Energy Efficiency Process for Manufacturing Crank Shaft

2014 ◽  
Vol 1036 ◽  
pp. 1083-1088
Author(s):  
Hong Seok Park ◽  
Trung Thanh Nguyen
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Heat Loss ◽  
Induction Heating ◽  
Manufacturing Process ◽  
Optimization Method ◽  
Work Piece ◽  
Manufacturing Cost ◽  
Optimization Approach ◽  
Process Chain

Increasing energy efficiency of the manufacturing process is one of the solutions to resolve the ecological issues, save manufacturing cost, and reduce environmental impacts. In crank shafts manufacturing process chain, the potential of energy saving is great due to the induction heating line and heat loss from the process. This paper proposes the method to increase energy efficiency of induction heating line which spends most of the energy in a whole crankshaft manufacturing process. To reduce the heat loss from work piece, an insulating system was designed through the analysis of heat flow. The optimization of the heating parameters was done based on the simulation model with the multi criteria optimization method. In addition, this work also addresses a concept of holistic optimization approach to decrease energy consumption in the manufacturing process of crankshaft. The optimization approach in conjunction with design of experiment, analytical method, regression, and the robust optimization algorithm was applied in order to systematically optimize manufacturing processes. The optimization process aims to identify significant process parameters, determine potential solutions, and obtain optimal parameters. The energy flow of sub-process, including heating line, shearing, and forging is carried out in terms of a holistic approach, i.e. in consideration of the interrelationship between energy consumption and relevant criteria (cycle time, manufacturing costs, product quality). The optimized results show that the induction heating line can increase 14.8% in energy efficiency, of which 9% is due to the effect of insulating cover and 5.8% is due to process parameter optimization and the forging process chain can reduce approximately 10% in energy consumption. This paper contributes to improve the energy efficiency of the crank shafts manufacturing process.

scholarly journals Energy efficiency analysis of the manipulation process by the industrial objects with the use of Bernoulli gripping devices

2017 ◽  
Vol 68 (6) ◽  
pp. 496-502 ◽  
Author(s):  
Volodymyr Savkiv ◽  
Roman Mykhailyshyn ◽  
Frantisek Duchon ◽  
Mykhailo Mikhalishin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Optimization Method ◽  
Efficiency Analysis ◽  
Inertial Forces ◽  
Topical Issue ◽  
Orientation Optimization ◽  
Force Characteristics ◽  
Energy Efficiency Analysis ◽  
Reducing Energy

Abstract The article deals with the topical issue of reducing energy consumption for transportation of industrial objects. The energy efficiency of the process of objects manipulation with the use of the orientation optimization method while gripping with the help of different methods has been studied. The analysis of the influence of the constituent parts of inertial forces, that affect the object of manipulation, on the necessary force characteristics and energy consumption of Bernoulli gripping device has been proposed. The economic efficiency of the use of the optimal orientation of Bernoulli gripping device while transporting the object of manipulation in comparison to the transportation without re-orientation has been proved.

A Parametric Optimization Approach of an Induction Heating System for Energy Consumption Reduction

2017 ◽  
Author(s):  
Paolo Cicconi ◽  
Anna Costanza Russo ◽  
Mariorosario Prist ◽  
Francesco Ferracuti ◽  
Michele Germani ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Induction Heating ◽  
Heating System ◽  
High Energy ◽  
Design Parameters ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Molding Process ◽  
Multi Objective ◽  
Induction Heating System

Nowadays, electromagnetic high-frequency induction is very used for different non-contact heating applications such as the molding process. Every molding process requires the preheating and the thermal maintenance of the molds, to enhance the filling phase and the quality of the final products. In this context, an induction heating system, mostly, is a customized equipment. The design and definition of an induction equipment depends on the target application. This technology is highly efficient and performant, however it provides a high-energy consumption. Therefore, optimization strategies are very suitable to reduce energy cost and consumption. The proposed paper aims to define a method to optimize the induction heating of a mold in terms of time, consumption, and achieved temperature. The proposed optimization method involves genetic algorithms to define the design parameters related to geometry and controller. A test case describes the design of an induction heating system for a polyurethane molding process, which is the soles foaming. This case study deals with the multi-objective optimization of parameters such as the geometrical dimensions, the inductor sizing, and the controller setting. The multi-objective optimization aims to reduce the energy consumption and to increase the wall temperature of the mold.

