Paper ID #25367Implementing a Full-state Feedback Laboratory Exercise in an IntroductoryUndergraduate Control Systems Engineering CourseLt. Col. James E. Bluman, U.S. Military Academy Lieutenant Colonel James Bluman is currently an Assistant Professor in the Department of Civil and Mechanical Engineering at the U.S. Military Academy at West Point. He has served the United States Army for the last 19 years as an officer and Army Aviator. He is a graduate of West Point (B.S. in Mechanical Engineering), Penn State (M.S. in Aerospace Engineering), and the Univ. of Alabama in Huntsville (Ph.D. in Mechanical Engineering). His
Paper ID #25255Board 100: Enhancement of a Thermo-Fluid Laboratory Course: Focus onTechnical WritingDr. Kamau Wright, University of Hartford Kamau Wright is an assistant professor of mechanical engineering at the University of Hartford. He spe- cializes in thermo-fluids and plasma engineering. His technical research interests include applications of high voltage plasma discharges to liquids and wastewaters; plasma decomposition of carbon dioxide; foul- ing prevention and mitigation for heat exchangers; oxidation of organic matter in water; and inactivation of bacteria using high voltage plasmas.Dr. Paul E Slaboch
Integrated Class-Lab Approach to a Mechanics of Materials CourseIntroductionA Mechanics of Materials course offers rich opportunities for new theoretical understandings,development of laboratory skills, and small design projects. The three-year old Campbell Schoolof Engineering is promoting a class-lab approach in most of its courses. A traditional four creditlaboratory course might meet for three hours per week of lecture/recitation in a large section and2-3 hours per week of lab in smaller sections. In contrast, the class-lab meets for the sameamount of time but does not distinguish between lab and lecture time. In our case, we meet insections of 24 students in a room with six four-person tables surrounded by laboratory
Undergraduates to Engage in Cross-Disciplinary ResearchIntroductionActive participation in undergraduate research has been shown to play a valuable role inenhancing the educational experience of undergraduate science and engineering majors. Inaddition to providing training in laboratory techniques, undergraduate research can facilitatedevelopment of higher thinking skills, expose students to the excitement of scientific discovery,immerse undergraduates in the culture of laboratory research, and contribute to preparingindividuals for careers in the professional workforce [1], [2]. The American Society forBiochemistry and Molecular Biology (ASBMB) recognizes research as an essential curricularfeature of recognized undergraduate biochemistry programs [3
Engineering at Lawrence Technological University. His research interests include mechatronics, dynamic systems, and control with applications to piezoelectric actuators, hysteresis, and perception. He serves as the faculty advisor for the LTU Baja SAE team. c American Society for Engineering Education, 2019 From Industry to the Classroom: A Low-Cost Hardware-In-Loop Simulator for Classic Controls ExperimentsAbstractControl system design and validation can be a frustrating experience for many students. Thesestudents benefit from the inclusion of a laboratory component that provides a hands-onexperience to complement lecture. However, physical space and funding for educational labs arealways
distanceor online education, there are many challenges to overcome in that space. In Mechanical Engineering, manytraditional courses depend on hands-on laboratories in addition to the face-to-face classes. Some researcherswere able to offer the laboratories as online for appropriate subjects such as control (Duan et al. 2005)however, this might be more challenging in other topics within mechanical engineering. Use of experientiallearning, i.e., projects designed with often low-cost kits for physical activity is also found to be beneficialin an online Mechanics course (Dittenber & Ironside 2017).A major challenge in determining the online course quality is student’s engagement and motivationcompared to the face-to-face courses. Online courses
mechanical-nuclear design department of Ebasco Services, Inc., a major engineering firm in NYC, and taught and received tenure at both the U.S. Merchant Marine Academy and Hofstra University. While at Hofstra, he worked as a research engineer at the U.S. Army Armament Research, Development, and Engineering Center (ARDEC) Automation and Robotics Laboratory. He received the 1987 ASEE New Engineering Educator Excellence Award, a national honor. In 1989, he joined the faculty at Rensselaer Polytechnic Institute (RPI). At RPI, he further developed his leadership and administrative skills as Direc- tor of Core Engineering, the first two years of the School of Engineering, and as Chair of the Engineering Science
