semester. As a reminder, the heat transfer cannotbe directly determined from a P-V diagram. This part of the task requires students to use the FirstLaw, ∆U = Q − W , and knowledge of the work and internal energy comparisons from the othersections of the task. We have also created a one-dimensional work task (see Fig. 2) appropriate for students in ourintroductory courses. In this task, students compare the net work done in propelling a cart the samedistance using two different propulsion methods. We have also altered the phrasing from a questionto a statement. This task differs in two main ways from the P-V task. First, the variables aren’tstate variables. We would need to use tension and extension to get the equivalent one-dimensionaltask and
and an electrical system. For a spring-damper-massmechanical system in Figure 1(a), mass, damping coefficient, and stiffness are represented by m,b, and k respectively. If the excitation force is f(t), the equation of motion in terms ofdisplacement x(t) is m%x% - bx% - kx ? f (t ) (1) Page 12.1364.3For the electrical system in Figure 1(b), L, C, and R represent the inductance, capacitance, andresistance respectively. Mathematical modeling in terms of electrical charge q is as following,when the voltage source e(t) is applied. 1 Lq
this module through active work and practice.• Draw a schematic for a closed system and label it with the given information.• Apply the energy balance equation for a closed system, correctly applying SI and English units.ResourcesRead Ch. 2.3-2.5 (pages 55-72) in the textbook. Pay attention to the following:• Sign convention for heat transfer• Equation 2.35b (closed system energy balance equation)• Example 2.2ExercisesThese exercises can be done during or after your reading. They are intended to help you makeexamples of the concepts you are reading. Work these out on scratch paper, and then you will beasked to submit the results at the end.1. Why is it incorrect to say that a system contains heat?2. For a process in a closed system, Q
identify an opportunity application and to generate contents for poster • 3rd class – 1) team to set up poster (3 min), 2) team to view/study posters (8 min) (gallery walk), 3) presentation (3 min – one representative each team) with Q&A (3 min), 4) voting (2 min), 5) debriefing/reflection (*deliverable: poster) • Team to submit a tech brief (a week) (*deliverable: tech brief)Pilot Implementation AssessmentThe module was first implemented in Spring 2018 term in the Introduction to Robotics course.The class comprised 12 students (1 woman, 12 men), all juniors and seniors MEs. Overall, the3-stage deployment structure as well as in-class activities worked out as envisioned.To assess the efficacy of the module, the
ecology and environmental biotechnology. Environmental Science & Technology 2006, 40,1096-1103.11. Hu, Z. Q., Chandran, K., Grasso, D., and Smets, B. F. Effect of nickel and cadmium speciation on nitrification inhibition. Environmental Science & Technology 2002, 36,3074-3078.12. Ellis, T. G., Barbeau, D. S., Smets, B. F., and Grady, L. C. P. Respirometric technique for determination of extant kinetic parameters describing biodegradation. Water Environment Research 1996, 68,917-926.13. Magbanua, B. S., Smets, B. F., Bowyer, R. L., Rodieck, A. G., Sanders, R. W., Sowers, W. W., Stolze, S. B., and Grady, C. P. L. Relative efficacy of intrinsic and extant parameters for modeling biodegradation of
) ν∞where U∞ is the free stream velocity, c is the chord length of the airfoil and ν ∞ = µ∞ / ρ∞ is thekinematic viscosity of the fluid where µ∞ is the dynamic viscosity and ρ∞ is the density. Thepressure distribution over the airfoil is expressed in non-dimensional form by the pressurecoefficient p − p∞ Cp = (2) q∞ Page 12.123.5where p is the surface pressure measured at different locations on the airfoil surface, and p∞ ,q∞ = ρ∞U∞2 /2 are the free stream static and dynamic pressure, respectively. The pressurecoefficient
Undergraduate Engineering Education,” J. Engineering Ed., Vol. 94, No. 1, 2005, pp. 121-130.3. Kline, R., “World War II: A Watershed in Electrical Engineering Education,” IEEE Technology and Society Magazine, Summer 1994, pp. 17-23.4. Dutson, A. J., R. H. Todd, S. P. Magleby and C. D. Sorensen, "A Review of Literature on Teaching Engineering Design Through Project-Oriented Capstone Courses," Journal of Engineering Education, Vol. 86, No. 1, 1997, pp. 17-28.5. Howard, B. “Enough of this Science and Mathematics, Let’s Do Some Engineering,” Proc. of the Frontiers in Education Conference, 1999, Session 13d2, pp. 8-10.6. Nguyen, D. Q., “The Essential Skills and Attributes of an Engineer: A Comparative Study of Academics, Industry Personnel
