Evaluation and Indexing of Process Plans Based on Electrical Demand and Energy Consumption

2017 ◽  
Vol 7 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Omar Ahmed Al-Shebeeb ◽  
Sivakumar Rangaswamy ◽  
Bhaskaran Gopalakrishan ◽  
Dayakar G Devaru
Keyword(s):  
Energy Consumption ◽  
Machining Parameters ◽  
Machining Processes ◽  
Energy Evaluation ◽  
Process Plans ◽  
Plan Selection ◽  
Electrical Demand ◽  
The Cost ◽  
Machining Operations ◽  
Process Plan Selection

This paper presents the concept of including the energy cost as a part of the total cost of manufacturing using machining processes in the development of computer aided process plans. The research objective is to index and evaluate the process plans based upon the energy consumption of the machining operations while considering machining cost and to rank or index the process plans based on energy consumption for purposes of decision support in process plan selection. The paper also discusses energy evaluation of process plans and their subsequent effectiveness in terms of overall cost associated with the utilization of effective machining parameters. The MPSEL system, which is an expert system based application, was used to develop alternative process plans. The MACH program, which is a spreadsheet based system, was used to determine the cost associated with machining. The developed process plans are compared based upon the cost associated with utilized energy and machining.

Evaluating the Influence of Energy Consumption on Process Plan Attributes

2021 ◽  
pp. 91-109
Author(s):  
Omar Ahmed Al-Shebeeb ◽  
Bhaskaran Gopalakrishnan ◽  
Dayakar Devaru
Keyword(s):  
Energy Consumption ◽  
Energy Cost ◽  
Machining Parameters ◽  
Machining Processes ◽  
Process Plan ◽  
Total Cost ◽  
Alternative Process ◽  
Energy Evaluation ◽  
Process Plans ◽  
Management Function

This chapter presents an idea of including the energy cost in the total cost of manufacturing. The main objective of this work is to index and evaluate the process plan based on the energy consumption of different machining processes while considering machining cost to index the process plans based on energy consumption and to select the best process plan based on machining cost. The second portion is the energy evaluation part, in which the process planner, after selecting machining parameters and considering several alternative process plans, analyzes and compares the energy cost and the total machining cost for the part. MPSEL program was used to develop alternative process plans. VISUALMACH program was used to calculate process plan attributes. Different process plans were compared based on the costs of energy, machining, material, and total cost. The obtained results from the proposed methodology showed a significant contribution toward the effectiveness of energy management function within enterprises to meet targets and goals on energy and emissions reduction.

scholarly journals A Dynamic Multi-Swarm Particle Swarm Optimizer for Multi-Objective Optimization of Machining Operations Considering Efficiency and Energy Consumption

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2616
Author(s):  
Lijun Song ◽  
Jing Shi ◽  
Anda Pan ◽  
Jie Yang ◽  
Jun Xie
Keyword(s):  
Energy Consumption ◽  
Particle Swarm ◽  
Economic Benefits ◽  
Machining Parameters ◽  
Manufacturing Companies ◽  
Multi Objective Optimization ◽  
Particle Swarm Optimizer ◽  
Multi Objective ◽  
Use Of Resources ◽  
Machining Operations

Facing energy shortage and severe environmental pollution, manufacturing companies need to urgently energy consumption, make rational use of resources and improve economic benefits. This paper formulates a multi-objective optimization model for lathe turning operations which aims to simultaneously minimize energy consumption, machining cost and cutting time. A dynamic multi-swarm particle swarm optimizer (DMS-PSO) is proposed to solve the formulation. A case study is provided to illustrate the effectiveness of the proposed algorithm. The results show that the DMS-PSO approach can ensure good convergence and diversity of the solution set. Additionally, the optimal machining parameters are identified by fuzzy comprehensive evaluation (FCE) and compared with empirical parameters. It is discovered that the optimal parameters obtained from the proposed algorithm outperform the empirical parameters in all three objectives. The research findings shed new light on energy conservation of machining operations.

scholarly journals Energy, Environmental, Economic, and Technological Analysis of Al-GnP Nanofluid- and Cryogenic LN2-Assisted Sustainable Machining of Ti-6Al-4V Alloy

Metals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 88
Author(s):  
Aqib Mashood Khan ◽  
Saqib Anwar ◽  
Muhammad Jamil ◽  
Mustafa M. Nasr ◽  
Munish Kumar Gupta ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Tool Life ◽  
Flow Rate ◽  
Environmental Sustainability ◽  
Embodied Energy ◽  
Machining Parameters ◽  
Machining Processes ◽  
Sustainable Machining ◽  
Cooling And Lubrication

