Capstone Design

MAE 4980

Coordinator: Dr. A. Sherif El-Gizawy

Design Function Cost Materials Selection Properties & Cost Manufacturing 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 Specifications (Engineering Analysis) -Geometry -Materials -Manufacturing Optimization -Quality -Cost -Safety Physical Prototype -Fabrication &Assembly -Testing -Fine Tuning Tools: QFD, Solid Modeling, Data Bases, FEM, FMEA

Conceptual Design

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Problem Definition and Objectives.

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Project Planning.

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Collecting Information.

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Generate Concepts.

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Select Final Concept that Meet Objectives

1 5 Correlation Matrix 4 Engineering Characteristics Quality Function Deployment (QFD or House of Quality) 6 2 3 Relationship Matrix Competitive Assessment

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.

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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.

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.

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4. Engineering Characteristics, “HOWS” 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.

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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.

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1 5 Correlation Matrix 4 Engineering Characteristics 6 2 Relationship Matrix Competitive Assessment 3

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