 2015 USER GUIDE FOR THE INTERNATIONAL DATABASE. Pierre Foy

The Creation and Significance of Study Resources intheformofvideos

SCT Banner Student Fee Assessment Training Workbook October 2005 Release 7.2

SCT Banner Financial Aid Needs Analysis Training Workbook January 2005 Release 7

Tour. English Discoveries Online

Using SAM Central With iread

USER ADAPTATION IN E-LEARNING ENVIRONMENTS

Lecturing Module

Experience College- and Career-Ready Assessment User Guide

WiggleWorks Software Manual PDF0049 (PDF) Houghton Mifflin Harcourt Publishing Company

Diploma of Building and Construction (Building)

Lectora a Complete elearning Solution

Practitioner s Lexicon What is meant by key terminology.

P. Belsis, C. Sgouropoulou, K. Sfikas, G. Pantziou, C. Skourlas, J. Varnas

OVERVIEW & CLASSIFICATION OF WEB-BASED EDUCATION (SYSTEMS, TOOLS & PRACTICES)

Using Virtual Manipulatives to Support Teaching and Learning Mathematics

DESIGN, DEVELOPMENT, AND VALIDATION OF LEARNING OBJECTS

K 1 2 K 1 2. Iron Mountain Public Schools Standards (modified METS) Checklist by Grade Level Page 1 of 11

Moodle Student User Guide

TIPS PORTAL TRAINING DOCUMENTATION

Hands-On CFD Educational Interface for Engineering Courses and Laboratories

TEACHING HEAT TRANSFER AND FLUID FLOW BY MEANS OF COMPUTATIONAL FLUID DYNAMICS (CFD)

AGENDA LEARNING THEORIES LEARNING THEORIES. Advanced Learning Theories 2/22/2016

Blackboard Communication Tools

Longman English Interactive

WHY SOLVE PROBLEMS? INTERVIEWING COLLEGE FACULTY ABOUT THE LEARNING AND TEACHING OF PROBLEM SOLVING

Introduction to Modeling and Simulation. Conceptual Modeling. OSMAN BALCI Professor

COVER SHEET. This is the author version of article published as:

OFFICE OF ENROLLMENT MANAGEMENT. Annual Report

Home Access Center. Connecting Parents to Fulton County Schools

State Budget Update February 2016

INTERMEDIATE ALGEBRA PRODUCT GUIDE

On-Line Data Analytics

BLENDED LEARNING IN ACADEMIA: SUGGESTIONS FOR KEY STAKEHOLDERS. Jeff Rooks, University of West Georgia. Thomas W. Gainey, University of West Georgia

TEACHING IN THE TECH-LAB USING THE SOFTWARE FACTORY METHOD *

Continuing Education Unit Program Course Catalog

IMPROVE THE QUALITY OF WELDING

Synchronous Blended Learning Best Practices

Service and Repair Pneumatic Systems and Components for Land-based Equipment

Essentials of Rapid elearning (REL) Design

Guru: A Computer Tutor that Models Expert Human Tutors

Statewide Strategic Plan for e-learning in California s Child Welfare Training System

Using Moodle in ESOL Writing Classes

Hands-On CFD Educational Interface for. Engineering Courses and Laboratories

Test How To. Creating a New Test

A Coding System for Dynamic Topic Analysis: A Computer-Mediated Discourse Analysis Technique

Beyond the Blend: Optimizing the Use of your Learning Technologies. Bryan Chapman, Chapman Alliance

Implementing a tool to Support KAOS-Beta Process Model Using EPF

Foothill College Summer 2016

Simulation of Multi-stage Flash (MSF) Desalination Process

D Road Maps 6. A Guide to Learning System Dynamics. System Dynamics in Education Project

