Energy Consumption of Feed-Drive Systems That Depends on the Workpiece-Setting Position in a Five-Axis Machining Center

2017 ◽  
Author(s):  
Ryuta Sato ◽  
Yuta Inoue ◽  
Keiichi Shirase ◽  
Akio Hayashi
Keyword(s):  
Energy Consumption ◽  
Minimum Energy ◽  
Numerical Control ◽  
Total Energy Consumption ◽  
Feed Drive ◽  
Machining Center ◽  
Proposed Model ◽  
Energy Consumptions ◽  
Drive Systems ◽  
Five Axis

Energy consumption of numerical control (NC) machine tools is one of the key issues in modern industrial field. This study focuses on reducing the energy consumed by a five-axis machining center by changing only the workpiece-setting position. Previous studies show that the movements along each axis in five-axis machining centers depend on the workpiece-setting position, regardless of whether the same operation is performed. In addition, the energy consumptions required for the movements are different along each axis. From these considerations, an optimum workpiece-setting position that can minimize the energy consumed during these motions is assumed to exist. To verify this assumption, in this study, the energy consumed by the feed drive systems of an actual five-axis machining center is first measured and then estimated using the proposed model in this study. The model for estimating the energy consumption comprises the friction, motor, and amplifier losses along each axis. The total energy consumption can be estimated by adding the energy consumptions along each axis. The effect of the workpiece setting-position on the energy consumption is investigated by employing the cone-frustum cutting motion with simultaneous five-axis motions. The energy consumption that depends on the workpiece-setting position is first measured and then estimated. The results confirm that the proposed model can estimate the energy consumption accurately. Moreover, the energy consumption is confirmed to depend on the workpiece-setting position; the minimum energy consumption is found to be 20% lower than the maximum one.

Energy Consumption of Feed Drive Systems Based on Workpiece Setting Position in Five-Axis Machining Center

2017 ◽  
Vol 140 (2) ◽  
Author(s):  
Ryuta Sato ◽  
Keiichi Shirase ◽  
Akio Hayashi
Keyword(s):  
Energy Consumption ◽  
Minimum Energy ◽  
Numerical Control ◽  
Total Energy Consumption ◽  
Feed Drive ◽  
Machining Center ◽  
Proposed Model ◽  
Energy Consumptions ◽  
Drive Systems ◽  
Five Axis

Energy consumption of numerical control (NC) machine tools is one of the key issues in modern industrial field. This study focuses on reducing the energy consumed by a five-axis machining center by changing only the workpiece setting position. Previous studies show that the movements along each axis in five-axis machining centers depend on the workpiece setting position, regardless of whether the same operation is performed. In addition, the energy consumptions required for the movements are different along each axis. From these considerations, an optimum workpiece setting position that can minimize the energy consumed during these motions is assumed to exist. To verify this assumption, in this study, the energy consumed by the feed drive systems of an actual five-axis machining center is first measured and then estimated using the proposed model in this study. The model for estimating the energy consumption comprises the friction, motor, and amplifier losses along each axis. The total energy consumption can be estimated by adding the energy consumptions along each axis. The effect of the workpiece setting position on the energy consumption is investigated by employing the cone-frustum cutting motion with simultaneous five-axis motions. The energy consumption that depends on the workpiece setting position is first measured and then estimated. The results confirm that the proposed model can estimate the energy consumption accurately. Moreover, the energy consumption is confirmed to depend on the workpiece setting position; the minimum energy consumption is found to be 20% lower than the maximum one.

Dynamic Hybrid Modeling of the Vertical Z Axis in a High-Speed Machining Center: Towards Virtual Machining

2007 ◽  
Vol 129 (4) ◽  
pp. 780-788 ◽  
Author(s):  
Giovanni Tani ◽  
Raffaele Bedini ◽  
Alessandro Fortunato ◽  
Claudio Mantega
Keyword(s):  
High Speed ◽  
Experimental Tests ◽  
Pneumatic System ◽  
Mechanical Structure ◽  
Virtual Machining ◽  
Feed Drive ◽  
Machining Center ◽  
Dynamic Hybrid ◽  
Five Axis ◽  
Machine Head