-basedlearning is a dynamic method to inspire students to obtain a deeper understanding of the subjects, applyand integrate knowledge they are studying. Normally a project is a complex task that involves designthinking, decision making, problem solving, etc. [2]. The benefits of project-based learning includeimproved student participation in the learning, strengthened communication skills, promotion of criticaland proactive thinking [3]. Literature shows that real world problem will improve student’s understandingof the materials learned in classroom [1]. Laboratory work motivates students to learn actively, thus it hasbeen widely applied to many engineering subjects [4~9].Mechanical Vibration Course has been offered starting Spring 2014 for senior BSME
for Excellence in Undergraduate Teaching, the College of Engineering Teaching Excellence Award, and the MechSE Five-Year Effective Teaching Award.Dr. Blake Everett Johnson, University of Illinois at Urbana-Champaign Dr. Blake Everett Johnson is a lecturer and instructional laboratory manager in the Department of Mechan- ical Science and Engineering at the University of Illinois at Urbana-Champaign. His research interests include experimental fluid mechanics, measurement science, and engineering education. He oversees un- dergraduate laboratories in fluid mechanics, fluid dynamics, and heat transfer. Pedagogically, Dr. Johnson employs active learning, inquiry-based laboratory instruction, and any initiative that
was originally designed to have 9-10 predetermined labs.The laboratory experiments cover a wide set of topics including fluid properties, piston speedanalysis, to motor and pump performance analysis. However, students follow predeterminedprocedures and, thus, they lack critical thinking, real and complex problem solving as they areguided through the steps of the experiment and through its analysis by the guided questions. To help improve the students’ experiences and knowledge, two hands-on exercises were designedand added to the course content. The objectives of each exercise were designed to meet theCLOs of the course. Students would have to design, conduct tests and submit a report with alimited duration of time in and out of class.The
and explanation of multi-scale material behavior can broaden students’ understanding of materials and mechanics, and assistthem to link mechanics concepts to materials behavior they observe in laboratory testing.Assessment of education outcomes of M3E moduleTraditional assessment based on student performance by solving given problems does not provideenough information about how students internalize and organize the knowledge presented to them.In particular, it is difficult to design a set of testing problems that can efficiently evaluate studentunderstanding of broad solid mechanics concepts and their relationship with manufacturing anddesign knowledge. However, such insight is necessary for educators to help students achievedeeper learning
engineering at Tuskegee University, AL, USA. He is currently working as an assistant professor at the Department of Intelligent Systems and Robotics, Hal Marcus College of Science and Engineering, University of West Florida (UWF), Pensacola, FL, USA. At UWF, Dr. Rahman contributes to the Ph.D. program in Intelligent Systems and Robotics, and directs the Human-friendly and Interactive Robotics Laboratory (HIR Lab). His research and teaching interests include robotics, mechatronics, control systems, electro-mechanical design, human factors/ergonomics, engineering psychology, virtual reality, artificial intelligence, machine learning, CPS, IoT, computer vision, biomimetics and biomechanics with applications to industrial
” [8], as well as for “examining logic and argument cautiously and critically”. Byconducting the project in phases throughout the semester, it applies the “guidance, practice, andfeedback” [4] requirement for effective learning experiences.While searching the literature, the author could not find a similar scheme that focused itsapproach on achieving sizing expertise by “conditionalizing” the learning experience with anexisting machine. However, there were other noteworthy approaches which are summarizedbelow.Pierce, et al. [9] presented a comprehensive design experience that consisted of designing severalcomponents of a ski lift system. The machine design course included a laboratory, which is nottypical in mechanical engineering curricula
