scholarly journals Optimal workpiece orientation to reduce the energy consumption of a milling process

2015 ◽  
Vol 2 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Gianni Campatelli ◽  
Antonio Scippa ◽  
Lorenzo Lorenzini ◽  
Ryuta Sato
Keyword(s):  
Energy Consumption ◽  
Milling Process ◽  
Workpiece Orientation

Energy consumption modeling and prediction of the milling process: A multistage perspective

2016 ◽  
Vol 232 (11) ◽  
pp. 1973-1985 ◽  
Author(s):  
Chaoyong Zhang ◽  
Zhiheng Zhou ◽  
Guangdong Tian ◽  
Yang Xie ◽  
Wenwen Lin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Energy Consumption ◽  
Gene Expression Programming ◽  
Milling Process ◽  
Quadratic Model ◽  
Neighborhood Search ◽  
Accurate Estimation ◽  
Modeling And Prediction ◽  
Prediction Approach ◽  
Energy Consumption Modeling

In order to provide an accurate estimation of energy consumption, this work proposes a novel energy consumption modeling and prediction approach for a milling process from a multistage perspective. Based on its work stages, each stage’s energy consumption model is established by sliding filter, multiple linear regression, and improved gene expression programming (variable neighborhood search–based gene expression programming) methods and then the total energy consumption is predicted through their combination. A case study is given to illustrate the proposed model and its effectiveness. Compared with the full quadratic model, which can fully consider the interaction between cutting factors, the proposed method can achieve the higher accuracy to predict the energy consumption of the milling process.

scholarly journals Assessment of cutting machine energy consumption on the example of the VF-7/50 vertical milling center

Mechanik ◽  
2019 ◽  
Vol 92 (10) ◽  
pp. 620-622
Author(s):  
Wojciech Borkowski ◽  
Paweł Piórkowski ◽  
Wacław Skoczyński ◽  
Marek Piórkowski ◽  
Andrzej Roszkowski
Keyword(s):  
Energy Consumption ◽  
Machine Tool ◽  
Energy Intensity ◽  
Milling Process ◽  
Cutting Machine ◽  
Vertical Milling

The assessment of the energy intensity of the VF-7/50 vertical milling center is presented. A study was carried out to collect data on the machine’s demand for electricity. A dependence was developed on the basis of which the energy intensity of the machine tool can be determined in the milling process. The results were verified experimentally.

Improvement of enzymatic digestibility of wood by a sequence of optimized milling procedures with final vibratory tube mills for the amorphization of cellulose

Holzforschung ◽  
2018 ◽  
Vol 72 (6) ◽  
pp. 435-441 ◽  
Author(s):  
Jinwu Wang ◽  
Johnway Gao ◽  
Kristin L. Brandt ◽  
Jinxue Jiang ◽  
Yalan Liu ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Enzymatic Hydrolysis ◽  
Total Energy ◽  
Milling Process ◽  
High Potential ◽  
Tube Mill ◽  
Wood Cellulose ◽  
Enzymatic Digestibility ◽  
Total Energy Consumption

AbstractA three-stage wood milling process was investigated leading to coarse, fine and amorphization of milled wood (MW) as a pretreatment for enzymatic wood hydrolysis. An eccentric vibratory tube mill (EVTM) and a spring suspended vibratory tube mill (SSVTM) were found to be suitable for wood cellulose amorphization. Both methods gave rise to highly digestible and amorphous wood powders amenable to enzymatic hydrolysis. The SSVTM had superior energy efficiency. The resulting MW afforded a 70% sugar yield via enzymatic hydrolysis and the total energy consumption was around 1.5 kWh kg−1oven-dried wood (odW) for all three milling stages. In contrast, EVTM consumed 17 kWh kg−1odW energy. Accordingly, SSVTM has a high potential for preparing wood for enzymatic hydrolysis.

scholarly journals A Causal Model of the Sustainable Use of Resources: A Case Study on a Woodworking Process

2020 ◽  
Vol 12 (21) ◽  
pp. 9057
Author(s):  
Tomas Macak ◽  
Jan Hron ◽  
Jaromir Stusek
Keyword(s):  
Energy Consumption ◽  
Production Process ◽  
Energy Savings ◽  
Sustainable Use ◽  
Co2 Concentration ◽  
Theoretical Description ◽  
Milling Process ◽  
Use Of Resources ◽  
The Impact ◽  
Concentration Levels

Controlling the life cycle of natural resources, from extraction within the design and the production of products to handling waste, is crucial to green growth and is a part of advancing a resource-efficient, circular economy where everything is fully utilised. One way of using resources more efficiently for a greener economy is to design a production process that takes cost and energy savings into account. From this point of view, the goal of the article is to create a causal description of sustainable woodworking—especially using renewable and non-renewable resources—in relation to changes in the concentration levels of CO2 in the atmosphere. After estimating the partial parameters, this model can be used to predict or simulate different CO2 concentration levels in the atmosphere—for example, based on the ratio of renewable to non-renewable sources. After a theoretical description, the subsequent practical goal is to identify the optimal settings of wood-milling process parameters for either minimising energy consumption per workpiece and unit variable costs or for maximising the overall customer benefit. For this purpose, a complete factorial design was used, and based on this, the consumption energy (direct cost) optimisation of the production process was supplemented by a profitable production calculation. The effect of reducing variability was verified using a statistical F-test. The impact of minimising energy consumption (economically expressed as the mean profit) was then validated using a Student’s t-test.