special cases.As a case in point, the Fundamentals of Engineering Supplied-Reference Handbook includes 6first law equations for closed systems and 11 for control-volume systems. This often leads toconfusion and detracts from the students’ appreciation for the fundamental nature of the principle.The authors have typically modeled problem solutions using only two first law equations: one forclosed systems and one for control volumes. The form of the first law used for control volumes isprovided below. dEcv /dt = Q˙ cv − W ˙ cv + Σm ˙ i (hi + Vi2 /2 + gzi ) − Σm ˙ e (he + Ve2 /2 + gze ) (1)The left term
Surface Temperature, T ( x, t ) − Ts x = erf (13) Ti − Ts 2 α ⋅t Constant Surface Heat Flux, α ⋅t 2 ⋅ q"0 π exp − x − q"0 ⋅x erfc x 2 T ( x, t ) − Ti = 4 ⋅α ⋅ t (14) k k 2 α ⋅t and
or stakeholder. i. Integrate information from many sources to gain insight. j. Assess and manage risk. k. Persist through failure. l. Apply creative thinking to ambiguous problems. m. Apply systems thinking to complex problems. n. Evaluate economic drivers. o. Examine a customer’s or stakeholder’s needs. p. Understand the motivations and perspectives of others. q. Convey engineering solutions in economic terms. r. Substantiate claims with data and facts.The answers were provided in 5 scales: 1. None at all 2. Slightly 3. On some occasions 4. Many times 5. Throughout most of the projectFollowing the questions above, the students were also asked about their team dynamics: s. To what extent did you work as a team
following auxiliary functions to facilitate the evaluation of µmin : r (θ ) ≡ 32 − 2 d∗ cos θ q (θ ) ≡ r (θ ) Rg θ 2 = r (θ o ) − r (θ ) (B-15) r (θ o ) p (θ ) ≡ − r (θ ) Rg θ = r (θ ) d∗ sin θ APPENDIX B: NEWTONIAN METHOD SUPPLEMENTWhen the functions indicated in Eqs. (B-15) are combined with Eq. (B-12), a simpler expressionfor µmin is obtained as a function of θ alone: (1 − d∗ cos θ ) p(θ ) − (d∗ sin θ ) q(θ
Worksheet Worksheet Worksheet Worksheet Learning outcomes Bloom Question Bloom Question Illustrate the planes where shear stresses in beams develop. Explain under what loading transverse shear in beams develops. Comprehension ws5a Q5 Comprehension ws5 Q6 Demonstrate how transverse loads on a beam generate shearing stresses Identify the correct area for calculation of Q. Application ws5a Q6 Application ws5 Q9 Identify the location of the maximum transverse shear. Application ws5a Q7 Application ws5 Q7 Determine transverse shear in a beam
. Imbalzano, K. T. Q. Nguyen, and D. Hui, “Additive manufacturing (3D printing): A review of materials, methods, applications and challenges,” Compos. Part B Eng., vol. 143, no. December 2017, pp. 172–196, 2018, doi: 10.1016/j.compositesb.2018.02.012.[2] C. Yu and J. Jiang, “A perspective on using machine learning in 3D bioprinting,” Int. J. Bioprinting, vol. 6, no. 1, pp. 4–11, 2020, doi: 10.18063/ijb.v6i1.253.[3] U. Delli and S. Chang, “Automated Process Monitoring in 3D Printing Using Supervised Machine Learning,” Procedia Manuf., vol. 26, pp. 865–870, 2018, doi: 10.1016/j.promfg.2018.07.111.[4] Y. Zhao, T. Birdal, H. Deng, and F. Tombari, “3D point capsule networks,” Proc. IEEE Comput. Soc. Conf
; Exposition, Indianapolis, IN, 2014.[3] Q. Dunsworth and Y. Wu, "Effective Review of Prerequsites: Using Videos to Flip the Reviewing Process in a Senior Technical Course," in Proceedings of 125th ASEE Annual Conference & Exposition, Salt Lake City, Utah, 2018.[4] Z. Jiang, A. W. Maxwell and Z. H. Merchant, "Using Mobile Learning to Improve Low Success Rate in Engineering Courses," in Proceedings of the 125th ASEE Annual Conference & Exposition, Salt Lake City, Utah, 2018.[5] C. J. Brame, "Effective educational videos," 2015. [Online]. Available: https://cft.vanderbilt.edu/guides-sub-pages/effective-educational-videos/. [Accessed 3 February 2019].[6] "Learning Glass," [Online]. Available: https://www.learning.glass
desired output to the required input.The desired output is the power produced to propel the aircraft and the required input isthe heating value of the fuel . WP ηP = . (11) Q in . . Qin = m HV fuel (12)Where HVfuel is the heating value of the fuelExperimental Results Figures 6-11 show sample of the output