SECTION 12 E-Learning (CBT) Delivery Module

GUIDE TO EVALUATING DISTANCE EDUCATION AND CORRESPONDENCE EDUCATION

Software Maintenance

The Moodle and joule 2 Teacher Toolkit

Using Blackboard.com Software to Reach Beyond the Classroom: Intermediate

Montana's Distance Learning Policy for Adult Basic and Literacy Education

Spring 2012 MECH 3313 THERMO-FLUIDS LABORATORY

Skyward Gradebook Online Assignments

STUDENT MOODLE ORIENTATION

University-Based Induction in Low-Performing Schools: Outcomes for North Carolina New Teacher Support Program Participants in

Using GIFT to Support an Empirical Study on the Impact of the Self-Reference Effect on Learning

ATENEA UPC AND THE NEW "Activity Stream" or "WALL" FEATURE Jesus Alcober 1, Oriol Sánchez 2, Javier Otero 3, Ramon Martí 4

General Physics I Class Syllabus

Multidisciplinary Engineering Systems 2 nd and 3rd Year College-Wide Courses

Leveraging MOOCs to bring entrepreneurship and innovation to everyone on campus

BUILD-IT: Intuitive plant layout mediated by natural interaction

Specification of the Verity Learning Companion and Self-Assessment Tool

Virtual Labs: An investigation in to the future of the teaching labs

MyUni - Turnitin Assignments

E-Learning project in GIS education

Analysis of Enzyme Kinetic Data

2007 Advanced Advising Webinar Series. Academic and Career Advising for Sophomores

ABHINAV NATIONAL MONTHLY REFEREED JOURNAL OF RESEARCH IN COMMERCE & MANAGEMENT

IVY TECH COMMUNITY COLLEGE

Changing Majors. You can change or add majors, minors, concentration, or teaching fields from the Student Course Registration (SFAREGS) form.

Higher Education Review (Embedded Colleges) of Navitas UK Holdings Ltd. Hertfordshire International College

Renaissance Learning P.O. Box 8036 Wisconsin Rapids, WI (800)

White Paper. The Art of Learning

Ecosystem: Description of the modules:

Every curriculum policy starts from this policy and expands the detail in relation to the specific requirements of each policy s field.

CWIS 23,3. Nikolaos Avouris Human Computer Interaction Group, University of Patras, Patras, Greece

Transcription:

Virtual Assembly A Web-Based Student Learning Tool for Thermodynamics Concepts Related to Multistaging in Compressors and Turbines Sushil Chaturvedi Department of Mechanical Engineering Batten College of Engineering and Technology Old Dominion University,Norfolk, VA 23529, USA schatruv@odu.edu Tarek Abdel-Salam 1 and Omkar Kasinadhuni 2 Abstract Simulation and visualization have been used to develop virtual assembly as a student learning tool for comprehension and reinforcement of concepts in basic engineering thermodynamics course in undergraduate engineering curriculum. Using a web-based module described in this study, students are able to assemble on a computer screen a multistage compressor or turbine from a number of elemental building blocks or stages. The module is interactive and requires students to input data such as overall compressor ratio, stage efficiency, stage pressure ratio, and compressor inlet temperature and pressure. A computer program embedded in the module calculates total number of stages, and temperature and pressure at exit section of each stage. It also displays visual images of all stages to be assembled, and prompts students to use the clicking and dragging action of computer mouse to assemble elemental compressor stages into a multistage axial compressor. During the assembly process, a temperature-entropy diagram is generated, displaying thermodynamic state of air as it traverses through the compressor. These visual images allow students to explore relationships between overall compressor efficiency, stage efficiency and compressor pressure ratio. The module is assessed by comparing the performance of a control group (no exposure to module) with an experimental group (using the module) for an identical quiz administrated to both groups. Results described in the paper show improvement in the average score for the experimental group over the control group. Index Terms Multistage compressor, Simulation, Virtual assembly, Visualization. INTRODUCTION Engineering education is transforming rapidly due to paradigm changes in computer and web technologies. Students of the era predating computer and internet revolutions were educated primarily in conventional classroom setting in which professors transmitted course related knowledge and information through lecturing. This teacher-centric approach has been the preferred model for educating engineers during a major part of the 20 th century. The teacher-centric educational model, as past experience has shown, can be very effective, especially for small size classes in which instructors are able to maintain effective two-way communication with students. However, emerging societal and technological factors are changing the way engineers will be educated in the twenty-first century. For instance, in many urban institutions engineering lecture classes are becoming large enough in size to preclude effective two-way communication between teachers and students, leading to high drop-out and low retention rates in many engineering programs. Also, the student demographics in many urban institutions is undergoing transformation from mostly four-year full-time student population to a student population that has a much larger proportion of nontraditional students who pursue engineering education on a part-time basis while holding either full-time or part-time jobs. There is also a growing demand from these nontraditional students for delivery of engineering education in anytime-anywhere mode whose inherent flexibility helps them strike a balance between academic pursuits and job related responsibilities. Another interesting characteristic of current students worth noting is the fact that their learning style has also evolved due to their familiarity with computers, internet and videogames. Unlike their counterpart of a generation ago, current students learning style is 1 Tarek Abdel-Salam, East Carolina University, abdelsalamt@ecu.edu 2 Omkar Kasinadhuni,Old Dominion University

