کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7205978 | 1468630 | 2018 | 31 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Strategies for functionally graded lattice structures derived using topology optimisation for Additive Manufacturing
ترجمه فارسی عنوان
استراتژی برای ساختارهای عملکردی درجه بندی شده با استفاده از بهینه سازی توپولوژی برای تولید افزودنی
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کلمات کلیدی
ساختار شبکه درجه بندی عملکردی، بهینه سازی توپولوژی، طراحی برای تولید افزودنی، تجزیه و تحلیل عنصر محدود،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی صنعتی و تولید
چکیده انگلیسی
A number of strategies that enable lattice structures to be derived from Topology Optimisation (TO) results suitable for Additive Manufacturing (AM) are presented. The proposed strategies are evaluated for mechanical performance and assessed for AM specific design related manufacturing considerations. From a manufacturing stand-point, support structure requirement decreases with increased extent of latticing, whereas the design-to-manufacture discrepancies and the processing efforts, both in terms of memory requirements and time, increase. Results from Finite Element (FE) analysis for the two loading scenarios considered: intended loading, and variability in loading, provide insight into the solution optimality and robustness of the design strategies. Lattice strategies that capitalised on TO results were found to be considerably (â¼40-50%) superior in terms of specific stiffness when compared to the structures where this was not the case. The Graded strategy was found to be the most desirable from both the design and manufacturing perspective. The presented pros-and-cons for the various proposed design strategies aim to provide insight into their suitability in meeting the challenges faced by the AM design community.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Additive Manufacturing - Volume 19, January 2018, Pages 81-94
Journal: Additive Manufacturing - Volume 19, January 2018, Pages 81-94
نویسندگان
Ajit Panesar, Meisam Abdi, Duncan Hickman, Ian Ashcroft,