scholarly journals Energy Consumption Modelling in Milling of Variable Curved Geometry

2021 ◽  
Author(s):  
Shrikant Shankarrao Pawar ◽  
Tufan Chandra Bera ◽  
Kuldip Singh Sangwan
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Cutting Forces ◽  
Accurate Estimation ◽  
Curved Surfaces ◽  
Peripheral Milling ◽  
Manufacturing Enterprises ◽  
Proposed Model ◽  
Energy Consumption Model ◽  
Process Mechanics

Abstract The accurate estimation of energy consumption is beneficial to manufacturing enterprises economically as well as to overcome global energy crisis. The present work concentrates on developing an energy consumption model in milling of variable curved geometries where magnitudes and directions of workpiece curvature vary along tool contact path of a component. The current work deals with estimation and analysis of energy consumption in peripheral milling of variable curved surfaces where cutting forces differ along tool contact path in the presence of workpiece curvature. The proposed hybrid model developed in MATLAB involves process mechanics, cutting forces and energy consumption and have modules for idle, auxiliary and cutting power. The proposed model is validated by the experimental work. The model is generic and versatile in nature and is useful for milling of straight, circular and curved surfaces. In addition to it, the influence of workpiece curvature on power consumption has been investigated to realize the variation of power consumption along the tool contact path. The developed model offers a basic platform to understand and characterize the energy consumption for general peripheral milling considering workpiece geometry. The comparison of predicted and measured results indicate that the model is capable to estimate the power consumption accurately. The proposed model will be used by the practitioners to find the optimum cutting conditions to reduce power consumption during the machining of curved geometries; a pragmatic condition but not much researched condition in machining.

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.

scholarly journals An Occupant-Based Energy Consumption Model for User-Focused Design of Residential Buildings

2015 ◽  
Vol 137 (7) ◽  
Author(s):  
Toufic Zaraket ◽  
Bernard Yannou ◽  
Yann Leroy ◽  
Stéphanie Minel ◽  
Emilie Chapotot
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Energy Performance ◽  
Energy Simulation ◽  
Simulation Tools ◽  
Modeling Methodology ◽  
Management Processes ◽  
Proposed Model ◽  
Energy Consumption Model ◽  
Industrial Energy

Occupants' behavior exerts a significant influence on the energy performance of residential buildings. Industrial energy simulation tools often account for occupants' as monolithic elements with standard averaged energy consumption profiles. Predictions yielded by these tools can thus deviate dramatically from reality. This paper proposes an activity-based model for forecasting energy and water consumption of households and discusses how such an occupant-focused model may integrate a user-focused design of residential buildings. A literature review is first presented followed by a brief recall of the proposed modeling methodology and a sample of simulation results. The possible integration of the proposed model into the design and energy management processes of residential buildings is then demonstrated through a number of use cases.

A novel energy efficient powered ankle prosthesis using four-bar controlled compliant actuator

2018 ◽  
Vol 232 (24) ◽  
pp. 4664-4675 ◽  
Author(s):  
Saikat Sahoo ◽  
Dilip Kumar Pratihar ◽  
Sudipta Mukhopadhyay
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Energy Efficient ◽  
Optimization Problem ◽  
Stance Phase ◽  
Transmission Mechanism ◽  
Ankle Prosthesis ◽  
Proposed Model ◽  
Set Up ◽  
Compliant Actuator

A powered ankle prosthesis has the ability to replace a biological ankle, also it can remove the difficulties faced due to the usage of passive ankle prosthesis. However, the energy consumption of the set-up, weight and portability of the motor, and its electronics are still the issues to be addressed. This study is solely focused on the reduction of power consumption of the motor during the stance phase of locomotion. Thus, a compliant actuator controlled by the four-bar mechanism with a special rocker arrangement is proposed, which eventually can reduce the power consumption by a significant amount. The reduction of power consumption not only expands the run time, but also reduces the weight and cost of the prosthesis indirectly. An optimization problem is also formulated to optimize the links’ lengths and spring stiffness in order to mimic the behavior of a normal ankle joint and solved using a genetic algorithm. Finally, the analytical and simulation results of the proposed model in terms of energy consumption and required peak motor power are compared with that of some renowned powered ankle prosthesis developed using the widely used screw transmission mechanism, a popular compliance actuation technique and an existing four-bar mechanism.

scholarly journals Improving the Performance of Micro-Textured Cutting Tools in Dry Milling of Ti-6Al-4V Alloys

Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 945
Author(s):  
Ze Wu ◽  
Youqiang Xing ◽  
Jiansong Chen
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Cutting Forces ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Dry Milling ◽  
Comparison Results ◽  
Physical Effects ◽  
Improved Performance

