Pub Date : 2016-09-01DOI: 10.1109/MEDO.2016.7746542
Aleksandru Vuja, M. Lečić, Vesna-Mila Colic-Damjanovic
Paradigm shift in architectural design initiated by new technological developments has replaced conventional processes of architectural model design with dynamic transformative ones. This paper examines some of the recent developments in the architectural design through analysis of selected architectural projects and their models. The focus of the paper is the analysis of some new approaches in architectural design through implementation of digital design and novel digital fabrication technologies.
{"title":"Conducting architectural experiments: Some new approaches in architectural design","authors":"Aleksandru Vuja, M. Lečić, Vesna-Mila Colic-Damjanovic","doi":"10.1109/MEDO.2016.7746542","DOIUrl":"https://doi.org/10.1109/MEDO.2016.7746542","url":null,"abstract":"Paradigm shift in architectural design initiated by new technological developments has replaced conventional processes of architectural model design with dynamic transformative ones. This paper examines some of the recent developments in the architectural design through analysis of selected architectural projects and their models. The focus of the paper is the analysis of some new approaches in architectural design through implementation of digital design and novel digital fabrication technologies.","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127951438","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 : 2016-09-01DOI: 10.1109/MEDO.2016.7746551
P. Davenport, S. Noroozi, P. Sewell, S. Zahedi
Ensemble neural networks are a commonly used as a method to boost performance of artificial intelligence applications. By collating the response of multiple networks with differences in composition or training and hence a range of estimation error, an overall improvement in the appraisal of new problem data can be made. In this work, artificial neural networks are used as an inverse-problem solver to calculate the internal distribution of pressures on a lower limb prosthetic socket using information on the deformation of the external surface of the device. Investigation into the impact of noise injection was studied by changing the maximum noise alteration parameter and the differences in network composition by altering the variance around this maximum noise value. Results indicate that use of ensembles of networks provides a meaningful improvement in overall performance. RMS error expressed as a percentage of the total applied load was 3.86% for the best performing ensemble, compared to 5.32% for the mean performance of the networks making up that ensemble. Although noise injection resulted in an improvement in typical network estimates of load distribution, ensembles performed better with low noise and low variance between network training patterns. These results mean that ensembles have been implemented in the research tool under development.
{"title":"Applying ensemble neural networks to an inverse problem solution to prosthetic socket pressure measurement","authors":"P. Davenport, S. Noroozi, P. Sewell, S. Zahedi","doi":"10.1109/MEDO.2016.7746551","DOIUrl":"https://doi.org/10.1109/MEDO.2016.7746551","url":null,"abstract":"Ensemble neural networks are a commonly used as a method to boost performance of artificial intelligence applications. By collating the response of multiple networks with differences in composition or training and hence a range of estimation error, an overall improvement in the appraisal of new problem data can be made. In this work, artificial neural networks are used as an inverse-problem solver to calculate the internal distribution of pressures on a lower limb prosthetic socket using information on the deformation of the external surface of the device. Investigation into the impact of noise injection was studied by changing the maximum noise alteration parameter and the differences in network composition by altering the variance around this maximum noise value. Results indicate that use of ensembles of networks provides a meaningful improvement in overall performance. RMS error expressed as a percentage of the total applied load was 3.86% for the best performing ensemble, compared to 5.32% for the mean performance of the networks making up that ensemble. Although noise injection resulted in an improvement in typical network estimates of load distribution, ensembles performed better with low noise and low variance between network training patterns. These results mean that ensembles have been implemented in the research tool under development.","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115752801","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 : 2016-09-01DOI: 10.1109/MEDO.2016.7746536
James Hawkins, P. Sewell, Mihai Dupac
In this paper the validation of a rig capable of simulating the dynamic response of an energy storing and returning composite prosthetic foot during amputee running is considered. It is shown that the rig can simulate the running action of an amputee runner and return similar ground contact time. It has also been shown that if a small input force is applied in a timed and sympathetic manner to the prosthetic spring-mass system the amplitude of oscillation increases which agrees with results of previous research. The rig will allow the design variables that contribute to the response of a prosthetic foot during running to be understood and optimised to possible improve the foot's performance.