in a laboratory-based Aerospace Engineering Failurecourse, using a concept inventory exam. Evans et. al. [5] described progress on development ofConcept Inventory assessment instruments, which could be used by instructors to judge theadequacy of their instruction, and upon inclusion of data segregated by how content wasmanaged and delivered, to identify effective practices, and relate specific teaching techniques tostudent learning across multiple subjects. These subjects included thermodynamics; solidmechanics; signals and processing; electromagnetics; fluid mechanics; heat transfer, and more[5]. In discussing development of Concept Inventory assessment instruments related to thesubject thermal and transport phenomena (e.g. thermodynamics
positive.Reference1. Clark, W. and DiBiasio, D. (2007). Computer simulation of laboratory experiments for enhanced learning. ASEE Annual Conference and Exposition. Honolulu, Hawaii, June 24-27.2. Chapra, S. and Canale, R., 2014, Numerical methods for engineers, 6th edition, McGraw-Hill Higher Education.3. Richard G Budynas and J Keith Nisbett, 2015, Shigley's Mechanical Engineering Design, 10th edition, McGraw-Hill Higher Education.4. Moazed, A.R., Roberts, R., Le, X. and Duva A., 2010, Teaching finite element analysis in undergraduate technology curriculum. ASEE Northeast Section Conference, Wentworth Institute of Technology, Boston, MA, May 7-85. Brown, A., Rencis, J.J., Jensen, D., et al, (2008). Finite element learning modules for
drawings)prior to formal instruction within the lab period. In addition, their individual bilge pump hasbeen partially fabricated, so they have been exposed to concepts such as tolerance, readingdrawings, the selection of the appropriate drill size to properly tap a hole, and the basic use of amill, lathe and drill press for fabrication of aluminum components. They practice removingmaterial on the lathe at 1 mil, 2 mil, and up to 5 mil at a time to visually experience what thatlooks like. They keep notes on the provided bilge pump drawings as to changes that they wouldmake to improve the drawings.The students then take a break from machining during the laboratory period, as outlined in Table1, and learn to create their bilge pump in SolidWorks
variations of this experiment which can be used as a laboratory or as ademonstration. More combinations of straight hole sizes and counter-bored holes could be used.If more time is available, each group could test multiple tube lengths and conduct more repeatruns. Other fluids could be used as well.There are a few parameters where there is a significant potential for error. Only twomeasurements are made during the experiment: the drainage time and the amount of watercollected. In both cases, the larger these values the lower the relative error. For example, if thedrainage time is 30 s with a 1 s uncertainty, this equates to an uncertainty of 3.3%. However, ifthe drainage time is 5 min with an uncertainty of 1 s, that would only be an uncertainty of
Paper ID #24851Efficacy of Social Media Communications for Enhancing Student SuccessDr. Louis J. Everett, University of Texas, El Paso Dr. Everett is the MacGuire Distinguished Professor of Mechanical Engineering at the University of Texas El Paso. Dr. Everett’s current research is in the areas of Mechatronics, Freshman Programs and Student Engagement. Having multiple years of experience in several National Laboratories and Industries large and small, his teaching brings real world experiences to students. As a former NSF Program Director he works regularly helping faculty develop strong education proposals.Dr. Norman
the last two years, the project has been carried out asindependent undergraduate research projects for the senior students working in the authors’research laboratory. Under the detailed guidance, the undergraduate students were able toestablish a solid understanding of the 3D printing process, and effect of nanoparticles on theoverall materials’ mechanical properties. In addition, the experience in mechanical testingfollowing ASTM standards emphasized the solid mechanics knowledge the students learned intheir junir year. Three students have participated in the reported undergraduate 3D printing andmaterials testing research. Positive feedbacks were given by the students in the final classevaluation and survey.In order to benefit a broader
