Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775591
M. Ghodsi, S. M. R. Loghmanian
Mechanical work usually has adverse effect on magnetic properties of soft magnetic materials. It reduces saturation magnetic flux density, decreases drastically magnetic permeability, widens hysteresis loop and decreases magnetostriction coefficient which leads to less strain under certain magnetic field intensity. This paper presents a practical way to improve magnetic properties of low-carbon steel, which had already been deformed by forge technique.
{"title":"Effect of forging on ferromagnetic properties of low-carbon steel","authors":"M. Ghodsi, S. M. R. Loghmanian","doi":"10.1109/ICMSAO.2011.5775591","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775591","url":null,"abstract":"Mechanical work usually has adverse effect on magnetic properties of soft magnetic materials. It reduces saturation magnetic flux density, decreases drastically magnetic permeability, widens hysteresis loop and decreases magnetostriction coefficient which leads to less strain under certain magnetic field intensity. This paper presents a practical way to improve magnetic properties of low-carbon steel, which had already been deformed by forge technique.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"24 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89131900","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775529
Yasmin Hassan, M. El-Tarhuni
In this paper, we compare the performance of two peak-to-average power ratio (PAPR) reduction schemes. Specifically, selected mapping (SLM) and partial transmit sequence (PTS) schemes are investigated. The analysis was performed for an OFDM system aligned with the IEEE 802.16e standard with 256 and 1024 subcarriers. The results indicate that SLM has superior performance over PTS in reducing PAPR for the same number of subcarriers but at the expense of higher computational complexity. We have also investigated a modified selected mapping scheme with lower complexity.
{"title":"A comparison of SLM and PTS peak-to-average power ratio reduction schemes for OFDM systems","authors":"Yasmin Hassan, M. El-Tarhuni","doi":"10.1109/ICMSAO.2011.5775529","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775529","url":null,"abstract":"In this paper, we compare the performance of two peak-to-average power ratio (PAPR) reduction schemes. Specifically, selected mapping (SLM) and partial transmit sequence (PTS) schemes are investigated. The analysis was performed for an OFDM system aligned with the IEEE 802.16e standard with 256 and 1024 subcarriers. The results indicate that SLM has superior performance over PTS in reducing PAPR for the same number of subcarriers but at the expense of higher computational complexity. We have also investigated a modified selected mapping scheme with lower complexity.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"37 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80734631","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5943733
M. F. I. Khamis, Z. Baharudin, N. H. Hamid, M. Abdullah, F. Nordin
Load forecasting has an important role in planning and operations in power generation plant. Many new forecasting systems have been presented and proposed in recent years. Gas District Cooling (GDC) plant was built to supply electricity and chilled water for Universiti Teknologi PETRONAS (UTP). It operates on island operation during normal mode with utility company supply on hot standby mode. The plant has two generation units rated at 4.2 MW each, with a maximum generation capacity of 8.4 MW. In this paper, a practical short term load forecasting (STLF) method for UTP is presented. In the proposed method, a fuzzy logic approach was used and STLF model was designed based on UTP 2008 electricity demand data. The proposed model was tested with actual load data for January till June 2009 period. The test results show that the mean absolute percentage error of 4.59%.
{"title":"Short term load forecasting for small scale power system using fuzzy logic","authors":"M. F. I. Khamis, Z. Baharudin, N. H. Hamid, M. Abdullah, F. Nordin","doi":"10.1109/ICMSAO.2011.5943733","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5943733","url":null,"abstract":"Load forecasting has an important role in planning and operations in power generation plant. Many new forecasting systems have been presented and proposed in recent years. Gas District Cooling (GDC) plant was built to supply electricity and chilled water for Universiti Teknologi PETRONAS (UTP). It operates on island operation during normal mode with utility company supply on hot standby mode. The plant has two generation units rated at 4.2 MW each, with a maximum generation capacity of 8.4 MW. In this paper, a practical short term load forecasting (STLF) method for UTP is presented. In the proposed method, a fuzzy logic approach was used and STLF model was designed based on UTP 2008 electricity demand data. The proposed model was tested with actual load data for January till June 2009 period. The test results show that the mean absolute percentage error of 4.59%.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87281607","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775550
S. Agrawal, L. M. Tiwari, S. Kapoor
In the present paper analytical study of expecting phenomena is shown. There are two type of server is taken which is called as S1 and S2 in which S1 and S2 is different from each other. Probability based study has to be taken for their comparative work. The mathematical formulation of steady state situation is formed in terms of difference equation. The generating function technique has been adopted for the solution for the above set of model. Marginal Mean Queue Length, Mean Queue Length is also analyzed in this study. Finally the decision making scheme is comparatively good from the available lit.