{"title":"Understanding the design variables that contribute to the response of a prosthetic foot: Part II — Rig validation","authors":"James Hawkins, P. Sewell, Mihai Dupac","doi":"10.1109/MEDO.2016.7746536","DOIUrl":"https://doi.org/10.1109/MEDO.2016.7746536","url":null,"abstract":"In this paper the validation of a rig capable of simulating the dynamic response of an energy storing and returning composite prosthetic foot during amputee running is considered. It is shown that the rig can simulate the running action of an amputee runner and return similar ground contact time. It has also been shown that if a small input force is applied in a timed and sympathetic manner to the prosthetic spring-mass system the amplitude of oscillation increases which agrees with results of previous research. The rig will allow the design variables that contribute to the response of a prosthetic foot during running to be understood and optimised to possible improve the foot's performance.","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130561787","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 : 2016-09-01DOI: 10.1109/MEDO.2016.7746546
Marko Bezbradica, Hans Kerkvliet, Iván Montenegro Borbolla, P. Lehtimaki
The aging of wind turbines worldwide, combined with substantial technological developments, implies an increasing number of upcoming end-of-service life decisions. Wind farm repowering may be financially viable as some of the decommissioning and installation expenses can be shared and due to the lower project risk given the well-known wind resource. However, the decision to repower a site is influenced by a list of factors and key stakeholders. Given the complexity of the decision-making process, the use of multi-criteria decision analysis provides a valuable tool for decision-makers, facilitating a structured framework to identify the best possible option for all stakeholders. In this study, PROMETHEE II method is applied to the case of Bockstigen offshore wind farm. Four scenarios were designed, varying the total capacity and the number of turbines, and evaluated against fourteen criteria and seven relevant stakeholders, including their preferences for all of the criteria. Application of the PROMETHEE II provided a ranking of repowering scenarios, offering several key conclusions, such as the link between wind park capacity and stakeholder preference. Moreover, the consensus likelihood analysis between stakeholders suggests one scenario with low possibility of consensus, two with medium, and one with high, making it the most likely to succeed.
{"title":"Introducing multi-criteria decision analysis for wind farm repowering: A case study on Gotland","authors":"Marko Bezbradica, Hans Kerkvliet, Iván Montenegro Borbolla, P. Lehtimaki","doi":"10.1109/MEDO.2016.7746546","DOIUrl":"https://doi.org/10.1109/MEDO.2016.7746546","url":null,"abstract":"The aging of wind turbines worldwide, combined with substantial technological developments, implies an increasing number of upcoming end-of-service life decisions. Wind farm repowering may be financially viable as some of the decommissioning and installation expenses can be shared and due to the lower project risk given the well-known wind resource. However, the decision to repower a site is influenced by a list of factors and key stakeholders. Given the complexity of the decision-making process, the use of multi-criteria decision analysis provides a valuable tool for decision-makers, facilitating a structured framework to identify the best possible option for all stakeholders. In this study, PROMETHEE II method is applied to the case of Bockstigen offshore wind farm. Four scenarios were designed, varying the total capacity and the number of turbines, and evaluated against fourteen criteria and seven relevant stakeholders, including their preferences for all of the criteria. Application of the PROMETHEE II provided a ranking of repowering scenarios, offering several key conclusions, such as the link between wind park capacity and stakeholder preference. Moreover, the consensus likelihood analysis between stakeholders suggests one scenario with low possibility of consensus, two with medium, and one with high, making it the most likely to succeed.","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127621149","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 : 2016-09-01DOI: 10.1109/MEDO.2016.7746554
Amela Husić
Termis is a tool for hydraulic and thermal modelling which simulate behaving of flow, pressure and temperature in distribution network. Termis supports temperature optimization. The following paper is an overview of the principles and processes that enable us to perform temperature optimization in Termis. In this paper I will show the temperature optimization of district heating network in Tuzla. The purpose of temperature optimization is to minimize the total production and distribution costs, over a certain period of time in a district heating system by means of reducing the average temperature level in the system. This also allows us to meet the demand at peak periods in a more economical way while also securing defined minimum supply temperatures. The temperature will be kept at the lowest possible level in the far end of the network to provide critical customers with a sufficient level of heat supply while still running in the most cost-effective way. District heating is already a very efficient way of supplying heat to buildings, but it can become even more efficient, if the district heating system is guided in the best possible way.
{"title":"Advanced power systems — Temperature optimization of district heating network","authors":"Amela Husić","doi":"10.1109/MEDO.2016.7746554","DOIUrl":"https://doi.org/10.1109/MEDO.2016.7746554","url":null,"abstract":"Termis is a tool for hydraulic and thermal modelling which simulate behaving of flow, pressure and temperature in distribution network. Termis supports temperature optimization. The following paper is an overview of the principles and processes that enable us to perform temperature optimization in Termis. In this paper I will show the temperature optimization of district heating network in Tuzla. The purpose of temperature optimization is to minimize the total production and distribution costs, over a certain period of time in a district heating system by means of reducing the average temperature level in the system. This also allows us to meet the demand at peak periods in a more economical way while also securing defined minimum supply temperatures. The temperature will be kept at the lowest possible level in the far end of the network to provide critical customers with a sufficient level of heat supply while still running in the most cost-effective way. District heating is already a very efficient way of supplying heat to buildings, but it can become even more efficient, if the district heating system is guided in the best possible way.","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115279370","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 : 2016-09-01DOI: 10.1109/MEDO.2016.7746549
A. Glotic, N. Sarajlic, M. Kasumović, M. Tešanović, M. Sarajlić, J. Pihler
This paper presents a thermal model to simulate a thermal behavior of transformers. Heat dissipated is always problem in transformers. Coupled physical and mathematical models would assist in the development of a system that was both accurate and simple. Material properties, the geometry, heat transfer coefficients for each surface are introduced as the input values. For the accurate results of the temperature distributions, the exact values of heat transfer coefficients are required. This paper deals with identification of thermal parameters for FEM-based transformer model. The identification technique is based on stochastic optimization algorithm called Differential evolution (DE). The goal of DE is to identify adequate thermal parameters, in order to achieve best possible agreement between measured and model-calculated values of temperature. The inclusion of identified thermal parameters into the model results in good model's accuracy.