This paper describes the modeling and simulation of the Z axis of a five axis machining center for high-speed milling. The axis consists of a mechanical structure: machine head and electro-mandrel, a CNC system interfaced with the feed drive, and a pneumatic system to compensate for the weight of the vertical machine head. These subsystems were studied and modeled by means of: (1) finite element method modeling of the mechanical structure; (2) a concentrated parameter model of the kinematics of the axis; (3) a set of algebraic and logical relations to represent the loop CNC-Z feed drive; (4) an equation set to represent the functioning of the pneumatic system; and (5) a specific analytical model of the friction phenomena occurring between sliding and rotating mechanical components. These modeled subsystems were integrated to represent the dynamic behavior of the entire Z axis. The model was translated in a computer simulation package and the validation of the model was made possible by comparing the outputs of simulation runs with the records of experimental tests on the machining center. The firm which promoted and financed the research now has a virtual tool to design improved machine-tool versions with respect to present models, designed by traditional tools.

OPTIMIZING THE PIPELINE DIAMETER OF A CIRCULAR SPRINKLER ACCORDING TO THE MINIMUM ENERGY CONSUMPTION CRITERION

2021 ◽  
pp. 66-71
Author(s):  
NIKOLAY V. TSUGLENOK ◽  
Keyword(s):  
Energy Consumption ◽  
Water Supply ◽  
Electric Drive ◽  
Electric Motor ◽  
Water Distribution ◽  
Minimum Energy ◽  
Operating Conditions ◽  
Total Energy Consumption ◽  
Minimum Energy Consumption ◽  
The Relationship

The authors have determined the conditions for the eff ective use of modern electrifi ed circular sprinklers in the central part of Russia. Their designs are chosen depending on the agrotechnical requirements for irrigation, including the change in the diameter of the water distribution pipeline. However, when the diameter of the pipeline changes, the load on the electric drive of the support trolleys of the sprinkler changes too, which leads to a corresponding change in energy consumption. In turn, this also changes the load of the water supply pump. The paper sets the task of determining the optimal change in the diameter of pipelines according to the criterion of minimum energy consumption, taking into account a number of assumptions. The authors have analyzed the relationship between the change in the load on the electric drive of the sprinkler support trolley and the change in the diameter of one sprinkler section pipeline. It has been found that a decrease in the diameter by 27% (for example, the transition of the diameter of 219 mm to the diameter of 159 mm) leads to a decrease in the load on the electric drive by 38%. However, this also leads to an increase in the head loss in the water supply pump motor and, respectively, to an increase in the load and energy consumption by 0.8…3.8%. The eff ect is initially obvious, but the power of the electric motor of the water supply pump is 10…25 times higher than that of the electric motor of the sprinkler support trolley. Based on the similarity coeffi cients of the irrigation components (water supply and water distribution), the relationship beteween the total energy consumption and the change in the diameter of the water distribution pipeline has been obtained. By diff erentiating the obtained function, the dependence of the value of the optimal diameter for specifi c operating conditions is also obtained. Graphs of the relationship between energy consumption and the change in diameter have been determined, taking into account some restrictions: pump supply, static pressure, and the number of the sprinkler sections.

scholarly journals Use of mechanical resonance in impact machines

2018 ◽  
Vol 211 ◽  
pp. 17006
Author(s):  
Wieslaw Fiebig ◽  
Jakub Wrobel
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Demand ◽  
Drive System ◽  
Mechanical Resonance ◽  
Total Energy Consumption ◽  
At Resonance ◽  
Innovative Method ◽  
Drive Systems

An innovative method exploiting mechanical resonance in machines drive systems, especially useful in impact machines, has been developed. Accumulation of energy at resonance can be applied to the drive system in a similar way as flywheels in eccentric presses. Under resonance conditions, the total energy consumption of the oscillating mass is equal to the energy lost due the damping forces. Energy accumulated in the oscillator can be several times greater than the energy supplied continuously to the oscillator. The developed method can be used in many applications, especially in impacting machines. Finally, the energy demand of resonance punching press will be compared with the energy demand of eccentric press.

scholarly journals A geometric error tracing method based on the Monte Carlo theory of the five-axis gantry machining center