becoming more and more interactive and visual. In order to accommodate computer and internet savvy students it is imperative that computer and internet-based resources be integrated with classroom instruction to enhance and sustain students interest in learning engineering concepts, principles and various aspects of engineering skills. Factors discussed above have posed both challenges and opportunities to engineering educators who have responded by developing a variety of information technology-based educational tools such as virtual classrooms, video-streaming of courses, virtual laboratories, web-based multi-media educational resources for distance learning to mention a few [1-10]. A recent study commissioned by the National Academy of Engineers (NAE) titled The Engineer of 2020: Visions of Engineering in the New Century also recommends integration of technology-based tools in engineering curricula for enhancing student learning [11]. Technology enhanced learning tools are opening new pathways to knowledge and information. They are also slowly transforming engineering education from being teacher-centric to student-centric-a modality in which students are the focal point of learning process. Using unfettered access to web-based resources, students in general and non-traditional students in particular can also learn in anytime-anywhere mode. PROPOSED PROBLEM AND PEDAGOGY USED FOR SOLVING THE PROBLEM Proposed Problem: The present study, funded by the National Science Foundation engineering education grant, describes a webbased interactive learning environment created through application of simulation and visualization software. The main thesis of this work can be stated as follows: Since current students are more attuned to visualization due to their familiarity with computers and video gaming, they are more likely to use and benefit from web-based modules or other resources for learning provided these modules are interactive, visual and user-friendly. The web-tools once created will constitute an alternate pathway for learning, and will encourage students to explore further the subject matter presented in conventional classroom setting. In the present study a virtual assembly sequence is developed as a student learning tool for illuminating advanced and often difficult to understand concepts in undergraduate engineering thermodynamics courses. Virtual assembly is a useful methodology for assembling virtual probes and devices into a virtual experiment set-up. We have ushered this technique into the theoretical realm to help students learn concepts related to multistaging in axial compressors and turbines. We contend that student learning can be enhanced by creating visual images of complex thermodynamic devices such as multistage axial compressors and turbines, and allowing students to relate these images to thermodynamic processes on temperature-entropy diagrams. By assembling elemental units or stages for compressors and turbines on a computer screen, students are expected to achieve better understanding of overall performance of assembled (complex) devices in terms of characteristics of elemental stages that are used to build these devices. Pedagogy Used to Solve the Proposed Problem: Interactive simulation and visualization are powerful modern technology tools that can facilitate student learning in distributed virtual domain. We have used the pedagogy of Learning by Doing in Virtual Environments (LDVE) to develop web-based educational tools for enhancement of student learning. For instance, Dede [12] has used this pedagogy for distance education applications. However, in the current work, LDVE pedagogy has been used in conjunction with classroom instruction to enhance student understanding of basic concepts in the first course in engineering thermodynamics. This pedagogy (LDVE) is an extension of the pedagogy of Learning by Doing in physical domain to virtual (computer-based) domain. The LDVE pedagogy recognizes and incorporates an important tenet of engineering education that holds that students learn better by performing hands on activities which in virtual domain refer to student interactions with a web-based module via a computer keyboard or mouse. DESCRIPTION OF MODULE STRUCTURE AND ITS FEATURES A web-based module (www.mem.odu.edu/virtualassembly) has been developed and integrated into the basic engineering thermodynamics (ME311) course in mechanical engineering undergraduate curriculum. The module requires students to perform hands-on activities such as inputting of data, and assembling of elemental stages to build multistage systems etc. For example, in one case students can input data and build a multistage axial compressor. As shown in Figure1, students input overall compressor pressure ratio, stage pressure ratio (assumed same for all stages), stage compression efficiency (assumed same for all stages), compressor inlet temperature and pressure, and specific heat ratio of chosen flow medium, with air being the default medium. FIGURE 1 INTERACTIVE MENU OF THE COMPRESSOR MODULE (INPUTS AND OUTPUTS)