scholarly journals Energy efficiency solutions for driers used in the glass manufacturing and processing industry

2017 ◽  
Vol 11 (1) ◽  
pp. 199-208
Author(s):  
Roxana Pătrașcu ◽  
Eduard Minciuc ◽  
George Darie ◽  
Ștefan-Dominic Voronca ◽  
Andreea-Ioana Bădicu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Manufacturing Process ◽  
Raw Materials ◽  
Raw Material ◽  
Energy Status ◽  
Improvement Program ◽  
Industrial Facilities ◽  
Energy Efficiency Improvement

Abstract Energy conservation is relevant to increasing efficiency in energy projects, by saving energy, by its’ rational use or by switching to other forms of energy. The goal is to secure energy supply on short and long term, while increasing efficiency. These are enforced by evaluating the companies’ energy status, by monitoring and adjusting energy consumption and organising a coherent energy management. The manufacturing process is described, starting from the state and properties of the raw material and ending with the glass drying technological processes involved. Raw materials are selected considering technological and economic criteria. Manufacturing is treated as a two-stage process, consisting of the logistic, preparation aspect of unloading, transporting, storing materials and the manufacturing process itself, by which the glass is sifted, shredded, deferrized and dried. The interest of analyzing the latter is justified by the fact that it has a big impact on the final energy consumption values, hence, in order to improve the general performance, the driers’ energy losses are to be reduced. Technological, energy and management solutions are stated to meet this problem. In the present paper, the emphasis is on the energy perspective of enhancing the overall efficiency. The case study stresses the effects of heat recovery over the efficiency of a glass drier. Audits are conducted, both before and after its’ implementation, to punctually observe the balance between the entering and exiting heat in the drying process. The reduction in fuel consumption and the increase in thermal performance and fuel usage performances reveal the importance of using all available exiting heat from processes. Technical faults, either in exploitation or in management, lead to additional expenses. Improving them is in congruence with the energy conservation concept and is in accordance with the Energy Efficiency Improvement Program for industrial facilities.

scholarly journals Improving Energy Efficiency of Barley Production Using Joint Data Envelopment Analysis (DEA) and Life Cycle Assessment (LCA): Evaluation of Greenhouse Gas Emissions and Optimization Approach

2021 ◽  
Vol 13 (11) ◽  
pp. 6082
Author(s):  
Zahra Payandeh ◽  
Ahmad Jahanbakhshi ◽  
Tarahom Mesri-Gundoshmian ◽  
Sean Clark
Keyword(s):  
Energy Efficiency ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Environmental Indicators ◽  
Optimization Approach ◽  
Data Envelopment ◽  
Aquatic Ecotoxicity ◽  
Environmental Emissions