Comparison of minimum quantity lubrication and wet milling based on energy consumption modeling

2021 ◽  
pp. 095440892110144
Author(s):  
Masuod Bayat ◽  
Mohammad Mahdi Abootorabi
Keyword(s):  
Energy Consumption ◽  
Manufacturing Industry ◽  
Minimum Quantity Lubrication ◽  
Milling Process ◽  
Numerical Control ◽  
Machining Process ◽  
Wet Milling ◽  
Total Energy Consumption ◽  
Minimum Quantity ◽  
Energy Consumption Modeling

Estimating the energy consumed by machining process is substantial because it has a large share of environmental effects in the manufacturing industry. In this paper, a generic energy consumption model was developed for milling processes that is able to be applied in all milling machine tools. Energy consumption of each segment was estimated according to power characteristics and parameters extracted from numerical control (NC) codes, then the total energy consumption was estimated by adding energy consumption of the machine components. Energy consumption of milling process was measured and compared in conventional (wet) and minimum quantity lubrication (MQL) conditions. The developed method was verified by comparing the estimated values of energy consumption with experimental results. Various studies have suggested different types of energy consumption modeling with machining, however; only a few studies have focused on the use of these modeling techniques. Thus, the MQL method has been rarely compared with the wet milling in terms of energy consumption. In the proposed model, energy consumption for workpiece adjustment, accounting for a major part of the costs in machining economics was considered for the first time. The results showed that the proposed method is efficient and practical for predicting energy consumption, with the possibility of occurring 5% error. Analysis of the results revealed that using the MQL method in milling process leads to 33% lower power consumption than wet milling and therefore, the MQL method can reduce the cost of production.

A novel energy consumption model for milling process considering tool wear progression

2018 ◽  
Vol 184 ◽  
pp. 152-159 ◽  
Author(s):  
K.N. Shi ◽  
D.H. Zhang ◽  
N. Liu ◽  
S.B. Wang ◽  
J.X. Ren ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Tool Wear ◽  
Milling Process ◽  
Energy Consumption Model ◽  
Consumption Model

scholarly journals Effect of Microwave Pretreatment on Grindability of Lead-Zinc Ore

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qing Yu ◽  
Dexin Ding ◽  
Wenguang Chen ◽  
Nan Hu ◽  
Lingling Wu ◽  
...  
Keyword(s):  
Particle Size ◽  
Energy Consumption ◽  
Particle Size Distribution ◽  
Microwave Irradiation ◽  
Size Distribution ◽  
Size Fraction ◽  
Milling Process ◽  
Total Energy Consumption ◽  
Microwave Pretreatment ◽  
Lead Zinc

The influence of microwave pretreatment on grindability of lead-zinc ore was studied through comparison analysis on the changes of particle size distribution, percentage of below 0.074 mm, energy consumption, and other indexes of grinding products before and after microwave pretreatment in the ball milling process. The results showed that the grindability of lead-zinc ore was improved obviously by microwave pretreatment. The particle size distribution curve of the grinding products was obviously higher than that of the samples without microwave irradiation. The yield of size fraction below 0.074 mm was also improved in a certain degree. Pulsed microwave irradiation was more effective than continuous microwave irradiation when other microwave parameters were consistent. The comprehensive energy consumption of lead-zinc ore pretreated by different microwave parameters was lower than that without microwave irradiation under the same grinding fineness. The total energy consumption was down by 30.1% when irradiated for 15 s at 7 kW power, and it was lower than that without microwave irradiated. The results showed that pulsed microwave pretreatment was more effective in reducing the comprehensive energy consumption of grinding process for lead-zinc ore. And water quenching after microwave irradiation can improve the grindability and reduce the energy consumption of grinding for lead-zinc ore.

scholarly journals Estimation of In-Process Power Consumption in Face Milling by Specific Energy Consumption Models

2020 ◽  
Vol 14 (6) ◽  
pp. 951-958
Author(s):  
Tetsuo Samukawa ◽  
◽  
Kazuki Shimomoto ◽  
Haruhiko Suwa
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Machine Tool ◽  
Specific Energy Consumption ◽  
Green Manufacturing ◽  
Critical Issue ◽  
Milling Process ◽  
Face Milling ◽  
Proposed Model ◽  
The Face

Prediction of energy consumption in the entire production system is crucial for managing production and pursuing environmentally friendly manufacturing. One critical issue that must be addressed to realize green manufacturing is to construct a method for predicting the electric power consumed by each manufacturing device. To address this problem, we have proposed a regression-based power consumption model to predict in-process power consumption based on the strong correlation between MRR and SEC. This study is an extension of our previous work, and here, we conducted face milling experiments by utilizing ten different materials to demonstrate the applicability and generalization capability of the model. We focused on the face milling process and measured the power consumption of the machine tool during the milling process. We also determined the characteristics of the in-process power consumption in face milling from the viewpoint of SEC and MRR and the influence of the work material on SEC. The prediction accuracy of the proposed model is demonstrated by comparison with a conventional model. It was revealed that the proposed model can describe the influence of the entire machine tool on power consumption depending on the characteristics of the work materials.

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