Prediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components covers this important component that affects the performance of the entire vehicle. The light weight of automotive structural components is one of the sustainable solutions to energy and environmental issues, and the development technology of its core components and vehicle performance evaluation technology are its key development directions. To gradually replace traditional cars on a large scale, electric vehicles need to address the durability and reliability issues of the entire vehicle and key components.
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Properties of metals and nonmetals - p. 27 3. Chapter 3 Strength characteristics of structural parts - p. 73 4. Abstract - p. 73 5. 3.1 The fisheye effect - p. 74 6. 3.2 The residual stress - p. 83 7. 3.3 The surface roughness - p. 89 8. 3.4 The allowance for machining - p. 91 9. 3.4.2 Reliability analysis of the process machining allowances for long pin parts - p. 97 10. 3.5 The interference fit - p. 106 11. 3.5.1 Interference fit of a high-speed train wheel axle - p. 106 12. 3.5.2 Reliability analysis and evaluation of high-speed train wheel axle - p. 115 13. 3.6 The influence of usage environment on the strength characteristics of structural components - p. 121 14. 3.6.1 The abrasion - p. 121 15. 3.6.2 Thermal stress - p. 126 16. 3.6.3 The ambient temperature - p. 133 17. References - p. 137 18. Chapter 4 Load extrapolation principle and characterization - p. 141 19. Chapter 5 Fatigue life prediction method - p. 187 20. Chapter 6 Determination and experimental validation of fatigue life testing specifications - p. 215 21. Abstract - p. 215 22. 6.1 Test specification and procedure - p. 215 23. 6.2 Case 1: Wheel reduction system - p. 222 24. 6.3 Case 2: Clutch key component - p. 239 25. 6.4 Case 3: Engine support - p. 253 26. 6.4.1 Bench test of engine mount - p. 253 27. 6.4.2 Engine mount bench test principle - p. 254 28. 6.4.3 Evaluation of engine mount test results - p. 258 29. 6.5 Case 4: Swing arm support rod - p. 260 30. 6.5.1 Fatigue test specification for swinging support rods - p. 260 31. 6.5.2 Test verification of the swing arm support rod - p. 265 32. 6.5.3 Improved bootstrap method - p. 267 33. 6.5.4 Data analysis of the swing arm support rod - p. 268 34. References - p. 273 35. Chapter 7 Fatigue reliability analysis and evaluation - p. 277 36. Abstract - p. 277 37. 7.1 Challenges in fatigue reliability analysis - p. 277 38. 7.2 Fatigue reliability analysis and evaluation methods - p. 279 39. 7.3 Case 1: Mixed uncertainty analysis for dynamic reliability - p. 280 40. 7.4 Case 2: Reliability prediction model under multistage loading - p. 287 41. 7.5 Case 3: Reliability prediction model for hidden quality cost - p. 290 42. 7.6 Case 4: Reliability analysis considering mixed uncertain variables - p. 297 43. 7.6.1 Reliability prediction model introduction - p. 298 44. 7.6.2 Case analysis for model considering mixed uncertain variables - p. 299 45. References - p. 309 46. Chapter 8 Correlation between quality characteristics and fatigue life - p. 314 47. Abstract - p. 314 48. 8.1 Study significance - p. 313 49. 8.2 Quality loss function - p. 316 50. 8.3 Quality loss modeling of the transmission shaft phase - p. 320 51. 8.4 Prediction and evaluation of friction plate life - p. 332 52. 8.4.2 Passenger automobile friction plate - p. 337 53. 8.4.3 Modified service quality loss model via wear rule - p. 339 54. 8.4.4 Service life prediction of the friction plate - p. 347 55. 8.5 Fatigue life prediction of an aeroengine piston based on quality loss - p. 354 56. 8.5.1 Aeroengine piston - p. 354 57. 8.5.2 Computational analysis of piston thermal engine coupling - p. 356 58. 8.5.3 Modeling of quality loss considering temperature - p. 359 59. 8.5.4 Lifetime prediction considering maintenance - p. 360 60. References - p. 369 61. Index - p. 371
Prediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components covers this important component that affects the performance of the entire vehicle. The light weight of automotive structural components is one of the sustainable solutions to energy and environmental issues, and the development technology of its core components and vehicle performance evaluation technology are its key development directions. To gradually replace traditional cars on a large scale, electric vehicles need to address the durability and reliability issues of the entire vehicle and key components.
