AC 2012-3703: INTRODUCTORY ADSORPTION LABORATORY EXPER-IMENTDr. Polly R. Piergiovanni, Lafayette College Page 25.853.1 c American Society for Engineering Education, 2012 Introductory Adsorption Laboratory ExperimentAbstractIt is always exciting to bring nonengineering or first year engineering students into thelaboratory – they can learn a lot about engineering by working in the space, but theexperiment needs to be safe and accessible. This paper describes an adsorptionexperiment with safe and easy data collection. The analysis can be simple (graphingdisappearance of a dye as a function of time) or complex
double-stranded target DNA, annealing ofprimers to complementary locations on the denatured single-stranded fragments, and enzyme Page 25.473.2catalyzed extension to synthesize the complementary strands.The predominant thermocycler design employed in most laboratories essentially consists of ametal heating block whose temperature is regulated by computer-controlled thermoelectricheaters. Unfortunately, this design is very inefficient because its inherently high heat capacityseverely limits the attainable heating and cooling rates and consumes considerable electricalpower. These problems are compounded by the low thermal conductivity plastic
AC 2012-4579: REGULATORY COMPLIANCE TRAINING IN BIO/CHEMICALENGINEERING COURSESDr. Arthur Felse, Northwestern University P. Arthur Felse is a lecturer in the master’s of biotechnology program and the Department of Chemical & Biological Engineering at Northwestern University. His responsibilities include teaching, student advis- ing, coordinating master’s research training, and managing the biotechnology teaching laboratory. Before joining Northwestern University, Felse completed his postdoctoral training at the Polytechnic Institute of New York University, where he was awarded a NSF fellowship. He and his colleagues at Polytechnic Institute received the EPA’s Presidential Green Chemistry Challenge Award in 2003
Service Award in 2009. He is also a Test Bed Leader and member of the Leadership Team of the NSF supported Engineering Research Center (ERC), ”The Center for Structured Organic Particulates,” which won the 2010 Research Team Award in the College of Engineering at Purdue University. He is the author of 75 peer-reviewed publications and 10 patents. He received his B.S. in chemical engineering in 1981 from Mississippi State University, and both his M.S. (1987) and Ph.D. (1992) degrees in chemical engineering from the University of Tennessee while working full-time at the Oak Ridge National Laboratory. Harris’s research is in the areas of nano- materials, colloids and interfacial phenomena, transport phenomena, particle
a continuous flow reactor. The feed stream contains A and Bwith CA0=CB0= 2M and it is fed with a volumetric flow rate of 5 dm3/min. If a 50% conversion from thelimiting reactant is desired, determine the molar flow of each component at the reactor effluent. Figure 1. Example of a story problem for IQ-407 course. Adapted from Fogler1.Kinetics is the second pillar of chemical engineering. As mentioned before, rate laws have to bedetermined from experimental data, so laboratory work was used to support this topic learning.Three different methods for obtaining kinetics parameters (reaction order, reaction specific rateand temperature dependence) from experimental data were discussed at classroom. Then,students developed
institutions responding to the question, fifty (79.3%) indicated they offered asingle course in MEB. Twelve offered two courses, and one had three courses, though one ofthose courses was a general engineering course with related content. Of those institutionsoffering two or more courses, 3 were on the quarter system. Overall, institutions reported 4.7h/wk total devoted to the course, broken up into an average 3.2 h/wk on lecture, 1.3 h on problemsolving, and 0.2 h/wk on experimental laboratory.In 1990, 74% of responding programs offered one course in MEB, with the remainder offeringtwo courses. Laboratory courses were significantly more common, with 48 departments havingdedicated laboratory time averaging 1.92 h/wk. The 1999 survey indicates that 81
PlusDynamic Process Simulation and Basic ControlsThis part of the study was conducted by a University of Houston master thesis student in theprocess automation laboratory of the University of Houston – Downtown in partial fulfillment ofthe master thesis requirements at the University of Houston.Using the steady state design mentioned in the previous section, a rigorous dynamic processsimulation was developed using Aspen Dynamics. The use of Aspen Engineering tools todynamically predict process behavior and evaluate control structures is not yet widespread inacademia even though such tools (at least the steady state ones) are extensively used by theprocessing industries. It was decided to use such tools because of the rigor of the resultsproduced and
addresses all six cognitive levels of Bloom’s taxonomy.6 Of particularimportance is the critique phase of SBL wherein the Evaluation level of the taxonomy is clearlyinvoked. This aspect of learning is not incorporated in many active learning procedures butclearly is an essential part of SBL.A drawback to the implementation of SBL in a traditional class is the time constraint. As thetitle suggests, this technique has most frequently been used in studio-based classes. Thus theclass time allotted for the class is more typical of that for a laboratory class in engineering, twoto three hours. So while the SBL approach might work in a class for which an extendedrecitation section is part of the class, the time constraints inherent in a typical one-hour
