Optimization on Control Time Sequence of Double-Pump Hydraulic System of Concrete Pump

2013 ◽  
Vol 437 ◽  
pp. 728-733
Author(s):  
Hai Bo Xie ◽  
Jian Chen ◽  
Hua Yong Yang ◽  
Zhi Bin Liu ◽  
Yu Zhen ◽  
...  

This research mainly investigates the control time sequence in the open circuit double-pump hydraulic system of the concrete pump. The control time sequence is the electrical signals given to the two pumps and the pilot valves of the two main valves. Under the signals’ control, the valves are switched and the flowrate of the two pumps becomes low during the valve switch in order to save energy and reduce the impact pressure. According to the actual hydraulic components, the simulation models about two main hydraulic circuits which are pumping circuit and distributing circuit including directional valves, the pump with the function of constant power control with pressure cut-off and electrical stroke limiter, the two pumping cylinders with cushion structure and distributing structure are developed with software AMESim. On the basis of the two circuits model, an integrated simulation model is developed. Having been validated by the pumping water experiment, the simulation model is used to simulate different control time sequence. Based on the analysis of these simulation results, a proper control time sequence which ensures the pumping system has higher pumping efficiency and longer cylinder stroke is achieved.

2019 ◽  
Vol 18 (1) ◽  
pp. 30-41
Author(s):  
A. M. Gareyev ◽  
I. A. Popelnyuk ◽  
D. M. Stadnik

А method based on comparing oscilloscope patterns of operational parameters with reference curves is one of the most promising methods of diagnosing hydraulic systems among the existing ones. Its implementation does not allow accurate localization of the faulty unit in the system and quantitative estimation of the magnitude of the fault. To eliminate these shortcomings, it is advisable to use simulation models of hydraulic units, taking into account typical faults of a hydraulic system. Their use makes it possible to evaluate the effect of a particular malfunction on the change of dynamic parameters at the stage of mathematical modeling. As a result of the analysis of statistical information and literary sources, characteristic faults of hydraulic systems are identified. Their causes and the impact on the operation of hydraulic units are examined. Simulation models of units taking into account typical faults are described in the Matlab / Simscape software package. They are implemented using a typical hydraulic system as an example. Dynamic characteristics of a hydraulic system in a healthy condition and those of a system with one of the characteristic faults are compared.


2015 ◽  
Vol 72 (4) ◽  
Author(s):  
Erma Suryani ◽  
Rully Agus Hendrawan ◽  
Umi Salama ◽  
Lily Puspa Dewi

Several studies have been conducted regarding save energy in consuming the electricity through the simple changes in routines and habits. In the case of electricity consumption, consumer behavior might influenced by several factors such as consumer profession, season, and environmental awareness. In this paper, we developed an Agent Based Model (ABM) to analyze the behavior of different agents in consuming the electricity energy for each type of profession (agent) as well as their interaction with the environment. This paper demonstrates a prototype agent based simulation model to estimate the electricity consumption based on the existing condition and some scenarios to reduce the electricity consumption from consumer point of view. From the scenario results, we analyzed the impact of the save energy to increase the electrification ratio. 


2014 ◽  
Vol 908 ◽  
pp. 320-325
Author(s):  
Wan Rong Wu ◽  
Zhen Wen Mao

According to the working principle of open hydraulic system in concrete pump, and though the theoretical analysis on the phenomenon of hydraulic impact in direction changing process, it concluded that the impact pressure has a linear relation with the displacement of the main oil pump .To solve the hydraulic impact problem ,a variable displacement method was proposed .Under the requirement of piston not striking the bottom of cylinder and piston stroke control accuracy ,the authors optimized the pumping direction changing process time parameters and the displacement control time parameters . Though the AMESim modeling simulation and experimental study , the variable displacement control method is proved feasible on reducing the hydraulic impact in direction changing process.


