Analysis of Energy Consumption in CNC Machining Centers and Determination of Optimal Cutting Conditions

2013 ◽  
pp. 227-232 ◽  
Author(s):  
Maria Luisa Calvanese ◽  
Paolo Albertelli ◽  
Andrea Matta ◽  
Marco Taisch
Keyword(s):  
Energy Consumption ◽  
Cnc Machining ◽  
Cutting Conditions

Optimization of Cutting Conditions in Multi-Pass Milling

2016 ◽  
Vol 823 ◽  
pp. 525-530
Author(s):  
Abderrahim Belloufi ◽  
Mekki Assas ◽  
Mabrouk Hecini ◽  
Imane Rezgui
Keyword(s):  
Hybrid Genetic Algorithm ◽  
Cutting Parameters ◽  
Cutting Conditions ◽  
Optimum Number ◽  
Optimization Strategy ◽  
Milling Operations ◽  
Optimal Values ◽  
Number Of Passes ◽  
Fine Tune

In this paper, a new, optimization strategy is used for the determination of the optimum cutting parameters for multipass milling operations. This strategy is based on the “minimum production time” criterion. The optimum number of passes is determined via dynamic programming, and the optimal values of the cutting conditions are found based on the objective function developed for the typified criterion by using a hybrid genetic algorithm with SQP. GA is the main optimizer of this algorithm, whereas SQP is used to fine-tune the results obtained from the GA. Furthermore, the convergence characteristics and robustness of the proposed method have been explored through comparisons with results reported in literature. The obtained results indicate that the proposed strategy is effective compared to other techniques carried out by different researchers.

Modeling the Vibratory Drilling Process

1999 ◽  
Author(s):  
Stephen A. Batzer ◽  
Alexander M. Gouskov ◽  
Sergey A. Voronov
Keyword(s):  
Rotational Velocity ◽  
Time Lag ◽  
Chip Thickness ◽  
Cutting Conditions ◽  
Model Parameters ◽  
Drilling Process ◽  
Workpiece Material ◽  
Velocity Amplitude ◽  
The Stability

Abstract The dynamic behavior of deep-hole vibratory drilling is analyzed. The mathematical model presented allows the determination of axial tool and workpiece displacements and cutting forces for significant dynamic system behavior such as the entrance of the cutting tool into workpiece material and exit. Model parameters include the actual rigidity of the tool and workpiece, time-varying chip thickness, time lag for chip formation due to tool rotation and possible disengagement of drill cutting edges from the workpiece due to tool and/or workpiece axial vibrations. The main features of this model are its nonlinearity and inclusion of time lag differential equations which require numeric solutions. The specific cutting conditions (feed, tool rotational velocity, amplitude and frequency of forced vibrations) necessary to obtain discontinuous chips and reliable removal are determined. The stability conditions of excited vibrations are also investigated. Calculated bifurcation diagrams make it possible to derive the domain of system parameters along with the determination of optimal cutting conditions.

Temperature during the vibration-assisted compression of alfalfa

BioResources ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 141-150
Author(s):  
Xiaoyu Wu ◽  
Shuai Yang ◽  
Chundong Song ◽  
Kun Ding ◽  
Chuanzhong Xuan ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Vibration Frequency ◽  
Experimental Results ◽  
Maximum Temperature ◽  
Compression Time ◽  
Vibration Parameters ◽  
Reducing Energy ◽  
Compression Temperature

Compression of alfalfa into briquettes is an effective way to solve the problem of storage and transportation. In the process of compression, heat is generated and the temperature is raised in the material. In fact, the appropriate temperature can improve the quality of alfalfa briquettes and reduce the energy consumption of densification. In this study, the effect of assisted vibration on the compression temperature was tested. The results showed that when the vibration frequency was below 15 Hz, the temperature at the center and side in compressed alfalfa increased slowly with compression time. When the vibration frequency was above 20 Hz, it increased first and then decreased with the increase of time. Moreover, the maximum temperature value increased remarkably when the frequency was above 20 Hz. In the same vibration frequency and compression time, the center temperature in the compressed alfalfa was higher than the side temperature. The experimental results provide a reference for the determination of reasonable vibration parameters, and explanation of the effect of vibration on reducing energy consumption.

