manufacturing circumstances, secondary packaged products are not quite availablefor customer whereas the primary packaged one are mostly consumed by the ultimatecustomers. Sanitized bottles filled with drinkable liquid or solutions are very good example ofone of these kinds of products.In most of the primary packaging industries, bottle washing (rinsing) machines are one of themost widely used technologies which is developed for efficient washing, sanitizing and dryingof bottles before they are ready to be filled with liquid product or solution. Currently, there aresome automatic bottle washing machines available in the packaging industries. Generally thesemachines are designed and manufactured from practical experiences of conventional machinedesigner
GraphsIntroductionIn a previous publication we presented an argument that by organizing student learning outcomesand course objectives around the principle of the operational definition of technical terms that theassessment of student learning can in some ways be simplified. By operational definition wemean that students are describing a process, or operation, to give meaning to technical terms. Forexample we can give an operational meaning to “derivative”, by describing the followingoperation: drawing tangent lines on a position versus time graph at regular intervals of time,examine the slope of each tangent line segment and ask if it is positive or negative, and large orsmall, plot the value of the slopes of the tangent lines and generate a velocity versus
Lab # Lab Title to complete Lab 1 Signal Generation and Spectrum Analysis 1 week Lab 2 Voice Data Collection 1 week Lab 3 Passive Filter Design and Analysis 1 week Lab 4 Digital Graphic Equalizer Design 1 week Lab 5 Temperature Data Collection using PSoC 5LP 1 week Lab 6 Audio Data Collection using PSoC 5LP 1 week Lab 7 Serial Communication using PSoC 5LP 1 week Lab 8 Infrared Communications
, students were invited to complete a survey.The results of the pencast surveys are given in Table 1 and Figure 1 and Figure 2 below.Accesses in Table 1 was generated by counting the number of times a student clicked on aparticular pencast link through the course webpage. Table 1 shows that students thought thepencasts were easy to read, had just about the right number of steps, were easy to follow, and hadappropriate pacing.Table 1. Summary of pencast surveys and accesses Pencast # 5 6 7 8 Length 27:21 21:48 37:24 50:59 Accesses 137 139 157 138 Total Responses 63 60 63 36 Easy to Read 88% 93% 97% 81% Right Number of Steps 84% 85
= 70 secondsData Generated from Traditional and Enhanced Sequences time(second) time(second) time(second) time(second) Produced traditional enhanced Produced unit unit traditional enhanced 1 60 70 26 1560 570 2 120 90 27 1620 590 3 180 110 28 1680 610 4 240 130 29 1740 630 5 300 150
insoluble and not dividedat the molecular level. The particles are on the order of 20-50 microns in size.A useful comparison to make in class is to compare a solution and a colloid. These comparisonsare rarely made in general chemistry or materials courses, but important because students oftenmisuse the term solution. Students could be given the column and row headings and complete theelements of the table either individually, in small groups or as a large group classroomdiscussion. Table 1: Comparison of Colloids and Solutions Colloid Solution Phases Involved (solid, solid in solid; solid in liquid, solid in liquid, liquid in liquid, gas
NovaMill was given to apair of students as a Senior Design project in the fall of 2017 through spring 2018 [1]. Thestudents followed a guide found online for a very similar Denford NovaMill CNC machine toremove the legacy printed circuit board based controller and replace it with a BeagleBone BlackMicrocontroller, a low-cost, community-supported development platform that runs Linux CNC[2-4]. The BeagleBone Black was interfaced with the NovaMill CNC control panel by utilizinga Probotix Breakout Board and installing the Linux Debian-based distribution of Machine-Kit onthe BeagleBone Black.III. GENERAL TROUBLESHOOTING METHODOLOGYTroubleshooting, at its core, is a logical and systematic search for the source of a problem.Troubleshooting is always
12345 Confirm Student in Mentor Can Solve them Support Guide --- Apply Steps 3 4 5 in Support Guide M. Vitale, HISP Project, 6-29-17 Figure 3. Project Mentor Framework for providing mentor assistance.----------------------------------------------------------------------------------------------------------------------- Guidelines for Course-Specific Support Provided by Undergraduate Mentors 1. Mentor Preparation a. General Preparation (Need class syllabus, class textbook(s)) b. Class Specific Assistance Preparation
doundergraduate students use engineering judgment and draw conclusions from their experimentallabs and design projects?2. Literature Survey2.1 Definition of engineering judgementMultiple definitions exist for the term, “engineering judgment”, and those definitions are variedby their rhetorical situations and contexts. We found four sources to define engineeringjudgement and they are summarized in Table 1.Table 1. Definitions of engineering judgement Author Definition Context Yasseri [7] Engineering judgment is the glue which binds the In a technical journal best available evidence. Evidence could be research paper in the subsea based, empirical, peer
