scholarly journals Integrated Professional Component Plan From Freshman Experience To Senior Project

2020 ◽  
Author(s):  
Kevin Schmaltz ◽  
Christopher Byrne ◽  
Joel Lenoir ◽  
Robert Choate
1955 ◽  
Vol 32 (7) ◽  
pp. 353 ◽  
Author(s):  
Conrad Batt ◽  
F. S. C. William ◽  
George N. Kowkabany

2020 ◽  
Author(s):  
Mohammed Mudassir ◽  
Mahmoud Mansour

Cellular materials such as metal foams are porous, lightweight structures that exhibit good energy absorption properties. They have been used for many years in various applications including energy absorption. Traditional cellular structures do not have consistent pore sizes and their behaviors and properties such as failure mechanisms and energy absorption are not always same even within the same batch. This is a major obstacle for their applications in critical areas where consistency is required. With the popularity of additive manufacturing, new interest has garnered around fabricating metal foams using this technology. It is necessary to study the possibility of designing cellular structures with additive manufacturing and their energy absorbing behavior before any sort of commercialization for critical applications is contemplated. The primary hypothesis of this senior project is to prove that energy absorbing cellular materials can be designed. Designing in this context is much like how a car can be designed to carry a certain number of passengers. To prove this hypothesis, the paper shows that the geometry is a key factor that affects energy absorption and that is possible to design the geometry in order to obtain certain behaviors and properties as desired. Much like designing a car, it requires technical expertise, ingenuity, experience and learning curve for designing cellular structures. It is simple to come with a design, but not so much when the design in constrained by stringent requirements for energy absorption and failure behaviors. The scope was limited to the study of metal foams such as the ones made from aluminum and titanium. The primary interest has been academic rather than finding ways to commercialize it. The study has been carried out using simulation and experimental verification has been suggested for future work. Nevertheless, the numerical or simulation results show that energy absorbing cellular structures can be designed that exhibit good energy absorption comparable to traditional metal foams but perhaps with better consistency and failure behaviors. The specific energy absorption was found to be 18 kJ/kg for aluminum metal foams and 23 kJ/kg for titanium metal foams. The average crushing force has been observed to be around 70 kN for aluminum and around 190 kN for titanium. These values are within the acceptable range for most traditional metal foams under similar conditions as simulated in this paper.


EDIS ◽  
2021 ◽  
Vol 2021 (4) ◽  
Author(s):  
Sarah Thomas Hensley ◽  
Geralyn Sachs ◽  
Laura Cash

This report form is to be completed by senior (age 14–18) 4-H members as a record of their 4-H project completion. Project Reports should be turned in annually at the end of the 4-H year to their county 4-H agent. This 10-page major revision was compiled by the Florida 4-H Awards and Recognition Task Force; Geralyn Sachs and Laura Cash, chairs.https://edis.ifas.ufl.edu/4h035


1996 ◽  
Vol 37 (5) ◽  
pp. 555-567 ◽  
Author(s):  
Liz Sanders ◽  
John D. Burton
Keyword(s):  

2019 ◽  
Vol 11 (17) ◽  
pp. 4642 ◽  
Author(s):  
Georgina Mota-Valtierra ◽  
Juvenal Rodríguez-Reséndiz ◽  
Gilberto Herrera-Ruiz

This article proposes the creation of a course based on a series of practical sessions, where the students have to develop their practical knowledge about artificial intelligence techniques, specifically multilayer perceptron. The novelty of this paper is based on the constructivism methodology regarding artificial intelligence and sustainable development. Moreover, it can be implemented in different majors because of the flexibility in certain aspects. It is oriented to evaluate skills in the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context. The proposal helps the students to turn theoretical concepts into more tangible objects where they can build their knowledge by programming their implementations in software. Then, programming codes for practicing the neural networks theory, finite impulse response, empirical mode decomposition and discrete wavelet transform are achieved to compare percentage classification between different techniques. Also, it measures the interaction between the student and the theoretical mathematics of artificial intelligence. The continuous evaluations at the end of the practical sessions corroborate the increase in the knowledge of the students. A study based on rubrics illustrates an increase in the average grade obtained by the students in the elaboration of each practice. Finally, a senior project is carried out by taking into account sustainable development issues and the usage of tools of artificial intelligence.


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