Permissive Geometry Model

2008 ◽  
pp. 113-120 ◽  
Author(s):  
Susana Minguet ◽  
Wolfgang W.A. Schamel
Keyword(s):  
Geometry Model

scholarly journals Diagnostically Oriented Experiments and Modelling of Switched Reluctance Motor Dynamic Eccentricity

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3857
Author(s):  
Jakub Lorencki ◽  
Stanisław Radkowski ◽  
Szymon Gontarz
Keyword(s):  
Time Domain ◽  
Test Bench ◽  
Switched Reluctance Motor ◽  
Industrial Applications ◽  
Switched Reluctance ◽  
Static And Dynamic Analysis ◽  
Geometry Model ◽  
Reluctance Motor ◽  
Dynamic Eccentricity ◽  
The Time Domain

The article compares the results of experimental and modelling research of switched reluctance motor at two different operational states: one proper and one with mechanical fault, i.e., with dynamic eccentricity of the rotor. The experiments were carried out on a test bench and then the results were compared with mathematical modelling of quasi-static and dynamic analysis of 2D geometry model. Finally, it was examined how the operation with dynamic eccentricity fault of the motor affected its main physical parameter—the phase current. The analysis was presented in the frequency domain using the Fast Fourier Transform (FFT); however, individual current waveforms in the time domain are also shown for comparison. Applying results of the research could increase reliability of the maintenance of SRM and enhance its application in vehicles for special purposes as well as its military and industrial applications.

scholarly journals A Surface Geometry Model for LiDAR Depth Completion

2021 ◽  
pp. 1-1
Author(s):  
Yiming Zhao ◽  
Lin Bai ◽  
Ziming Zhang ◽  
Xinming Huang
Keyword(s):  
Surface Geometry ◽  
Geometry Model

Measuring Biomass Energy Flows of a Rural Energy Engineering

2013 ◽  
Vol 779-780 ◽  
pp. 1388-1393
Author(s):  
Xing Long Xie
Keyword(s):  
Rural Areas ◽  
Energy Development ◽  
Biomass Energy ◽  
Energy Output ◽  
Low Grade ◽  
Energy Investment ◽  
Rural Energy ◽  
Geometry Model ◽  
Energy Flows ◽  
Energy Engineering

Energy consumption in the Chinese rural areas features massive use of low-grade energy commodities and the distempered structure of exorbitant leaning on biomass energy. This has provoked an increasingly exacerbating environment and exerted a depressing effect on agriculturally sustainable development. Pilot energy engineering practices of efficient utilization environment improvement have seen a surge on a vast extent of rural lands. As a typical engineering of energy resources for methane production, the four-dimension-inone-geometry model concerning ecological agriculture has triggered scholarly attention. The aim of this study is to deal with energy flows in this system whereby to put forward measures for its upgrading and ultimately offer policies for rural energy development and use. First, the study depicts the models structure and working process, and the methodology of estimating its energy flows. Next, taking a three member household as an example, the study estimates the quantity in its energy flows, finding that the whole system imports 1,195,102 MJ of energy and generates 35,728MJ, with 47.3% yielded by the breeding system, 32.1% by the anaerobic fermentation system, and 20.6% by the planting system. Comparatively, this model has neither achieved the artificially auxiliary energy-output ratio of 2.4:1, a criterion for high yield, nor reached the national high output standard of 38.1GJ/hm2 in inorganic energy investment and the height of 124.3 GJ/hm2 of farmland energy input in the bio-energy zones of good harvest. On this ground, this study presents countermeasures to further improve the models energy efficiency and strategies related to rural energy development. Those suggestions might apply to other rural areas.

