Investigation of Horizontal Micro Kaplan Hydro Turbine Performance Using Multi-Disciplinary Design Optimization

2020 ◽  
Vol 142 (5) ◽  
Author(s):  
Ahmad I. Abbas ◽  
Mohammad D. Qandil ◽  
Muhannad Al-Haddad ◽  
Ryoichi S. Amano
Keyword(s):  
Design Optimization ◽  
High Performance ◽  
Geometrical Parameters ◽  
Design Development ◽  
Design Problems ◽  
Hydro Turbine ◽  
University Of Wisconsin ◽  
Kaplan Turbine ◽  
Water Head ◽  
The University

Abstract This study investigates performance-based design optimization for a Kaplan hydro turbine at a maximum water head of 2.6 m (8.5 ft), a micro-sized horizontal Kaplan turbine with 7.6 cm (3.0 in) diameter that has fixed blades featured to attain the optimum performance for such type and size of hydro turbines. The optimization process includes solving design problems and enhance design development by applying a multi-disciplinary design optimization (MDO) technique. Varying the geometrical parameters of the turbine, i.e., dimensions, number of blades, blade wrap angles, and different rotational speeds (500–3000 rpm), are the relevant proposed disciplines of this study. Two multi-simulation matrices were solved by using the high-performance computing (HPC) cluster of the University of Wisconsin-Milwaukee. The first matrix includes different number of the blades (3, 4, 5, 6, and 7 blades) over six different rotational speeds (500, 1000, 1500, 2000, 2500, and 3000 rpm), while the second matrix includes 121 possible combinations of blade wrap angles starting at 60–60 deg (hub-shroud) angle to 110–110 deg angle with 5 deg increment alternated at both sides, the hub and the shroud.

Multi-Disciplinary Design Optimization of a Horizontal Micro Kaplan Hydro Turbine

2019 ◽  
Author(s):  
Ryoichi S. Amano ◽  
Ahmad I. Abbas ◽  
Mohammad D. Qandil ◽  
Muhannad R. Al-Haddad
Keyword(s):  
Design Optimization ◽  
High Performance ◽  
Water System ◽  
Swirl Flow ◽  
Geometrical Parameters ◽  
Design Development ◽  
Hydro Turbine ◽  
University Of Wisconsin ◽  
Water Head ◽  
The University

Abstract This study investigates a performance-based design optimization for a Kaplan hydro turbine at a maximum water head of 2.6 m (8.5 ft), micro-sized horizontal Kaplan turbine with 7.6 cm (3.0 in) diameter that is featured fixed blades to attain the optimum performance for such type and size of hydro turbines. Optimization process includes solving design problems and enhance design development by applying a multi-disciplinary design optimization (MDO) technique. Varying the geometrical parameters of the turbine, i.e., dimensions, number of blades, blade wrap angles, and different rotational speeds (500–3000 RPM) are the relevant proposed disciplines of this study. An in-house code is used for optimizing the geometrical parameters of the turbine. A numerical solution that utilizes computational fluid dynamics (CFD) for a 3D, turbulent, transient unsteady and swirl flow is developed using STAR-CCM+ software in conjunction with an experimental setup of a lab-sized closed-loop water system for validation. The performance of the turbine is predicted by evaluating the power output (in watts), mesh independency analysis is also presented for CFD results validation. Two multi-simulation matrices were solved by using the high-performance computing (HPC) cluster of the University of Wisconsin-Milwaukee. First matrix includes different number of the blades (3, 4, 5, 6, and 7 blades) over six different rotational speeds (500, 1000, 1500, 2000, 2500, and 3000), while the second matrix includes 121 possible combinations of blade wrap angles starting at 60°-60° (hub-shroud) angle to 110°-110° angle with 5° increment alternated at both sides, the hub and the shroud.

scholarly journals Predicting Breast Cancer Classification Using Various Machine Learning Classification Algorithm

2020 ◽  
Vol 6 (12) ◽  
pp. 282-285
Author(s):  
Nishant Bansal Nidhi Sengar and Amita Goe
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Cancer Diagnosis ◽  
High Performance ◽  
Breast Cancer Diagnosis ◽  
Second Primary ◽  
Machine Learning Classification ◽  
University Of Wisconsin ◽  
Sensitivity Specificity ◽  
The University

Cancer diagnosis is one among the foremost studied problems within the medical domain. Several researchers have focused so as to enhance performance and achieve to get satisfactory results. Breast cancer[1] represents the second primary explanation for cancer deaths in women today and has become the foremost common cancer among women both within the developed and therefore the developing world in the last years. Breast cancer diagnosis is used to categorize the patients among benign (lacks ability to invade neighbouring tissue) from malignant (ability to invade neighbouring tissue) categories. In this study, the diagnosis of breast cancer from mammograms is complemented by using various classification techniques. In artificial intelligence, machine learning is a discipline which allows to the machine to evolve through a process. Machine learning[2] is widely utilized in bio-informatics and particularly in carcinoma diagnosis. This paper explores the various data processing approaches using Classification which may be applied on carcinoma data to create deep predictions. Besides this, this study predicts the simplest Model yielding high performance by evaluating dataset on various classifiers.[4-8] The results that are obtained through the research are assessed on various parameters like Accuracy, RMSE Error, Sensitivity, Specificity etc. Our work is going to be performed on the WBCD database (Wisconsin carcinoma Database) [12]obtained by the university of Wisconsin Hospital.