2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Qiwei Lai ◽  
Liang Liang ◽  
Jing Li ◽  
Shijing Wu ◽  
Jun Liu

As an indispensable actuator, the hydraulic cylinder has widespread industrial applications in mechanical engineering. The cushion characteristics of hydraulic cylinder directly affect its performance and reliability, especially the one utilized in hydraulic system with fast response, high flow rate, and instantaneous super power. In order to analyze the cushion characteristics, three different simulation models are established. Furthermore, experiments concerning the pressure characteristics of hydraulic cylinder are accomplished to verify the validation of simulation models. It was found that the integrated simulation model had the highest precision and CFD model showed better pattern of cushion process compared with other models. On the basis of the integrated simulation model, plunger structure and key structural parameters were studied in detail with optimal schemes given. The conical structure, proper design of the diameter of cushion hole, and length of plunger turned out to be effective in promoting the cushion performance. The proposed simulation models and research of cushion structure have scientific and engineering value to promote the innovative development of hydraulic cylinder.


2014 ◽  
Vol 32 (30_suppl) ◽  
pp. 132-132
Author(s):  
Ranganath K. Iyer ◽  
Joseph Rodgers Steele ◽  
Habib Tannir ◽  
Steve Venable

132 Background: Patients scheduled to undergo computed tomography (CT) should be treated expeditiously and not delayed owing to a lack of either CT scanner capacity or available staff. Delayed scanning affects both patients and staff in several ways. First, patients are unhappy that they have to wait. Also, delayed scanning makes patient late for their next appointments or other events, which affects the downstream departments’ capability to operate effectively and efficiently. In addition, radiologists and their staff have to commit additional time and resources to processing patients on time. Finally, variability in the placement of patients reduces the scanner’s operating efficiency. The aim of this initiative is to optimize the appointment template using simulation software to reduce the rate of delayed CT procedures by 25% or more by the end of 2014. Methods: To further understand the CT queuing process, we hired 2 graduate students to create a simulation model using the data collected from the operations study. The simulation study modeled patients’ experience from their arrival to discharge and the steps were: (a) performed elemental analysis for each process; (b) cceated value stream map; (c) created high-level simulation model and “mini model” using operational data. The simulation models were presented to department leaders, who approved them. The models clearly showed that the time patients spent on the CT scanner was the bottleneck. Results: Changes in the CT area that have impacted on-time starts and average wait time include: (a) new fast-track for no interview patients and (b) changes in staffing hours. Progress and improvement include (a.) On-time delays decreased by 18% and (b.) a verage wait decreased by 8 minutes (19%). Conclusions: Discrete event simulation accounts for the probabilities and uncertainties associated with the processes and helps create a visual model of the work area. This adds confidence to decision makers’ ability to make decisions that have high impact. Also, the models can be used to test changes in the processes and study the impact on other processes without making true operational changes that could potentially waste resources and time.


2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Daniel Honsel ◽  
Verena Herbold ◽  
Stephan Waack ◽  
Jens Grabowski

AbstractTo guide software development, the estimation of the impact of decision making on the development process can be helpful in planning. For this estimation, often prediction models are used which can be learned from project data. In this paper, an approach for the usage of agent-based simulation for the prediction of software evolution trends is presented. The specialty of the proposed approach lies in the automated parameter estimation for the instantiation of project-specific simulation models. We want to assess how well a baseline model using average (commit) behavior of the agents (i.e., the developers) performs compared to models where different amount of project-specific data is fed into the simulation model. The approach involves the interplay between the mining framework and simulation framework. Parameters to be estimated include, e.g., file change probabilities of developers and the team constellation reflecting different developer roles. The structural evolution of software projects is observed using change coupling graphs based on common file changes. For the validation of simulation results, we compare empirical with simulated results. Our results showed that an average simulation model can mimic general project growth trends like the number of commits and files well and thus, can help project managers in, e.g., controlling the onboarding of developers. Besides, the simulated co-change evolution could be improved significantly using project-specific data.


