id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fis-4790	Azadi, Mohammad; Matin, Mahmood	Shapley additive explanation on machine learning predictions of fatigue lifetimes in piston aluminum alloys under different manufacturing and loading conditions	2024	14	.pdf	application/pdf	7277	476	52	This finding can aid in classifying each feature by showcasing the average impact of each feature on fatigue lifetime, as shown in Fig. 7(a), and the logarithm of fatigue lifetimes, as shown in Fig. 7b), serving as the target of the modeling process. This work innovatively investigates the influence of various experimental and manufacturing factors on piston aluminum alloy specimens under rotational bending fatigue tests, utilizing ML techniques to assess their significance and interactions affecting fatigue lifetime values.	cache/fis-4790.pdf	txt/fis-4790.txt