) country pre-visit overviews; and 5) skills for independent travel abroad.During the month of May, RSAP participants embark on a two week in-country experiencethroughout Italy, Switzerland, Germany and France. To broaden their knowledge of engineeringwith an added international perspective, students participate in a diverse array of technical visits,lectures, and tours. These experiences were intentionally chosen to demonstrate a broad base ofengineering industries (e.g., automotive, food processing, robotic, etc.) in other countries andcultural experiences in each country destination. The visits were also chosen to align with thefive course objectives:Immediately after the RSAP experience, student participants will be able to: 1. Define 'global
Month 9 Step Step 1: Determine Q Concourse Step 2: Develop the Q-Set Determine Initial Q-Set Pilot and Finalize Q-Set Step 3: Select the P-Set Step 4: Conduct the Q-Sort Step 5: Analyze and Interpret ResultsConclusionQ methodology is a social science research methodology used to study how people think about atopic, defined as their viewpoint, as based on their individual experiences. As a mixed methodsresearch methodology, it combines the strength of qualitative data collection with complexquantitative data analysis. The qualitative data collected is used to interpret and enhance theresults of the quantitative analysis. While Q methodology is not generalizable, its resultingfactors represent generalizations
collectionnow include advanced settings for an entire semester with: dates for administration, start andstop times, and notifying students start, stop, and deadline reminders. Output is automated andincludes: a PDF of all comments and intensity ratings (1-5); an excel spreadsheet with allresponses; and a word cloud. This information for the instructor is available from the CW site,which also permanently stores all responses generated. A second tool available on CW is a web-enabled collection of over 200 materials-related Conceptest question sets used for classroomclicker questions or pre-post topic concept quizzes, both of which are now easier to use via theweb, which can increase usage. This set of materials science concept questions is but a small
the U.S. “will need a steady supplyof well-trained engineers, scientists, and other technical workers, as well as a technologically andscientifically literate general public, to succeed and prosper in the twenty-first century.” [1]Further, there is agreement that solving the most critical problems facing society requires aSTEM workforce that mirrors its diversity. The publication of Broadening Participation inAmerica’s Science and Engineering Workforce and subsequent Broadening Participation inAmerica’s STEM Workforce and Pathways to Broadening Participation in Response to theCEOSE 2011-2012 Recommendation places great emphasis on innovating pathways to includewomen, minorities, and disabled persons in commensurate numbers and shifting
-property relationship of polymeric materials. The course is a lecture course withlaboratory sessions to help students understand the fundamental concepts in which will beapplied in the laboratory with 3D printing. The course is offered in the spring semester servingapproximately 15 chemical engineering students. By introducing 3D printing as a class project,students will be able to 1. Think critically and analyze the literature in the 3D printing area. 2. Identify 3D model files, such as, STL files. 3. Modify 3D model files and understand design parameters regarding part quality. 4. Gain skillset to create new objects using the aid of computers, for example, TinkerCAD. 5. Compare finished products using different 3D printing and the
Power in South Sudan: Principles and Applications of Off-Grid Solar Energy(Introduction)Module 1, divided into six sections, covers introductory topics that are necessary to understandthe context of solar power technology and the environment. This module begins with anintroduction to South Sudan, energy access, and solar energy prospects in the country. Sectiontwo outlines the Principles of Electricity & Solar Energy Generation, which is designed toacquaint both the non-technical and technical readers of the fundamental principles of electricityas well as the physics of how electricity is generated by a solar power module [16] was found tobe a useful reference for this section. This is followed by Section 3 on the building Blocks of aSolar
(9)This yields the one-dimensional wave equation ∂ 2u ( x, t ) 1 ∂ 2u ( x, t ) = 2 , (10) ∂x 2 c ∂t 2a fundamental example of a hyperbolic partial differential equation, where c = K λ is thespeed of wave propagation. The generalization of the above derivation to two and moredimensions is straightforward.ImplementationThe computer program written and implemented by the students in C# is structured in the fourmodules User Operation, Calculation, Visualization, and Error Handling. An essentialfeature is the declaration of the class Particle, because classes support inheritance
