scholarly journals A Systematic Method of Optimization of Machining Parameters Considering Energy Consumption, Machining time and Surface Roughness with Experimental Analysis

2021 ◽  
Author(s):  
Chunhua Feng ◽  
Haohao Guo ◽  
Jingyang Zhang ◽  
Yugui Huang ◽  
Shi Huang
Keyword(s):  
Experimental Data ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Cutting Parameters ◽  
Multi Objective Optimization ◽  
Systematic Method ◽  
Machining Time ◽  
Cutting Energy ◽  
Energy Consumption Model ◽  
Consumption Model

Abstract For improving energy efficiency of machining process, extensive studies have focused on how to establish energy consumption model and optimize cutting parameters. However, the existing methods lack a systematic method to promote the widespread use of energy efficiency methods in the industry. This paper proposes a systematic method integrating energy model, experiment design, and multi-objective optimization model. Firstly, the energy model is established considering cutting energy and non-cutting energy. Then, the orthogonal experiment is designed with the three levels of four factors of spindle speed, feed speed, cutting depth, and cutting width in the X and Y cutting directions. The data of energy consumption, surface quality and machining time are obtained to study the effects of different cutting elements and cutting directions. Meanwhile, the standby, spindle idling, feed, SEC, material cutting and idling feed models of the CNC machine tools are established based on the experimental data. In addition, for verifying the accuracy of the established energy consumption model, five sets of experimental data are tested that show the prediction accuracy can reach 99.4%. Finally, a multi-objective optimization model for high efficiency and energy saving of processing process is establishes to optimize the cutting parameters from the three perspectives of energy consumption, processing time and surface quality. Combining the case of milling with constraints including machine tool performance, tool life, processing procedures, and processing requirements, the Pareto solution set is used to solve the Pareto of the target model. Through drawing a three-dimensional needle graph and two-dimensional histogram, the optimal cutting parameter combination for rough machining and semi-finish machining are provided, assisting in promoting the application of the sustainable techniques in the industry.

scholarly journals Energy Consumption Model for Drilling Processes Based on Cutting Force

2019 ◽  
Vol 9 (22) ◽  
pp. 4801
Author(s):  
Qi Wang ◽  
Dinghua Zhang ◽  
Bing Chen ◽  
Ying Zhang ◽  
Baohai Wu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Cutting Force ◽  
Drilling Process ◽  
Cutting Power ◽  
Energy Models ◽  
Auxiliary Power ◽  
Proposed Model ◽  
Energy Consumption Model ◽  
Consumption Model

Accurate energy consumption modelling is critical for the improvement of energy efficiency in machining. Existing energy models of machining processes mainly focus on turning or milling, and there are few energy models for drilling. However, since drilling is often applied to roughing and semi-finishing, and the cutting parameters are large, the energy consumption is huge, and it is urgent to study the consumption of energy during the drilling process. In this paper, an energy consumption model for drilling processes was proposed. Idle power, cutting power, and auxiliary power were included in the proposed energy consumption model, using the cutting force to obtain the cutting power during drilling. Further, the relationship between cutting power and auxiliary power was analyzed. Cutting experiments were then carried out which confirmed the correctness of the proposed model. In addition, compared with several existing energy consumption models, the proposed model had better accuracy and applicability. It is expected that the proposed energy consumption model will have applications for the minimization of energy consumption and improvement of energy efficiency but not limited to only drilling energy consumption prediction.

A Simplified Machine-Tool Power-Consumption Measurement Procedure and Methodology for Estimating Total Energy Consumption

2015 ◽  
Vol 138 (5) ◽  
Author(s):  
Jang-Yeob Lee ◽  
Yong-Jun Shin ◽  
Min-Soo Kim ◽  
Eun-Seob Kim ◽  
Hae-Sung Yoon ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Machine Tool ◽  
Total Energy ◽  
Machine Tools ◽  
Measurement Procedure ◽  
Single Model ◽  
Total Energy Consumption ◽  
Cutting Energy ◽  
Energy Consumption Model ◽  
Consumption Model

Various methods have been developed to describe the energy consumption of machine tools; however, it remains challenging to accommodate the wide variety of machine tools that exist using a single model. In this paper we propose a method to model the energy consumption of machine tools by decoupling the energy of the components of the machine tool from the cutting energy. A procedure is developed to describe the characteristics of the energy consumption of machine tools, which is applied to six different machines. The experimental results show that the cutting energy can be decoupled from the component energy. In this manner, a simplified energy consumption model is developed that can be applied to a wide variety of different machine tools.