Distributed-Parameter Modeling for Geometry Control of Manufacturing Processes With Material Deposition

1998 ◽  
Vol 122 (1) ◽  
pp. 71-77 ◽  
Author(s):  
Charalabos Doumanidis ◽  
Eleni Skordeli
Keyword(s):  
Solid Freeform Fabrication ◽  
Surface Topology ◽  
Distributed Parameter ◽  
Surface Geometry ◽  
Mass Source ◽  
Freeform Fabrication ◽  
Geometry Model ◽  
Material Deposition ◽  
Solid Objects ◽  
3D Solid

Recent solid freeform fabrication methods generate 3D solid objects by material deposition in successive layers made of adjacent beads. Besides numerical simulation, this article introduces an analytical model of such material addition, using superposition of unit deposition distributions, composed of elementary spherical primitives consistent with the mass transfer physics. This real-time surface geometry model, with its parameters identified by in-process profile measurements, is used for Smith-prediction of the material shape in the unobservable deposition region. The model offers the basis for a distributed-parameter geometry control scheme to obtain a desired surface topology, by modulating the feed and motion of a moving mass source. The model was experimentally tested on a fused wire deposition welding station, using optical sensing by a scanning laser stripe. Its applications to other rapid prototyping methods are discussed. [S0022-0434(00)02301-7]

scholarly journals Parameter restrictions in a non-commutative geometry model do not survive standard quantum corrections

1993 ◽  
Vol 306 (1-2) ◽  
pp. 55-58 ◽  
Author(s):  
E. Álvarez ◽  
J.M. Gracia-Bondía ◽  
C.P. Martín
Keyword(s):  
Quantum Corrections ◽  
Standard Quantum ◽  
Geometry Model

Low-Cost Measurement of Hydraulic Fracture Dimensions Using Pressure Data in Treatment and Observation Wells – A Workflow for Every Well

2021 ◽  
Author(s):  
A. Kirby Nicholson ◽  
Robert C. Bachman ◽  
R. Yvonne Scherz ◽  
Robert V. Hawkes
Keyword(s):  
Hydraulic Fracturing ◽  
Real Time ◽  
Hydraulic Fracture ◽  
Full Scale ◽  
Pressure Data ◽  
Observation Well ◽  
High Quality ◽  
Fracture Length ◽  
Geometry Model ◽  
Observation Wells

Abstract Pressure and stage volume are the least expensive and most readily available data for diagnostic analysis of hydraulic fracturing operations. Case history data from the Midland Basin is used to demonstrate how high-quality, time-synchronized pressure measurements at a treatment and an offsetting shut-in producing well can provide the necessary input to calculate fracture geometries at both wells and estimate perforation cluster efficiency at the treatment well. No special wellbore monitoring equipment is required. In summary, the methods outlined in this paper quantifies fracture geometries as compared to the more general observations of Daneshy (2020) and Haustveit et al. (2020). Pressures collected in Diagnostic Fracture Injection Tests (DFITs), select toe-stage full-scale fracture treatments, and offset observation wells are used to demonstrate a simple workflow. The pressure data combined with Volume to First Response (Vfr) at the observation well is used to create a geometry model of fracture length, width, and height estimates at the treatment well as illustrated in Figure 1. The producing fracture length of the observation well is also determined. Pressure Transient Analysis (PTA) techniques, a Perkins-Kern-Nordgren (PKN) fracture propagation model and offset well Fracture Driven Interaction (FDI) pressures are used to quantify hydraulic fracture dimensions. The PTA-derived Farfield Fracture Extension Pressure, FFEP, concept was introduced in Nicholson et al. (2019) and is summarized in Appendix B of this paper. FFEP replaces Instantaneous Shut-In Pressure, ISIP, for use in net pressure calculations. FFEP is determined and utilized in both DFITs and full-scale fracture inter-stage fall-off data. The use of the Primary Pressure Derivative (PPD) to accurately identify FFEP simplifies and speeds up the analysis, allowing for real time treatment decisions. This new technique is called Rapid-PTA. Additionally, the plotted shape and gradient of the observation-well pressure response can identify whether FDI's are hydraulic or poroelastic before a fracture stage is completed and may be used to change stage volume on the fly. Figure 1Fracture Geometry Model with FDI Pressure Matching Case studies are presented showing the full workflow required to generate the fracture geometry model. The component inputs for the model are presented including a toe-stage DFIT, inter-stage pressure fall-off, and the FDI pressure build-up. We discuss how to optimize these hydraulic fractures in hindsight (look-back) and what might have been done in real time during the completion operations given this workflow and field-ready advanced data-handling capability. Hydraulic fracturing operations can be optimized in real time using new Rapid-PTA techniques for high quality pressure data collected on treating and observation wells. This process opens the door for more advanced geometry modeling and for rapid design changes to save costs and improve well productivity and ultimate recovery.

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