Energy modeling and a method for reducing energy loss due to cutting load during machining operations

2018 ◽  
Vol 233 (3) ◽  
pp. 699-710 ◽  
Author(s):  
Jingxiang Lv ◽  
Tao Peng ◽  
Renzhong Tang
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Energy Loss ◽  
Power Loss ◽  
Numerical Control ◽  
Mechanical Transmission ◽  
Significant Saving ◽  
Cutting Power ◽  
Machining Operations ◽  
Reducing Energy

In a typical part manufacturing system, machining operations represent a major proportion of the total energy consumption. The energy consumption (in the form of electricity power) of a machining operation can be divided into four types, that is, standby power, operational power, cutting power and power loss due to cutting load. Power loss due to cutting load includes the power loss caused by the friction of mechanical transmission and the power lost in the motor when the cutting load is applied to the spindle system. While the first three types of power consumption have been studied intensively by previous researchers, the power loss due to cutting load, which accounts for up to 20% of the cutting power consumption during machining operations, has received relatively less attention. This article proposes a novel model to characterize power loss due to cutting load, in which the power lost in the mechanical transmission and in the spindle motor are analyzed and modeled separately. Cutting tests have been carried out to validate the proposed model using two numerical control lathe machines. And a method has been developed for reducing energy loss caused by cutting load, which includes cutting force prediction, power loss due to cutting load prediction and decision making. The method was evaluated through its application in the process design for a shaft part, and the results show a significant saving of up to 70.8% of energy loss caused by cutting load.

Design for Low Power Loss HART Transducer

2012 ◽  
Vol 468-471 ◽  
pp. 891-894
Author(s):  
Lin He ◽  
Kun Ning Jia ◽  
Zun Qiang Fan
Keyword(s):  
Energy Loss ◽  
Low Power ◽  
Power Loss ◽  
Reducing Power ◽  
Transducer Design ◽  
System Requirements ◽  
Reducing Energy

Low power loss is the key of loop powered transducer design. The methods for reducing power loss are discussed in this paper. By selecting the appropriate device, and ultimately achieve the purpose of reducing energy loss. By the measured, the design fully meets the system requirements.

Multi-Block Gray Statistics Local Dimming Algorithm

2013 ◽  
Vol 321-324 ◽  
pp. 503-506
Author(s):  
Lei Zhang ◽  
Guo Qiang Lv ◽  
Fen Liu ◽  
Xi Tiao Zhang
Keyword(s):  
Energy Consumption ◽  
Image Quality ◽  
Power Consumption ◽  
Contrast Ratio ◽  
Control Signal ◽  
Image Block ◽  
Simulation Results ◽  
Local Dimming ◽  
Reducing Energy

Multi-block gray statistics local dimming algorithm is proposed to automatically control the brightness of the backlight for reducing energy consumption and enhancing the image quality. The large blocks are used to determine the value of backlight matrix and small blocks are to determine the image block brightness. With the use of BMA (Blur-mask approach) to blur the backlight brightness matrix and compensate LCD control signal, local dimming function is realized.The simulation results show that: for pictures, the average backlight power consumption is decreased markedly by 19.9% and the contrast ratio is increased by 53%.

Research on Optimization for Pneumatic System’s Air Supply

2010 ◽  
Vol 34-35 ◽  
pp. 836-840
Author(s):  
De Wen Kong ◽  
Mao Lin Cai ◽  
Tie Yuan Sun
Keyword(s):  
Energy Consumption ◽  
Energy Loss ◽  
Energy Saving ◽  
Supply System ◽  
Air Pressure ◽  
Air Power ◽  
Air Supply ◽  
Practical Program ◽  
Air Compressors ◽  
Reducing Energy

In this paper, based on the new concept air power of pneumatic system’s energy consumption, we proposed series of practical program to optimize the air supply system. This program discussed a method of how to keep air pressure stable and how to make the amount of air compressors to match the real-time air consumption after using different air pressure for different devices, thus reducing energy loss of air supply system and energy consumption of air compressor group. The result of present work implied that this program achieved the desired effect of energy saving and provided a reference for energy-saving pneumatic system’s design.

scholarly journals VMS Mean and Minimum Utilization VM Selection Algorithm for Cloud Datacenter

2020 ◽  
Vol 8 (5S) ◽  
pp. 63-67
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Selection Algorithm ◽  
Algorithm Efficiency ◽  
Internet Connection ◽  
On Demand ◽  
Host Machine ◽  
Cloud Datacenter ◽  
Vm Consolidation ◽  
Reducing Energy

