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Phase Separation Equipment
Published in Arthur J. Kidnay, William R. Parrish, Daniel G. McCartney, Fundamentals of Natural Gas Processing, 2019
Arthur J. Kidnay, William R. Parrish, Daniel G. McCartney
Mesh pads are either wire or knitted mesh, usually about 6 in. (150 mm) thick. The mesh material is typically stainless steel but plastics are sometimes used. Common wire diameters are in the order of 1–10 mil (25–250 μm) to provide surface to volume ratios from about 50 to several hundred. Smaller diameter wire is needed with the smaller droplets. Coalescing occurs when impinged droplets come together on the mesh, so high surface area is important for effective mist removal. The mesh pads preferably are mounted horizontally with upward gas flow, but they can be vertical. They lose effectiveness if tilted. Mesh pads tend to be more effective in mist removal than vane packs, but are subject to plugging by solids and heavy oils.
Performance assessment of mesh for ground control applications
Published in Ernesto Villaescusa, Christopher R. Windsor, Alan G. Thompson, Rock Support and Reinforcement Practice in Mining, 2018
Alan G. Thompson, Christopher R. Windsor, Glynn W. Cadby
Ground control for mining excavations may consist of combinations of reinforcement and support. Reinforcement comprises rock bolts and cable bolts which are installed in boreholes. Support may comprise point, strip or areal restraint at the excavation surface. Plates and straps are used to provide point and strip restraint, respectively. A variety of methods may be used to provide areal support to the rock mass. The most common methods are sprayed coatings and mesh. The sprayed coatings may be either based on concrete (e.g. shotcrete or fibrecrete) or polymeric based materials (e.g. Wojno, 1998). Mesh used in mining is generally manufactured from steel wires that may either be woven together to form a flexible, continuous sheet (which is usually supplied in rolls) or welded to form a relatively stiff, flat sheet.
Data fusion and shape retrieval methods for 3D geometric structures
Published in Paulo Jorge Bártolo, Artur Jorge Mateus, Fernando da Conceição Batista, Henrique Amorim Almeida, João Manuel Matias, Joel Correia Vasco, Jorge Brites Gaspar, Mário António Correia, Nuno Carpinteiro André, Nuno Fernandes Alves, Paulo Parente Novo, Pedro Gonçalves Martinho, Rui Adriano Carvalho, Virtual and Rapid Manufacturing, 2007
The above discussion refers data fusion from noncontact technologies and new reconstruction methods that utilize diverse data. The proposed grid-based reconstruction approach, based on a volumetric representation of the object’s shape, can be integrated with non-contact technology and utilize diverse data. The meshes are suitable for modeling, simulation, analysis and manufacturing applications.
Effects of the wire mesh on pulsed eddy current detection of corrosion under insulation
Published in Nondestructive Testing and Evaluation, 2023
Zhiyuan Xu, Zhen Zhou, Hanqing Chen, Zhongyi Qu, Jixiong Liu
The wire mesh is typically welded or woven by wire strands made of mild steel, stainless steel or aluminium. For now, whether it impacts the CUI detection remains ambiguous. It was reported in [22] that embedding chicken wire in the insulation typically increases the footprint size by about 40%, while in [23] it was pointed out that the wire mesh is not a limitation and does not create any issue for the PEC results. This ambiguity motivates us to investigate whether and how the wire mesh affects the PEC probe’s performance in CUI detection. Numerical simulations were conducted to provide visualised eddy current distribution which helps examine the effects of the wire mesh on the probe footprint size and the probe detection capability to CUI. Subsequent experimental verification was carried out to support the simulation results.
Development of a filter that mimics tracheobronchial deposition of respirable aerosols in humans
Published in Aerosol Science and Technology, 2019
S. Tavernini, M. Kiaee, D. J. Farina, A. R. Martin, W. H. Finlay
Additionally, the filter efficiency models of Nguyen and Beeckmans (1975) for “model filters” composed of layered metal meshes were explored. Although this model was developed for N = 325 mesh and 250 mesh (where N is the number of wires or openings per inch in both x and y directions) having 30 µm and 43 µm diameter wires, respectively, we extrapolated it to other meshes to guide our investigation. This model uses empirical modifications to the single fiber impaction efficiency equation of Landahl and Herrmann (1949) and geometrical considerations in the mat efficiency equation similar to that of Stenhouse, Harrop, and Freshwater (1970). Use of this model suggested the filter should consist of seven layers of 500 × 0.0008″ (20 µm) mesh (N x df) with a 40 mm face diameter (D) spaced at 0.012″ (0.305 mm) in order to provide the necessary filtration efficiency curves. We built this mesh and all other tested meshes using woven stainless steel wires. It must be noted that this solution contains three parameters whose values are extrapolated outside the range for which the model was developed: first, the wire diameter is smaller; second, the number of wires is larger; and third, the spacing between layers was not equal to the spacing between wires and so the filter solidity was drastically reduced. These extrapolations led to inaccurate estimation of the filter efficiency curves, with the filtration of this solution being too high and varying too much with flow rate compared to experiments described below.
Impact of gyrotactic microorganisms in nanofluid via porous media along an inclined stretching plate: Finite element analysis
Published in Numerical Heat Transfer, Part B: Fundamentals, 2023
Mesh is used to break down the geometry into little components known as elements by means of a set of nodes, such that an element’s solution can be roughly approximated with basic polynomials functions. After the system’s components have been identified, one might apply straightforward physical reasoning to build the element equations in terms of significant variables.