1st Class 8th Class 3 2 1 A B C D E F G H I J K L M N O P Q R S T U V StudentFigure 7. Reviewer 1 scores of the sketches of the pipe fitting drawn in the first and eighthclasses (1= poor, 7=excellent). Scores for 15 students improved (green), 3 decreased (red), and 4stayed the same. 7 6 5 1st Class Score 4 8th
Sphere {1,1}Spheres enclose the most volume with the least surface. Conceptual spheres areconstructed in a 3D virtual world by a half circle, rotated 360°. Non Uniform Rational B-Splines (NURBS) are math, vector-based geometries that create, like the calculus,theoretically infinitively smooth surfaces. However, NURBS geometry is geodesicallytessellated or triangulated to calculate the digital render. Fuller’s (1960, pg 132) statesour Unity Sphere is a finite, geodesic, set of interconnected points (vertices): There is no phenomenon “solid matter” therefore there may not be a “solid” sphere, nor a “solid” surface sphere. All spheres consist of high frequency constellations of event-points, all of which are approximately equidistant from
Paper ID #7019Assessment Process Using the First Year Computer Graphics Course at Uni-versity of Arkansas at Little RockDr. Srikanth B Pidugu, University of Arkansas, Little Rock Dr. Pidugu is an associate professor of Mechanical Engineering Technology program at University of Arkansas at Little Rock. He obtained Ph.D. in Mechanical Engineering at Old Dominion University in 2001.Prof. Mamdouh M. Bakr, University of Arkansas, Little RockDr. Swaminadham Midturi, University of Arkansas, Little Rock Professor of Mechanical Engineering Technology at the University of Arkansas at Little Rock. he has been a member of ABET
making their drawings. The students that did not finish their Page 23.233.5drawings within the class time were asked to finish the drawings on their own time beforethe next class. a) b)Figure 1. Module One a) in-class assignment drawing and b) homework drawing.In addition, to further practice and strengthen the skills and methods covered during thefirst class, students were asked to complete a homework assignment (shown in Figure 1b)before class the following week. This gave the students an opportunity to practice makingdrawings and receive individual feedback at the beginning of the second class.From the
reflections, and observations by the instructor while they work in class as well as students’ responses to a survey related to the assignment. Formative assessments are in the form of discussions with the members of the individual groups .14II. Emerging technologies for virtual active learning Pilot results were impacted by variability in students’ competency and self-‐efficacy with the new tools presented to them under tight time constraints. In order to establish baseline student competency with, and thereby measure the effectiveness of, A) the digital tablet and stylus and B) the Moodle Discussion Forum as collaborative ideation tools, units of
Paper ID #7859Computer Aided Reverse Engineering of a Toy CarDr. Jahangir Ansari, Virginia State University Jahangir Ansari is Associate Professor of Manufacturing Engineering at Virginia State University. He received his M.S. degree in Mechanical Engineering in 1979 and Ph. D. degree in Mechanical Design and Production Engineering in 1983 both from Seoul National University. He joined the faculty at VSU in 2002. His research interests include Structural Vibration, FEM, CAD/CAM/CAE, and Virtual Manu- facturing. Page
Paper ID #5943Developing Authentic Projects for a Senior Level Design ClassDr. MEHMET EMRE BAHADIR, MURRAY STATE UNIVERSITY MEHMET EMRE BAHADIR is an Assistant Professor of Industrial Technology at Murray State Univer- sity. His teaching and research interests are in the field of product design and sustainable manufacturing. Page 23.394.1 c American Society for Engineering Education, 2013 Developing Authentic Projects for a Senior Level Design ClassAbstractAt Murray State University
Paper ID #7577A Significant Reverse Engineering Project Experience within an EngineeringGraphics ClassProf. Douglas Howard Ross, University of Alabama, Birmingham Douglas H. Ross (M’11) received a B.S. in Mechanical Engineering from the University of Illinois at Champaign, Ill. in 1979. He earned an M.S. in Computer and Information Sciences from the Univer- sity of Alabama at Birmingham in 2007 and is a Ph.D. candidate in that department. He worked as a design and automation engineer for Flo-Con Systems and Vesuvius from 1979 to 2002. He worked as a programmer and instructor for the University of Alabama Birmingham from
Paper ID #7233A Comparison of Manual vs. Online Grading for Solid ModelsHolly K. Ault Ph.D., Worcester Polytechnic Institute Holly K. Ault received her BS, MSME and Ph.D. degrees from Worcester Polytechnic Institute in 1974, 1983 and 1988 respectively. She has worked as a Manufacturing Engineer for the Norton Company and Product Development Engineer for the Olin Corporation. She is currently Associate Professor of Me- chanical Engineering atWorcester Polytechnic Institute, co-director of the Assistive Technology Resource Center, and director of the Melbourne Global Project Center. In the fall of 2001, she was invited as the
Paper ID #6085Preferential Learning of Students in a Post-Secondary Introductory Engi-neering Graphics Course: A Preliminary Study Focused on Students At-RiskDr. Jeremy V Ernst, Virginia Tech Dr. Jeremy V. Ernst is an assistant professor in the Department of Teaching and Learning at Virginia Tech. He currently teaches graduate courses in STEM education foundations and contemporary issues in Integrative STEM Education. Dr. Ernst specializes in research focused on dynamic intervention means for STEM education students categorized as at-risk of dropping out of school. He also has curriculum research and development
, Page 23.169.6the current study is looking for evidence of standardised representations of the geometricconfigurations, which were originally presented to students in an unconventional format(figure 4).Figures 5 - 8 contain evidence of this issue taken from a sample of student portfolios (n=118)and range from large deviation (figure 5) to a smaller deviation (figure 8) in communicatedorientation. In order to illustrate the degree of variance from the geometric configurationsthat students were asked to visualise and communicate, a superimposed wireframe model ofthe original objects has been placed on top of student solutions in the second part (b) of theimage. The first, second and fifth configurations were chosen to investigate the issue