extends to infinity in all but one direction as shown in Figure 1.Statement of the problem:A homogeneous isotropic solid occupying a semi-infinite region, x > 0, is initially at a uniformtemperature Ti . For times t > 0, the medium is suddenly heated at its surface with a time-dependent surface flux 𝑞!! (𝑡). The thermal properties k, Cp, and ρ are all assumed to be constant.Determine the transient temperature distribution in the medium and the surface temperature. T q"(t) Ti δ(t) -à ∞ 0 x Figure 1
thermoelectric device (Type-T thermocouple) Heater voltage, measured using a voltage divider (analog voltage input) Load voltage, measured across variable resistor Partial load voltage, measured across the 0.488Ω fixed resistor and used to calculate load current.In order to calculate efficiency using Equation (1), the input heat, Q in, and output power Pout,must be found. The input heat is found using the heater voltage and heater resistance as shownin Equation (2) below. (2)The heater voltage was measured by the data acquisition system and the heater resistance wasmeasured as 9.00Ω prior to testing.The power output was calculated using the
visualization is the determination of the airspeed or flow rate in the ductmodel. The airspeeds are too small for the normal wind tunnel measurement system whichmakes use of the pressure drop in the wind tunnel converging section resulting from theBernoulli effect. An indirect method is possible, by measuring the volumetric flow rate supplied Page 14.208.7to the rake manifold from the smoke generation system. If the total volumetric flow rate of aircontaining smoke is Q, then the average discharge velocity from N identical rake tubes will be U= Q/(NA), where A is the internal cross-sectional area of a single typical rake tube. Since theexit tube flow
direct assessment in the course include weekly homework (H), weeklyquizzes (Q), midterm exam (M), final exam (F), and design project (P). The studentpopulation from the 2007-08 academic year consisted of 8 students. The Table belowshows the achievement of each student in each category, as well as the class average. Table 3: Individual student performance and class average in the five assessment categoriesStudent HW Q M F P Total %1 99 93 81 98 95 466 93.22 99 94 85 90 100 468 93.63 69 90 60 77 100 396
at all joints can be determined. Thesystem equation of motion is directly obtained by the application of Lagrange’s Equation d T T V − + = Q using the generalized coordinate θ, where V is the system potential dt energy, i.e., V = 12 m 2 g r sin , T is the system kinetic energy, i.e., d 2 1 d 2 1 T = 12 + 2 I2 + 2 m 2 v2 + ( 12 m3 v3 ) , and Qθ is the generalized torque due to 2 2 I1 dt dt torques that do work, i.e., Q
Lo,sys Mo, j m r i o V i m e ro V e external in out V2 V2 Energy d Esys Q net,in Wnet,in m i h 2 gz m
.) A1 (m2) D2 (in.) A2 (m2) (in.) s2) Q (ml) t (s) (m3/s) CD (ave.) SD 1 A 1 1.029 0.00054 0.078125 3.0927E‐06 13.75 3426 500 55.1 9.07E‐06 1.12 2 1.029 0.00054 0.078125 3.0927E‐06 13.75 3426 500 54.5 9.17E‐06 1.13 3 1.029 0.00054 0.078125 3.0927E‐06 13.75 3426 500 54.4 9.19E‐06 1.14 1.13 0.0078 B 1 1.029 0.00054 0.09375 4.4535E‐06 13.75 3426 500 37.1 1.35E‐05 1.16 2 1.029 0.00054 0.09375 4.4535E‐06 13.75 3426 500 36.1 1.39E‐05 1.19 3 1.029 0.00054 0.09375 4.4535E‐06 13.75 3426 500
transition: An exploration of emerging adulthood, Journal of Counseling & Development, vol. 88, no. 2, pp. 174-181, 2010.[3] T. D. Ngo, A. Kashani, G. Imbalzano, K. T. Nguyen, and D. Hui, Additive manufacturing (3D printing): A review of materials, methods, applications and challenges, Composites Part B: Engineering, 2018.[4] Q. Gao et al., Fabrication of electrospun nanofibrous scaffolds with 3D controllable geometric shapes, Materials & Design, vol. 157, pp. 159-169, 2018.[5] Z. X. Khoo et al., 3D printing of smart materials: A review on recent progresses in 4D printing, Virtual and Physical Prototyping, vol. 10, no. 3, pp. 103-122, 2015.[6] M. Abshirini, M. Charara, Y. Liu, M. Saha, and M. C
