In order to improve the volumetric efficiency of axial piston pump, this paper proposes a novel stacked roller 2D pump. It utilizes alternate communication between distribution cylinder and oil intake discharge ports housing realize flow distribution. While removing independent mechanism traditional leakage loss at friction pair can be reduced efficiency. Based on principle, an analytical model...

This paper presents a method for modeling the surface of an object from a sequence of range maps. Our method is based on a volumetric approach that produces a compact surface without boundary. It provides robustness through the use of interval analysis techniques and computational efficiency through hierarchical processing using octrees.

background and objectives: auto-induction is usually employed to achieve high cell density and overproduction of proteins with a simple and low-cost operation. the efficiency of heterologous protein expression in escherichia coli is determined by different parameters. interactions between these parameters usually complicate the identification of those that contribute more to the improvement of ...

In this paper the intake manifold as the most effective part on engine’s volumetrice efficiency is in vestigated in detail with emphesizing on flow behavior and characterestics. The eight different design have been  prepared  and  imported to CFD software. Five objective functions for investigation of flow have been connsidered and applied in TOPSIS with different weights. Mass flow rate,massfl...

We have examined the methane uptake properties of six of the most promising metal organic framework (MOF) materials: PCN-14, UTSA-20, HKUST-1, Ni-MOF-74 (Ni-CPO-27), NU-111, and NU-125. We discovered that HKUST-1, a material that is commercially available in gram scale, exhibits a room-temperature volumetric methane uptake that exceeds any value reported to date. The total uptake is about 230 c...

We present an algorithm for volumetric registration of 3D solid shapes. In comparison to previous work on image based registration, our technique achieves higher efficiency by leveraging a template tetrahedral mesh. In contrast to point- and surface-based registration techniques, our method better captures volumetric nature of the data, such as bone thickness. We apply our algorithm to study pa...

Automated prostate segmentation from 3D MR images is very challenging due to large variations of prostate shape and indistinct prostate boundaries. We propose a novel volumetric convolutional neural network (ConvNet) with mixed residual connections to cope with this challenging problem. Compared with previous methods, our volumetric ConvNet has two compelling advantages. First, it is implemente...