Eco-efficiency has become a cornerstone in improving the environmental and economic performance of farms. The joint use of life cycle assessment (LCA) and data envelopment analysis (DEA), known as LCA + DEA methodology, is an expanding area of research in this quest. LCA estimates the environmental impacts of the products or services, while DEA evaluates their efficiency, providing targets and benchmarks for the inefficient ones. Because energy consumption and environmental quality are highly interdependent, we carried out a study to examine energy efficiency and environmental emissions associated with rain-fed barley farms in Kermanshah Province, Iran. Fifty-four rain-fed barley farms were randomly selected, and production data were collected using questionnaires and interviews. DEA and LCA were used to quantify and compare environmental indicators before and after efficiency improvements were applied to the farms. To accomplish this, efficient and inefficient farms were identified using DEA. Then environmental emissions were measured again after inefficient farms reached the efficiency limit through management improvements. The results showed that by managing resource use, both energy consumption and environmental emissions can be reduced without yield loss. The initial amount of energy consumed averaged 13,443 MJ/ha while that consumed in the optimal state was determined to be 12,509 MJ/h, resulting in a savings of 934 MJ/ha. Based on the results of DEA, reductions in nitrogen fertilizer, diesel fuel, and phosphate fertilizer offered the greatest possibilities for energy savings. Combining DEA and LCA showed that efficient resource management could reduce emissions important to abiotic depletion (fossil fuels), human toxicity, marine aquatic ecotoxicity, global warming (GWP100a), freshwater aquatic ecotoxicity, and terrestrial ecotoxicity. This study contributes toward systematically building knowledge about crop production with the joint use of LCA + DEA for eco-efficiency assessment.

Energy efficiency assessment of grinding strategy

2015 ◽  
Vol 9 (1) ◽  
pp. 20-37 ◽  
Author(s):  
Konstantinos Salonitis
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Machine Tool ◽  
Manufacturing Process ◽  
Energy Performance ◽  
Grinding Process ◽  
Content Type ◽  
Grinding Machine ◽  
Energy Audits ◽  
Process Strategy

Purpose – This paper aims to set the framework for measuring the energy performance of a manufacturing process. The availability and affordability of energy is becoming a critical parameter nowadays, affecting the whole lifecycle of the product, and hence the production phase as well. The energy efficiency of the grinding process, as a widely used manufacturing process in the industry, is assessed with regard to the selected process strategies. Design/methodology/approach – To assess the grinding machine tool energy performance, a measuring framework is designed, implemented and validated. The process strategy effect on the energy consumption is experimentally assessed through energy audits of the grinding machine tool. Such energy audits provide better insights into the way subsystems composing a machine tool affect the energy consumption. Findings – It is revealed that the proper selection of process strategy can significantly reduce the energy consumption. The amount of energy consumed for the actual process is less than the energy required for maintaining the processing environment (e.g. for the coolant pump delivering coolant fluid in the processing area). The key finding is that the measuring framework can be used for the understanding and analysis of the energy consumption of the various machine tool components. Additionally, for the grinding process itself, the energy audits indicate that reducing the processing duration can significantly reduce the overall energy. Originality/value – The main novel contribution of the present paper is the development of a measurement framework for assessing the energy consumption of subsystems running simultaneously when processing a workpiece. Grinding process energy demand is analysed in detail, allowing for the first time to consider energy consumption as a manufacturing decision criterion.

scholarly journals ACCOUNTING FOR THE INFLUENCE OF THE BUILDING SHAPE ON ITS ENERGY EFFICIENCY

2021 ◽  
Vol 112 ◽  
pp. 10-15
Author(s):  
M.V. Rubtsova ◽  
◽  
Е.Е. Semenova
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Heat Loss ◽  
Energy Efficient ◽  
Three Dimensional ◽  
Spatial Characteristics ◽  
Space Planning ◽  
Floor Area ◽  
Building Shape

The influence of building plan configurations in relation to their spatial characteristics on their energy consumption is considered. The article substantiates the relevance of the research of space-planning solutions of building forms, taking into account energy efficiency. As the object of research, the authors selected the most common three-dimensional configurations of building forms, taking into account energy efficiency. Examples of the analysis of the main space-planning parameters of the building and the prerequisites for their influence on its heat loss are considered with the provided graphic materials that allow you to find out the dependence of the change in the area of enclosing structures on the change in the floor area. This comparison is carried out in order to determine an energy-efficient and rationally arranged space-planning solution, taking into account the principles of energy saving for the construction of buildings.

