A Matlab program for the determination of thermodynamic properties of steam

2017 ◽  
Vol 45 (3) ◽  
pp. 228-244
Author(s):  
Riley M Gourde ◽  
Ben Akih-Kumgeh
Keyword(s):  
Thermodynamic Properties ◽  
Engineering Students ◽  
Learning Experience ◽  
Rankine Cycle ◽  
Graphical Form ◽  
Engineering Systems ◽  
Introductory Course ◽  
Predicted Values ◽  
Insight Into

An introductory course in thermodynamics seeks to acquaint students with the laws of thermodynamics and to enable them to analyze energy transformations in various engineering systems. The latter requires knowledge of temperature and possibly pressure-dependent thermodynamic properties of the materials involved. These are often made available to students in tabular or graphical form. This work presents a computer program that allows for a more convenient determination of thermodynamic properties of steam at a given state. The MATLAB graphical user interface is based on correlations of the properties from a published source. The development process presents a learning opportunity for the student involved and the various equations and program structure are documented in a user manual that allows the user to gain further insight into the computer-generated thermodynamic data. The program is evaluated by comparing predicted values of thermodynamic properties with the corresponding values from thermodynamic tables and it is found that the quantities are generally well predicted to within an average difference of less than a percent. It is further demonstrated how the program can be used to solve a textbook problem on the Rankine cycle. This program has the potential to enrich the learning experience in thermodynamic classes for chemical and mechanical engineering students.

scholarly journals SHORT DESIGN PROJECTS FOR AN INTRODUCTORY THERMOFLUIDS ENGINEERING COURSE

2015 ◽  
Author(s):  
Michele Hastie ◽  
Jan Haelssig
Keyword(s):  
Engineering Students ◽  
Learning Experience ◽  
Theoretical Work ◽  
Lessons Learned ◽  
Team Work ◽  
Engineering Programs ◽  
Design Project ◽  
Introductory Course ◽  
Design Projects ◽  
Second Year

The Faculty of Engineering at Dalhousie University offers a common introductory course that covers the basic principles of thermodynamics and fluid mechanics in a unified manner. This introductory course is a mandatory part of the curriculum for all engineering programs offered at Dalhousie. In this course, students are required to perform six laboratory experiments, and since 2012 students have also completed short, four-week design projects.The short design project helps students to acquire more of the graduate attributes defined by the Canadian Engineering Accreditation Board (CEAB), including design, communication, and team work skills. They also provide students with a well-deserved break from purely theoretical work in lectures and tutorials, and a chance to develop some hands-on abilities.This paper describes the lessons learned from the last three design projects, which were focused on modifications to a Ranque-Hilsch vortex tube, design of a pop-pop boat, and design of a double pipe heat exchanger. The primary challenges have been the limited engineering design experience possessed by students in their third semester of studies, the heavy workload that second-year engineering students already have, and the relatively large class size. Even though there are clear challenges related to integrating a design project into a large second-year class, the results seem to indicate that these design projects provide a positive learning experience for the students.

scholarly journals Impacting the Community through a Sophomore Design Experience

2014 ◽  
pp. 439-459
Author(s):  
Robert L Nagel ◽  
Kyle G Gipson ◽  
Jacquelyn K Nagel ◽  
Thomas Moran
Keyword(s):  
Service Learning ◽  
Engineering Students ◽  
Learning Experience ◽  
Lessons Learned ◽  
James Madison ◽  
Engineering Programs ◽  
The Past ◽  
Human Powered ◽  
Insight Into ◽  
Design Experience

Cornerstone design at James Madison University is a two-semester, client-based service learning project. Each year, sophomore engineering students work to design human-powered vehicles for a community member with needs very different from their own as a result of cerebral palsy. This paper provides a reflection of the fifth iteration (2013-2014) of this year-long sophomore design experience with the overarching goal to provide a transferable model such that other engineering programs may learn from our lessons and develop their own service learning experience. The reflection contained in this paper was catalyzed through participation in the National Science Foundation-funded Integrating Design and Community Engagement within the Curriculum Workshop hosted at Purdue University from June 19-20, 2014. In addition to reflection on the course, the paper provides insight into course coordination and assessment, and lessons learned over the past five years.