Projects: Research Activity on Design, Development, and Assessment in Mathematics Education

1991 ◽  
Vol 84 (9) ◽  
pp. 774
Keyword(s):  
High School ◽  
Mathematics Education ◽  
The Netherlands ◽  
Research Group ◽  
Design Development ◽  
Research Activity ◽  
Evaluation Standards ◽  
University Of Wisconsin ◽  
Mathematical Sciences ◽  
The University

This research-activity project was funded jointly by the National Center for Research in Mathematical Sciences Education (NCRMSE) at the University of Wisconsin- Madison and the Research Group on Mathematics Education at the University of Utrecht, The Netherlands. The project focused on an approach to classroom instruction in relation to the NCTM's curriculum and evaluation standards. Two sets of materials for students and teachers- Data Visualization and Matrices- were developed in The Netherlands and were used by all students in all algebra classes at Whitnall High School in Greenfield, Wisconsin. Observations and interviews were conducted by an observer from the center at Utrecht.

Structural design, optimization and detailing of the BUGA fibre pavilion

2020 ◽  
Vol 35 (4) ◽  
pp. 147-159
Author(s):  
Marta Gil Pérez ◽  
Bas Rongen ◽  
Valentin Koslowski ◽  
Jan Knippers
Keyword(s):  
Design Optimization ◽  
Structural Design ◽  
Composite Structures ◽  
High Performance ◽  
Filament Winding ◽  
Robotic Fabrication ◽  
Structural Design Optimization ◽  
Research Goal ◽  
Ethylene Tetrafluoroethylene ◽  
The University

The BUGA fibre pavilion built in April 2019 at the Bundesgartenschau in Heilbronn, Germany, is the most recent coreless fibre winding research pavilion developed from the collaboration between ICD/ITKE at the University of Stuttgart. The research goal is to create lightweight and high-performance lattice composite structures through robotic fabrication. The pavilion is composed of 60 carbon and glass fibre components, and is covered by a prestressed ethylene tetrafluoroethylene (ETFE) membrane. Each of the components is hollow in section and bone-like in shape. They are joined through steel connectors at the intersecting nodes where the membrane is also supported through steel poles. The components are fabricated by coreless filament winding (CFW), a technique where fibre filaments impregnated with resin are wound freely between two rotating scaffolds by a robotic arm. This novel structural system constitutes a challenge for the designer when proving and documenting the load-carrying capacity of the design. This paper outlines and elaborates on the core methods and workflows followed for the structural design, optimization and detailing of the BUGA fibre pavilion.

Addressing Map Interface Usability: Learning from the Lakeshore Nature Preserve Interactive Map

2008 ◽  
pp. 46-66 ◽  
Author(s):  
Robert E. Roth ◽  
Mark Harrower
Keyword(s):  
Web Design ◽  
Design Guidelines ◽  
Design Development ◽  
Digital Maps ◽  
Interactive Maps ◽  
Nature Preserve ◽  
University Of Wisconsin ◽  
Interactive Map ◽  
The University ◽  
Interface Usability

These are exciting days for cartography, as emerging technologies have greatly expanded the possibilities of online, interactive maps. These developments, however, now require cartographers to think about issues that only a few years ago fell solely in the domains of human-computer interaction (HCI) and web design. Further, given how fast these changes have occurred, there are few tried-and-true guidelines for building digital maps. This paper reports on the design, development, and evaluation of the University of Wisconsin-Madison Lakeshore Nature Preserve Interactive Map (www.lakeshorepreserve.wisc.edu) and outlines many of the insights gleaned from this process. The purpose of this article is to strengthen the important bridge between cartography and usability evaluation (i.e., how we study the way in which users interact with their maps and how we measure the success of those interactions) so that the efforts of a team of developers and stakeholders can be coordinated in a way that ensures the map works equally well for all potential end users. We outline the relative merits of two broad categories of evaluation techniques, arguing that there is no single, correct evaluation technique appropriate for all evaluation scenarios, and then detail the specific strategy adopted for evaluation of the Lakeshore Nature Preserve Interactive Map. We conclude by offering four design guidelines for online, interactive maps revealed during the evaluation of the Lakeshore Nature Preserve Interactive Map: two positive strategies we recommend for consideration when designing map interfaces (inclusion of cascading interface complexity and provision of map browsing flexibility) and two pitfalls we caution to avoid (minimalist design of interface widgets and employment of a lorem ipsum map during development).

