Journal
11TH INTERNATIONAL CONFERENCE ON THE MECHANICAL BEHAVIOR OF MATERIALS (ICM11)
Volume 10, Issue -, Pages 1871-1876Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.proeng.2011.04.311
Keywords
Uneven polymers; Pressure dependent yield criteria; Experimental testing; Structural improvement
Funding
- Ignatian Educational Foundation (FEI, Brazil)
Ask authors/readers for more resources
Classical plasticity theories and yield criteria for ductile materials, such as Tresca and von Mises original formulations predict that yielding is independent on the hydrostatic stress state (pressure), which means that tensile and compressive stress-strain behaviours are considered equal and are equally treated. This approach is reasonable for ductile metallic materials but sometimes inaccurate for polymers, which commonly present larger compressive yield strength, therefore being characterized as uneven. Polymer unevenness can be of great interest for mechanical structural design since components that present regions operating under compression can be optimized taking this phenomenon into account. Compressive stress-strain data for polymers are very scarce in the literature, and as a step in this direction this work presents three key-activities: i) four selected polymers were tested under tension and compression to identify unevenness and assess its levels; ii) pressure dependent yield criteria applicable for polymers were briefly reviewed; iii) experimental results were incorporated in adapted design practices using modified yield criteria implemented in optimization and finite element computations. Results show that taking unevenness into account and implementing modified criteria in the numerical techniques for structural calculation can provide mass reductions up to similar to 38% even with simple geometric changes, while keeping original safety and stiffness levels. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICM11
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available