Abstract The small punch (SP) test has been widely used in applications where conventional mechanical tests cannot be performed; this paper predicts the material strength from the SP test results by empirical correlations method. The yield strength (YS) and ultimate tensile strength (UTS) models serve to associate the load–displacement (LD) curves of SP tests with the stress–strain data of uniaxial tensile tests, and then, the feasibility of these models at different temperatures is investigated. Using the Pearson’s correlation coefficient (PCC) method, the ideal strength equations are accessed from past studies for the cast superalloys, including ZG15Cr2Mo1, P91, 316H, and Hastelloy X, whereas the validation results of the additively manufactured (AM) GH4169 alloy are not satisfactory. As a result, considering the unique manufacturing process of AM GH4169, this paper develops a YS model with correlation coefficients higher than 90 between the calculated and actual values and proposes a UTS formula with estimation errors less than 3.5. Furthermore, with the purpose of superior strength prediction results, the discussion of the SP test velocity reveals that 0.50 mm min−1 had wide adaptability to various strength models and operating temperatures.
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机译：摘要 小冲床（SP）试验已广泛应用于常规力学试验无法进行的应用;本文根据SP试验结果，采用经验相关法对材料强度进行预测。利用屈服强度（YS）和极限抗拉强度（UTS）模型将SP试验的载荷-位移（LD）曲线与单轴拉伸试验的应力-应变数据相关联，并研究了这些模型在不同温度下的可行性。采用Pearson相关系数（PCC）方法，从ZG15Cr2Mo1、P91、316H和Hastelloy X等铸造高温合金的研究中得到了理想强度方程，而增材制造（AM）GH4169合金的验证结果并不理想。因此，针对AM GH4169独特的制造工艺，本文建立了计算值与实际值相关系数大于90%的YS模型，并提出了估计误差小于3.5%的UTS公式。此外，为了获得优越的强度预测结果，对SP测试速度的讨论表明，0.50 mm min−1对各种强度模型和工作温度具有广泛的适应性。
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