literature studies also tend to focus on theapplication of plagiarism screening software to humanities courses, rather than for engineeringcourses requiring technical writing skills. It is possible that student views will vary depending onthe type of writing they are assigned. The objectives of this study are (1) to investigate theeffectiveness of plagiarism screening software in identifying plagiarism in ChE papers and (2) toidentify the attitudes of undergraduate ChE students toward their instructors using plagiarismscreening software.2. Description of studyPlagiarism screening software was applied to four courses in a university ChE curriculum duringthe Fall 2011 semester: a required junior-level unit operations laboratory course (CHE 330
student takes the feedback from all of their teammates, evaluates their own performance,and formulates a plan, consisting of a couple of goals dealing with these teamwork/leadershipskills, to focus on in the next team experience. This “next” experience will, except in the case ofthe Unit Operations lab, occur in the next semester. (The Unit Operations laboratory coursesincludes several projects allowing the cycle to be completed several times in each semester.) Atypical statement of this feedback and improvement plan assignment is shown in Table 2. Table 2. Feedback and Improvement Plan Assignment • Referring to the List of Leadership Qualities [in Table 1], provide for each member of your team a description of one or
students to gather heat transfer coefficient data for the extended area heat exchanger DLM cartridge.Shane Riley Reynolds, Washington State University Shane Reynolds is currently an undergraduate and will be graduating with a bachelor’s of science in chemical engineering in 2012. He helped develop the latest models of the Desktop Learning Modules and he will be working for E & J Gallo Winery as a process engineer after graduation.Dr. Paul B. Golter, Washington State University Paul Golter has been the Instructional Laboratory Supervisor for Washington State University’s Chemical Engineering and Bioengineering Department for the last 10 years. He has also been a part-time graduate student at this time and recently
Faculty GTA GTA GTA GTA Page 25.1443.3 GTA GTA Figure 1. Weekly class structure for a typical studio course.to reinforce content from the lecture that was delivered the day before. A few of the activitiesinvolve “virtual laboratories” where students collect data on their computers. Students each fillout an individual worksheet, but are often allowed to work in groups for all or part of the
retrieval in the second half of the semester, where students are expected to applysimilar ideas in team settings as they conduct experiments of their own design. Each week of labbrings feedback from the previous week and a new assignment for more practice building onexperimental design, statistical analysis, and communication skills. These skills are further testedin the senior level laboratory and design courses, which require the same reference texts.Clemson University is a medium-sized, Southeastern, public land-grant state institution with aunique governance system: of the 13 members on the Board of Trustees, seven are life trusteeswho select their successors, and six are appointed by the State Legislature. The overall studentpopulation is 54
situation that provoked their prediction. These situations are designed so that the predictions based upon the most common misconceptions fail to explain what is observed. Students are allowed and encouraged to “mess with” the experiment to verify that the surprising result isn’t a trick. Finally a series of follow-‐up and reflection questions encourages students to incorporate the new information into their existing understanding. Each activity is designed to take about 15 minutes and use materials found commonly in chemical engineering laboratories or available at Wal-‐Mart. These activities have been shown to improve students’ concept
important than one might think. The underlyingquestion for any interview interaction is "Why should we hire you?" Since the student is likelyto be asked this question, a short, prepared answer modeled on the STAR method is in order.11Questionnaire Results Showing Student FeedbackTo determine if students’ attitudes toward the assignment were as positive as I thought, I used aquestionnaire to gather their anonymous assessment of using the STAR method in my classes.The respondents were 35 of 38 seniors in two sections of a technical communication class as partof the senior chemical engineering laboratory. The main part of the questionnaire consisted of13 items that the students rated on a scale from 1 to 5 with 5 being the highest rating. There
Gilbuena, Oregon State University Debra Gilbuena is a Ph.D. candidate in the School of Chemical, Biological, and Environmental Engi- neering at Oregon State University. She currently has research focused on student learning in virtual laboratories. Gilbuena has an M.B.A., an M.S., and four years of industrial experience, including a po- sition in sensor development, an area in which she holds a patent. Her dissertation is focused on the characterization and analysis of feedback in engineering education. She also has interests in the diffusion of effective educational interventions and practices.Dr. John L. Falconer, University of Colorado, BoulderDr. David L. Silverstein, University of Kentucky David L. Silverstein is