2011 ◽  
Vol 317-319 ◽  
pp. 2398-2403 ◽  
Author(s):  
Hai Bo Xie ◽  
Shu Yong Lin ◽  
Hua Yong Yang ◽  
Yu Zhen ◽  
Jin Zhang

Currently when the domestic concrete pump is pumping, the piston of master cylinder may hit the cylinder or not travel enough displacement; the travelling rules in different conditions have been not found yet. In this paper, an open circuit hydraulic control system is researched by simulation software AMESim, pumping circuit and dividing circuit of the system are modeled and simulated. The simulation results are compared with experimental results to illustrate the accuracy of the modeling. Then the relationship between travelling displacement of the piston and the factors, such as location of trigger port, different diameter of damping u-tube, is analyzed. In the end, a set of reasonable design parameters of the hydraulic system is proposed.


2020 ◽  
Author(s):  
Vangimalla Reddy ◽  
Mura Jyostna Devi

<p>Environmental stress factors have far‐reaching implications on global food security and significantly impact crop production through their effects on soil fertility, carbon sequestration, plant growth, and productivity.  Several approaches have been used to assess the effects of environmental stress factors on crops and to evaluate possible solutions. One such approach is the use of crop simulation models to explore the impact of climate stresses on crop plants will be discussed in this presentation, to provide a more accurate understanding of climate change effects on agriculture in the coming decades. Crop models, based on appropriate concepts and processes, have the predictive capability under new environments and can be used either alone or with other emerging newer technologies to disseminate plant growth and development information. Crop models such as GOSSYM, a cotton simulation model was used to evaluate crop responses to factors such as weather, irrigation, and fertilization by simulating the growth and production of crops from planting to harvest. The presentation also discusses the SPAR (Soil-Plant-Atmosphere Research) system to generate data required to understand various facets of growth and developmental processes and to build process-level models for managing the cotton crop to abiotic stresses. The SPAR units are optimized for the measurement of a plant and canopy-level physiological responses such as photosynthesis and transpiration under precisely controlled, but naturally lit, environmental conditions and to relate the basic processes directly to the environment. Various validation efforts of the GOSSYM cotton simulation model and its uses in multiple applications such as climate change impacts, technology transfer, hypothesis testing in research, farm management, and policymaking decisions will be discussed.</p>


2016 ◽  
Vol 38 (1) ◽  
pp. 179-200 ◽  
Author(s):  
Paweł Pawlewski ◽  
Małgorzata Jasiulewicz-Kaczmarek ◽  
Tomasz Bartkowiak ◽  
Patrycja Hoffa-Dabrowska

Abstract The main objective of the article is to present the methodology of validating a simulation model of failures of serial production line. In case of the investigated object, the simulation model was tested to find technological solutions which could compensate for the impact of failures on the operation of important objects present on the line before a failures occurs. A possible solution may be to introduce a new buffer or to adjust the size of existing buffers. Validation is one of the most significant stages in the process of constructing simulation models, as it concerns the credibility of the model. The article presents the use of disturbances modeling, especially breakdowns and micro-stoppages, in the simulation model. It also shows the statistical distribution applied in the model and defines the validation measurement instrument as well as evaluation criteria. All these features are the major strengths of the article.


2018 ◽  
Author(s):  
Raimundo J. C. Ferro Junior ◽  
Thayanne F. Da Silva ◽  
João P. B. Andrade ◽  
Gustavo A. L. De Campos

Agent-based simulations can be used to study and formulate evacuation plans, however the traditional simulation models for this context are not suitable for daycare and school settings where the population of these settings has unique physical and behavioral characteristics. This paper proposes a simulation model based on classroom evacuation agents from daycare centers that takes into account the physical and behavioral characteristics of the students and that is able to provide data to evaluate the impact of teachers’ behavior in the evacuation process. The model was built using the Netlogo tool, using as basis the structures of the Brazilian classroom environment and using data from the literature on human behavior. The tests were performed in different settings of parameters for environment, population, student behavior and evacuation strategies. The experiments showed that the model was able to reproduce results consistent with the expected values and scenarios described in the literature, as well as being an effective tool to evaluate the impact of teacher behavior in the evacuation process, especially in rooms where students have a high degree of dependency.


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