DOE & Quality Control - MEC321 PDF

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New Mansoura University

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full factorial design quality control process control engineering

Summary

This document details a study on full factorial design, control charts for variables (X-chart), and the optimization of lift coefficient (Cl) of an aircraft wing based on three factors - wing angle of attack (AoA), airfoil shape, and airspeed.

Full Transcript

Full Factorial Design Objective The goal is to study how 3 factors - wing angle of attack (AoA) and airfoil shape and airspeed affect the lift generated by an aircraft wing. The experiment will help determine the best combination of wing angle and airfoil shap...

Full Factorial Design Objective The goal is to study how 3 factors - wing angle of attack (AoA) and airfoil shape and airspeed affect the lift generated by an aircraft wing. The experiment will help determine the best combination of wing angle and airfoil shape and airspeed to maximize lift. Step 1: Identify Factors and Levels 1. Wing Angle of Attack (Factor A): Level 1: 5 degrees Level 2: 10 degrees Level 3: 15 degrees 2. Airfoil Shape (Factor B): Level 1: NACA 0012 (Symmetric airfoil) Level 2: NACA 2412 (Cambered airfoil) Level 3: NACA 4412 (Cambered airfoil) 3. Airspeed(Factor C): Level 1: 200 m/s Level 2: 300 m/s Level 3: 400 m/s Step 2: Define the Response The response variable will be the lift coefficient (Cl), which is a measure of the lift generated by the wing under different conditions. Step 3: Experimental Design This is a 3 x 3 full factorial design. There are three factors, each at three levels. In a full factorial design, All possible combinations of the levels are tested. Therefore, we will have 𝟑𝟑 = 27 experimental runs. Step 3: Experimental Design Design Matrix: Here's the design matrix where each row represents a different experiment: Step 4: Analyze the Results Let's break down the results to analyze main effects and interaction effects. Any Questions Thank You Control Charts for Variables (X̅-Chart) Any Questions Thank You

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