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Shuangshuang Li

Bio: Shuangshuang Li is an academic researcher from Shanghai University of Engineering Sciences. The author has contributed to research in topics: Taylor series & Process capability index. The author has an hindex of 2, co-authored 4 publications receiving 23 citations.

Papers
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TL;DR: In this article, the authors study and discuss fatigue life of automobile stabilizer bar and show that failure is located at the joint of sleeve and stabilizer body body, which is prone to fatigue failure and accident.
Abstract: During the running of automobile, the stabilizer bar is frequently subjected to the impact of complex random loads, which is prone to fatigue failure and accident. In regard to this, the purpose of this paper is to study and discuss fatigue life of automobile stabilizer bar.,Durability bench test shows that failure is located at the joint of sleeve and stabilizer bar body. Based on the collection and compilation of micro-strain load spectrum of the stabilizer bar, the strain-life model is studied considering the influence of average stress and maximum stress at failure area. Seven-grade strain-life curves of the stabilizer bar are established. According to the principle of linear damage accumulation, the relationship between fatigue life and damage is discussed, then the fatigue life of stabilizer bar is predicted. Fatigue life evaluation is carried out from three aspects: reliability analysis, static analysis and fatigue life simulation.,The results show that the reliability of the test sample is 99.9 percent when the confidence is 90 percent and the durability is 1,073 load spectrum cycles; the ratios of predicted and simulated life to design life are 2.77 and 2.30, respectively.,Based on the road load characteristics of automobile stabilizer bar, the method of fatigue life prediction and evaluation is discussed, which provides a basis for the design and development of automobile chassis components.

16 citations

Journal ArticleDOI
TL;DR: A more accurate approach for the study of product quality management is provided and the formula for calculating the hidden quality cost of a product is derived by choosing an appropriate density distribution function and using process capability.
Abstract: The-Nominal-The-Best (N-type) loss function is established based on the Taylor expansion. Results become more accurate as more Taylor expansion items are retained. N-type loss function neglects ter...

12 citations


Cited by
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DOI
TL;DR: The Journal is indexed by Academic Search (EBSCO Publishing), Academic Search Alumni Edition (AALE), EBSCO publishing, Advanced Technologies & Aerospace Database (ProQuest), COMPENDEX (Elsevier), Current
Abstract: ing and Indexi g The Journal is indexed by Academic Search (EBSCO Publishing), Academic Search Alumni Edition (EBSCO Publishing), Advanced Technologies & Aerospace Database (ProQuest), COMPENDEX (Elsevier), Current

44 citations

Journal ArticleDOI
TL;DR: A new research method is proposed on the full life-cycle variation rule of mechanical products based on the main quality characteristic values should obey the nonlinear change during service time to estimate the quality loss of products more accurately.

42 citations

Journal ArticleDOI
TL;DR: The analysis of theinput error percentage can yield a reasonable control range of the input error based on the grey number theory, which not only ensures the system is safe and reliable, but also is cost-efficient.
Abstract: Considering manufacturing errors and installation errors in the automatic battery replacement system, it is necessary to analyze the uncertainty of the automatic battery replacement system to improve the efficiency and accuracy of the system. There are a few universal approaches for uncertainty analysis, such as interval analysis, probability analysis, and combination approach. This paper uses grey number theory, a relatively new method, to analyze. The analysis on the coordinates of the support points finds that the grey number theory can output a range smaller than that of the other three methods, and its results are in line with the actual situation. The grey number theory is used to analyze the coordinate position change of the support point of the automatic battery replacement device with the input error change and the driving rod angle change. The bar tolerance and error circle (installation error) existing in the system are also taken into consideration. Comparing the results produced by the case where error circle is considered and that is not, it can be seen that the influence of the error circle on the results is relatively insignificant compared with that of rod tolerance, but the influence cannot be ignored for structures requiring high precision. Therefore, the analysis of the input error percentage can yield a reasonable control range of the input error based on the grey number theory, which not only ensures the system is safe and reliable, but also is cost-efficient.

21 citations