Cloud datacenter provides the various resources on-demand for the end consumers on pay-per-use through internet connection. The request for computing resources has increased which leads to the growth of power consumption inside datacenters. The major challenge is how to balance the profits by decreasing the consumption of energy and violation of SLA. VM Consolidation techniques helps VMs to migrate between the host machines in reducing energy consumption, but again which VM to select for migration between the host machine is again the challenging task. In this paper VMs Mean and Minimum Utilization VM Selection Algorithm is proposed.To select the suitable VM’s in host machine for the migration, VMs Mean method is used which finds the lowest CPU utilizing VM. To test this algorithm CloudSim Toolkit is been used. The parameter such as EC, SLAV, PDM, ESV, VM migration and SLATAH is used as a metric to evaluate the Algorithm efficiency.

A Study on Energy Consumption of a CNC Milling Machine Based on Cutting Force Model

2014 ◽  
Vol 800-801 ◽  
pp. 782-787
Author(s):  
Yue Meng ◽  
Li Hui Wang ◽  
Xue Feng Wu ◽  
Xian Li Liu ◽  
Guang Xu Ren
Keyword(s):  
Energy Consumption ◽  
End Milling ◽  
Force Model ◽  
Milling Machine ◽  
Cnc Milling ◽  
Cutting Power ◽  
Cnc Milling Machine ◽  
Milling Operation ◽  
The Mean ◽  
Machining Operations

Machining operations are performed by machine tools with a large amount of energy consumed for material removal. Understanding and characterizing the energy consumption is essential to explore the potential of energy-saving in energy-efficient machining. For this purpose, this paper proposes a method for modeling energy consumption of end milling operation which is based on cutting theory. The cutting power model is verified with experiments on a CNC milling machine. According to the calculated and experimental results, it is clear that the theoretical prediction can predict the mean cutting power successfully as validated by actual measurements.

A Hybrid Swarm Optimization Algorithm For Reducing Energy Consumption In The Cloud

2018 ◽  
Vol 11 ◽  
Author(s):  
Mohammed Mostafa Abdulghafoor ◽  
Raed Abdulkareem Hasan ◽  
Zeyad Hussein Salih ◽  
Hayder Ali Nemah Alshara ◽  
Nicolae Tapus
Keyword(s):  
Energy Consumption ◽  
Optimization Algorithm ◽  
Hybrid Swarm ◽  
Swarm Optimization ◽  
Reducing Energy

scholarly journals Bibliometric Analysis of Specific Energy Consumption (SEC) in Machining Operations: A Sustainable Response

2021 ◽  
Vol 13 (10) ◽  
pp. 5617
Author(s):  
Raman Kumar ◽  
Sehijpal Singh ◽  
Ardamanbir Singh Sidhu ◽  
Catalin I. Pruncu
Keyword(s):  
Energy Consumption ◽  
Bibliometric Analysis ◽  
Specific Energy ◽  
Specific Energy Consumption ◽  
Primary Data ◽  
Data Content ◽  
Author Keywords ◽  
Link Strength ◽  
Inclusive Analysis ◽  
Machining Operations

This paper’s persistence is to make an inclusive analysis of 268 documents about specific energy consumption (SEC) in machining operations from 2001 to 2020 in the Scopus database. A systematic approach collects information on SEC documents’ primary data; their types, publications, citations, and predictions are presented. The VOSviewer 1.1.16 and Biblioshiny 2.0 software are used for visualization analysis to show the progress standing of SEC publications. The selection criteria of documents are set for citation analysis. The ranks are assigned to the most prolific and dominant authors, sources, articles, countries, and organizations based on the total citations, number of documents, average total citation, and total link strength. The author-keywords, index-keywords, and text data content analysis has been conducted to find the hotspots and progress trend in SEC in machining operations. The most prolific and dominant article, source, author, organization, and country are Anderson et al. “Laser-assisted machining of Inconel 718 with an economic analysis”, the Int J Mach Tools Manuf, Shin Y.C., form Purdue University Singapore, and United States, respectively, based on total citations as per defined criteria. The author keywords “specific cutting energy” and “surface roughness” dominate the machining operations SEC. SEC’s implication in machining operations review and bibliometric analysis is to deliver an inclusive perception for the scholars working in this field. It is the primary paper that utilizes bibliometric research to analyze the SEC in machining operations publications expansively. It is valuable for scholars to grasp the hotspots in this field in time and help the researchers in the SEC exploration arena rapidly comprehend the expansion status and trend.

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