FIGURE 2 VIRTUAL ASSEMBLY MODULE OF A 13-STAGE AXIAL COMPRESSORS A computer program written in Flash Macromedia Flash scripting language calculates number of compressor stages, and temperature and pressure at the exit section of each stage. The module also displays visual images of each stage, and prompts students to use the clicking and dragging action of the mouse to assemble individual stages into a multistage axial compressor. As the virtual assembly process continues, a temperature-entropy diagram is created, displaying thermodynamic state of air as it passes through each stage (Figure 2). This figure also shows the virtual assembly in an intermediate state of assembly process when four out of a total of thirteen compressor stages have been assembled. After completion of the virtual assembly process, temperature and pressure values at exit sections of each stage are displayed in a tabular form. The module has the capability of assembling axial compressor with stages ranging from 2 to 13. A similar virtual assembly process can be accomplished for multistage turbines. After completion of the assembly process, students use computer generated (virtual) air temperature and pressure data to determine overall compressor and turbine efficiencies as a function of number of stages and stage efficiency. In order to develop further students understanding of relationship between overall compressor efficiency and overall compressor pressure ratio and compressor stage efficiency, a web-based project was assigned to students who used the virtual assembly module to generate virtual data for calculation of overall compressor efficiency. The web project was made part of graded activities in the course to encourage students to use the web module. Students also wrote a project report, detailing their findings concerning interrelationships between multistage compressor performance, and performance parameters characterizing building blocks of the compressor, namely the number of compressor stages. Figure 3 shows results from a typical project, showing the variation of overall compressor efficiency as a function of number stages and stage efficiency. This two part process of generation of virtual data from the module, and its use to calculate (manually) the overall performance parameters such as the compressor efficiency, is a unique feature of this module. Students are spared from performing repeat calculations for a large number of stages. These calculations are performed through the simulation program embedded in the web-based module. Using computer generated results, and relevant governing equations, students calculate manually, the final results concerning overall compressor efficiency. This twopart procedure keeps students active in their interaction with the module. It also addresses effectively a criticism often leveled against web-based modules that input and automatic