{"title":"Model of bi-tandem queues with multi input arrival and with linear and non linear service rates","authors":"S. Agrawal, L. M. Tiwari, S. Kapoor","doi":"10.1109/ICMSAO.2011.5775550","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775550","url":null,"abstract":"In the present paper analytical study of expecting phenomena is shown. There are two type of server is taken which is called as S1 and S2 in which S1 and S2 is different from each other. Probability based study has to be taken for their comparative work. The mathematical formulation of steady state situation is formed in terms of difference equation. The generating function technique has been adopted for the solution for the above set of model. Marginal Mean Queue Length, Mean Queue Length is also analyzed in this study. Finally the decision making scheme is comparatively good from the available lit.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"5 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89795040","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775565
Akira Matsui, Y. Yamamoto, Yasuhiro Matsui
Since giant magnetostriction was first found at aroom temperature in early 1980s, there have been many applications proposed. This paper introduces a novel application which is able to generate electric power by utilizing a reverse transduction of the material called Villari effect. The generator uses vibration as a power source which is easily accessible in our daily life such as traffic-induced ground vibration or bridge vibration. We designed and fabricated a prototype of the generator. This report presents basic characteristics of the prototype and shows potential in practical use.
{"title":"Prototyping eco power generator using giant magnetostriction material","authors":"Akira Matsui, Y. Yamamoto, Yasuhiro Matsui","doi":"10.1109/ICMSAO.2011.5775565","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775565","url":null,"abstract":"Since giant magnetostriction was first found at aroom temperature in early 1980s, there have been many applications proposed. This paper introduces a novel application which is able to generate electric power by utilizing a reverse transduction of the material called Villari effect. The generator uses vibration as a power source which is easily accessible in our daily life such as traffic-induced ground vibration or bridge vibration. We designed and fabricated a prototype of the generator. This report presents basic characteristics of the prototype and shows potential in practical use.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"11 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91269545","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775542
M. Mirzaei, H. Fazeli
In this paper, the shape identification method in the Inverse Heat Conduction Problems (IHCP) is applied to estimate the shape of frost on a refrigeration tube. The inverse algorithm consists of direct, inverse analysis and gradient-based optimization method. The direct analysis used Finite Element Method (FEM) in an unstructured grid system to solve the direct heat conduction problem. The inverse analysis is based on recording temperatures data on surface of refrigeration tube that calculates the objective function. The employed gradient-based optimization method is constructed using the adjoint, sensitivity, and conjugate gradient method that are used to calculate the gradient of objective function, step size, and minimizing the objective function, respectively. The effect of shape scales and noisy temperature data are investigated. The results show that this proposed inverse algorithm is more efficient in prediction of frost formation.
{"title":"Shape identification of frost formation around a refrigeration tube via adjoint-based optimization method","authors":"M. Mirzaei, H. Fazeli","doi":"10.1109/ICMSAO.2011.5775542","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775542","url":null,"abstract":"In this paper, the shape identification method in the Inverse Heat Conduction Problems (IHCP) is applied to estimate the shape of frost on a refrigeration tube. The inverse algorithm consists of direct, inverse analysis and gradient-based optimization method. The direct analysis used Finite Element Method (FEM) in an unstructured grid system to solve the direct heat conduction problem. The inverse analysis is based on recording temperatures data on surface of refrigeration tube that calculates the objective function. The employed gradient-based optimization method is constructed using the adjoint, sensitivity, and conjugate gradient method that are used to calculate the gradient of objective function, step size, and minimizing the objective function, respectively. The effect of shape scales and noisy temperature data are investigated. The results show that this proposed inverse algorithm is more efficient in prediction of frost formation.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89571165","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775618
P. Paćko, L. Ambrozinski, T. Uhl
Structure damage modelling for the simulation of elastic wave propagation is essential for simulation-based testing of structural health monitoring (SHM) systems. Reflection, transmission and other complex phenomena related to elastic wave interaction with structure defects need to be reproduced by the simulation method to replace physical testing by numerical one and aid the design process of SHM system. Authors review commonly used methods for the simulation of elastic wave propagation pointing out their advantages and disadvantages. Subsequently methods for crack and delamination modelling are presented. Proposed models are used for numerical testing of designed SHM system. Simulation results are compared with experimental ones, showing very good agreement. Finally, structure damage models are used for testing delamination localization algorithm.