Some Biological Applications of High Voltage Electron Microscopy

1974 ◽  
Vol 32 ◽  
pp. 298-299
Author(s):  
Hans Ris
Keyword(s):  
High Voltage ◽  
Chromosome Structure ◽  
Nerve Fibers ◽  
Good Resolution ◽  
High Voltage Electron Microscopy ◽  
Voltage Electron ◽  
University Of Wisconsin ◽  
High Voltage Electron ◽  
One Year ◽  
The University

The High Voltage Electron Microscope Laboratory at the University of Wisconsin has been in operation a little over one year. I would like to give a progress report about our experience with this new technique. The achievement of good resolution with thick specimens has been mainly exploited so far. A cold stage which will allow us to look at frozen specimens and a hydration stage are now being installed in our microscope. This will soon make it possible to study undehydrated specimens, a particularly exciting application of the high voltage microscope.Some of the problems studied at the Madison facility are: Structure of kinetoplast and flagella in trypanosomes (J. Paulin, U. of Georgia); growth cones of nerve fibers (R. Hannah, U. of Georgia Medical School); spiny dendrites in cerebellum of mouse (Scott and Guillery, Anatomy, U. of Wis.); spindle of baker's yeast (Joan Peterson, Madison) spindle of Haemanthus (A. Bajer, U. of Oregon, Eugene) chromosome structure (Hans Ris, U. of Wisconsin, Madison). Dr. Paulin and Dr. Hanna are reporting their work separately at this meeting and I shall therefore not discuss it here.

Advances in imaging SIMS studies of stained and BrdU-labelled human metaphase chromosomes

1995 ◽  
Vol 53 ◽  
pp. 932-933
Author(s):  
R. Levi-Setti ◽  
J. M. Chabala ◽  
R. Espinosa ◽  
M. M. Le Beau
Keyword(s):  
High Performance ◽  
Secondary Ion Mass Spectrometry ◽  
Analytical Sensitivity ◽  
Metaphase Chromosomes ◽  
Banding Patterns ◽  
Sector Mass Spectrometer ◽  
Staining Methods ◽  
The University ◽  
Secondary Ion ◽  
Better Than

We have shown previously that isotope-labelled nucleotides in human metaphase chromosomes can be detected and mapped by imaging secondary ion mass spectrometry (SIMS), using the University of Chicago high resolution scanning ion microprobe (UC SIM). These early studies, conducted with BrdU- and 14C-thymidine-labelled chromosomes via detection of the Br and 28CN- (14C14N-> labelcarrying signals, provided some evidence for the condensation of the label into banding patterns along the chromatids (SIMS bands) reminiscent of the well known Q- and G-bands obtained by conventional staining methods for optical microscopy. The potential of this technique has been greatly enhanced by the recent upgrade of the UC SIM, now coupled to a high performance magnetic sector mass spectrometer in lieu of the previous RF quadrupole mass filter. The high transmission of the new spectrometer improves the SIMS analytical sensitivity of the microprobe better than a hundredfold, overcoming most of the previous imaging limitations resulting from low count statistics.

Ultrastructural characteristics of sporidia of Ustilago

1989 ◽  
Vol 47 ◽  
pp. 786-787
Author(s):  
Patricia N. Hackney
Keyword(s):  
Electron Microscope ◽  
Type System ◽  
Tube Formation ◽  
High Voltage Electron Microscopy ◽  
Voltage Electron ◽  
University Of Wisconsin ◽  
Transmission Electron ◽  
Ustilago Hordei ◽  
Silene Alba ◽  
The University

Ustilago hordei and Ustilago violacea are yeast-like basidiomycete pathogens ofHordeum vulgare and Silene alba respectively. The mating type system in both species of Ustilago is bipolar, with alleles, A,a, (U.hordei) and a1, a2 (U.violacea) at a single locus. Haploid sporidia maintain the asexual phase by budding, while the sexual phase is initiated by conjugation tube formation between the mating types during budding and conjugation.For observation of budding, sporidia were prepared by culturing the four types on YEG (yeast extract glucose) broth for 24 hours. After centrifugation at 5000g cells were either left unmated or mated in a1/a2,A/a combinations. The sporidia were then mixed 1:1 with 4% agar and the resulting 1mm cubes fixed in 8% gluteraldehyde and post fixed in osmium tetroxide. After dehydration and embedding cubes were thin sectioned with a LKB ultratome and photographed in a Zeiss 9s transmission electron microscope or in an AE1 electron microscope of MK11 1MEV at the High Voltage Electron Microscopy Center of the University of Wisconsin-Madison.

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