Fatigue Properties and Strength Assessment for Al-Si-Mg Alloy via Test Samples with Artificial Defects

doi:10.11901/1005.3093.2019.323

Chinese Journal of Materials Research

2020, Vol. 34

Issue (1): 29-34 DOI: 10.11901/1005.3093.2019.323

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Fatigue Properties and Strength Assessment for Al-Si-Mg Alloy via Test Samples with Artificial Defects

YI Kejian¹,WU Mingze¹,ZHANG Jiwang¹(

),YAN Junfang²,MEI Guiming¹,ZHU Shoudong¹,SU Kaixin¹

1. State Key Laboratory of Traction Power，Southwest Jiaotong University，Chengdu 610031, China
2. Bj-baodeli Electrical Equipment Corporation，Baoji 721000, China

Cite this article:

YI Kejian,WU Mingze,ZHANG Jiwang,YAN Junfang,MEI Guiming,ZHU Shoudong,SU Kaixin. Fatigue Properties and Strength Assessment for Al-Si-Mg Alloy via Test Samples with Artificial Defects. Chinese Journal of Materials Research, 2020, 34(1): 29-34.

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Abstract

Artificial defects of different size were introduced on rotary bending fatigue test samples of Al-7Si-0.6Mg Al-alloy, which is the desired material for the high-speed railway contact net support and positioning device. The influence of defect sizes on the fatigue strength of the alloy was examined via rotating bending fatigue machine, while the quantitative relationship between fatigue strength and defect size was established. The results show that the larger the artificial defect size, the greater the decrease of the high cycle fatigue strength of the sample. The artificial defect size of less than 370 μm has no effect on the high cycle fatigue strength of the alloy; The modified Murakami formula can be applied for more accurate evaluation of the high cycle fatigue strength and stress intensity factor threshold of Al-7Si-0.6Mg Al-alloy within the range of applicability conditions.

Key words: metallic materials Al-7Si-Mg alloy artificial defect fatigue performance modified Murakami formula

Received: 02 July 2019

ZTFLH:

TU512.4

Fund: National Natural Science Foundation of China(U1534209)

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	Articles by authors
	Kejian YI
	Mingze WU
	Jiwang ZHANG
	Junfang YAN
	Guiming MEI
	Shoudong ZHU
	Kaixin SU

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https://www.cjmr.org/EN/10.11901/1005.3093.2019.323 OR https://www.cjmr.org/EN/Y2020/V34/I1/29

Table 1 Chemical composition of Al-7Si-0.6Mg casting alloy (mass fraction, %)

Fig.1 Rotary bending fatigue specimen shape and size (mm)

Fig.2 Artificial defect schematic

Serial number	Diameter=Depth(d=h)	Top angle( $θ$ )	$a r e a$
1	400	120°	370
2	600	120°	555
3	800	120°	740
4	1000	120°	925

Table 2 Artificial defect size (μm)

Fig.3 S-N curves of Al-7Si-Mg sample

Serial number	$a r e a$ /μm	$σ 5 × 107$ /MPa	Reduction rate /%
1	370	80	0
2	555	75	6.25
3	740	70	12.5
4	925	60	25

Table 3 Artificial defect sample fatigue strength

Fig.4 Drilled specimen fatigue fracture in different sizes (a) 925 μm drilled specimen–70 MPa stress level; (b) 370 μm drilled specimen–90 MPa stress level

Fig.5 Comparison of crack source of 370 μm drilled specimen: (a) artificial defect crack source; (b) section crack source

Fig.6 Crack source of smooth specimen

Serial number	$a r e a$ /μm	$σ 5 × 107$ /MPa	$σ 107$ /MPa	$σ w$ /MPa	$σ 5 × 107 / σ w$	$σ 107 / σ w$
1	370	80	80	91.6	0.87	0.87
2	555	75	75	85.6	0.88	0.88
3	740	70	75	81.6	0.86	0.91
4	925	60	70	78.6	0.76	0.89

Table 4 Comparison of predicted results and experimental results of Ueno formula for Al-7Si-0.6Mg samples

Fig.7 Kitagawa-Takahashi curve of Al-7Si-Mg alloy sample with artificial defects

Serial number	$a r e a$ /μm	$σ 5 × 107$ /MPa	$σ w$ /MPa	$σ 5 × 107 / σ w$	Error/%
1	370	80	79.31	1.01	0.86
2	555	75	74.13	1.01	1.16
3	740	70	70.66	0.99	0.94
4	925	60	68.08	0.88	13.47

Table 5 Comparison of prediction results of modified formulas of Al-7Si-0.6Mg samples with artificial defects and experimental results

Serial number	$a r e a$ /μm	$∆ K t h / M P a · m$	$∆ K M / M P a · m$	$∆ K U / M P a · m$
1	370	3.54	5.84(64.97%)	3.83(8.19%)
2	555	4.07	6.69(64.37%)	4.38(7.62%)
3	740	4.39	7.36(67.65%)	4.82(9.79%)
4	925	4.20	7.93(88.81%)	5.20(23.81%)

Table 6

∆ K t h

calculation results for Al-7Si-0.6Mg samples with artificial defects (predicted error in parentheses)

Fig.8 Effect of artificial defect size on

∆ K t h

Serial number	$a r e a$ /μm	$∆ K t h$ / $M P a · m$	$∆ K t h' / M P a · m$	Error /%
1	370	3.54	3.52	0.56
2	555	4.07	4.03	0.98
3	740	4.39	4.44	1.14
4	925	4.20	4.78	13.81

Table 7 Comparison of experimental calculations

∆ K t h

and revised prediction formula prediction results

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