Conference Session

Manufacturing Division Session - Virtual and Augmented Reality

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Emily Welsh, Massachusetts Institute of Technology; Dan Li, Massachusetts Institute of Technology; A. John Hart, Massachusetts Institute of Technology ; John Liu, Massachusetts Institute of Technology

Tagged Divisions

Manufacturing

variety of colors, optical properties, and textures. In particular, smooth and flat,reflective features such as the touchscreen are especially challenging to capture digitally from thephysical object.Our initial method for creating high fidelity scans was 3D scanning (Figure 6a). Scanning can beused to create life-sized 3D models that include realistic colors and textures. However, thescanner we had access to, the Sense 2 from 3D Systems, struggled to retain tracking on the flatsurfaces of the tablet components. The resolution produced by the scanner was also lacking.When 3D scanning was unsuccessful, we pivoted to photogrammetry. Photogrammetry has beenused successfully to create 3D reconstructions of real world objects for digital

Conference Session

Manufacturing Division - Workforce Development and Curricular Innovations

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Marilyn Barger P.E., FLATE, Florida Advanced Technological Education Center; Richard Gilbert, University of South Florida; Phil Centonze, FloridaMakes; Sam Ajlani, College of Central Florida

Tagged Topics

Diversity

Tagged Divisions

Manufacturing

thesetechnologies. The two columns of data reflect participant group preferences. Thus, the first row(under Autonomous Robots) in Table 2, “Programming”, was among the top five selections for34% of the manufacturers and 52% of the college faculty.The plan for the data analysis was to address the five questions summarized in Table 3. The orderof the questions in the table does reflect the analysis progression through the aggregated data.Thus, the first order of events was to determine the popular skill selections for manufacturers andeducators. Once those selection percentages were reviewed, the degree of popularity by groupwas explored. After reviewing aggregated responses, the fourteen skills were grouped based ondifferences between the manufacturers’ and

Conference Session

Manufacturing Division Session - Virtual and Augmented Reality

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jose Diaz; Curtrell Trott; Fatahillah Iskandar; Ju Wang, Virginia State University; Zhenhua Wu, Virginia State University

Tagged Divisions

Manufacturing

this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Reference[1] Chandramouli, M., & Jin, G., & Heffron, J. D., & Fidan, I., & Cossette, M., & Welsch, C. A., &Merrell, W. (2018, June), Virtual Reality Education Modules for Digital ManufacturingInstruction, Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah.10.18260/1-2—31225[2] El-Mounayri, H. (2005, June), Virtual Manufacturing Laboratory for Training andEducation, Paper presented at 2005 Annual Conference, Portland, Oregon. 10.18260/1-2--15154[3] Yingxue Yao, Jianguang Li, Changqing Liu, A Virtual Machining Based Training System ForNumerically Controlled Machining

Conference Session

Manufacturing Division Technical Session - Robotics and Manufacturing

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Arif Sirinterlikci, Robert Morris University

Tagged Topics

Diversity

Tagged Divisions

Manufacturing

of an Arduino-based modular structure and possible use of self-configuration. This paper includes the detailedsketch of the development efforts, engineering students’ reflections on the development project,design and delivery of the high school workshop including high school student feedback, andpossible future college level curricular designs for modular industrial robotics for industrial,mechanical, and manufacturing engineering programs. The paper is concluded with future workconcepts including possible kinematics and dynamics modeling of these industrial robotconfigurations through simulation tools such as DELMIA or MapleSIM, along with use ofmachine learning for self-configuration.BackgroundThe modular robot is a fairly new type

Conference Session

Manufacturing Division Session: Make-it!

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Samuel C. Lieber P.E., New Jersey Institute of Technology; Justin T. Suriano, New Jersey Institute of Technology; Daniel Brateris, New Jersey Institute of Technology

Tagged Divisions

Manufacturing

Fall 2020 semester, were evaluated alone. There was no “stronglydisagree” in the 3rd Yr. MFG CRSE response and an increase in the “Agree” response. The modeand median in this group alone were 2 and 3 respectively. These findings may indicate that theCOVID-19 requirements do pose a concern for those trying to pursue academic requirements. Thispoint would have to be further investigated with a follow up study. Representative comments fromthis group also reflect the results of the compiled surveys (Table 6). Comments reflect thatrespondents recognize the importance of the protocol for safety, but it does affect their NJITMakerspace usage time. In addition, PPE such as the gloves presented a concern in practice. Thiswould need to be further

