欧式导槽密封条钢带疲劳强度预测数据

作为工程材料在循环交变载荷作用下长期服役安全可靠性的关键指标，疲劳强度(一般指材料在经受10^7次交变载荷作用后不发生疲劳断裂时的最大应力）得到了抗疲劳设计开发者们的持续关注。目前疲劳强度的获得主要依靠疲劳测试，经济成本与时间成本因此而居高不下。申请人在Wohler公式等理论的基础上，以σw=σy*[C-(σy/σb)]/ω为基本函数形式，以静态拉伸性能预测动态疲劳性能为基本指导思想，通过对材料弹性、塑性、硬化能力、组织缺陷等疲劳强度几大影响因素的整合集中反映了疲劳损伤的基本原理，并以简洁的形式建立起疲劳强度σw与屈服强度σy、拉伸强度σb的本征关系，同时兼顾了普适性与实用性，有效减少了工程材料开发与选择过程中的大量疲劳实验测试，实现了材料疲劳强度高效预测。（1）力学性能测试：选择若干同系列金属材料进行拉伸性能测试，获得若干组材料屈服强度σy与抗拉强度σb值；
（2）疲劳性能测试：在同系列金属材料中选择2-4种材料制备疲劳测试样品，对其进行疲劳强度测试，获得材料的疲劳强度σw实测值。
（3）参数拟合：利用测得的拉伸性能数据与疲劳强度数据，求得材料的σy/σb与σw/σy值，然后以σy/σb值为横坐标、以σw/σy值为纵坐标绘制σw/σy--σy/σb关系图，并通过线性拟合求得参数ω与C，其中ω为拟合直线斜率的负倒数，C为拟合直线与σy/σb轴的截距。
（4）疲劳强度预测：通过待预测材料的拉伸性能确定材料的σy/σb值，即σw/σy--σy/σb关系图中横坐标位置，通过拟合直线可进一步确定材料的σw/σy值，即纵坐标位置，从而求得相应材料的疲劳强度σw预测值；或者，将待预测材料的拉伸性能σy、σb与参数值ω、C直接代入公式σw=σy*[C-(σy/σb)]/ω，经计算求得相应材料的疲劳强度σw预测值。

As a key indicator of the safety and reliability of engineering materials during long-term service under cyclic alternating loads, fatigue strength (generally referring to the maximum stress at which a material does not undergo fatigue fracture after undergoing 10^7 cycles of alternating loads) has continuously attracted the attention of anti-fatigue design developers. Currently, fatigue strength is mainly obtained through fatigue tests, resulting in high economic and time costs. Building on theories such as Wöhler's formula, the applicant adopted the basic functional form of σ_w = σ_y*[C - (σ_y/σ_b)]/ω, took predicting dynamic fatigue performance from static tensile properties as the core guiding ideology, integrated several major influencing factors of fatigue strength including material elasticity, plasticity, hardening ability and microstructural defects to centrally reflect the basic principles of fatigue damage, established the intrinsic relationship between fatigue strength σ_w, yield strength σ_y and tensile strength σ_b in a concise form, balanced both universality and practicality, effectively reduced a large number of fatigue experimental tests in the process of engineering material development and selection, and realized efficient prediction of material fatigue strength.
(1) Mechanical property test: Select several metallic materials of the same series to conduct tensile property tests, and obtain multiple sets of yield strength σ_y and tensile strength σ_b values of the materials;
(2) Fatigue property test: Select 2 to 4 materials from the same series of metallic materials to prepare fatigue test specimens, perform fatigue strength tests on them, and obtain the measured fatigue strength σ_w values of the materials;
(3) Parameter fitting: Using the measured tensile property data and fatigue strength data, calculate the σ_y/σ_b and σ_w/σ_y values of the materials. Then plot the σ_w/σ_y vs. σ_y/σ_b relationship graph with σ_y/σ_b as the abscissa and σ_w/σ_y as the ordinate, and obtain the parameters ω and C through linear fitting, where ω is the negative reciprocal of the slope of the fitted straight line, and C is the intercept of the fitted straight line with the σ_y/σ_b axis;
(4) Fatigue strength prediction: Determine the σ_y/σ_b value of the material to be predicted through its tensile properties, which corresponds to the abscissa position in the σ_w/σ_y vs. σ_y/σ_b relationship graph. Then the σ_w/σ_y value of the material, i.e., the ordinate position, can be further determined via the fitted straight line, thereby obtaining the predicted fatigue strength σ_w value of the corresponding material. Alternatively, directly substitute the tensile properties σ_y and σ_b of the material to be predicted and the parameter values ω and C into the formula σ_w = σ_y*[C - (σ_y/σ_b)]/ω, and calculate the predicted fatigue strength σ_w value of the corresponding material.

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该数据集为欧式导槽密封条钢带疲劳强度预测数据，包含1111条记录，每季度更新，用于通过静态拉伸性能预测动态疲劳性能，减少工程材料开发中的疲劳实验测试。