Micro-textured tools were fabricated by making textures on rake faces and filling them with molybdenum disulfide. Dry milling of Ti-6Al-4V alloys was carried out with the micro-textured tools and conventional tools for comparison. Results showed that micro-textured tools can reduce the resultant cutting forces, cutting temperatures, and power consumption by approximately 15%, 10%, and 5%, respectively. Meanwhile, the developed tools can improve tool lives by approximately 20–25%. The radial width of cut, the cutting speed, and the axial depth of cut all had statistical and physical effects on the energy consumption per unit of volume in dry milling of Ti-6Al-4V alloys, while the feed per tooth seemed to have no significant effect. The mechanism for improved performance of micro-textured tools can be mainly interpreted as their self-lubricating function.

scholarly journals Developing a Hydrogen Fuel Cell Vehicle (HFCV) Energy Consumption Model for Transportation Applications

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 529
Author(s):  
Kyoungho Ahn ◽  
Hesham A. Rakha
Keyword(s):  
Energy Consumption ◽  
Fuel Cell ◽  
Fuel Cell Vehicle ◽  
Hydrogen Fuel Cell ◽  
Hydrogen Fuel ◽  
Energy Estimation ◽  
Transportation Projects ◽  
Proposed Model ◽  
Energy Consumption Model ◽  
Transportation Applications

This paper presents a simple hydrogen fuel cell vehicle (HFCV) energy consumption model. Simple fuel/energy consumption models have been developed and employed to estimate the energy and environmental impacts of various transportation projects for internal combustion engine vehicles (ICEVs), battery electric vehicles (BEVs), and hybrid electric vehicles (HEVs). However, there are few published results on HFCV energy models that can be simply implemented in transportation applications. The proposed HFCV energy model computes instantaneous energy consumption utilizing instantaneous vehicle speed, acceleration, and roadway grade as input variables. The mode accurately estimates energy consumption, generating errors of 0.86% and 2.17% relative to laboratory data for the fuel cell estimation and the total energy estimation, respectively. Furthermore, this work validated the proposed model against independent data and found that the new model accurately estimated the energy consumption, producing an error of 1.9% and 1.0% relative to empirical data for the fuel cell and the total energy estimation, respectively. The results demonstrate that transportation engineers, policy makers, automakers, and environmental engineers can use the proposed model to evaluate the energy consumption effects of transportation projects and connected and automated vehicle (CAV) transportation applications within microscopic traffic simulation models.

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.

scholarly journals A Novel Cost Based Model for Energy Consumption in Cloud Computing

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
A. Horri ◽  
Gh. Dastghaibyfard
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Electrical Energy ◽  
Cloud Environment ◽  
Cloud Infrastructure ◽  
Cloud Data ◽  
Proposed Model ◽  
Energy Consumption Model ◽  
Cloud Data Centers ◽  
The Cost

Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment.

scholarly journals Energy Consumption Optimization and User Comfort Maximization in Smart Buildings Using a Hybrid of the Firefly and Genetic Algorithms

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4363 ◽  
Author(s):  
Fazli Wahid ◽  
Muhammad Fayaz ◽  
Ayman Aljarbouh ◽  
Masood Mir ◽  
Muhammad Aamir ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Air Quality ◽  
Power Consumption ◽  
Hybrid Model ◽  
Residential Buildings ◽  
Optimization Algorithms ◽  
Optimization Techniques ◽  
Proposed Model ◽  
Energy Consumption Optimization ◽  
User Comfort

This research work proposed a hybrid model to maximize energy consumption and maximize user comfort in residential buildings. The proposed model consists of two widely used optimization algorithms named the firefly algorithm (FA) and genetic algorithm (GA). The hybridization of two optimization approaches results in a better optimization process, leading to better performance of the process in terms of minimum power consumption and maximum occupant’s comfort. The inputs of the optimization model are illumination, temperature, and air quality from the user, in addition with the external environment. The outputs of the proposed model are the optimized values of illumination, temperature, and air quality, which are, in turn, used in computing the values of user comfort. After the computation of the comfort index, these values enter the fuzzy controllers, which are used to adjust the cooling/heating system, illumination system, and ventilation system according to the occupant’s requirement. A user-friendly environment for power consumption minimization and user comfort maximization using data from different sensors, user, processes, power control systems, and various actuators is proposed in this work. The results obtained from the hybrid model have been compared with many state-of-the-art optimization algorithms. The final results revealed that the proposed approach performed better as compared to the standard optimization techniques.

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