Engineering Design and Problem Solving

2022 ◽  
pp. 1-1
2015 ◽  
Vol 21 (7) ◽  
pp. 422-429 ◽  
Author(s):  
Lukas J. Hefty

Applying mathematics during engineering design challenges can help children develop critical thinking, problem solving, and communication skills.


2020 ◽  
Author(s):  
David Allen ◽  
Richard Crawford ◽  
Leema Berland ◽  
Karen High ◽  
Anthony Petrosino ◽  
...  

Author(s):  
Theodore Bardsz ◽  
Ibrahim Zeid

Abstract One of the most significant issues in applying case-based reasoning (CBR) to mechanical design is to integrate previously unrelated design plans towards the solution of a new design problem. The total design solution (the design plan structure) can be composed of both retrieved and dynamically generated design plans. The retrieved design plans must be mapped to fit the new design context, and the entire design plan structure must be evaluated. An architecture utilizing opportunistic problem solving in a blackboard environment is used to map and evaluate the design plan structure effectively and successfuly. The architecture has several assets when integrated into a CBR environment. First, the maximum amount of information related to the design is generated before any of the mapping problems are addressed. Second, mapping is preformed as just another action toward the evaluation of the design plan. Lastly, the architecture supports the inclusion of memory elements from the knowledge base in the design plan structure. The architecture is implemented using the GBB system. The architecture is part of a newly developed CBR System called DEJAVU. The paper describes DEJAVU and the architecture. An example is also included to illustrate the use of DEJAVU to solve engineering design problems.


Author(s):  
Zbigniew M. Bzymek

Abstract The world’s technology is developing very rapidly. To anticipate the course and results of such development is a task that is very crucial for the success of many technological undertakings and expansions. Engineering design is the branch of engineering that should predict the results of that rapid development. It should equip society with the tools for directing and controlling that development. It is a complex task that faces big challenges. The main challenge comes from society advancement and from the technology development itself. If the directing and controlling are done right the development would bring many benefits to humanity and would make human life easier and more comfortable. Doing it right however requires increased knowledge of the new features of technology and more skills in its application. In the difficult pandemic situation that knowledge and skills should be even greater because the outbreak of the disease creates additional traps and dangers. These conditions have to be taken under consideration and accepted as normal. The role of engineering design is to predict what harmful elements would be coming from both technological and social sources. The real goal however would be to exceed the expectations and not only neutralize them but change them from harmful into neutral, and then from neutral into friendly and helpful. Such actions follows recommendations of BTIPS (Brief Theory of Inventive Problem Solving) and is outlined in the BTIPS’s module “Prediction”. At the same time the developing civilization brings dangers for humans that were unknown before. These are bacterial and viruses’ attacks that limit personal relations between humans, requires new ways and new elements of communications, especially in internet contacts and in distant learning procedures. The contents of these components should be accurately predicted, well-orchestrated, well designed and precisely described. Recommendations for introducing BTIPS as a tool of engineering education in new situation should be carefully proposed and illustration examples, using new communication tools, should be developed. These should be applied in engineering theoretical courses and in practical applications during the senior design course of study and in industrial practice. This should be precise, clearly anticipating difficulties, pointing possible errors and ways of avoiding them. Teaching examples of problem solving and personal ways of communications between individual students, between groups of students, as well as between students and instructors should be further discussed. The examples of design ideas and problem solutions generated by students in design courses that were described in previous works of the author and his co-workers [1] should be related to pandemic situation. To define and formulate rules of teaching BTIPS in the pandemic situation is the necessity of our times. On every step of our lives we face the challenge of preventing harms and destruction that can be done by the contemporary surrounding world. The preventing actions can be designed by following rules of BTIPS and by apply approach recommended in its modules. The proposal of utilizing BTIPS application examples using the internet as a tool of expression is described in this paper. All of these are pointed out and some recommendations and examples are called. Adding description of corrections to the engineering curriculum is necessary in the new situation. It is an intention of the author to demonstrate a fragment of practical distant lecturing by internet during the IMECE 2020 internet sessions using the internet network and distant support from UConn computer Laboratory in Storrs, CT. Some example solutions of the idea generation are quoted in this paper. The comments coming from author’s teaching experience will be given during the presentation and practical advices for students and instructors will be passed to the audience. This paper is a companion to IMECE 2017-70438 [1]. Some original examples given in the paper 79418 are recommended for following and will be run by internet in pandemic situation of IMECE 2020.


1997 ◽  
Vol 3 (4) ◽  
pp. 247-270 ◽  
Author(s):  
Linden J. Ball ◽  
Jonathan St.B.T. Evans ◽  
Ian Dennis ◽  
Thomas C. Ormerod

Author(s):  
Tyler A. Johnson ◽  
Avery Cheeley ◽  
Benjamin W. Caldwell ◽  
Matthew G. Green

Shah’s metrics for measuring ideation effectiveness have been used extensively by the engineering design community to quantify the value of designed concepts. Shah measures novelty as the infrequency of an idea relative to a set of ideas. Vargas-Hernandez extended this novelty metric using partial genealogy trees to consider the frequency of ideas that share the same working principle. These genealogy trees capture differences between individual ideas organized by the following levels of abstraction: physical principle, working principle, and embodiment. Shah’s and Vargas-Hernandez’s metrics both require that all ideas be described at the lowest level (embodiment). This approach excludes ideas that are described at higher levels of abstraction. This paper proposes a new novelty metric that extends Vargas Hernandez’s metrics by including the higher levels of the genealogy trees, allowing abstract ideas to be properly evaluated. This paper compares the newly proposed novelty metric to Shah’s and Vargas Hernandez’s metrics using data from a previous study. The study required participants to perform problem-solving tasks in which they submitted a textual list of ideas for how to solve general day-to-day problems. The proposed novelty metric addresses limitations of the previous metrics when applied to the abstract ideas in the data set and meets established metric requirements. The proposed metric also broadens Shah’s metric in a similar manner as Vargas Hernandez but extends it to capture the entire genealogy tree rather than a subset of the tree.


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