program goals of advancing STEM literacy, educating students utilizing a curriculum that meets national STEM standards, and inspire and prepare a more diverse student population to pursue college and careers in STEM-related disciplines. Program activities included CEAs, field trips, guest speakers, laboratory visits, mentorship, interactions with professionals, team projects, engineering design competition, and other confidence building exercises. All program activities were conducted under the supervision of ECSU faculty members and certified K-12 instructors from partnering school districts. A summary of program activities and sessions are shown in Table 1. Table 1: Program ActivitiesSessions
for Configuration Aerodynamics: A CaseStudy”, 44th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, USA, 2006.[8] D. L. Ashby, “Potential Flow Theory and Operation Guide for the Panel Code PMARC_14”,NASA/TM-209582, 1999.[9] J. McCune, H. Wachman, and E. Murman, “A Workshop on Teaching Fluid Mechanics withWorkstation Based Software”, Final Report, National Science Foundation, 1990.[10] F. Stern, T. Xing, D. Yarbrough, A. Rothmayer, G. Rajagopalan, S. P. Otta, D. Caughey, R.Bhaskaran, S. Smith, B. Hutchins, and S. Moeykens, “Hands-On CFD Educational Interface forEngineering Courses and Laboratories”, Journal of Engineering Education, 95(1), January 2006.[11] J. Cabral, “Is Generation Y Addicted to Social Media?”, The Elon Journal
) (11 in AE) Science (1) Figure 11. Departments at Texas A&M University where Camp SOAR seniors applied.Both the AE Department and Texas A&M University benefitted from Camp SOAR. Of course,the argument could be made that the students would have decided to attend Texas A&M anddeclare the same majors without the benefit of Camp SOAR, but survey feedback and detailedfeedback from Facebook indicate that the camp had a major effect on the perception ofengineering in general by the student and AE in particular with comments, such as “…I wantedto thank everyone who made Camp SOAR such an awesome experience! I had a blast, but moreimportantly I now truly feel like Texas A&M is where I belong! Hope to see
MATLAB command requiring the students toexperiment with the variables of time and frequency. To minimize this confusion, in the ZOOMsession, the author displayed a 6-foot long spring, shaking it, which looked like a sine wave. Theauthor then identified the amplitude or ‘strength’ of the wave and the distance between peaks orcrests. These exercises and a MATLAB homework assignment provided a basis for the end ofsemester SHM experiment. Students were presented the sine function and lectures on MATLABvariables, arrays, vectors and plot commands. Fig. 2 displays the MATLAB code required by thestudents to generate sine waves. % define each musical note t = 0:0.01:1 % create 101 points in time up to 1 second total time a=sin(2*pi*440*t); % sine
Paper ID #18593Industry-Aligned Interdisciplinary Program DesignDr. Morad Rachid Atif , Texas A&M University Dr. Morad Atif is the Director of Architectural Engineering and Professor of Practice at Texas A&M University. He held executive positions at the National Research Council of Canada, including Director- General of the Institute of Research in Construction and of Canada’s National Building and Energy Codes; Director of the Indoor Environment Research Program and of the Canadian Center of Housing Tech- nology. He served as Chairman of the International Energy Agency’s Executive Committee of Energy
Paper ID #31967Critical Educational Theory: Applications in Engineering EducationMs. Corin L Bowen, University of Michigan Corin L. Bowen is a doctoral candidate in the aerospace engineering department at the University of Michigan in Ann Arbor. Her thesis research includes both technical and educational research. Her en- gineering education research focuses on the interactions between structural oppression and engineering systems. She holds a B.S.E. in civil engineering from Case Western Reserve University and an M.S.E. in aerospace engineering from the University of Michigan, both in the areas of structural engineering
some of the standard applicable testing methods for testing the mechanical andsurface properties of additively manufactured test samples in universities. In the presented model,students use polymer or metal 3D printers to manufacture their test samples for tensile, impact andhardness test equipment to measure the mechanical properties of the printed materials. They alsomeasure and compare the surface properties such as surface roughness, metallography andmicrostructure, and resistance against wear, abrasion, and corrosion. The presented model isintended to provide students with a general idea about the usefulness of AM materials and theprobable differences between them and conventional materials. The model can be developed as anew course or be
