Capstone Design
MAE 4980
Coordinator: Dr. A. Sherif El-Gizawy
Design
Function
Cost
Materials Selection
Manufacturing
Properties & Cost
Interrelation of Design, Materials, and Manufacturing
For Generating a Product
Design Process
Products, Tooling, Processes, Testing Methods, Handling Systems
QFD
Conceptual
Designs
Configuration
Final Design&
Prototypes
FD
Information
-Functions
-Customers Attrib.
-Realistic Constraints
-Eng. Characteristics
Optimization
Specifications
(Engineering Analysis) -Quality
-Cost
-Geometry
-Safety
-Materials
Physical Prototype
-Manufacturing
-Fabrication &Assembly
-Testing
-Fine Tuning
Tools: QFD, Solid Modeling, Data Bases, FEM, FMEA
Conceptual Design
•Problem Definition and Objectives.
•Project Planning.
•Collecting Information.
•Generate Concepts.
•Select Final Concept that Meet Objectives
5
Quality Function Deployment
(QFD or House of Quality)
Correlation
Matrix
4
Engineering Characteristics
Relationship Matrix
2
Competitive
Assessment
3
Importance Rating
6
“Whats”
Customer
Requirement
1
Quality Function Deployment
(QFD or House of Quality)
QFD, is a planning and problem solving tool for translating customer
requirements into the engineering characteristics of the new design.
Components of the House of Quality:
1. Customer Requirements, “WHATS”
Customers requirements (CR) are collected
by the design team from interviews, data
bases, and published data. CR are then organized
inside QFD matrix to aid in identifying design
specifications and constraints.
1
2. Competitive Assessment,
Assessment of the existing competitive products
in terms of meeting customer requirements. It starts
with ranking each CR on a scale of 1 to 5 for each of
the selected competitors.
2
3. Importance Rating,
The results in section 2 will lead to planned improvements
in order to top the competitors. This will result in a
set of importance rating.
3
4. Engineering Characteristics, “HOWS”
4
Engineering characteristics (ECs) are specific
design details that can be measured (weight,
force, velocity, efficiency…etc.), that are needed
to meet CRs.
5. Correlation Matrix,
Engineering characteristics may be dependent
on each other. The degrees of interdependence
are presented in the roof. Strong relation is
given 9 and 3 for medium relationship.
5
6. Relationship Matrix,
It presents the correlation between Engineering
Characteristics (ECs) and Customer Requirements
(CRs). A scale of 9-3-1-0 is used to weight these
relationships.
7. Absolute Importance,
The product of the number in each cell in matrix “6”
times the importance rating in “3” are added together
For each column and introduced in matrix “7”.
8. Relative Importance,
The absolute importance in “7” is normalized through
dividing each value by the total sum of all values time 100.
The larger value indicates stronger effect of EC on CRs.
6
5
Correlation
Matrix
4
Engineering Characteristics
Relationship Matrix
2
Competitive
Assessment
3
Importance Rating
6
“Whats”
Customer
Requirement
1
9. Competitive Assessment,
Present data that compares (benchmarks) each of
the design performance characteristics with those
of the potential competitors. A scale of 1-5 (best) is used.
10. Technical Difficulties,
Assignment of the degree of success to attain the
Desired values for each EC.
A scale of 1-5 (high probability of success) is used.
11. Target Values,
Assignment of feasible target value for each EC based
On understanding the constraints and limitation indicated
In all components of QFD. The values in this room are used
to evaluate the level of progress to meet CR as the design
Project proceeds.
Example:
Protection Case for CD
Eng. Design P.72