Research on the Technology of Three-Dimensional Surface Topological Reconstruction of Underground Rock Salt Cavern Based on Sonar Detection Data

After analyzing the characteristics of rock salt and the feasibility and importance of using underground rock salt cavern as energy stockpiles, this paper explains in detail about the principle of sonar detection technology in cavern measuring and its data organization. This paper studies the technology of three-dimensional surface topological reconstruction of underground rock salt cavern based on sonar detection data with half-edge data structure and boundary representation models. Meanwhile, by conducting validity check for constructed surface model and repair of possible defects, the paper finds correct and effective three-dimensional surface models of underground rock salt cavern, and provides effective data base for the stability analysis, creep analysis and other numerical simulations of underground rock salt cavern. This method, with important economic and social significance, can provide a scientific basis and technological support for the construction of caverns, especially for the safe and rational use of underground rock salt cavern.

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Probabilistic Analysis of a Rock Salt Cavern with Application to Energy Storage Systems

Rock Mechanics and Rock Engineering ◽

10.1007/s00603-016-1105-y ◽

2016 ◽

Vol 50 (1) ◽

pp. 139-157 ◽

Cited By ~ 13

Author(s):

Elham Mahmoudi ◽

Kavan Khaledi ◽

Shorash Miro ◽

Diethard König ◽

Tom Schanz

Keyword(s):

Energy Storage ◽

Rock Salt ◽

Probabilistic Analysis ◽

Storage Systems ◽

Energy Storage Systems ◽

Salt Cavern ◽

Rock Salt Cavern

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Probabilistic analysis of a rock salt cavern with application to energy storage systems, using subset simulation methodology

Energy Geotechnics ◽

10.1201/b21938-96 ◽

2016 ◽

pp. 609-615

Author(s):

E Mahmoudi ◽

K Khaledi ◽

D König ◽

T Schanz

Keyword(s):

Energy Storage ◽

Rock Salt ◽

Probabilistic Analysis ◽

Storage Systems ◽

Energy Storage Systems ◽

Subset Simulation ◽

Salt Cavern ◽

Simulation Methodology ◽

Rock Salt Cavern

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Injection moulding simulation of filling and post-filling stages based on a three-dimensional surface model

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1243/0954405011519088 ◽

2001 ◽

Vol 215 (10) ◽

pp. 1459-1463 ◽

Cited By ~ 11

Author(s):

H Zhou ◽

Y Zhang ◽

D Li

Keyword(s):

Injection Moulding ◽

Three Dimensional ◽

Surface Model ◽

Dimensional Surface

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The Point Cloud Collection of the Incisor Teeth of Beaver and Re-Construction of its Curved Surface

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.426.387 ◽

2012 ◽

Vol 426 ◽

pp. 387-390

Author(s):

Feng Xie ◽

J. W. Zhao ◽

F. Ju

Keyword(s):

Mechanical Property ◽

Point Cloud ◽

State Of The Art ◽

Cutting Tools ◽

Three Dimensional ◽

Evolutionary Process ◽

Geometric Shape ◽

Curved Surface ◽

Surface Model ◽

Dimensional Surface

The research of state-of-the-art bionics shows that teeth, claw and animal surface etc. of a lot of animals obtain perfect geometric shape and biologic-mechanical property after long evolutionary process. The paper was based on the bionic research of the incisor teeth of beaver. The point cloud of the incisor teeth was obtained by Reverse Engineering (RE) technology. And the curved surface of the incisor teeth was re-constructed by RE software to get its three-dimensional surface model. All of those research results will supply the base of bionic study to the optimization of the geometric shape and the mechanical property of cutting tools.

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Proportional Integral Control Approach for Controlling the Temperatures of Multi-Steel Cylinders Barrel in an Injection Molding Machine

Volume 4A: Dynamics, Vibration, and Control ◽

10.1115/imece2015-50612 ◽

2015 ◽

Author(s):

Ma’moun Abu-Ayyad ◽

Tapan Khilnani

Keyword(s):

Injection Molding ◽

Three Dimensional ◽

Surface Model ◽

Process Variables ◽

Molding Machine ◽

Injection Molding Machine ◽

Proportional Integral ◽

Non Linear ◽

Sampling Instant ◽

Dimensional Surface

This work presents a three dimensional prototype of the surface model to demonstrate the working of the controller. The three dimensional surface model is a prototype of the Injection Molding Machine (IMM), wherein the temperature of the system needs to be gradually increased to a very high temperature to melt plastics uniformly, despite the non-linear process. This process tends to be non-linear mainly due to thermal loss, heat transfer between the three cylinders and atmospheric disturbances. This paper presents a unique approach for designing a nonlinear surface model-based for controlling the temperature of multi steel cylinders in an injection molding machine. The innovation of this strategy is that the controller structure uses the nonlinear model to update the process variables at every sampling instant while the closed-loop control is executed. In this work, a new optimization routine will be used to minimize the errors between the model and process outputs. This allows the determination of the system’s variables resulting in a new set of the Proportional Integral (PI) controller parameters with every sampling instant. The most important feature of 3-dimensional surface model control strategy is that it uses the process’ variables to construct the surface model which are used in calculation of the control actions. In the meantime, this surface model is constructed offline by conducting several open-loop tests using different input signals and profiles while the measured output of the process is recorded. From these data, the main dynamic parameters of the process (process gain and time constant) are extracted to construct the surface model. Finally, the control law of the PI approach is updated every sampling instant to counteract the nonlinear effects of the system. In order to achieve a good control response for this process, an accurate model has to be developed to design a robust controller that can follow the reference trajectory and track the setpoint changes smoothly. Also, the model has to be of the adaptive form so that the controller has the ability to reject any disturbances or noisy feedback.

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