Integrated Strength and Manufacturing Process Design Using a Shape Optimization Approach

1993 ◽  
Vol 115 (1) ◽  
pp. 125-131 ◽  
Author(s):  
R. V. Grandhi ◽  
S. C. Modukuru ◽  
J. C. Malas
Keyword(s):  
Manufacturing Process ◽  
Manufacturing Industry ◽  
Integrated Approach ◽  
Strength Properties ◽  
Manufacturing Cost ◽  
Optimization Approach ◽  
Simultaneous Design ◽  
Development Cycle ◽  
Design And Manufacturing ◽  
Product And Process

Intense competition in the manufacturing industry is forcing major changes in cost reduction in every step of the product development cycle starting from the design conception through production. One technique to reduce manufacturing cost is to employ simultaneous engineering between design and manufacturing using sensitivity analysis and iterative techniques. This integrated approach allows those decisions that significantly affect the product and process designs to be made more intelligently up-front. This paper considers a simultaneous design of product and manufacturing process. The product requirements include strength properties, whereas the manufacturing process goals include cost, quality, and microstructure to produce defect-free parts on a repeatable basis. The concept is demonstrated by designing a turbine disk manufactured using a forging process.

Analysis on Energy Performance of Educational Facility by Composition of Double Glass

2015 ◽  
Vol 1119 ◽  
pp. 756-759
Author(s):  
Yoon Seok Shin ◽  
Gwang Hee Kim
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Performance Analysis ◽  
Layer Thickness ◽  
Heat Loss ◽  
3D Modeling ◽  
Energy Performance ◽  
Low Energy ◽  
Educational Facilities ◽  
The University

Korean energy consumption accounts for about 40 percent in the architecture. Especially, Heat loss of the windows is about eight times larger than the wall or roof. In addition, the structures older than 20 years were designed with no consideration of the energy perspective, and they have low energy efficiency compared with the newly introduced structures, which leads to extreme energy consumption. Therefore, this study was conducted for the purpose of engergy performance analysis according to window type in educational facilities. This study we medeled the university library in Autocad Ecotect Ananlysis program, 3D modeling. It calcualted data that the air layer thickness has about 3.9 times more impact that the glass thickness in composition of double glass. As the result of this study, the need for the remodeling and renovation of the obsolete library in order to reduce its excessive energy consumption was highlighted.

The Application of the Combination of Monte Carlo Optimization Method based QSAR Modeling and Molecular Docking in Drug Design and Development

2020 ◽  
Vol 20 (14) ◽  
pp. 1389-1402 ◽  
Author(s):  
Maja Zivkovic ◽  
Marko Zlatanovic ◽  
Nevena Zlatanovic ◽  
Mladjan Golubović ◽  
Aleksandar M. Veselinović
Keyword(s):  
Monte Carlo ◽  
Molecular Docking ◽  
Computer Calculation ◽  
Molecular Graph ◽  
Optimization Method ◽  
Docking Studies ◽  
Optimization Approach ◽  
Qsar Modeling ◽  
Monte Carlo Optimization ◽  
Molecular Docking Studies

In recent years, one of the promising approaches in the QSAR modeling Monte Carlo optimization approach as conformation independent method, has emerged. Monte Carlo optimization has proven to be a valuable tool in chemoinformatics, and this review presents its application in drug discovery and design. In this review, the basic principles and important features of these methods are discussed as well as the advantages of conformation independent optimal descriptors developed from the molecular graph and the Simplified Molecular Input Line Entry System (SMILES) notation compared to commonly used descriptors in QSAR modeling. This review presents the summary of obtained results from Monte Carlo optimization-based QSAR modeling with the further addition of molecular docking studies applied for various pharmacologically important endpoints. SMILES notation based optimal descriptors, defined as molecular fragments, identified as main contributors to the increase/ decrease of biological activity, which are used further to design compounds with targeted activity based on computer calculation, are presented. In this mini-review, research papers in which molecular docking was applied as an additional method to design molecules to validate their activity further, are summarized. These papers present a very good correlation among results obtained from Monte Carlo optimization modeling and molecular docking studies.

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