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عنوان
Prediction of Crack in Machining by Developing of New Analytical Equations

پدید آورنده
Jalal Akbari

موضوع
Engineering; Mechanical engineering,Applied sciences;Analytical model;Crack propagation;Manufacturing;Toughness

رده

کتابخانه
کتابخانه مطالعات اسلامی به زبان های اروپایی

محل استقرار
استان: قم ـ شهر: قم

کتابخانه مطالعات اسلامی به زبان های اروپایی

تماس با کتابخانه : 32910706-025

TL49016

فارسی

Prediction of Crack in Machining by Developing of New Analytical Equations
[Thesis]
Jalal Akbari
Bakhtiari, Mohammad

University of Applied Sciences and Technology (Iran)
2016

50

Place of publication: United States, Ann Arbor; ISBN=978-1-369-17293-5

M.Eng.
Welding
University of Applied Sciences and Technology (Iran)
2016

Linear elastic fracture mechanics model (LEFM) is valid until the nonlinear behavior of materials is limited to a small area around the crack tip. Determining the behavior of many materials regarding the state LEFM alternative is simply not possible. In this research elastic-plastic fracture mechanics for the materials by using nonlinear behavior (permanent deformation) produced in machining is presented. New analytical equipment to predict the crack behavior is discussed. Results showed crack can be independent of the toughness of the material and dimensions specific to the nearest acceptable and will be valid for a wide range of plastic crack tip. There are limitations in the use of this method, however, this model is more valid compared to the present models.

Engineering; Mechanical engineering

Applied sciences;Analytical model;Crack propagation;Manufacturing;Toughness

Almontaser, Debbie

Bakhtiari, Mohammad

Welding
University of Applied Sciences and Technology (Iran)

1840889180; 10162504

 مطالعه متن کتاب 

p

[Thesis]
276903

a
Y

الاقتراح / اعلان الخلل

تحذیر! دقق في تسجیل المعلومات
ارسال عودة
تتم إدارة هذا الموقع عبر مؤسسة دار الحديث العلمية - الثقافية ومركز البحوث الكمبيوترية للعلوم الإسلامية (نور)
المكتبات هي المسؤولة عن صحة المعلومات كما أن الحقوق المعنوية للمعلومات متعلقة بها
برترین جستجوگر - پنجمین جشنواره رسانه های دیجیتال