Compaction analysis and optimisation of convex-faced pharmaceutical tablets using numerical techniques
نویسندگان
چکیده
منابع مشابه
Numerical Simulation on Pharmaceutical Powder Compaction
In this paper, we present a modified density-dependent Drucker-Prager Cap (DPC) model with a nonlinear elasticity law developed to describe the compaction behavior of pharmaceutical powders. The model is implemented in ABAQUS with a user subroutine. Using microcrystalline cellulose (MCC) Avicel PH101 as an example, the modified DPC model is calibrated and used for finite element simulations of ...
متن کاملNumerical study of soil dynamic compaction using ABAQUS model
One of the most important methods of soil compaction is dynamic compaction, which is one of the oldest and economical methods of soil improvement up to great depths. This method is applied due to its many benefits, including its economic procedure to correct many kinds of soil. One of the most important issues that affect soil improvement methods is being economic. The three main method...
متن کاملDescriptor Learning Using Convex Optimisation
The objective of this work is to learn descriptors suitable for the sparse feature detectors used in viewpoint invariant matching. We make a number of novel contributions towards this goal: first, it is shown that learning the pooling regions for the descriptor can be formulated as a convex optimisation problem selecting the regions using sparsity; second, it is shown that dimensionality reduct...
متن کاملAnalysis and optimisation of railway nodes using simulation techniques
Railway nodes represent sensitive points of railway networks, the efficiency of which influences the effectiveness of network processes. Those nodes belong to the most complex service systems involving sophisticated technological processes and are equipped with quite complicated and costly technical devices. Design of those systems and the organization of their operation have to facilitate the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Particuology
سال: 2019
ISSN: 1674-2001
DOI: 10.1016/j.partic.2018.11.002