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JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering最新文献

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Economic analysis and risk assessment in the process of implementing innovative products on the example of impregnated grinding wheels 以浸渍砂轮为例，对创新产品实施过程中的经济分析与风险评估
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2020-02-24 DOI: 10.30464/jmee.2019.3.4.289
E. Gierszewska, K. Nadolny
{"title":"Economic analysis and risk assessment in the process of implementing innovative products on the example of impregnated grinding wheels","authors":"E. Gierszewska, K. Nadolny","doi":"10.30464/jmee.2019.3.4.289","DOIUrl":"https://doi.org/10.30464/jmee.2019.3.4.289","url":null,"abstract":"This article presents issues related to the search for new products. The process of innovation implementation in a production company is characterized. Issues related to the process of innovation implementation are presented, as well as processes closely related to it. There are presented the analyses which are necessary to carry out, before starting the process of innovation implementation in a company. The process of economic analyses and risk assessment of FMEA implementation was discussed. The analyses presented refer to a specific example which is the implementation of innovative impregnated wheels in the company Andre Abrasive Articles.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88863908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New generation of the satellite hydraulic pumps 新一代卫星液压泵
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2020-02-24 DOI: 10.30464/jmee.2019.3.4.309
L. Osiecki
{"title":"New generation of the satellite hydraulic pumps","authors":"L. Osiecki","doi":"10.30464/jmee.2019.3.4.309","DOIUrl":"https://doi.org/10.30464/jmee.2019.3.4.309","url":null,"abstract":"Hydraulic satellite machines are known and produced in many versions, recognizable by the number of humps on their inner rotor and external gear, and therefore by the number of cooperating gears (satellites). All known shapes were however designed on the base of preliminary assumption that rotor’s and external gear’s pitch lines are formed by merging arcs, tangent  to each other in the. This assumption makes calculations easier, but the curvature radius of the pitch lines changes instantly in their merging points. Tests made in the Department of Hydraulics and Pneumatics of the Gdansk University of Technology proved that satellite motors may work also as a pump. All known shapes were however designed for motor work - mainly for low-speed, high-torque motors. Sudden changes of the pitch line’s curvature strongly affect velocity and acceleration of pump’s moving parts and forces between them. Because of that, in the pump mode fast wear of teeth in the points of small curvature radius is visible. The obvious effect is reduced durability and high noise emission. To eliminate all those problems the new mechanism, designed for the pump is necessary.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87338750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Functional and diagnostic structure of the equipment of a wind power station 某风力发电站设备的功能与诊断结构
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2020-02-24 DOI: 10.30464/jmee.2019.3.4.323
R. Duer, Pawel Wrzesien, S. Duer, D. Bernatowicz, J. Valícek
{"title":"Functional and diagnostic structure of the equipment of a wind power station","authors":"R. Duer, Pawel Wrzesien, S. Duer, D. Bernatowicz, J. Valícek","doi":"10.30464/jmee.2019.3.4.323","DOIUrl":"https://doi.org/10.30464/jmee.2019.3.4.323","url":null,"abstract":"This article describes functional and diagnostic structure of the equipment of a Wind Power Station. Considering particular operational conditions of a technical object, that is a set of Wind Power Station equipment, this is a significant issue. A structural model of Wind Power Station  equipment is developed. Based on that, a functional – diagnostic model of Wind Power Station  equipment is elaborated. That model is a basis for determining primary elements of the object structure, as well as for interpreting a set of diagnostic signals and their reference signals.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"107 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85578206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Regression modeling and neural computing for predicting the Ultimate Tensile Strength of Friction Stir Welded aerospace aluminium alloy 航空铝合金搅拌摩擦焊接极限拉伸强度预测的回归模型和神经网络计算
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2019-09-30 DOI: 10.22214/ijraset.2019.9045
Akshansh Mishra
{"title":"Regression modeling and neural computing for predicting the Ultimate Tensile Strength of Friction Stir Welded aerospace aluminium alloy","authors":"Akshansh Mishra","doi":"10.22214/ijraset.2019.9045","DOIUrl":"https://doi.org/10.22214/ijraset.2019.9045","url":null,"abstract":"AA7075 is an aluminum alloy that's almost as strong as steel, yet it weighs just one third as much. Unfortunately, its use has been limited, due to the fact that pieces of it couldn't be securely welded together by the traditional welding process. Friction Stir Welding (FSW) process overcomes the limitations of the conventional welding process. The aim of our present is to compare the predicted results of the Ultimate Tensile Strength (UTS) of Friction Stir welded similar joints through Regression modeling and Artificial Neural Network (ANN) modeling. It was observed that the linear regression algorithm is able to make more accurate predictions compared to neural network algorithm for small dataset.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"144 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88082321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A smart review on the gas transportation model of coalbed methane gas based on the optimized pipeline network 基于优化管网的煤层气输气模型智能综述
