scholarly journals A study about energy consumption and cutting fluid used to clutch case machining

2011 ◽  
Vol 12 (5) ◽  
pp. 389-393 ◽  
Author(s):  
Henri-François Boyer ◽  
Jeremy Waremme ◽  
Jean-Luc Bourdiol ◽  
David Delaunay
Author(s):  
Xingzheng Chen ◽  
Congbo Li ◽  
Ying Tang ◽  
Li Li ◽  
Hongcheng Li

AbstractMechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and a large amount of literature have been published. This paper conducts a comprehensive literature review of current studies on energy efficient cutting parameter optimization to fully understand the recent advances in this research area. The energy consumption characteristics of machining process are analyzed by decomposing total energy consumption into electrical energy consumption of machine tool and embodied energy of cutting tool and cutting fluid. Current studies on energy efficient cutting parameter optimization by using experimental design method and energy models are reviewed in a comprehensive manner. Combined with the current status, future research directions of energy efficient cutting parameter optimization are presented.


2021 ◽  
Vol 7 (2) ◽  
pp. 78-87
Author(s):  
Augusto Dttmann ◽  
Jefferson De Oliveira Gomes

Cutting fluid application is a vital technique to achieve the expected result in most machining processes. However, besides having a high cost, the cutting fluid application also represents a risk to the environment due the oil chemical characteristics. The Minimum Quantity Lubrication (MQL) is an alternative when looking for reduction of oil consumption and a more environmentally friendly process. A literature review has shown that many predictive models of machine tool power consumption do not consider the consumption of the required air compressor in MQL. This paper’s motivation was testing these models to predict the energy consumption. It was observed that the amount of consumed energy in the cutting is lower when compared to the consumption of basic components of the machining center in both cases. Using the MQL, the tool life showed a decrease. However, it allows the feed to increase and reduces the energy consumption.


2016 ◽  
Vol 686 ◽  
pp. 252-256
Author(s):  
Michal Bachraty ◽  
Marian Tolnay ◽  
Pavel Kovač ◽  
Vladimir Pucovsky

In this paper an experiment was carried out to examine the magnitude of differences among cutting fluids and their influence on lathe power consumption during machining. It was discovered that there is no universal cutting fluid. An attempt was made to study the possibility of Artificial Neural Network to model the behavior function for all cutting fluids. This could be used as a foundation for later database building where it would be possible to predict how certain cutting fluid will behave in a specific machining parameter combination.


Author(s):  
Ganesh Bharambe ◽  
Prakash Dabeer ◽  
Kumar Digambar Sapate ◽  
Suresh M. Sawant

Processing of metals in industries is lifeline of economy of country, which helps to shape the country. Energy saving in this process is attributed to both the parts ie process of machining and energy consumed in machine tools itself. The process of material removal had experienced lot of improvements in last few decades. This consists of developments in pre-machining processes, metal cutting methods and developments in cutting theories and cutting tools. Cutting fluid is one of challenging field to yield more favourable results. Manufacturing practices beyond its existing limits, process and machine automations, using the previous data for improving machinabilities, optimizing through relative benchmarks (a market driven schemes) shall lead the manufacturing speed to a new high. Adaptibility of manufacturing set up to absorb new requirement will also be a controlling factor for acceleration of manufacturing processes. This paper discusses the efforts to reduce the energy to produce a product. Various methods are discussed to minimize the energy consumed for driving the machine components such as spindle, feeding device, lubricating system, cutting fluid system, indexing and tooling management, speed and feed controlling devices etc. Different requirements such as friction energy in braking action, speed reducing or cushioning will also consume certain amount of energy during its operations. Therefore one has to understand the various types of energy flows and classification of energy forms used from place to place. Study of constructional features of machines brings a lot of opportunities for savings in energy. The concepts of material handling, fluid handling like hydraulic and pneumatic circuits, lubrication system, shall also provide the opportunities for savings in energy consumption. Energy used for working of accessories whether they are required at that particular moments needs to be considered from time to time. There are few more methods for locating the chances for arresting the energy wastages and reducing specific energy consumption referring a particular process or function. Previous data generated for similar functions can be referred for comparison and efforts can be added to reduce the requirement of energy. Efficient and effective utilization of equipment shall open a fresh path for finding the energy reductions. Sustainability of machining processes can be ensured for future using the lean energy utilizations for productions. Authors have explained the live cases to demonstrate reduction in energy consumption. Few potential guidelines are also narrated in this line. Further few cases are discussed from literature survey which support and will help to pursue the target.


Author(s):  
Shahzeen Z. Attari ◽  
Michael L. DeKay ◽  
Cliff I. Davidson ◽  
Wandi Bruine de Bruin

1982 ◽  
Vol 61 (7-8) ◽  
pp. 42
Author(s):  
Geoff Rowe
Keyword(s):  

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Shunquan Huang ◽  
Siqin Yu ◽  
Zhongmin Liu

2020 ◽  
Vol 39 (4) ◽  
pp. 5449-5458
Author(s):  
A. Arokiaraj Jovith ◽  
S.V. Kasmir Raja ◽  
A. Razia Sulthana

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.


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