An Algorithmic Approach to Teaching Functionality

Author(s):  
Robert L. Nagel ◽  
Matt R. Bohm ◽  
Josh Cole ◽  
Phillip Shepard

The consideration of function is prevalent across numerous domains as a technique allowing complex problems to be abstracted into a form more readily solvable. In engineering design, functional models tend to be of a more generalized nature, and consequently, engineering design derived functional representations do not aim to replace domain specific models but to encapsulate those models at a higher and more integrated system level. While the value of function in engineering design seems to be generally recognized, it remains a difficult concept to teach to students of engineering design. In this paper, an algorithmic approach to teaching function and functional model generation is presented. The approach uses a series of grammar rules to assemble function chains from a list of enumerated functions desired of the final product. Function chains can then be aggregated into a complete functional model. The approach has been trialed with senior capstone design students taught about functionality as well as how to generate a black box model and how to enumerate functions. Student-generated functional models are compared to expert generated functional models in the paper. Preliminary results indicate that a student with limited functional modeling experience could follow the prescribed algorithm to generate an aggregated functional model based solely on a black box model.

Author(s):  
Robert L. Nagel ◽  
Matt R. Bohm ◽  
Julie S. Linsey

The consideration of function is prevalent across numerous domains as a technique allowing complex problems to be abstracted into a form more readily solvable. In engineering design, functional models tend to be of a more generalized nature describing what a system should do based on customer needs, target specifications, objectives, and constraints. While the value of function in engineering design seems to be generally recognized, it remains a difficult concept to teach to engineering design students. In this paper, a study on the effectiveness of an algorithmic approach for teaching function and functional model generation is presented. This paper is a follow-up on to the 2012 ASME IDETC paper, An Algorithmic Approach to Teaching Functionality. This algorithmic approach uses a series of grammar rules to assemble function chains which then can be aggregated into a complete functional model. In this paper, the results of a study using the algorithmic approach at Texas A&M in a graduate level design course are presented. The analysis of the results is discussed, and the preliminary evidence shows promise toward supporting our hypothesis that the algorithmic approach has a positive impact on student learning.


2015 ◽  
Vol 137 (5) ◽  
Author(s):  
Robert L. Nagel ◽  
Matt R. Bohm ◽  
Julie S. Linsey ◽  
Marie K. Riggs

An engineering design curriculum that introduces functional modeling methods is believed to enhance the ability to abstract complex systems, assist during the concept generation phase of design, and reduce design fixation. To that end, a variety of techniques for considering function during design have been proposed in the literature, yet there are a lack of validated approaches for teaching students to generate functional models and no reliable method for the assessment of functional models. This paper presents a study investigating students' ability to generate functional models during a homework assignment; the study includes three different treatment conditions: (1) students who receive only a lecture on functional modeling, (2) students who receive a lecture on functional modeling as well as a step-by-step example, and (3) students who receive a lecture, a step-by-step example, and an algorithmic approach with grammar rules. The experiment was conducted in a cornerstone, undergraduate engineering design course, and consequently, was the students' first exposure to functional modeling. To assess student generated functional models across all three conditions, an 18 question functional model scoring rubric was developed based on flow-based functional modeling standards. Use of the rubric to assess the student generated functional models resulted in high inter-rater agreement for total score. Results show that students receiving the step-by-step example perform as well as students receiving the step-by-step example and an algorithmic approach with grammar rules; both groups perform better than the lecture-only group.


Author(s):  
Mark A. Kurfman ◽  
Robert B. Stone ◽  
Jagan R. Rajan ◽  
Kristin L. Wood

Abstract As more design methodologies are researched and developed, the question arises as to whether these new methodologies are actually advancing the field of engineering design or instead cluttering the field with more theories. There is a critical need to test new methodologies for their contribution to the field of design engineering. This paper presents the results of research attempts to substantiate repeatability claims of the functional model derivation method. Three experiments are constructed and carried out with a participant pool that possesses a range of engineering design skill levels. The experiments test the utility of the functional model derivation method to produce repeatable functional models for a given product among different designers. Results indicate the method is largely successful and identify its key strengths as well as opportunities for improvement.