Conference Session

Manufacturing Division Session - Virtual and Augmented Reality

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Rui Zhu, Complex System Monitoring, Modeling and Analysis Laboratory, The Pennsylvania State University, University Park, PA, 16802, USA; Faisal Aqlan, The Pennsylvania State University - Erie Campus; Richard Zhao, University of Calgary; Hui Yang, The Pennsylvania State University

Tagged Divisions

Manufacturing

expert problem-solving [16]. The proposed approach allows modeling physics to beintegrated into a typical introductory college mechanics course. A third study developed modelsof problem-solving to study children’s problem-solving process [17]. According to the study, theconception of modeling the problem-solving process could provide a unifying framework forthinking about problem-solving in children.In this research, we integrate eye-tracking and VR to collect data from participants during theproblem-solving process. The collected data is used to develop models that allow for quantifyingand understanding the behavior of problem solvers and how their performance is compared toexperts. Performance measures are then developed to reflect the problem

Conference Session

Manufacturing Division Session: Make-it!

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joseph Dennis Cuiffi, Pennsylvania State University, New Kensington; Haifeng Wang, Pennsylvania State University, New Kensington; Josephine Heim, Pennsylvania State University, New Kensington; Brian W. Anthony, Massachusetts Institute of Technology; Sangwoon Kim; David Donghyun Kim, Massachusetts Institute of Technology

Tagged Divisions

Manufacturing

ofmodern data collection and modeling. The mix of participants was interesting and reflected theinterdisciplinary training needed to implement Smart Manufacturing techniques. Out of 15 thatresponded, 2 were in business operations, 4 were in engineering, 3 were in technicalmanagement, 2 were technicians, and 4 were in Information Technology. Their prior exposure toSmart Manufacturing also varied, as shown in Figure 4a.The training focused initially on Smart Manufacturing definitions and then used the FrEDexample to walk the participants through advanced data collection, data analysis, and simulationsto improve the process. All of the materials were simply demonstrated given the time constraints.The overviews and demonstrations appeared to resonate

Conference Session

Manufacturing Division Technical Session Innovative Pedagogy in Manufacturing Education

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Zhenhua Wu, Virginia State University; Lorin Scott Sodell, Virginia State University College of Engineering and Technology; A.A. Elmustafa, Department of Mechanical and Aerospace Engineering, Old Dominion University and The Applied Research Center-Thomas Jefferson National Accelerator Facility; Dawit Haile, Virginia State University

Tagged Topics

Diversity

Tagged Divisions

Manufacturing

-axisCNC machine through a grant awarded by DoD, and in the future we will continue enhancing ourlaboratorial tools and environment on multi-axis machining for aerospace parts such as blisks andturbine blades, and then integrate and evaluate these tools in the Manufacturing Engineeringcurriculum.AcknowledgementThe authors would like to acknowledge support from NASA (award number: 80NSSC20M0015).The blisks machining tasks was also partially supported by DoD (award number:W911NF1910464). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of NASA and DoD.Reference1 . 2020 Facts and Figures U.S. Aerospace and Defense https://www.aia-aerospace.org/wp

Conference Session

Manufacturing Division Technical Session - Online and Remote Learning Communities

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Khalid H. Tantawi, University of Tennessee at Chattanooga; Ismail Fidan, Tennessee Technological University; George Chitiyo, Tennessee Technological University; Mel Cossette, Edmonds College

Tagged Topics

Diversity

Tagged Divisions

Manufacturing

workshops. While only two and three states were represented in the first andsecond workshops consecutively, 18 states were represented in the third workshop. Almostsimilar advertising efforts were made for all three workshops, with more outreach efforts madeto regional institutions for the first and second workshops than for the third workshop. Figure 2: On-ground AM-WATCH Studio Workshop Participants with Social Distancing and Use of Mask (Left). An on-ground AM-WATCH Studio Workshop Participant working on his 3D Pen exercise (Right).Despite the increase in diversity by state, the online workshop saw a noticeable decrease inapplicants from high schools compared to higher education institutions. This is reflected in

Conference Session

Manufacturing Division Technical Session Innovative Pedagogy in Manufacturing Education

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Mustafa Shraim, Ohio University; Yuqiu You, Ohio University

Tagged Divisions

Manufacturing

andproduct quality. To optimize the system performance, it is important to identify the key factorsthat play significant roles. This study presents a quality control application to optimize anelectrohydraulic system in the presence of extraneous variability. The performance measures ofthe system are response time of the cylinder to a target setpoint position and positioning errorsthat reflect the deviation of current cylinder position from the target position. The controllableprocess parameters (factors) in this system include fluid pressure, proportional gain of thecontroller configuration, and signal communication (local vs. remote). The ambient temperaturewill be used as the extraneous noise variable to simulate real-life manufacturing