The quest for advanced cooling/lubrication approaches for energy-efficient, eco-benign, and cost-effective sustainable machining processes is garnering attention in academia and industry. Electrical and embodied energy consumption plays an important role in reducing CO2 emissions. In the present study, new empirical models are proposed to assess sustainable indicators. The embodied energy, environmental burden, and cost of coolant/lubricant have been added in the proposed models. Initially, optimal levels of minimum quantity lubrication (MQL) oil flow rate, liquid LN2 flow rate, air pressure, and nanoparticle concentration were found. Based on optimal technological parameters, experiments were performed under the same cutting conditions (machining parameters) for MQL and cryogenic LN2-assisted external turning of Ti6-Al-4V titanium alloy. The electric power and energy consumption, production time/cost, and CO2 emissions were assessed for a unit cutting-tool life. Later, specific responses were measured and compared between both cooling and lubrication approaches. Results showed that hybrid Al-GnP nanofluid consumed 80.6% less specific cumulative energy and emitted 88.7% less total CO2 emissions. However, cryogenic LN2 extended tool life by nearly 70% and incurred 4.12% less specific costs with 11.1% better surface quality. In summary, after Energy–Economy–Ecology–Engineering technology (4E)-based analysis, cryogenic LN2 is sustainable economically but not environmentally and there is a need to improve the sustainable production of LN2 at an industrial scale to achieve environmental sustainability. The present study provides useful information to establish clean machining processes.

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.

Instability Parameter for Machined Parts

1983 ◽  
Vol 105 (3) ◽  
pp. 133-136 ◽  
Author(s):  
A. Israeli ◽  
J. Benedek
Keyword(s):  
Residual Stress ◽  
Residual Stresses ◽  
Single Point ◽  
Machining Parameters ◽  
Machining Processes ◽  
Etching Technique ◽  
Parametric Relationship ◽  
Machined Parts ◽  
Instability Parameter ◽  
Stress Profiles

The production of precision parts requires manufacturing processes which produce low residual stresses. This study was designed to investigate the parametric relationship between machining processes and residual stress distribution. Sets of steel specimens were single point turned at different feeds. The residual stress profiles of these specimens were monitored, using a continuous etching technique. A “Specific Instability Potential” parameter, derived from the strain energy of the residual stresses, was found to relate directly to the machining parameters. It is suggested that the Specific Instability Potential can be used as a parameter for specifying processing operations.

A Comparative Study of Tribological Behavior of Steel Sliding Against WC Under Mineral and Biodegradable Oil Lubrication

2012 ◽  
Author(s):  
Anup Darshan ◽  
UmaMaheshwera Reddy Paturi ◽  
Narala Suresh Kumar Reddy ◽  
Srinivasa Prakash Regalla
Keyword(s):  
Tribological Properties ◽  
Positive Impact ◽  
Research Work ◽  
Mineral Oil ◽  
Optical Microscope ◽  
Machining Processes ◽  
Alternative Source ◽  
Pin On Disc ◽  
Steel Disc ◽  
Machining Operations

Now a days for machining operations apart from good tribological properties, the lubricant is also expected to be non-hazardous and non-polluting. When considering the ecological and environmental aspects in machining processes, the use of biodegradable oil can be an alternative source of lubricant due to its positive impact to employee health and environmental pollution. In this regard, our research work uses vegetable based cutting fluids developed from canola and sunflower oil, in an attempt to provide an eco-friendly environment. Experiments are carried out on a pin-on-disc tribometer with tungsten carbide (WC) pin against AISI 4340 steel disc for different sliding times under different environments, thus simulating the machining environment. The tribological properties, wear and friction of vegetable based oils were comparatively investigated with a commercially available mineral oil. Wear tracks and roughness profiles of test specimens were compared by using optical microscope and profilometer respectively. Results indicated that vegetable based canola oil demonstrated excellent tribological properties compared to that of commercial mineral oil.

Research on Project Cost Management Model of Ecological Construction

2011 ◽  
Vol 480-481 ◽  
pp. 1197-1200
Author(s):  
Feng Liu ◽  
Jun Min Wang
Keyword(s):  
Project Management ◽  
Energy Consumption ◽  
Construction Projects ◽  
Cost Management ◽  
Building Energy ◽  
Management Model ◽  
Building Energy Consumption ◽  
Specific Cost ◽  
The Cost ◽  
Ecological Construction

In recent years, in order to reduce building energy consumption in China, and vigorously promote the development of ecological construction, the paper studies disadvantages of the cost of traditional project management applications in the ecological construction projects, exploring specific cost management adapt to the ecological construction project.