Author(s):  
Thomas J. Hagedorn ◽  
Ian R. Grosse ◽  
Sundar Krishnamurty ◽  
Jack C. Wileden

Within the medical field, there has been significant progress in the development of ontologies and their subsequent use to represent and utilize knowledge more effectively. These have culminated in the creation of large, curated medical ontologies for use in a wide array of applications, as well as higher level frameworks to organize and mitigate conflicts between disparate ontologies. While the engineering field has not been a similar progress in developing and adopting curated ontologies, there has been extensive research into how to effectively use semantic frameworks in engineering knowledge management and design in general, and specifically for the effective creation and documentation of functional basis models. Functional models are a useful tool in the early phases of product design, as they can help more effectively define goals and represent how a product must behave to accomplish these goals. In the specific realm of medical device design however, this process is complicated by a number of factors, including the complexity of the healthcare system and clinical knowledge, as well as a lack of domain specific expertise in the engineering field. Because of these challenges, effective transfer of information from medical domain experts to an engineering context and subsequent utilization of this information are essential to the success of a medical device innovation project. Despite the magnitude and importance of this challenge, few tools exist to help designers record, contextualize, and utilize medical knowledge for the specific purpose of engineering design. In this paper, we present a framework for directly integrating clinical knowledge relating to medical science and practice into the early phases of the engineering process to assist in medical device innovation and design. To accomplish this, existing medical and engineering ontologies were researched, obtained, and interlinked so as to explicitly tie functional models of medical device designs to the underlying medical clinical knowledge and procedures that define a product’s operational environment. The result is a framework that unifies the knowledge embodied in large medical ontologies with the functional basis ontology. This integration facilitates the effective preservation and use of medical knowledge in functional model creation and in the engineering design innovation process in general. To demonstrate the potential usefulness of this framework, we present a simple example of how our framework can be used to associate a functional model with a deconstructed medical procedure, thus enabling the seamless integration of a medical perspective directly into an engineering model.


1988 ◽  
Vol 16 (2) ◽  
pp. 62-77 ◽  
Author(s):  
P. Bandel ◽  
C. Monguzzi

Abstract A “black box” model is described for simulating the dynamic forces transmitted to the vehicle hub by a tire running over an obstacle at high speeds. The tire is reduced to a damped one-degree-of-freedom oscillating system. The five parameters required can be obtained from a test at a given speed. The model input is composed of a series of empirical relationships between the obstacle dimensions and the displacement of the oscillating system. These relationships can be derived from a small number of static tests or by means of static models of the tire itself. The model can constitute the first part of a broader model for description of the tire and vehicle suspension system, as well as indicating the influence of tire parameters on dynamic behavior at low and medium frequencies (0–150 Hz).


Author(s):  
Qing Yang ◽  
Xia Zhu ◽  
Jong-Kae Fwu ◽  
Yun Ye ◽  
Ganmei You ◽  
...  
Keyword(s):  

2021 ◽  
Vol 11 (10) ◽  
pp. 4631
Author(s):  
Yu Chen ◽  
Xiaoqing Ji ◽  
Zhongyong Zhao

The accurate establishment of the equivalent circuit model of the synchronous machine windings’ broadband characteristics is the basis for the study of high-frequency machine problems, such as winding fault diagnosis and electromagnetic interference prediction. Therefore, this paper proposes a modeling method for synchronous machine winding based on broadband characteristics. Firstly, the single-phase high-frequency lumped parameter circuit model of synchronous machine winding is introduced, then the broadband characteristics of the port are analyzed by using the state space model, and then the equivalent circuit parameters are identified by using an optimization algorithm combined with the measured broadband impedance characteristics of port. Finally, experimental verification and comparison experiments are carried out on a 5-kW synchronous machine. The experimental results show that the proposed modeling method identifies the impedance curve of the circuit parameters with a high degree of agreement with the measured impedance curve, which indicates that the modeling method is feasible. In addition, the comparative experimental results show that, compared with the engineering exploratory calculation method, the proposed parameter identification method has stronger adaptability to the measured data and a certain robustness. Compared with the black box model, the parameters of the proposed model have a certain physical meaning, and the agreement with the actual impedance characteristic curve is higher than that of the black box model.


Author(s):  
D.S. Serebryanaya ◽  

This article analyzes the mathematical approach to the study of the motives of students to study in higher education. The possibility of using the “black box” model used in the production of building materials for sociological research is considered. This approach allows you to see the most significant causes of discrepancies and develop corrective measures for them.


2012 ◽  
Vol 30 (23) ◽  
pp. 3667-3671 ◽  
Author(s):  
Mi Li ◽  
Jing Ma ◽  
Xuping Zhang ◽  
Yuejiang Song ◽  
Wenhe Du

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