Short-term and long-term behavior of PP-polymer nanocomposites produced by injection molding compounding

2015 ◽  
Author(s):  
M. G. Battisti ◽  
P. Guttmann ◽  
L. Chitu ◽  
W. Friesenbichler
2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Octavian Pastravanu ◽  
Mihaela-Hanako Matcovschi

The main purpose of this work is to show that the Perron-Frobenius eigenstructure of a positive linear system is involved not only in the characterization of long-term behavior (for which well-known results are available) but also in the characterization of short-term or transient behavior. We address the analysis of the short-term behavior by the help of the “(M,β)-stability” concept introduced in literature for general classes of dynamics. Our paper exploits this concept relative to Hölder vectorp-norms,1≤p≤∞, adequately weighted by scaling operators, focusing on positive linear systems. Given an asymptotically stable positive linear system, for each1≤p≤∞, we prove the existence of a scaling operator (built from the right and left Perron-Frobenius eigenvectors, with concrete expressions depending onp) that ensures the best possible values for the parametersMandβ, corresponding to an “ideal” short-term (transient) behavior. We provide results that cover both discrete- and continuous-time dynamics. Our analysis also captures the differences between the cases where the system dynamics is defined by matrices irreducible and reducible, respectively. The theoretical developments are applied to the practical study of the short-term behavior for two positive linear systems already discussed in literature by other authors.


2020 ◽  
Vol 34 (06) ◽  
pp. 10352-10360
Author(s):  
Jing Bi ◽  
Vikas Dhiman ◽  
Tianyou Xiao ◽  
Chenliang Xu

Learning from Demonstrations (LfD) via Behavior Cloning (BC) works well on multiple complex tasks. However, a limitation of the typical LfD approach is that it requires expert demonstrations for all scenarios, including those in which the algorithm is already well-trained. The recently proposed Learning from Interventions (LfI) overcomes this limitation by using an expert overseer. The expert overseer only intervenes when it suspects that an unsafe action is about to be taken. Although LfI significantly improves over LfD, the state-of-the-art LfI fails to account for delay caused by the expert's reaction time and only learns short-term behavior. We address these limitations by 1) interpolating the expert's interventions back in time, and 2) by splitting the policy into two hierarchical levels, one that generates sub-goals for the future and another that generates actions to reach those desired sub-goals. This sub-goal prediction forces the algorithm to learn long-term behavior while also being robust to the expert's reaction time. Our experiments show that LfI using sub-goals in a hierarchical policy framework trains faster and achieves better asymptotic performance than typical LfD.


2018 ◽  
Vol 150 ◽  
pp. 462-474 ◽  
Author(s):  
Jing Zhang ◽  
Xiamin Hu ◽  
Liya Kou ◽  
Bing Zhang ◽  
Yuchen Jiang ◽  
...  

2021 ◽  
Vol 899 ◽  
pp. 245-252
Author(s):  
Elena V. Rzhevskaya ◽  
Vladlena V. Davydova ◽  
Igor V. Dolbin

The paper presents the results of a study of the chemical resistance and mechanical properties of polyphenylene sulfone manufactured by Solvay, Radel brand, obtained by injection molding. Chemical resistance was investigated in short-term tests (24 hours duration), standard (7 days) and long-term (16 weeks). The mechanics of PPSU samples after exposure to chemical reagents is presented. It was revealed in what chemical environments and how much the mechanical properties of polyphenylene sulfone are preserved.


2018 ◽  
Vol 47 (6) ◽  
pp. 20170207 ◽  
Author(s):  
Vinil Kumar Gade ◽  
S. M. Dasaka

Media Ekonomi ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 9
Author(s):  
Nadhiera Ahya Dhiba ◽  
Lavlimatria Esya

<em>This study aims to analyze the factors that influence the growth of Islamic banking assets in Indonesia in the short and long term. <em>This study uses monthly secondary data from 2012 to 2016. The analytical model used is the Error Correction Model (ECM). The advantages of this model can explain short-term and long-term behavior. <em>The results showed the Non-Performing Financing (NPF) variable in the short term had a negative and significant relationship while in the long run it had a negative and not significant relationship to the growth of Islamic banking assets in Indonesia. The Gross Domestic Product (GDP) variable in the short and long term has a positive and not significant relationship to the growth of Islamic banking assets in Indonesia. Operating Cost Variable to Operating Income (BOPO) in the short and long term has a positive and not significant relationship to the growth of Islamic banking assets in Indonesia. Indonesian Islamic Bank Certificate Variables (SBIS) in the short term have a positive and significant relationship while in the long run have a positive and not significant relationship to the growth of Islamic banking assets in Indonesia.</em></em></em>


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