Synergetic Concept of Software Control of Machining Processes on Metal-Cutting Machines

2021 ◽  
pp. 24-36
Author(s):  
V.L. Zakovorotny ◽  
V.E. Gvindzhiliya
Keyword(s):  
Tool Wear ◽  
Metal Cutting ◽  
Wear Testing ◽  
External Control ◽  
Machining Processes ◽  
Cutting Zone ◽  
Output Characteristics ◽  
The Cost ◽  
And Control ◽  
Cutting System

High precision metal-cutting machines ensure that the programmed machine actuator trajectories correspond to the real ones. For lathes these are the trajectories of the longitudinal and transverse calipers of the system, as well as the spindle. The purpose of processing is to produce parts of a given quality while minimizing the manufacturing costs. The condition of the dynamic cutting system, determined by the trajectories of forces and deformations, affects the quality indicators of parts and the cutting efficiency, which depends on the intensity of tool wear. The properties of the system change depending on the phase trajectory of the power of irreversible transformations of the energy supplied to the cutting zone by the work performed. Their changes related with the evolution of the parameters of the dynamic link formed by cutting are manifested in the development of tool wear and changes in the quality of the part. Thus, the power of irreversible energy transformations is one of the internal factors causing changes in the output characteristics of processing and the state of the process. In this regard, when processing on machine tools, there is a problem of synergistic coordination of external control (for example, the CNC program) with internal one, the source of which is the irreversible transformation of the energy supplied to the cutting zone. The article considers the problem of synergetic coordination of external and internal controls during cutting process, the solution of which will allow increasing the efficiency of processing on CNC machines. A mathematical model of a controlled dynamic cutting system and control algorithms are proposed to improve the efficiency of processing parts of a given quality while minimizing the intensity of tool wear. Testing of the developed algorithms has shown that their use reduces the cost of manufacturing parts by 1.2.

scholarly journals A Heuristic Evolutionary Algorithm of UAV Path Planning

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zhangjie Fu ◽  
Jingnan Yu ◽  
Guowu Xie ◽  
Yiming Chen ◽  
Yuanhang Mao
Keyword(s):  
Energy Consumption ◽  
Evolutionary Algorithm ◽  
Rapid Development ◽  
Optimal Path ◽  
Battery Life ◽  
Intelligent Robot ◽  
Urgent Problem ◽  
Intelligent Robots ◽  
Aerial Vehicle ◽  
The Cost

With the rapid development of the network and the informatization of society, how to improve the accuracy of information is an urgent problem to be solved. The existing method is to use an intelligent robot to carry sensors to collect data and transmit the data to the server in real time. Many intelligent robots have emerged in life; the UAV (unmanned aerial vehicle) is one of them. With the popularization of UAV applications, the security of UAV has also been exposed. In addition to some human factors, there is a major factor in the UAV’s endurance. UAVs will face a problem of short battery life when performing flying missions. In order to solve this problem, the existing method is to plan the path of UAV flight. In order to find the optimal path for a UAV flight, we propose three cost functions: path security cost, length cost, and smoothness cost. The path security cost is used to determine whether the path is feasible; the length cost and smoothness cost of the path directly affect the cost of the energy consumption of the UAV flight. We proposed a heuristic evolutionary algorithm that designed several evolutionary operations: substitution operations, crossover operations, mutation operations, length operations, and smoothness operations. Through these operations to enhance our build path effect. Under the analysis of experimental results, we proved that our solution is feasible.

scholarly journals A Bit String Content Aware Chunking Strategy for Reduced CPU Energy on Cloud Storage

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Bin Zhou ◽  
ShuDao Zhang ◽  
Ying Zhang ◽  
JiaHao Tan
Keyword(s):  
Energy Consumption ◽  
Data Center ◽  
System Performance ◽  
Cloud Storage ◽  
High Performance ◽  
Factors Affecting ◽  
Redundant Data ◽  
Energy Factors ◽  
The Cost ◽  
Content Aware

In order to achieve energy saving and reduce the total cost of ownership, green storage has become the first priority for data center. Detecting and deleting the redundant data are the key factors to the reduction of the energy consumption of CPU, while high performance stable chunking strategy provides the groundwork for detecting redundant data. The existing chunking algorithm greatly reduces the system performance when confronted with big data and it wastes a lot of energy. Factors affecting the chunking performance are analyzed and discussed in the paper and a new fingerprint signature calculation is implemented. Furthermore, a Bit String Content Aware Chunking Strategy (BCCS) is put forward. This strategy reduces the cost of signature computation in chunking process to improve the system performance and cuts down the energy consumption of the cloud storage data center. On the basis of relevant test scenarios and test data of this paper, the advantages of the chunking strategy are verified.

Sign in / Sign up

Export Citation Format

Share Document