collection, and data analysis. Page 12.342.5 q A competence in the use of computational tools. r Knowledge of chemistry. s Knowledge of calculus-based physics. Table 2. ME Program Educational Objective and Expected Educational Outcomes.ME To provide students with the necessary preparation in mechanicalEducational engineering to compete effectively for professional careers in this fieldObjective and with the motivation for personal and professional growth through lifelong learning.Expected The student will demonstrate the necessary competencies inEducational fundamental
and can easily become boring.The method presented in this paper offers a game-based approach to enhance students’ learning.Students are divided into teams, competing with each other regularly based on an organizedmatch-up schedule. At each match-up, points are awarded based on the performance on solvingan assigned problem and explaining that to the rest of the students. A “Q and A” session followseach presentation for additional points. Certain measures are discussed to improve the process ofassigning members for teams and contribution of every member to the overall results.The rules are thoroughly explained and the motivations behind them are discussed. In addition,the faced challenges during the implementation are discussed and the adopted
lowest ratings were 2.20 and 2.30, for “Analysis” and Questions andAnswers”, respectively. Some of the analysis problems were related to how the input loads andrestraints were determined, rather than the use of the software itself. During the Q/A session,some groups had difficulty justifying the reasons for some of their decisions related to theiranalysis. It should also be noted that the high standard deviation for “Goals/Criteria” was due tothe lack of clarity in the purpose of the analysis (i.e. with respect to their optimization) by two ofthe groups. In summary, effectively using the material presented in this course is a challenge forour students, but while they clearly struggled on some issues, the projects provided a valuableexperience to
friction factor (f) is given below13: 2 ( PD) D 5 f (1) 2 Page 15.1288.9 8 L Q In the above equation, the values for volumetric flow rate (Q ) and the pressure drop (PD) areobtained by performing the virtual experiment. The rest of the terms in the expression for (f) areconstants whose values can be obtained from the step-by-step procedure
functionality of the differentfourbar classes and inversions. In addition, the design project required the use of fourbars, whichthe students designed and modeled in SolidWorks®. The students assembled critical functionprototypes of their fourbar designs as part of a lab exercise, and then manufactured fourbars on awaterjet cutter for their competition robots. Lastly, two of 28 Excel® problems were related tofourbars: one in which the students analyzed S + L ? P + Q to determine the Grashof condition,and one that applied Excel®’s Solver function to solve for the output angle if the input angle andlink lengths are known.In the old ME 1000, students saw fourbars in one lecture (including synthesis examples), wererequired to use fourbars in the design
explore laminar, transitional and fully turbulentconditions.To determine the volumetric flow rate through the pipe test section, water flowing out ofthe pipe was caught in a measuring cup, and the time required to fill 500 mL measuredwith a stopwatch. The pressure drop along the pipe was determined using the fourmanometers integrated with the pipe and positioned 3.0 inches apart. The uncertainty involumetric flow measurements that ranged between Q = +/- 1 ml/s at low flow rates (10ml/s) to Q = +/- 2 ml/s at high flow rates (30 ml/s). The uncertainty in the pressuremeasurements using the integrated manometers was +/- 2 mm H2O or +/- 20 Pa.The pipe flow/head loss experiment shown in Fig. 3 was characterized by measuring thepressure drop along the
for each class period.Questions posted to the Piazza discussion board were answered by the instructor, teachingassistants, and/or peers and ones that were common were addressed by the instructor at thebeginning of each class period. Questions submitted to the in-class drop box were also answeredby the instructor at the beginning of each class period. This Q&A was used to promoteconstructive learning. However, as students were not required to submit questions and/oranswers to the questions, this activity was only applicable to some of the students, those whosubmitted the questions and/or answers. In future offerings of this course, this activity could bemodified to requiring students to submit either question(s) that they have or a summary