analogy with other members of its class about why the material’s propertiescould be altered. A more technical audience, however, is interested in much more informationabout the material’s structure, the processing method and parameters, and the tools used tomeasure properties, structure, and performance. Thus, the Reasoning Diagram also showsstudents that the disciplinary reasoning, and the articulation of that reasoning, are alwaysintegrated.Figure 3. Lines of explanation for general or technical audiences are shown in rows on thereasoning diagram.ResultsIn this section, we report on the outcomes of introducing the MSE reasoning diagram in asophomore-level Materials Science lab course for two consecutive offerings, in the Fall of 2014and Fall of
industry,it is essential to explore their views on data science. This includes understanding its significanceand practicality in relation to their field of study, alongside gauging their willingness to integratedata science principles into their academic and future professional pursuits. Understandingstudents' attitudes towards data science is essential for several reasons: 1. Curriculum Development: Insight into students' perceptions allows educators and curriculum developers to tailor educational programs that not only meet the technical demands of the industry but also align with students' interests and aspirations. This ensures the development of engaging and relevant content that enhances learning outcomes
pattern calculated at 35 comparedto 25 for the revised pattern, as determined by Equation 1. This decrease in complexity correlateswith an improvement in graduation rates. Figures 8a and 8b provide MDP representations of theengineering curricular patterns from Figures 7b and 7c, denoted as M1 and M2 , respectively. Thepolicies π M1 (a/s) and π M2 (a/s), integral to these representations, are also included in Figure 8.Generally, these policies are inherently shaped by the curricular structure itself. For instance, inFigure 7b, a student completing the P recalc course is typically limited to enrolling in Calculus I,barring any dropout scenarios. Therefore, for the P recalc state in Figure 8a, the only viable actionis enrolling in Calc I (i.e., π
individual brainstorming, namely brainsketching, is applied to facilitateand promote creative idea generation in educational based design activities thus developstudent’s ability to conceptualise and record a quantity of ideas.Brainwriting technique BrainsketchingBrainstorming is a technique for creative problem solving, which was developed and coinedby Alex Osborn11-15. Rawlinson14 states that the success of brainstorming depends onOsborn’s11 four central guidelines: 1) no criticism; 2) freewheeling is welcome; 3) quantityand combination are required11, 13. In educational environments students often covet theirideas due to concerns for peers copying ideas. Group dynamics play a considerable role inbrainstorming. According to Paulus & Brown17
computational methods being used and for the students to have significant one-on-one help from both the professor and IAs during the class meetings. Each course consists of a 1-hour long weekly lecture in addition to the labs. In the first year, these lab sessions occurredonce weekly for students for 2.25 hours, thus maintaining a ratio of instructor-to-student of atleast 1:8. In the second and third courses, labs met twice weekly for 1.5 hours each and the ratiowas closer to 1:13.The curriculum and assignments were developed by professors at OSU, and reading and supportmaterial was assigned from various texts available as eBooks on the university’s library system.The typical workflow for students included initial reading and video watching done
activities undertaken by the student.Unfortunately, in recent years, extensive use of solution manuals and replication of answers fromthe solution manual without any understanding has been a major hurdle in the learning process ofthe students. Blind faith in the solution manual rather their own abilities to solve problemsnegatively impacts a student’s conceptual understanding of the principles of Dynamics andtherefore impedes their critical thinking ability. This is a nationwide phenomenon [1], [2], [3]and some important reasons has been traced to – (a) students who are employed outside schoolfind less time in their studies, (b) lack of mathematical and analytical skills discourages studentsfrom trying on their own, and (c) instant gratification of
for c & h-j for design,contemporary issues, and social context.Laboratories are a natural fit for coursework combining development of engineering practicesand skills aligned with core content theories. Research indicates engineers “learn by doing”3-7,and that laboratory experiences are critical to development of professional engineers. While thereare variations in objectives for laboratory in the research literature, an approach taken by Ma andNickerson7, who conducted a literature review on laboratory objectives and then aligned them toABET objectives will be used here as a frame for discussion. It is easy using this frame toconnect and extend the original work7 to ABET goals for 2015 as shown in Table 1. This revisedframe was used by