MNVPCS: Multinode Virtual-Point–Based Charging Scheme to Prolong the Lifetime of Wireless Rechargeable Sensor Networks

2019 ◽  
Vol 63 (2) ◽  
pp. 283-294
Author(s):  
Hong-Yi Chang ◽  
Zih-Huan Hang ◽  
Yih-Jou Tzang
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Experimental Results ◽  
Sensor Nodes ◽  
Wireless Charging ◽  
Mobile Wireless ◽  
Wireless Rechargeable Sensor Networks ◽  
Virtual Point ◽  
Over Time

Abstract Wireless-charging technology can utilize a mobile wireless charging vehicle (WCV) to rescue dying nodes by supplementing their remaining energy, and using WCVs in this way forms wireless rechargeable sensor networks (WRSNs). However, a WCV in a WRSN encounters several challenges, collectively called the optimized charging problem. This problem involves a set of sensor nodes randomly distributed on the ground for which the WCV must determine an appropriate travel path to charge the sensor nodes. Because these sensor nodes have different workloads, they exhibit different energy consumption profiles over time. Resolving the above-mentioned problem requires the determination of the priority of charging the sensor nodes based on the order in which they are expected to die and subsequently finding the most efficient path to charge the sensor nodes such that sensor death is avoided for as long as possible. Furthermore, the most efficient placement of the charging point needs to be considered when planning the charging path. To address this, the proposed multinode virtual point-based charging scheme (MNVPCS) considers both the planning of an efficient charging and the best location for the charging point. Experimental results show that MNVPCS can improve the lifetime of the entire WRSN and substantially outperform other methods on this measure.

scholarly journals Research on the relative productivity of a drum mill type SAG 8.5×5.3

2020 ◽  
Vol 168 ◽  
pp. 00012
Author(s):  
Ivan Minin
Keyword(s):  
Energy Consumption ◽  
Control Parameters ◽  
Operational Mode ◽  
Operational Parameters ◽  
Technological Parameters ◽  
Expected Performance ◽  
Relative Productivity ◽  
Required Quality

The determination of the optimal operational mode of drum mills can be assessed by different criteria. The most important of them can be formulated as follows: “To be specified and established the values of the mill operational parameters regarding to which it is possible to be provided the user’s expected performance at the required quality of the final product and the same to be achieved at minimal energy consumption”. For the fulfillment of this condition, there has to be determined the laws of productivity variation, the final product quality and the energy consumption in function of the adequately chosen representative control parameters of the mill. There are obtained mathematical models, describing the most important technological parameters of the machine and are made conclusions about the factors influencing on them.

scholarly journals Annual Variation in Energy Consumption of an Electric Vehicle Used for Commuting

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4639 ◽  
Author(s):  
Anatole Desreveaux ◽  
Alain Bouscayrol ◽  
Elodie Castex ◽  
Rochdi Trigui ◽  
Eric Hittinger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Experimental Measurement ◽  
Air Conditioning ◽  
Annual Variation ◽  
Accurate Determination ◽  
Driving Cycle ◽  
Simulation Tool ◽  
Real Vehicle

The energy consumption of an electric vehicle is primarily due to the traction subsystem and the comfort subsystem. For a regular trip, the traction energy can be relatively constant but the comfort energy has variation depending on seasonal temperatures. In order to plan the annual charging operation of an eco-campus, a simulation tool is developed for an accurate determination of the consumption of an electric vehicle throughout year. The developed model has been validated by comparison with experimental measurement of a real vehicle on a real driving cycle. Different commuting trips are analyzed over a complete year. For the considered city in France (Lille), the comfort energy consumption has an overconsumption up to 33% in winter due to heating, and only 15% in summer due to air conditioning. The urban commuting driving cycle is more affected by the comfort subsystem than extra-urban trips.

scholarly journals A combination method of the theory and experiment in determination of cutting force coefficients in ball-end mill processes

2015 ◽  
Vol 2 (4) ◽  
pp. 233-247 ◽  
Author(s):  
Yung-Chou Kao ◽  
Nhu-Tung Nguyen ◽  
Mau-Sheng Chen ◽  
Shyh-Chour Huang
Keyword(s):  
Cutting Force ◽  
Experimental Method ◽  
Linear Function ◽  
Cutting Forces ◽  
Cutting Conditions ◽  
End Mill ◽  
Ball End Mill ◽  
Cutting Force Coefficients ◽  
Force Coefficients

Abstract In this paper, the cutting force calculation of ball-end mill processing was modeled mathematically. All derivations of cutting forces were directly based on the tangential, radial, and axial cutting force components. In the developed mathematical model of cutting forces, the relationship of average cutting force and the feed per flute was characterized as a linear function. The cutting force coefficient model was formulated by a function of average cutting force and other parameters such as cutter geometry, cutting conditions, and so on. An experimental method was proposed based on the stable milling condition to estimate the cutting force coefficients for ball-end mill. This method could be applied for each pair of tool and workpiece. The developed cutting force model has been successfully verified experimentally with very promising results. Highlights By investigation of the stable cutting conditions in milling process, the linear function of average cutting force and feed per flute was successfully verified. A combined theoretical-experimental method was proposed with an effective model for the determination of cutting force coefficients in ball-end mill process.

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