Optimal Workpiece Setup for Time-Efficient and Energy-Saving Five-Axis Machining of Freeform Surfaces

2016 ◽  
Vol 139 (5) ◽  
Author(s):  
Ke Xu ◽  
Kai Tang
Keyword(s):  
Energy Consumption ◽  
Alternative Energy ◽  
Tool Path ◽  
Machining Time ◽  
Freeform Surfaces ◽  
Significant Saving ◽  
Energy Consumption Model ◽  
Consumption Model ◽  
Workpiece Setup ◽  
Five Axis

Energy consumption in five-axis machining of freeform surfaces can be considerably large for large-size parts. This paper presents a study on how to setup the workpiece in order to minimize the energy consumption without modifying the toolpath itself. For an arbitrary freeform workpiece, the way how it is setup on the working table highly affects the machine's kinematic behavior, which dominates the overall processing time and energy consumption. Taking into account the speed and acceleration limit of each axis of the machine, we first establish the energy consumption model as a function of the workpiece setup. However, this original model involves certain critical physically pertinent coefficients (such as the moment of inertial of a rotary table) which are usually unavailable in practice. Instead, by exploring insightful geometric characteristics of the five-axis machine, an alternative energy consumption model is established which is independent of those hard-to-obtain coefficients. A simple algorithm is then designed to optimize this model. Both computer simulations and physical cutting experiments demonstrate that, when compared with an arbitrary setup, the optimized workpiece setup is able to achieve a significant saving (as much as 50%) in both energy consumption and total machining time, both using a same tool path.

Urban Building Energy Consumption Forecast Based on the IPAT Theory

2013 ◽  
Vol 689 ◽  
pp. 482-486
Author(s):  
Cui Zou ◽  
Xiu Li Liu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Building Energy ◽  
Building Energy Consumption ◽  
The Public ◽  
Urban Buildings ◽  
Efficiency Measures ◽  
Energy Consumption Model ◽  
Consumption Model ◽  
Energy Consumption Forecast

This paper established an urban building energy consumption model based on IPAT theory combined with ARMA method. Applying the model, the paper calculated the urban building energy consumption in different scenarios, and then predicted the amount of urban building energy consumption in China during 2011-2015. The amount of Chinese urban building energy consumption would grow rapidly during this period, and would reach about 895 million tons of standard coal in 2015. Results analysis showed that it would be necessary to promote energy- efficiency measures in urban buildings, especially in the public buildings.

Minimizing the Energy Consumption of Holes Machining Integrating the Optimization of Tool Path and Cutting Parameters on CNC Machines

2021 ◽  
Author(s):  
Chunhua Feng ◽  
Xiang Chen ◽  
Jingyang Zhang ◽  
Yugui Huang ◽  
Zibing Qu
Keyword(s):  
Energy Consumption ◽  
Path Planning ◽  
Ant Colony Algorithm ◽  
Tool Path ◽  
Cutting Parameters ◽  
Multi Objective Optimization ◽  
Tool Path Planning ◽  
Machining Time ◽  
Cnc Machines ◽  
Multi Objective

Abstract The application of sustainable manufacturing technologies is the new challenge faced by enterprises, industries, and researchers under the background of supporting carbon peak and carbon neutral. This paper studies how to reduce the energy consumption of holes machining through optimizing tool path and cutting parameters simultaneously. The integrated optimization methodology can further reduce the energy consumption comparing with optimizing the tool path or cutting parameters separately. Firstly, the energy model of holes machining is established based on machine tools’ energy composition, tool path planning, and process parameters. Due to tool path planning as air cutting process has big relationship with reducing energy, especially for holes group with a big proportion in the whole process. The tool path of holes processing is optimized by the improved ant colony algorithm to solve the issue considering the distance from one hole to the next hole. Based on this optimized path, a multi-objective optimization model for hole cutting parameters is established, considering the spindle speed and feed rate as the optimization variables and machining time, energy consumption, and surface roughness as the objective function. The non-dominated sorting genetic algorithm (NSGA-Ⅱ) is employed to solve the multi-objective optimization problem of holes machining. The case study with 50 holes is used to testify the application of the proposed method to provide the practical energy efficiency strategy for holes group or multi-hole parts on CNC machines assisting in achieving sustainable production in manufacturing sectors.

Qos Constraints-Based Energy-Efficient Model for IP Networks

2013 ◽  
Vol 765-767 ◽  
pp. 1747-1751
Author(s):  
Ding De Jiang ◽  
Wen Juan Wang ◽  
Wei Han Zhang ◽  
Peng Zhang ◽  
Ya Li
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Large Scale ◽  
Ip Networks ◽  
Speed Scaling ◽  
Model Based ◽  
Energy Consumption Model ◽  
Consumption Model ◽  
Simulation Results

This paper proposes an energy-efficient model to overcome the energy-efficient problem in large-scale IP networks, based on QoS constraints. To characterize network energy consumption, we present a link energy consumption model based on the sleep and speed scaling mechanisms. If there is no traffic on a link, let it sleep, or activate it and divide its energy consumption into base energy consumption and traffic energy consumption. And then according to the link energy consumption model, we can build our energy-efficient model to improve the network energy efficiency. Finally, simulation results show that our model can significantly improve the network energy efficiency.

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