Optimizing the Curriculum in Thermodynamics and Heat Transfer With Better Labs, In-Class Demonstrations and Interesting Realistic Problems to Enhance Learning

Author(s):  
K. Larsen ◽  
A. Hossain ◽  
M. Weiser

The primary objective of a thermodynamic/heat transfer course is to provide the fundamental knowledge necessary to understand the behavior of thermal systems. A thermodynamic/heat transfer course provides a detailed calculus-based analysis of energy, entropy, exergy, conduction, convection, and radiation using these concepts to calculate the behavior and efficiencies of different processes and cycles. Proper conceptual and theoretical understanding of thermodynamics/heat transfer is very important to solve real life problems. In order to understand and properly use the concepts, it is necessary that there be effective labs and in-class demonstrations, as well as realistic problems to serve this purpose. Most thermodynamic/heat transfer courses have some labs and some courses use in-class demonstrations that attempt to apply what is being learned in the class room. How effective these labs and demonstrations are in helping the students understanding of the thermodynamic/heat transfer principles is questionable. To facilitate theoretical learning, instructors need to also solve a variety of interesting problems in thermodynamics/heat transfer, besides solving the conventional problems from the text book. Solving these realistic problems helps students to also enhance their conceptual understanding, and, motivate students to continue their learning. This paper describes an example of an interesting heat transfer problem that compares an analytical solution with that of an FEA solution to help engage the students in learning how to apply both approaches to a realistic problem. Furthermore, this paper discusses a series of labs that are currently used at Eastern Washington University (EWU) to help students apply what they are learning in a thermodynamic/heat transfer course. The labs at EWU are compared to a survey conducted at 25 universities to find other possible labs and in-class demonstrations. From this study, the best labs and in-class demonstrations will be discussed, explored, and implementation recommendations will be given.

2021 ◽  
Vol 7 (1) ◽  
pp. 1155-1184
Author(s):  
Muhammad Aslam ◽  
◽  
Muhammad Farman ◽  
Hijaz Ahmad ◽  
Tuan Nguyen Gia ◽  
...  

<abstract> <p>In this work, we construct the fractional order model for chemical kinetics issues utilizing novel fractal operators such as fractal fractional by using generalized Mittag-Leffler Kernel. To overcome the constraints of the traditional Riemann-Liouville and Caputo fractional derivatives, a novel notion of fractional differentiation with non-local and non-singular kernels was recently presented. Many scientific conclusions are presented in the study, and these results are supported by effective numerical results. These findings are critical for solving the nonlinear models in chemical kinetics. These concepts are very important to use for real life problems like brine tank cascade, recycled brine tank cascade, pond pollution, home heating and biomass transfer problem. Many scientific results are presented in the paper also prove these results by effective numerical results. These results are very important for solving the nonlinear model in chemistry kinetics which will be helpful to understand the chemical reactions and its actual behavior; also the observation can be developed for future kinematic chemical reactions with the help of these results.</p> </abstract>


Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1152
Author(s):  
Muhammad Riaz ◽  
Hafiz Muhammad Athar Farid ◽  
Muhammad Aslam ◽  
Dragan Pamucar ◽  
Darko Bozanić

Aggregation operators are fundamental concept for information fusion in real-life problems. Many researchers developed aggregation operators for multi-criteria decision-making (MCDM) under uncertainty. Unfortunately, the existing operators can be utilized under strict limitations and constraints. In this manuscript, we focused on new prioritized aggregation operators which remove the strict limitations of the existing operators. The addition of reference parameters associated with membership and non-membership grades in the linear Diophantine Fuzzy sets provide a robust modeling for MCDM problems. The primary objective of this manuscript is to introduce new aggregation operators for modeling uncertainty by using linear Diophantine Fuzzy information. For this objective we develop aggregation operators (AO) namely, "linear Diophantine Fuzzy prioritized weighted average" (LDFPWA) operator and "linear Diophantine Fuzzy prioritized weighted geometric" (LDFPWG) operator. Certain essential properties of new prioritized AOs are also proposed. A secondary objective is to discuss a practical application of third party reverse logistic provider (3PRLP) optimization problem. The efficiency, superiority, and rationality of the proposed approach is analyzed by a numerical example to discuss 3PRLP. The symmetry of optimal decision and ranking of feasible alternatives is followed by a comparative analysis.


2021 ◽  
Vol 7 (1) ◽  
pp. 1155-1184
Author(s):  
Muhammad Aslam ◽  
◽  
Muhammad Farman ◽  
Hijaz Ahmad ◽  
Tuan Nguyen Gia ◽  
...  

<abstract> <p>In this work, we construct the fractional order model for chemical kinetics issues utilizing novel fractal operators such as fractal fractional by using generalized Mittag-Leffler Kernel. To overcome the constraints of the traditional Riemann-Liouville and Caputo fractional derivatives, a novel notion of fractional differentiation with non-local and non-singular kernels was recently presented. Many scientific conclusions are presented in the study, and these results are supported by effective numerical results. These findings are critical for solving the nonlinear models in chemical kinetics. These concepts are very important to use for real life problems like brine tank cascade, recycled brine tank cascade, pond pollution, home heating and biomass transfer problem. Many scientific results are presented in the paper also prove these results by effective numerical results. These results are very important for solving the nonlinear model in chemistry kinetics which will be helpful to understand the chemical reactions and its actual behavior; also the observation can be developed for future kinematic chemical reactions with the help of these results.</p> </abstract>


1970 ◽  
Author(s):  
Matisyohu Weisenberg ◽  
Carl Eisdorfer ◽  
C. Richard Fletcher ◽  
Murray Wexler

Sign in / Sign up

Export Citation Format

Share Document