{"title":"Structure damage modelling for guided waves-based SHM systems testing","authors":"P. Paćko, L. Ambrozinski, T. Uhl","doi":"10.1109/ICMSAO.2011.5775618","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775618","url":null,"abstract":"Structure damage modelling for the simulation of elastic wave propagation is essential for simulation-based testing of structural health monitoring (SHM) systems. Reflection, transmission and other complex phenomena related to elastic wave interaction with structure defects need to be reproduced by the simulation method to replace physical testing by numerical one and aid the design process of SHM system. Authors review commonly used methods for the simulation of elastic wave propagation pointing out their advantages and disadvantages. Subsequently methods for crack and delamination modelling are presented. Proposed models are used for numerical testing of designed SHM system. Simulation results are compared with experimental ones, showing very good agreement. Finally, structure damage models are used for testing delamination localization algorithm.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89708783","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775642
J. Klemeš, P. Varbanov
Process Integration (PI) is a powerful tool for designing and optimising processes for energy efficiency and sustainability. It has been widely extended and become both a part of most good degree studies curricula as a routine tool for advanced design and optimisation in various industries. However, sometimes its simplicity is still misunderstood. Even PI and in this contribution specifically heat integration (HI) has some potential pitfalls related to the problem formulation and data extraction. Regardless of the precision used, the results largely depend on solving the correct problem — i.e. if the formulation reflects the reality adequately and if the appropriate data have been extracted. An incorrect data extraction has been the reason for conclusions that PI did not work. When revisiting most of those problems, it becomes obvious that it was not a fault of the PI methodology, but an inexperienced user.
{"title":"Heat integration — History, recent developments and achievements","authors":"J. Klemeš, P. Varbanov","doi":"10.1109/ICMSAO.2011.5775642","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775642","url":null,"abstract":"Process Integration (PI) is a powerful tool for designing and optimising processes for energy efficiency and sustainability. It has been widely extended and become both a part of most good degree studies curricula as a routine tool for advanced design and optimisation in various industries. However, sometimes its simplicity is still misunderstood. Even PI and in this contribution specifically heat integration (HI) has some potential pitfalls related to the problem formulation and data extraction. Regardless of the precision used, the results largely depend on solving the correct problem — i.e. if the formulation reflects the reality adequately and if the appropriate data have been extracted. An incorrect data extraction has been the reason for conclusions that PI did not work. When revisiting most of those problems, it becomes obvious that it was not a fault of the PI methodology, but an inexperienced user.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"109 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78400091","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775573
S. Robinson, R. Nakkeeran
In this paper, Photonic Band Gap (PBG) structure of two-dimensional Photonic Crystal (2D PC) using circular rods is presented. The variation of PBG with respect to rod radius, lattice constant and dielectric constant of the material is studied for ITU-T G.694.2 Coarse Wavelength Division Multiplexing (CWDM) systems. The band gap is calculated using Plane Wave Expansion (PWE) method. Further, effect of filling factor and position of the lattice is examined using Bandsolve simulator of Rsoft.
{"title":"Numerical simulation of photonic band gap structures for CWDM applications","authors":"S. Robinson, R. Nakkeeran","doi":"10.1109/ICMSAO.2011.5775573","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775573","url":null,"abstract":"In this paper, Photonic Band Gap (PBG) structure of two-dimensional Photonic Crystal (2D PC) using circular rods is presented. The variation of PBG with respect to rod radius, lattice constant and dielectric constant of the material is studied for ITU-T G.694.2 Coarse Wavelength Division Multiplexing (CWDM) systems. The band gap is calculated using Plane Wave Expansion (PWE) method. Further, effect of filling factor and position of the lattice is examined using Bandsolve simulator of Rsoft.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"25 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75284436","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775612
E. Khorshid, B. Alshriaan, A. Alsairafi, A. Alazemi, A. Alhaddad
This research presents a theoretical investigation on the performance of a vapour compression refrigerating system using different mixtures of Hydrocarbons and Hydrofluorocarbons refrigerants as a refrigerant. Genetic Algorithm method was used to solve a nonlinear constrained optimization problem for the selection of the best blend. The performance of new mixtures of Hydrocarbons and Hydrofluorocarbons refrigerants is compared with the performance of R-134a. The optimal solution of the new blend is has an improvement of 11.9% in the coefficient of performance over the currently used blend of R134a.
{"title":"Performance investigation on new refrigerant mixture","authors":"E. Khorshid, B. Alshriaan, A. Alsairafi, A. Alazemi, A. Alhaddad","doi":"10.1109/ICMSAO.2011.5775612","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775612","url":null,"abstract":"This research presents a theoretical investigation on the performance of a vapour compression refrigerating system using different mixtures of Hydrocarbons and Hydrofluorocarbons refrigerants as a refrigerant. Genetic Algorithm method was used to solve a nonlinear constrained optimization problem for the selection of the best blend. The performance of new mixtures of Hydrocarbons and Hydrofluorocarbons refrigerants is compared with the performance of R-134a. The optimal solution of the new blend is has an improvement of 11.9% in the coefficient of performance over the currently used blend of R134a.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"35 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72941316","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}
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