Models of Thermodynamic Properties of Prominences

1979 ◽  
Vol 44 ◽  
pp. 349-355
Author(s):  
R.W. Milkey
Keyword(s):  
Thermodynamic Properties ◽  
Mass Transport ◽  
Emission Spectrum ◽  
Thermodynamic Parameters ◽  
Working Group ◽  
Physical Processes ◽  
Theoretical Concepts ◽  
Group 3 ◽  
Observational Techniques

The focus of discussion in Working Group 3 was on the Thermodynamic Properties as determined spectroscopically, including the observational techniques and the theoretical modeling of physical processes responsible for the emission spectrum. Recent advances in observational techniques and theoretical concepts make this discussion particularly timely. It is wise to remember that the determination of thermodynamic parameters is not an end in itself and that these are interesting chiefly for what they can tell us about the energetics and mass transport in prominences.

Relationship between satisfaction with learning outcomes and mental health among medical and engineering students

2020 ◽  
pp. 70-78
Author(s):  
O. Bukhanovskaya ◽  
N. Demcheva
Keyword(s):  
Mental Health ◽  
Academic Performance ◽  
Mental Disorders ◽  
University Students ◽  
Learning Outcomes ◽  
Engineering Students ◽  
Clinical Forms ◽  
Complete Survey ◽  
Medical University

Method of calculating the index of crisis of gratification has been developed on the basis of the complete survey of 995 students of medical university and 804 students of engineering university, determination of clinical and social parameters and factors related to the process of education in the specialized university. It included: a scale for the assessment of the degree of intellectual intensity, academic performance, stress situations related to the peculiarities of education. Reliable differences in values between groups of healthy students, students with preclinical and clinical forms of mental disorders are revealed as a result of calculation of the index of gratification. The authors conclude that satisfaction with the results of education has a significant impact on the mental health of university students.

An insight into the determination of size and number concentration of silver nanoparticles in blood using single particle ICP-MS (spICP-MS): Feasibility of application to samples relevant to in vivo toxicology studies

2021 ◽  
Author(s):  
Isabel Abad-Álvaro ◽  
Diego Leite ◽  
Dorota Bartczak ◽  
Susana Cuello ◽  
Beatriz Gomez-Gomez ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Single Particle ◽  
Number Concentration ◽  
Biological Matrices ◽  
Icp Ms ◽  
Toxicological Studies ◽  
Insight Into

Toxicological studies concerning nanomaterials in complex biological matrices usually require a carefully designed workflow that involves handling, transportation and preparation of a large number of samples without affecting the nanoparticle...

scholarly journals Children's palliative care: examination of a nursing rotation programme

2021 ◽  
Vol 27 (1) ◽  
pp. 20-29
Author(s):  
Lisa Whiting ◽  
Mark Whiting ◽  
Julia Petty ◽  
Michele O'Grady
Keyword(s):  
Palliative Care ◽  
Learning Experience ◽  
Knowledge Exchange ◽  
Comfort Zone ◽  
New Knowledge ◽  
Support Mechanisms ◽  
Hospital Wards ◽  
Competency Assessments ◽  
Insight Into ◽  
Future Plans

Background: An 8-month rotation programme was implemented for five nurses employed in two kinds of children's palliative care environments: hospital wards and hospices. This study reports the views of the nurses completing the rotation. The research drew on appreciative inquiry and involved a pre- and post-rotation interview and questionnaire. Thematic analysis of the interviews revealed seven themes: adjusting to the rotation programme; support mechanisms; being safe; new knowledge and skills; knowledge exchange; misconceptions; future plans. These were supported by the questionnaire findings. Although the nurses identified some frustration at having to undertake competency assessments relating to previously acquired skills, as well as being out of their ‘comfort zone’, all the participants highly recommended the programme. They commented very positively on the support they received and the overall learning experience as well as the new insight into different aspects of care. In addition, they were able to share their newfound knowledge and expertise with others.

scholarly journals Insight into Glutamatergic Involvement in Rewarding Effects of Mephedrone in Rats: In Vivo and Ex Vivo Study

2021 ◽  
Author(s):  
Olga Wronikowska ◽  
Maria Zykubek ◽  
Agnieszka Michalak ◽  
Anna Pankowska ◽  
Paulina Kozioł ◽  
...  
Keyword(s):  
Ex Vivo ◽  
Interdisciplinary Approach ◽  
Nmda Antagonist ◽  
Exchange Chromatography ◽  
Resonance Spectroscopy ◽  
Monoamine Transporters ◽  
Ex Vivo Study ◽  
Insight Into