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2019-07-16 DOI: 10.30464/JMEE.2019.3.2.169
Akash Talapatra, Abed Inan Chowdhury, Md. Shourov Ujjaman
{"title":"A smart review on the gas transportation model of coalbed methane gas based on the optimized pipeline network","authors":"Akash Talapatra, Abed Inan Chowdhury, Md. Shourov Ujjaman","doi":"10.30464/JMEE.2019.3.2.169","DOIUrl":"https://doi.org/10.30464/JMEE.2019.3.2.169","url":null,"abstract":"Coalbed methane is extracted from the adsorbed state in coal seams with lower pressure & production rate. In previous studies, researchers only focused on the methods that were developed for making a relationship between the underground production rate & surface flow rate without any type of optimization procedure. In this study, the main purpose is to do a review on finding out of surface layout plan to optimize the maximum gas flow rate by developing an improved pipeline network. The more the optimization of the layout plan for designing pipeline network, the lower the amount of investment need to provide. Here, a mathematical model is proposed for the gas transportation based on the hydraulic & thermodynamic calculations of the pipeline network. Not only that, but also the filtration mechanism of depressurization & desorption for the gas flow through pipe section are evaluated here. After that, the pressure drop & pipeline efficiency are explored to find out the best design of pipeline network from the observed results. Finally, based on this study, many uncertainties can be reduced associated with the installation of pipeline network for gas transportation.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83368207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Benefits of exhaust gas energy for preheating biodiesel fuel to enhance engine emissions and performance 废气能源的好处预热生物柴油燃料，以提高发动机的排放和性能
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2019-07-16 DOI: 10.30464/JMEE.2019.3.2.157
M. Mourad, Elsadek H. Noureldenn
{"title":"Benefits of exhaust gas energy for preheating biodiesel fuel to enhance engine emissions and performance","authors":"M. Mourad, Elsadek H. Noureldenn","doi":"10.30464/JMEE.2019.3.2.157","DOIUrl":"https://doi.org/10.30464/JMEE.2019.3.2.157","url":null,"abstract":"The need for alternative fuel instead of conventional fossil fuels (diesel or gasoline) has recently increased for several reasons, including the expected shortage of petroleum fossil fuels and the production of pollution by transportation. Consequently, researchers are interested in finding new alternative fuels. At present, the number of studies on biodiesel as a compression ignition engine fuel has increased. Current studies are mainly concerned with studying the use of exhaust gas temperature to preheat biodiesel fuel before it enters the combustion chamber. A heat exchanger is designed to increase the temperature of the biodiesel fuel prior to the combustion process. The performance characteristics of diesel engines and the emission of pollutants resulting from this modification were investigated under different operating conditions, including different engine loads and speeds. The results showed clear improvements in engine performance, including improved output power, specific fuel consumption and pollutant emissions. The engine power and specific fuel consumption improvements as a result of preheating reached up to 1.3 % and 8.27 %, respectively. Pollutant emission also decreased obviously, with carbon monoxide and hydrocarbon emission decreases of 12.95 % and 12.85 %, respectively. However, the emission of nitrogen oxides increased by 4.39 %.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79162407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Computer simulation in producton process of wiper blades for cars 汽车雨刮器生产过程的计算机模拟
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2019-07-15 DOI: 10.30464/JMEE.2019.3.2.131
Justyna Ogorzałek
{"title":"Computer simulation in producton process of wiper blades for cars","authors":"Justyna Ogorzałek","doi":"10.30464/JMEE.2019.3.2.131","DOIUrl":"https://doi.org/10.30464/JMEE.2019.3.2.131","url":null,"abstract":"The article presents the most important information concerning computer modelling and simulation, system dynamics modelling, discrete event modelling and agent modelling. An exemplary model of the production process of windscreen wipers, which was created on the basis of assumptions, discussed the individual components of the model. An example of using JAVA code in AnyLogic program is presented and examples of indicators that can be calculated and presented in the form of a graph in the program are shown. Computer simulations enable tracking and analysis of the production process. They help to verify assumptions and detect irregularities in the modeled process. Simulation programs have a wide range of possibilities, allow you to create reports, charts, comparisons, allow you to optimize processes.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"203 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76435302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Introduction to the technical and economic analysis of the production process with the use of computer simulation 介绍了利用计算机模拟对生产过程进行技术经济分析
