Dynamic Pressure rise or fall in all kinds of pipelines due to the operation valve which are transmitting fluids very much essential part consider design pipeline. This paper presents how calculate these dynamic pressure waves while designing pipelines.

this paper is concerned with asphaltene deposition in fluid flowing through pipelines. brownian diffusion and drag, gravitational, thermophoresis, buoyancy, and shear removal are considered as possible mechanisms in the asphaltene deposition process. the thermo-physical properties of the fluid were obtained from iranian oil fields. a model was used in the pipeline deposition modeling to predict...

Structural  design  optimization  usually  deals  with  multiple  conflicting  objectives  to  obtain the minimum construction cost, minimum weight, and maximum safety of the final design. Therefore, finding the optimum design is hard and time-consuming for  such problems.  In this paper, we borrow the basic concept of multi-criterion decision-making and combine it with  Particle  Swarm  Optimi...

The temperature field evolving in the limestone around the district heating tunnel in Copenhagen due to operation of the long-distance heating pipelines is investigated by means of poro-hydro-thermal numerical analyses. The presented parametric studies illustrate the coupling between the temperature and the groundwater flow. It is shown how a general horizontal groundwater flow and the hydrauli...

Monostable to Bistable (MOBILE) gates are very suitable for the implementation of gate-level pipelines which can be achieved without resorting to memory elements. MOBILE operating principle is implemented using two series connected Negative Differential Resistance (NDR) devices with a clocked bias. This paper describes and experimentally validates a two-phase clock scheme for such MOBILE based ...

This paper describes Bluima, a natural language processing (NLP) pipeline focusing on the extraction of neuroscientific content and based on the UIMA framework. Bluima builds upon models from biomedical NLP (BioNLP) like specialized tokenizers and lemmatizers. It adds further models and tools specific to neuroscience (e.g. named entity recognizer for neuron or brain region mentions) and provide...