پیش بینی شکست در قطعات ساخته شده
ترجمه نشده

پیش بینی شکست در قطعات ساخته شده

عنوان فارسی مقاله: پیش بینی شکست در قطعات ساخته شده افزودنی با استفاده از پرتونگاری مقطعی محاسبه ای و شبیه سازی اشعه ایکس
عنوان انگلیسی مقاله: Predicting failure in additively manufactured parts using X-ray computed tomography and simulation
مجله/کنفرانس: پروسیدیای مهندسی – Procedia Engineering
رشته های تحصیلی مرتبط: مهندسی مکانیک
گرایش های تحصیلی مرتبط: ساخت و تولید
کلمات کلیدی فارسی: پرتونگاری مقطعی محاسبه ای، شبیه سازی، مکانیک های ساختاری، روشهای مرزی غوطه ور، شکست، استحکام کششی، تخلخل، تولید افزودنی
کلمات کلیدی انگلیسی: computed tomography، CT، simulation، structural mechanics، immersed boundary methods، failure، tensile strength، porosity، additive manufacturing
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.proeng.2018.02.008
دانشگاه: Volume Graphics GmbH, Speyerer Str. 4–6, 69115 Heidelberg, Germany
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور: 0.970 در سال 2018
شاخص H_index: 51 رد سال 2019
شاخص SJR: 0.277 در سال 2018
شناسه ISSN: 1877-7058
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 10
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E12452
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


1-Introduction


2- Methods


3-Results and Discussion


4-Conclusions and Outlook


Acknowledgments


References

نمونه متن انگلیسی مقاله

Abstract


In casting, molding, or additive manufacturing processes, there are some typical issues that can change the geometry of a part and cause porosity or other defects. With the aid of X-ray computed tomography (CT), internal discontinuities and geometry deviations can be accurately detected and visualized. However, the question remains in how far a given defect affects mechanical failure. We aim at bridging this gap by structural mechanics simulations based on CT images. In this study, we describe a method to predict the tensile strength and the location of crack initiation from the simulated stress distributions on the basis of local stress concentrations. We validate the method for tensile rods and real-life aeronautic parts which were additively manufactured from an AlSi10Mg aluminum alloy. Thirty-six specimens were manufactured in total, where different porosity patterns were deliberately inserted. The specimens were CT-scanned in high resolution. Structural mechanics simulations were carried out on basis of the CT images. An immersed-boundary finite elements code is used. The generation of a conforming simulation mesh is not required, making the code suitable especially for complex geometries like porous objects. The same test specimens were subjected to destructive physical tensile tests. We show that there is a very good correlation between the predicted and measured tensile strengths, and that the location of the first crack occurrence can be forecasted accurately.


Introduction


Structural parts almost inevitably differ from their ideal geometry due to the manufacturing process. In casting and injection moulding, gas or shrinkage pores are common kinds of defects. In additive manufacturing by sintering or melting, heat variations can cause imperfect bonding of the material granules. Industrial X-ray computed tomography (CT) allows for the non-destructive detection and visualization of many kinds of superficial or internal defects. With today’s CT scanners reaching spatial resolutions down to the micrometer scale, a CT image constitutes an accurate three dimensional digital representation of the scanned part. The spatial distribution and the morphological features of the porosity can thus be assessed in detail [1, 2]. However, the mere presence of porosity does not necessarily render a part unusable. In fact even highly porous parts can still be good for a specific purpose. In order to minimize false rejections and thus production costs it is desirable to assess the “effect of the defect”, i.e., to what degree a geometric defect affects the mechanical function. Work has been done to relate the detected porosity to fatigue behavior in aluminum castings [3] and laser-melted parts [4], sometimes combining the pore geometry with heuristic modeling of the pore physics [5, 6] or with analyzing stress concentrations at individual pores using finite element analysis [7].

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