1. Course premises:
In the real-world the amount of information that needs to be processed often overwhelms individual capabilities to process it. Case studies, and its computer manifestation, Case Based Reasoning, have evolved as a superior way to handle complex multivariable problems where the information and even the probabilities are not fully known a priori.
For engineering case studies, the goal is critically assessing real
world cases by linking actual outcomes to relevant design intentions and
decisions based on limited information. In this manner the student will
develop skills in critical thinking about materials technology and appreciate
the real world context in which engineering occurs and how that will constrain
design and even research choices.
Earlier offerings of this course met some of the constraints noted above. This term's course is significantly different from any that went before it and is structured to satisfy, to the extent possible, the constraints and premises listed above.
1. Course Orientation.
In the real world a product development process entails many activities. The figure 1 shown below indicates the axes upon which the body of the course is plotted. A detailed description of the various functions required in product or process development is given in attached Figure 2, taken from the US Navy Best Practices Program, itself a distillation of Best Practices of major corporations. A statistical review of determinants of new product success is shown in Figure 3 below. It is seen that, while product uniqueness and superiority (the determination of which may well require marketing and management inputs) is the highest single correlating factor, other factors in total are more significant.
Therefore, in order to serve our students and provide them a meaningful and accurate model of the real world context in which most of them will be working, the factors noted above need to be included in their case studies. In view of the constraints on the course and the premises (that the case study approach is the best way to handle problems that exceeds individual grasp and which aren't amenable to direct mathematical models), the course was substantially changed this semester. The ways this was done is described below.
In addition, the three axes are integrated in the context of modern web based instruction. The enclosed notes are copies of the web page notes provided for the course. The web page is at www.eng.utah.edu/~ma5090.
Thus the new features for this semester, comprising well over half the class, consist of the following:
A schematic representation of the approach used in this course is
given in Figures 4-6 below. Figure 4 shows
the link between design and materials and process selection. Since this
course is a design course, it is important to specifically relate the selection
of materials and processes to the design and manufacture of products. The
right hand part of figure 4 is further detailed in Figure
5below. The top part of the figure depicts the
inter-relatedness of design, processing and properties. The bottom part
the figure is a very important part of the course. It describes how problems
are set up . The problem statement sets the "solution space" , which tells
the engineer the type of problem being solved or model used. From this
, the design objectives are used to develop objective functions to be maximized
(or minimized).
Case studies are needed in precisely those problems that an engineer is most likely to encounter in the real world. Namely , those where there are many variables , incompletely known. In week 10 a simple optimization problem that can be solved mathematically will be presented. The constraints define the particular solutions possible to a given objective function. From the combination of objective and constraints the performance indices used to optimize materials and process selection are obtained and used, in the case of Ashby charts , to graphically optimize the selection of materials and processes. When the data bases or data is unavailable for solution by the software , spreadsheet techniques are very helpful and are used for final selection amongst those materials and processes that pass the screening criteria set by the performance indices.
However , even this formalism isn't enough in real life problem solving. The problem is usually that the problem is overconstrained by the customer (i.e. wouldn't it be nice to have a strong , tough, light , cheap , disposable material which can be made with zero tolerances and surface roughness and reconfigured on a days' notice etc.) . Thus the design process is usually iterative, as depicted in Figure 6. The upper figure is used for components and the lower part of the figure depicts the flow of a design from concept to prototype. The outcome of this iterative process, the detailed design, then enters the product realization process shown in Figure 2, thus bringing the entire design process full circle. Understanding this design to production , marketing , and support cycle is probably the most useful real world outcome a student can glean from this course and , based on feedback from students who have taken this course earlier, a perspective that will serve you in good stead throughout your career.
What follows directly below is a roadmap of this course. It shows how the themes of detailed case studies, materials and process selection, and the integration of selection in design are being interwoven in this course. It is seen that the early part of the course focused on Axis two and three in an effort to orient you to your detailed case studies as early as possible in the semester. Below that are the figures mentioned in the text above.
MSE 5090: Case Studies in Materials Selection:
Course
Roadmap-
the three categories of courseware
Materials in Design | Selection Formalism | Case Studies |
Main Source: Dieter, G. ASM Handbook v.20 Materials Selection and Design , 1997 | Main Source: Ashby, H Materials Selection in
Mechanical Design
1992 and CMS software, Materials and Process Selection |
Sources: Harvard Business School, Journal Publications and previous classes, seven case studies given to students for review |
Materials Engineering and the design process - week 1 | Case Study Criteria - on the web page | |
Data Quality - Week 2 | ||
The Materials Selection Process - Week 3 | Presentation skills material on net | |
Materials Property Charts -
Week 4, software plus text |
Examples of Good Case Study introductions -on net | |
Performance Index definition and derivation- text +ASM- Week 5 | ||
Case Studies in the use of Property charts -software + text Week 6 | Case study background, on net | |
Selection case studies, design requirements and constraints Week 7 Text +software | ||
Process Selection Procedures - text +software +ASM- Week 8 | Case Study of Snowboard materials-UU | |
Value Analysis and selection optimization - Week 9 | Process Selection examples, forces for change - Week 9 | Case Study of Low Cost Eyeglasses - Week 9 |
Tradeoff Analysis - ASM
Week 10 |
Materials and Process Selection Capstone examples - Software | Case Study of Ice Axe Materials-UU |
Manufacturing Aspects of Design - Week 11 | Case Study on Materials Selection for Chemical Process industries-UU | |
Process Modeling - ASM Handbook -Week 12 | Case Study of Titanium Matrix composite fabrication | |
CMS case studies of multi- stage selection - Week 13 | Case Study of shuttle Main Engine Failure -ASM | |
Life Cycle Costing and Environmental Criteria- ASM - Week 14 | Case Study of Chaparral Steel rapid product and process development - HBS | |
Comparison of theory and real world - Week 15 | Case Study of Aerospace Corporation Research Strategy selection - HBS |
Factor | Factor Nameda | Standardized
Function
Coefficients |
Lambda |
F To
Enter or Remove |
F4
F2 F1 F14 F8
F3
F18 |
Product Uniqueness/Superiority
Market Knowledge and Marketing Proficiency Technical/Production Synergy and Proficiency Market Dynamism (Frequency of New Product Introductions) Market Need, Growth, and Size Relative Price of Product Marketing and Managerial Synergy Marketing Competitiveness and Customer Satisfaction Newness to the Firm Strength of Marketing Communications and Launch Effort Source of Idea/Investment Magnitude |
0.465 0.325 -0.264
-0.186
0.137 0.114 |
0.730 0.680 0.644
0.540
0.517 0.510 |
31.66
33.95 14.13 10.65
5.88
3.24 2.27 |
Group
Centroids: |
Successes: 0.666
(N = 102)
Failures: -0.731 (N = 93) |
FIG 4 ROLE OF MATERIALS IN THE DESIGN PROCESS