AbstractMephedrone is a widely used drug of abuse, exerting its effects by interacting with monoamine transporters. Although this mechanism has been widely studied heretofore, little is known about the involvement of glutamatergic transmission in mephedrone effects. In this study, we comprehensively evaluated glutamatergic involvement in rewarding effects of mephedrone using an interdisciplinary approach including (1) behavioural study on effects of memantine (non-selective NMDA antagonist) on expression of mephedrone-induced conditioned place preference (CPP) in rats; (2) evaluation of glutamate concentrations in the hippocampus of rats following 6 days of mephedrone administration, using in vivo magnetic resonance spectroscopy (MRS); and (3) determination of glutamate levels in the hippocampus of rats treated with mephedrone and subjected to MRS, using ion-exchange chromatography. In the presented research, we confirmed priorly reported mephedrone-induced rewarding effects in the CPP paradigm and showed that memantine (5 mg/kg) was able to reverse the expression of this effect. MRS study showed that subchronic mephedrone administration increased glutamate level in the hippocampus when measured in vivo 24 h (5 mg/kg, 10 mg/kg and 20 mg/kg) and 2 weeks (5 mg/kg and 20 mg/kg) after last injection. Ex vivo chromatographic analysis did not show significant changes in hippocampal glutamate concentrations; however, it showed similar results as obtained in the MRS study proving its validity. Taken together, the presented study provides new insight into glutamatergic involvement in rewarding properties of mephedrone.

scholarly journals Prediction of Dead Oil Viscosity: Machine Learning vs. Classical Correlations

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 930
Author(s):  
Fahimeh Hadavimoghaddam ◽  
Mehdi Ostadhassan ◽  
Ehsan Heidaryan ◽  
Mohammad Ali Sadri ◽  
Inna Chapanova ◽  
...  
Keyword(s):  
Machine Learning ◽  
Viscosity Data ◽  
Oil Viscosity ◽  
Pvt Data ◽  
Proposed Model ◽  
Wide Range ◽  
Engineering Problems ◽  
Functional Forms ◽  
Insight Into

Dead oil viscosity is a critical parameter to solve numerous reservoir engineering problems and one of the most unreliable properties to predict with classical black oil correlations. Determination of dead oil viscosity by experiments is expensive and time-consuming, which means developing an accurate and quick prediction model is required. This paper implements six machine learning models: random forest (RF), lightgbm, XGBoost, multilayer perceptron (MLP) neural network, stochastic real-valued (SRV) and SuperLearner to predict dead oil viscosity. More than 2000 pressure–volume–temperature (PVT) data were used for developing and testing these models. A huge range of viscosity data were used, from light intermediate to heavy oil. In this study, we give insight into the performance of different functional forms that have been used in the literature to formulate dead oil viscosity. The results show that the functional form f(γAPI,T), has the best performance, and additional correlating parameters might be unnecessary. Furthermore, SuperLearner outperformed other machine learning (ML) algorithms as well as common correlations that are based on the metric analysis. The SuperLearner model can potentially replace the empirical models for viscosity predictions on a wide range of viscosities (any oil type). Ultimately, the proposed model is capable of simulating the true physical trend of the dead oil viscosity with variations of oil API gravity, temperature and shear rate.

Systematic Approach to Measuring ILI Tool Performance

2014 ◽  
Author(s):  
Sean Keane ◽  
Karmun Cheng ◽  
Kaitlyn Korol
Keyword(s):  
Performance Measurement ◽  
Performance Measures ◽  
New Technologies ◽  
Efficient Reduction ◽  
Tool Performance ◽  
Typical Performance ◽  
Substantial Investment ◽  
Integrity Management ◽  
Insight Into

In-line inspection (ILI) tools play an important role within integrity management and substantial investment is made to continuously advance performance of the existing technologies and, where necessary, to develop new technologies. Performance measurement is typically focused for the purpose of understanding the measured performance in relation to the ILI vendor specification and for the determination of residual uncertainty regarding pipeline integrity. These performance measures may not provide the necessary insight into what type of investment into a technology is necessary to further reduce residual uncertainty regarding pipeline integrity, and beyond that, what investment, as an operator, results in an effective and efficient reduction in uncertainty. The paper proposes a reliability based approach for investigating uncertainty associated with ultrasonic crack ILI technology for the purpose of identifying efficient investment into the technology that results in an effective and measurable improvement. Typical performance measures and novel performance measurement methods are presented and reviewed with respect to what information they can provide to assist in investment decisions. Finally, general observations are made regarding Enbridge’s experience using ultrasonic crack ILI technology and areas currently being investigated.

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