2017 ◽  
Vol 9 (7) ◽  
pp. 168781401770764 ◽  
Author(s):  
Jinwei Fan ◽  
Yuhang Tang ◽  
Dongju Chen ◽  
Changjun Wu
Keyword(s):  
Monte Carlo ◽  
Machine Tool ◽  
Test Piece ◽  
Great Influence ◽  
Numerical Control ◽  
Geometric Errors ◽  
Machining Center ◽  
Machining Errors ◽  
Five Axis ◽  
Tracing Method

This article proposes a tracing method to identify key geometric errors for a computer numerical control machine tool by cutting an S-shaped test piece. Adjacent part relationships and machine tool errors transform relationships are described by topology of the machining center. Global sensitivity analysis method based on quasi-Monte Carlo was used to analyze machining errors. Using this method, key geometric errors with significant influence on machining errors were obtained. Compensation of the key errors was used to experimentally improve machining errors for the S-shaped test piece. This method fundamentally determines the inherent connection and influence between geometric errors and machining errors. Key geometric errors that have great influence on machining errors can be determined quickly with this method. Thus, the proposed tracing method could provide effective guidance for the design and use of machine tools.

scholarly journals Substantiation of the Parameters of a Soil Tillage Machine Ripper

2021 ◽  
Vol 31 (2) ◽  
pp. 257-273
Author(s):  
Yuriy N. Syromyatnikov
Keyword(s):  
Energy Consumption ◽  
Climatic Factors ◽  
Ritz Method ◽  
Minimum Energy ◽  
Soil Layer ◽  
Energy Performance ◽  
Soil Tillage ◽  
Initial Moment ◽  
Total Energy Consumption ◽  
Rotor Drive

Introduction. Production of safe food requires the avoidance of using chemical means to bring weeds under control in cultivating crops. Existing tillage loosening and separating machine PRSM-5 Dokuchaevskaya optimizes the physical and mechanical state of the cultivated soil layer, while the weeds are carefully removed from the soil by combing out together with the whole weed root system and laid on the surface, where they dry up under the influence of climatic factors. During the operation of the tillage machine, about 30% of the total energy consumption is spent on the rotor drive. Therefore, this machine is not working satisfactorily in firm soils. Materials and Methods. The soil was considered as an elastic-plastic medium. The generalized Hookeʼs law model and a variant of the plastic flow theory were taken into account. To simplify the calculations, there was used the experimental study information on the position in space of the soil deformation surface. The intensity of stresses of polyplastic deformations of the soil layer was determined. For the numerical solution of the problem, the Ritz method was used. Results. In connection with the indicated disadvantages, the parameters of the rotor ripper are justified taking into account the reduction in energy consumption for its drive. As a result of solving the problem by the Ritz method, the geometric shape of the rotor ripper was determined. The energy performance of the section of the tillage machine was evaluated by the torque of the rotor drive of the loosening-separating device. The rotor drive torque was determined for rippers with flat, convex, and concave profiles and for the profile substantiated during the study. Discussion and Conclusion. The profile substantiated during the study provides the best conditions for transporting the soil at the initial moment of the rotor entry into the soil and the minimum energy consumption for its drive.

A General Empirical Energy Consumption Model for Computer Numerical Control Milling Machine

2019 ◽  
Vol 141 (2) ◽  
Author(s):  
Yadan Zeng ◽  
Tonghui Li ◽  
Yelin Deng ◽  
Chris Yuan
Keyword(s):  
Experimental Data ◽  
Energy Consumption ◽  
Removal Rate ◽  
Specific Energy Consumption ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Milling Machine ◽  
Cnc Machines ◽  
Proposed Model ◽  
Absolute Residual

Energy consumption of computer numerical control (CNC) machines is significant and various empirical models have been developed to model the specific energy consumption (SEC) of CNC machines. However, most of the models are developed for specific machines and hence have limited applications in manufacturing industry. In this research, a general empirical SEC model for milling machine at certain power level is developed based on actual cutting experimental data. In this model, stand-by power and spindle power are used in the SEC model for the first time. The material removal rate (MRR) is used to represent the cutting parameter. The proposed model is fitted by the regression analysis and validated using experimental data. Results show that the proposed model can be applied on various milling machines with an average absolute residual ratio of 6%. The model is also validated through a series of cutting experiments on a machine center, with an accuracy of 91.5%, for the SEC calculation.