0.905 Experimental Control 0.9 0.895 100% Efficiency. 0.89 0.885 0.88 0.875 0.87 Quiz scores %. 80% 60% 40% 20% 0.865 0 5 10 15 20 Overall pressure ratio FIGURE 3 OVERALL COMPRESSOR EFFICIENCY VS. PRESSURE RATIO output features of many web-based modules often promotes passivity among students since they often remain oblivious to how the solution is obtained and what governing equations are used to solve the problem. ASSESSMENT OF THE MODULE Student learning achieved through the module has been measured by the Intact-Group Assessment method [13]. This method compares the performance of a control group and an experimental group. The control group is defined as a population of students who are taught conventionally, without being introduced to the web-based module. The experimental group includes those students who have used the web-based module to supplement learning achieved through conventional classroom teaching. Both groups were administered an identical multiple choice quiz that tested them for concepts related to subject matter covered in the web-based module. The entire thermodynamics class taught during summer 2006 semester was used as the control group while the entire class taught during fall 2006 semester constituted the experimental group. Figure 4 shows the comparison of quiz results for both groups. It is noted that performance of experimental group as measured by average score is the quiz represents about 14 percent improvement over the control group average quiz score. This improvement in quiz score, though modest, does point to usefulness and effectiveness of the web based module as a student learning tool. More assessments and detailed statistical analysis are planned as future activities for the module. CONCLUSIONS The authors have developed and implemented a web based module for their undergraduate thermodynamics course. This multimedia module uses simulation and visualization to 0% FIGURE 4 COMPARISON OF QUIZ RESULTS FOR BOTH GROUPS generate a virtual assembly sequence to enhance student learning of thermodynamics concepts related to multistaging in axial compressors and turbines. The module has been used in the supplementation mode allowing students to augment their learning over and above the level obtained through conventional classroom setting. Assessment of the module was done by comparing performance of a control group (no exposure to module) and an experimental group that used the web based module. Based on comparison of average score in an identical quiz given to both groups, one can conclude that experimental group on the average performed better than the control group. This study demonstrates that the virtual assembly methodology has significant potential as a student learning enhancement tool. More student assessments and statistical analysis of collected data are planned in future to establish the virtual assembly technique on a firmer footing. ACKNOWLEDGMENT This work has been supported by a grant from the Engineering Education Division of national Science Foundation (NSF-0530365) REFERENCES [1] Whittington, C. D., and Schacter, N., Building and Testing a Virtual University, Computers in Education, Vol. 30, Nos.1,2, 1998, pp. 41-47. [2] Williamson, C., Bernhard, J. T., and Chamberliin, K., Perspective on an Internet-based Synchronous Distance Learning Experience, Journal of Engineering Education, Vol. 89, No. 1, 2000, pp. 53-61. [3] Rojas, E. M., Use of Web-Based Tools to Enhance Collaborative Learning, Journal of Engineering Education, Vol. 91, No. 1, 2002, pp. 89-95. [4] Bourne, J. R., et al., A Model for On-Line Learning Networks in Engineering Education, Journal of Engineering Education, Vol. 85, No. 3, 1996, pp. 256-260. [5] Latchman, H. A., and Latchman, S. M., Bringing the Classrooms top Students Everywhere, Journal of Engineering Education, Vol. 89, No. 4, 2001, pp. 429-433. [6] Wallace, D. R., and Mutooni, P., A Comparative Evaluation of World Wide Web-Based and Classroom Teaching, Journal of Engineering Education, Vol. 86, No. 3 1997, pp. 211-219.

[7] Bjorklund, S. A., and Colebeck, C. L., The View from the Top: Leaders Perspective on a Decade of Change in Engineering Education, Journal of Engineering Education, Vol. 90, No. 1, 2001, pp 13-19. [8] Hodge, H., Hinton, H. S., and Lightner, m., Virtual Circuit laboratory, Journal of Engineering Education, Vol. 91,No.4, 2002, pp. 507-511. [9] Chaturvedi, S.K, Bawab, S., Akan, H., and Abdel-Salam, T., Development of a Methodology to Visualize and conduct a Physical Experiment as a Web-based Virtual Experiment, Proceedings of the Fourth IASTED International Conference on We- Based Education, Grindelwald, Switzerland, February 2005. [10] Pennfield, Jr. P., and Larson, R. C., Education Via Advanced Technology, IEEE Transactions on Education, Vol. 39, No. 3, august 1996, pp. 436-443. [11] National Academy of Engineers, The Engineer of 2020: Visions of Engineering in the New Century, 2005. [12] Dede, C., The Evolution of Distance Education: Emerging Technologies and Distributed Learning, The American Journal of Distance Education, Vol. 10, No. 2, 1996. [13] Tuckman, B. W., Conducting Educational Research, Harcourt Brace Jovanovich Publishers, Orlando, Florida, 1988.