Paper ID #24780Implementation of Visual Supplements to Strengthen Pedagogical Practicesand Enhance the Physical Understanding of Fundamental Concepts in Engi-neering MechanicsDr. Eleazar Marquez, Rice University Eleazar Marquez is an Assistant Teaching Professor in the Department of Mechanical Engineering at Rice University.Dr. Samuel Garcia Jr., Texas State University Dr. Samuel Garc´ıa Jr. currently serves as Educator Professional Development Specialist at the Jet Propul- sion Laboratory in Pasadena, CA and is an Assistant Professor of Practice for the LBJ Institute for Edu- cation and Research at Texas State
courseproposal was submitted through UFS curricular processes and went through consultationprocedure. Finally, the course proposal was approved by UFS in April, 2018 and offered tostudents for the first time in Fall 2018.Course Objectives and DescriptionThis course reveals the techniques of making laboratory and everyday fluid flows visible for bothscientific and aesthetic purposes. In this course, students explore techniques for the visualizationof the physics of fluid flows including seeding with dyes and particles. Students will also gaintechnical expertise in a range of photographic techniques drawn from the course topics, such asphotographing atmospheric clouds. Assignments are student-driven, to individuals and mixedteams of undergrad students
. He serves as Faculty Advisor for the American Institute of Aeronautics and Astronautics Student Chapter at LTU, chair of the First Year Engineering Experience committee, chair for the LTU KEEN Course Modification Team, chair for the LTU Leadership Curriculum Committee, supervisor of the LTU Thermo-Fluids Laboratory, coordinator of the Certificate/Minor in Aeronautical Engineering, and faculty advisor of the LTU SAE Aero Design Team. Dr. Gerhart conducts workshops on active, collaborative, and problem-based learning, entrepreneurial mindset education, creative problem solving, and innovation. He is an author of a fluid mechanics textbook.Dr. Robert W. Fletcher, Lawrence Technological University Robert Fletcher
Paper ID #25926Engineering Design Applications in the Introduction to Mechanical Engineer-ing CurriculumMr. Johnathon Demetrio Garcia, New Mexico Institute of Mining and Technology Johnathon Garcia is a senior in the Mechanical Engineering Department at New Mexico Institute of Min- ing and Technology (NMT). In addition to his bachelor’s degree he is seeking graduate studies at NMT. He has conducted research under Dr. O’Malley with cooperation with Sandia National Laboratories on designing low cost, compact data acquisition systems for rockets. These systems were required to perform on a par with far more expensive, larger
, AL, USA. He is currently working as an assistant professor at the Department of Intelligent Systems and Robotics, Hal Marcus College of Science and Engineering, University of West Florida (UWF), Pensacola, FL, USA. At UWF, Dr. Rahman contributes to the Ph.D. program in Intelligent Systems and Robotics, and directs the Human-friendly and Interactive Robotics Laboratory (HIR Lab). His research and teaching interests include robotics, mechatronics, control systems, electro-mechanical design, human factors/ergonomics, engineering psychology, virtual reality, artificial intelligence, machine learning, CPS, IoT, computer vision, biomimetics and biomechanics with applications to industrial manip- ulation and
, 2012.[21] Truax, D. D. "Improving the learning process of laboratory instruction." Proceedings of the2004 American Society for Engineering Education Annual Conference & Exposition. 2004.[22] Muthén, Linda K., and Bengt O. Muthén. Mplus user's guide: Statistical analysis with latentvariables. Muthén & Muthén, 2004.[23] Streiner, David L. A guide for the statistically perplexed: Selected readings for clinicalresearchers. University of Toronto Press, 2013.[24] Netemeyer, Richard G., William O. Bearden, and Subhash Sharma. Scaling procedures:Issues and applications. Sage Publications, 2003.[25] Tabachnick, B. G. & Linda S. Fidell. Using multivariate statistics. Allyn and Bacon, 2001.[26] Revelle, W. psych: Procedures for Personality
professor of mechanical engineering at Tuskegee University, AL, USA. He is currently working as an assistant professor at the Department of Intelligent Systems and Robotics, Hal Marcus College of Science and Engineering, University of West Florida (UWF), Pensacola, FL, USA. At UWF, Dr. Rahman contributes to the Ph.D. program in Intelligent Systems and Robotics, and directs the Human-friendly and Interactive Robotics Laboratory (HIR Lab). His research and teaching interests include robotics, mechatronics, control systems, electro-mechanical design, human factors/ergonomics, engineering psychology, virtual reality, artificial intelligence, machine learning, CPS, IoT, computer vision, biomimetics and biomechanics with