BFigure 1 A: Exploded view of the roller guide, B: 3-D view of the roller guide Page 23.762.3 A BFigure 2 A: Exploded view of the tool post, B:3-D view of the tool postThe end of course evaluation found that, students could follow the directions and accomplish theindividual project on time. However, they felt a guided project lacked challenge, and that theywould like to design a more complex model by themselves. According to the Bloom’s taxonomy,a guided individual project is considered as an application which can be used to test studentproblem solving ability as well as
academia andindustry in a variety of topics related to the CADD industry. Figure 2 shows the number ofparticipants with regard to their profession. Figure 2 – The participants in our survey from both academia and industry2.1. Participants from Academia (Faculty)We surveyed the type of program in which our academic participants teach or conduct research.In addition, we asked whether or not our academic participants have ever taught engineeringgraphics in 2D or 3D. As demonstrated in Figure 3 (a,b,c), more than 55% of our academicparticipants teach in the Engineering Technology program, 20% in Engineering, and the rest inIndustrial Technology, Applied Engineering, Technology Education, and others. Out of this
students’ ability to create solid models when givenan assembly drawing and their spatial visualization ability. Students were administered thePSVT:R and the MCT and were then given an assembly drawing and asked to model as many ofthe seven parts as possible during a 110 minute class period. The parts in the assembly ranged incomplexity from a ball to a valve body. Students were given a ruler to measure parts on the B-size drawing and determine sizes of features based on the given scale (2:1). Relationships wereexamined between the PSVT:R, MCT, modeling activity, final project and the final exam. Thispaper will present the results of this study and discuss implications for future research.IntroductionWith the reduced amount of instructional time
car body structure and engine layout (see Figure 1-b). 9 They are also incorporating thistechnology into their assembly lines to improve their manufacturing and assembly processes.Volkswagen uses AR for comparing calculated and actual crash test imagery, analyze interferingedges, plan production lines and workshops, compare variance of the vehicle parts and verifypart dimensions. AR can augment the effectiveness of navigation devices. Information can bedisplayed on a car’s windshield indicating information of where the user is going. In militarytraining, AR can be employed as a third eye for a soldier to help him to figure out if there issomeone on his back. In addition, with the usage of AR, a soldier does not have to stop to look ata map
b) Bottom View Figure 1 A Remote Controlled RC Car Prototype.There are over fifty components in the RC car prototype. This provided a realistic scenario toinform the students that product design requires the design and selection of many componentsin a systematic way in order for the product to function properly and to meet certain designspecifications. The sizes and dimensions of most of the components such as the wheels, the DCmotors for driving the RC car and a servo to drive the steering system were given to thestudents in the form of individual 3D CAD files so students don’t have to create them. Studentswere only required design three subsystems mentioned earlier: 1) the chassis, 2) the differential
consumer electronics product. Each student team is toanalyze the current offerings in the market and design a product that will better meet needs of thetargeted environmentally conscious/green population.The external design activities include following steps: Step 1. Analysis of customer needs Step 2. External search (Product Dissection and Benchmarking) a. Component and assembly analysis b. Literature Review c. Patent Search Step 3. Revising the design statement Step 4. Internal work for concept generation Step 5. Concept Generation (Conceptualization and Virtual Representation) Step 6. Concept Selection Step 7. Embodiment of the design and feasibility analysis
Graphics (Graphicon 2001). Nyzhny Novgorod, Russia 292–300.20. Connolly, P., & Maicher, K. (2005). The Developing and Testing of an Interactive Web-based Tutorial for Ortographic Drawing Instruction and Visualization Enhancement. Proceedings of the 2005 ASEE Annual conference & Exposition. Portland, Oregon.21. Barr, R. (1999). Planning the EDG Curriculum for the 21st Century: A Proposed Team Effort. Engineering Design Journal, 63(2), 4-12.22. Sorby, S., Wysocki, A., & Baartmans, B. (2003). Introduction to 3D Spatial Visualization: an active approach. Clifton Park, NY: Thomson Delmar Learning.23. Rafi, A., Samsudin, K., & Ismail, A. (2006). On improving spatial ability through computer-mediated Engineering Drawing
Information Graphics and Engineering DesignAbstractDocumentation for engineering design requires succinct project descriptions, often withinformation and data visualizations. In an effort to expose students to these types ofvisualizations students were asked to summarize each individual chapter of a technology-basedbook of their choice using a different visualization method. This exercise exposed students to awide range of methods and gave them tools for future engineering project document design. ThePeriodic Table of Visualization Methods1 website was used as a starting point for the types ofvisualizations students could explore. This site is an e-learning site focusing on visual literacy:the ability to evaluate, apply, or create conceptual visual
Paper ID #7532Teaching Sustainability in an Engineering Graphics Class with Solid Model-ing ToolDr. Ananda Mani Paudel, Colorado State University, PuebloDr. Jane M. Fraser, Colorado State University, Pueblo Jane M. Fraser is Chair of the Department of Engineering at Colorado State University, Pueblo. She was formerly on the faculty at the Ohio State University and Purdue University. She has a B.A in mathematics from Swarthmore College and a M.S. and a Ph.D. in industrial engineering and operations research from the University of California, Berkeley