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2019-07-15 DOI: 10.30464/JMEE.2019.3.2.121
Justyna Ogorzałek
{"title":"Introduction to the technical and economic analysis of the production process with the use of computer simulation","authors":"Justyna Ogorzałek","doi":"10.30464/JMEE.2019.3.2.121","DOIUrl":"https://doi.org/10.30464/JMEE.2019.3.2.121","url":null,"abstract":"The article presents the most important information concerning the methods, techniques and indicators of I measures, which are used in the evaluation of production processes. The theory of limitations, process mapping, benchmarking and diagnostic test method have been described. Sample indicators for the evaluation of production processes are presented and the measures for the evaluation of production processes are discussed, as well as methods of obtaining information about the process. The modelling and computer simulations were described and the algorithm of proceeding during the development of a simulation model was presented. The article discusses system dynamics modelling, discrete event modelling and agent modelling.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76325439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Re-engineering of Georgian railways and optimizing their project management 格鲁吉亚铁路的重新设计和优化其项目管理
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2019-07-15 DOI: 10.30464/JMEE.2019.3.2.109
D. Japaridze, Boris Gitolendia
{"title":"Re-engineering of Georgian railways and optimizing their project management","authors":"D. Japaridze, Boris Gitolendia","doi":"10.30464/JMEE.2019.3.2.109","DOIUrl":"https://doi.org/10.30464/JMEE.2019.3.2.109","url":null,"abstract":"This article discusses the processes of current re-engineering of the Georgian Railway. Georgian Railway was founded in 1865 and its operations started in 1871. It sits on the shortest route between Europe and Central Asia. When we analyze the re-engineering issues of a particular country, we conclude that there is no general recipe on the process of re-engineering in the railway of any country. Decisions which were made in different countries, despite the fact that the approaches to the process of re-engineering were different, the world experience has demonstrated some similar actions that are common for these processes. I would like to present the recommendations and approaches which show the common actions that are useful for all railway administration. The article is built on theoretical and practical issues that will help us to learn about the project management of re-engineering and give an idea how to use it in our future career.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77588898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multiobjective optimization of multipass turning machining process using the genetic algorithms solution 多道次车削加工过程多目标优化的遗传算法求解
JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering Pub Date : 2019-07-15 DOI: 10.30464/JMEE.2019.3.2.97
P. Amiolemhen, J. Eseigbe
{"title":"Multiobjective optimization of multipass turning machining process using the genetic algorithms solution","authors":"P. Amiolemhen, J. Eseigbe","doi":"10.30464/JMEE.2019.3.2.97","DOIUrl":"https://doi.org/10.30464/JMEE.2019.3.2.97","url":null,"abstract":": The study involves the development of multi-objective optimization model for turning machining process. This model was developed using a GA - based weighted-sum of minimum production cost and time criteria of multipass turning machining process subject to relevant technological/practical constraints. The results of the single-objective machining process optimization models for the multipass turning machining process when compared with those of multi-objective machining process model yielded the minimum production cost and minimum production time as $5.775 and 8.320 min respectively (and the corresponding production time and production cost as 12.996 min and $6.992, respectively), while those of the multi-objective machining process optimization model were $5.841and 9.097 min. Thus, the multi-objective machining process optimization model performed better than each of the single-objective model for the two criteria of minimum production cost and minimum production time respectively. The results also show that minimum production time model performs better than the minimum production cost model. For the example considered, the multi-objective model gave a lower production time of 30.0% than the corresponding production time obtained from the minimum production cost model, while it gave a lower production cost of 16.46% than the corresponding cost obtained by the minimum production time model.","PeriodicalId":32811,"journal":{"name":"JEMMME Journal of Energy Mechanical Material and Manufacturing Engineering","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76829050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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