ansys workbench 14 chapter 08 optimization

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ansys workbench 14 chapter 08 optimization

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Chapter 8 Optimization   1 Chapter 8 Optimization 8.1 Step-by-Step: Flexible Gripper 8.2 More Exercise: Triangular Plate 8.3 Review Chapter 8 Optimization  Section 8.1 Flexible Gripper  2 Section 8.1 Flexible Gripper Problem Description P1( 70,0) P2(90, 40) P3(69,120) P4(35,160) P5(34,100) P6(24,60) P7(0, 50) X Y • Positions of the P2, P3, and P6 are free to be changed. • The idea is to fix the X-coordinates of these points and adjust their Y-coordinates to achieve a better GA value. • Allowable adjustment ranges are 10 mm for P2, 20 mm for P3, and 5 mm for P6. • The maximum stress should not exceed 15 MPa. Chapter 8 Optimization  Section 8.1 Flexible Gripper  3 Techniques/Conce pts • Input Parameters • Output Parameters • Design Points • Goal Driven Optimization • Design of Experiments • DOE Tables • Response Surfaces • Optimization • Objectives and Constraints • Optimization algorithms • Current Design Chapter 8 Optimization  Section 8.2 Triangular Plate  4 Section 8.2 Triangular Plate Problem Description W R [2] The initial value of the width of the bridge is 30 mm and its allowable range is 20-30 mm. [3] The initial value of the radius of the fillet is 10 mm and its allowable range is 5-15 mm. [1] we want to change the values of W and R to reduce the amount of material. Chapter 8 Optimization  Section 8.2 Triangular Plate  5 Techniques/Conce pts • No additional techniques/concepts are introduced. . Chapter 8 Optimization   1 Chapter 8 Optimization 8.1 Step-by-Step: Flexible Gripper 8.2 More Exercise: Triangular Plate 8.3 Review Chapter 8 Optimization  Section. of Experiments • DOE Tables • Response Surfaces • Optimization • Objectives and Constraints • Optimization algorithms • Current Design Chapter 8 Optimization  Section 8.2 Triangular Plate  4 Section. should not exceed 15 MPa. Chapter 8 Optimization  Section 8.1 Flexible Gripper  3 Techniques/Conce pts • Input Parameters • Output Parameters • Design Points • Goal Driven Optimization • Design

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