Turning-Milling Machining Center of Each Axis Movement Principle and the Headstock Structure Analysis

2014 ◽  
Vol 912-914 ◽  
pp. 878-881
Author(s):  
Lu Ping Sang
Keyword(s):  
Machine Tool ◽  
Roller Bearing ◽  
Numerical Control ◽  
Control Machine Tool ◽  
Angular Contact Ball Bearing ◽  
Double Row ◽  
Machining Center ◽  
Cylindrical Roller Bearing ◽  
Motor Drive System ◽  
Five Axis

Turning milling machining center are analyzed the structure and working principle of headstock of numerical control machine tool headstock consists of motor, drive system and components of the head of a bed, is mainly used to achieve the main movement of the machine tool. Spindle structure adopts precision double row cylindrical roller bearing and two-way thrust angular contact ball bearing group and type. The machine is the best combination of lathe and milling machine. Configuration French NUM1060 system, realize five axis control, a loading card can complete a variety of difficult machining of complex.

scholarly journals On-Demand Charging Management Model and Its Optimization for Wireless Renewable Sensor Networks

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 384
Author(s):  
Sandrine Mukase ◽  
Kewen Xia ◽  
Abubakar Umar ◽  
Eunice Oluwabunmi Owoola
Keyword(s):  
Energy Transfer ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Energy Level ◽  
Minimum Energy ◽  
Wireless Sensor ◽  
Wireless Energy Transfer ◽  
Total Energy Consumption ◽  
New Strategy ◽  
Wireless Mobile

Nowadays, wireless energy transfer (WET) is a new strategy that has the potential to essentially resolve energy and lifespan issues in a wireless sensor network (WSN). We investigate the process of a wireless energy transfer-based wireless sensor network via a wireless mobile charging device (WMCD) and develop a periodic charging scheme to keep the network operative. This paper aims to reduce the overall system energy consumption and total distance traveled, and increase the ratio of charging device vacation time. We propose an energy renewable management system based on particle swarm optimization (ERMS-PSO) to achieve energy savings based on an investigation of the total energy consumption. In this new strategy, we introduce two sets of energies called emin (minimum energy level) and ethresh (threshold energy level). When the first node reaches the emin, it will inform the base station, which will calculate all nodes that fall under ethresh and send a WMCD to charge them in one cycle. These settled energy levels help to manage when a sensor node needs to be charged before reaching the general minimum energy in the node and will help the network to operate for a long time without failing. In contrast to previous schemes in which the wireless mobile charging device visited and charged all nodes for each cycle, in our strategy, the charging device should visit only a few nodes that use more energy than others. Mathematical outcomes demonstrate that our proposed strategy can considerably reduce the total energy consumption and distance traveled by the charging device and increase its vacation time ratio while retaining performance, and ERMS-PSO is more practical for real-world networks because it can keep the network operational with less complexity than other schemes.

scholarly journals PREDICTION OF ENERGY CONSUMPTION IN THE LEADWELL V-40 IT CNC MACHINING CENTER THROUGH ARTIFICIAL NEURAL NETWORKS

2021 ◽  
pp. 1-5
Author(s):  
Miguel Angel Rodriguez Cabal ◽  
Juan Gonzalo Ardila Marín ◽  
Juan Sebastian Rudas Florez
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Energy Consumption ◽  
Manufacturing Industry ◽  
Cnc Machining ◽  
Machining Processes ◽  
Machining Center ◽  
Artificial Neural ◽  
Five Axis ◽  
Cnc Machining Center

Energy consumption in machining processes has become a problem for today's manufacturing industry. The use of neural networks and optimization algorithms for modeling and prediction of consumption as a function of the cut-off parameters in processes of this type has aroused the interest of research groups. The present work used artificial neural networks (ANN) to predict the energy consumption of a Leadwell V-40iT® five-axis CNC machining center, based on experimental data obtained through a factorial experimental design 53. ANN was programed in Matlab®. From the study was concluded that the depth per pass (Ap) is the variable that has the most influence on the prediction model of energy consumption with a 77% of relative importance, while the feed rate is the least relevant with 9% of importance.

Sign in / Sign up

Export Citation Format

Share Document