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Properties of metals and nonmetals - p. 27 3. Chapter 3 Strength characteristics of structural parts - p. 73 4. Abstract - p. 73 5. 3.1 The fisheye effect - p. 74 6. 3.2 The residual stress - p. 83 7. 3.3 The surface roughness - p. 89 8. 3.4 The allowance for machining - p. 91 9. 3.4.2 Reliability analysis of the process machining allowances for long pin parts - p. 97 10. 3.5 The interference fit - p. 106 11. 3.5.1 Interference fit of a high-speed train wheel axle - p. 106 12. 3.5.2 Reliability analysis and evaluation of high-speed train wheel axle - p. 115 13. 3.6 The influence of usage environment on the strength characteristics of structural components - p. 121 14. 3.6.1 The abrasion - p. 121 15. 3.6.2 Thermal stress - p. 126 16. 3.6.3 The ambient temperature - p. 133 17. References - p. 137 18. Chapter 4 Load extrapolation principle and characterization - p. 141 19. Chapter 5 Fatigue life prediction method - p. 187 20. Chapter 6 Determination and experimental validation of fatigue life testing specifications - p. 215 21. Abstract - p. 215 22. 6.1 Test specification and procedure - p. 215 23. 6.2 Case 1: Wheel reduction system - p. 222 24. 6.3 Case 2: Clutch key component - p. 239 25. 6.4 Case 3: Engine support - p. 253 26. 6.4.1 Bench test of engine mount - p. 253 27. 6.4.2 Engine mount bench test principle - p. 254 28. 6.4.3 Evaluation of engine mount test results - p. 258 29. 6.5 Case 4: Swing arm support rod - p. 260 30. 6.5.1 Fatigue test specification for swinging support rods - p. 260 31. 6.5.2 Test verification of the swing arm support rod - p. 265 32. 6.5.3 Improved bootstrap method - p. 267 33. 6.5.4 Data analysis of the swing arm support rod - p. 268 34. References - p. 273 35. Chapter 7 Fatigue reliability analysis and evaluation - p. 277 36. Abstract - p. 277 37. 7.1 Challenges in fatigue reliability analysis - p. 277 38. 7.2 Fatigue reliability analysis and evaluation methods - p. 279 39. 7.3 Case 1: Mixed uncertainty analysis for dynamic reliability - p. 280 40. 7.4 Case 2: Reliability prediction model under multistage loading - p. 287 41. 7.5 Case 3: Reliability prediction model for hidden quality cost - p. 290 42. 7.6 Case 4: Reliability analysis considering mixed uncertain variables - p. 297 43. 7.6.1 Reliability prediction model introduction - p. 298 44. 7.6.2 Case analysis for model considering mixed uncertain variables - p. 299 45. References - p. 309 46. Chapter 8 Correlation between quality characteristics and fatigue life - p. 314 47. Abstract - p. 314 48. 8.1 Study significance - p. 313 49. 8.2 Quality loss function - p. 316 50. 8.3 Quality loss modeling of the transmission shaft phase - p. 320 51. 8.4 Prediction and evaluation of friction plate life - p. 332 52. 8.4.2 Passenger automobile friction plate - p. 337 53. 8.4.3 Modified service quality loss model via wear rule - p. 339 54. 8.4.4 Service life prediction of the friction plate - p. 347 55. 8.5 Fatigue life prediction of an aeroengine piston based on quality loss - p. 354 56. 8.5.1 Aeroengine piston - p. 354 57. 8.5.2 Computational analysis of piston thermal engine coupling - p. 356 58. 8.5.3 Modeling of quality loss considering temperature - p. 359 59. 8.5.4 Lifetime prediction considering maintenance - p. 360 60. References - p. 369 61. Index - p. 371