{"title":"Identification of thermal parameters for transformer FEM model by differential evolution optimization algorithm","authors":"A. Glotic, N. Sarajlic, M. Kasumović, M. Tešanović, M. Sarajlić, J. Pihler","doi":"10.1109/MEDO.2016.7746549","DOIUrl":"https://doi.org/10.1109/MEDO.2016.7746549","url":null,"abstract":"This paper presents a thermal model to simulate a thermal behavior of transformers. Heat dissipated is always problem in transformers. Coupled physical and mathematical models would assist in the development of a system that was both accurate and simple. Material properties, the geometry, heat transfer coefficients for each surface are introduced as the input values. For the accurate results of the temperature distributions, the exact values of heat transfer coefficients are required. This paper deals with identification of thermal parameters for FEM-based transformer model. The identification technique is based on stochastic optimization algorithm called Differential evolution (DE). The goal of DE is to identify adequate thermal parameters, in order to achieve best possible agreement between measured and model-calculated values of temperature. The inclusion of identified thermal parameters into the model results in good model's accuracy.","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123748967","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 : 2016-09-01DOI: 10.1109/MEDO.2016.7746540
I. Gadjanski, Danko Radulovic, Filip Vranic, M. Raspopovic
The paper describes the project of establishing educational fab lab facility - Fab Lab Petnica within the Science Center Petnica as a collaborative effort of three partners: lead partner - Fab Initiative and two other: Science Center Petnica and Belgrade Metropolitan University. It is described in detail how the Fab lab Petnica is being formed for the use 1) as a platform for hands-on STEM education through FabLab@School (the new name FabLearnLabs) approach and 2) as a channel to introduce high school students & teachers to basics of STEM entrepreneurship. 1) FabLearnLabs approach entails a) putting cutting-edge technology for digital fabrication (DF) - 3D printers & laser cutters & robotics - into the hands of high school students and b) training teachers on how to integrate DF into their STEM lectures and also how to use DF to make their own, low-cost equipment for performing scientific experiments with students in their local science clubs. In this way, Fab lab Petnica is used to implement fablearnlabs approach to enhance STEM (science, tech, engineering, math) education process in Serbia.
{"title":"Formation of Fab lab Petnica","authors":"I. Gadjanski, Danko Radulovic, Filip Vranic, M. Raspopovic","doi":"10.1109/MEDO.2016.7746540","DOIUrl":"https://doi.org/10.1109/MEDO.2016.7746540","url":null,"abstract":"The paper describes the project of establishing educational fab lab facility - Fab Lab Petnica within the Science Center Petnica as a collaborative effort of three partners: lead partner - Fab Initiative and two other: Science Center Petnica and Belgrade Metropolitan University. It is described in detail how the Fab lab Petnica is being formed for the use 1) as a platform for hands-on STEM education through FabLab@School (the new name FabLearnLabs) approach and 2) as a channel to introduce high school students & teachers to basics of STEM entrepreneurship. 1) FabLearnLabs approach entails a) putting cutting-edge technology for digital fabrication (DF) - 3D printers & laser cutters & robotics - into the hands of high school students and b) training teachers on how to integrate DF into their STEM lectures and also how to use DF to make their own, low-cost equipment for performing scientific experiments with students in their local science clubs. In this way, Fab lab Petnica is used to implement fablearnlabs approach to enhance STEM (science, tech, engineering, math) education process in Serbia.","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131634243","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 : 2016-09-01DOI: 10.1109/MEDO.2016.7746544
Dorde S. Cantrak, Novica Z. Janković, D. Ilic, M. Lečić
Design of three centrifugal pump impellers is presented in this paper. All impellers are designed in Catia software by Dassault Systems. Impellers have the same outer diameter of 50 mm, but various blade numbers: 5, 6 and 8. In addition, various design techniques are applied. These impellers are followed by the same spiral pump casing. The intention is to study the energy characteristics of the pump impellers, originally designed for various purposes on the same test rig. All three impellers are made on the 3D printing machine - Printrbot Simple. Build volume is 150 mm × 150 mm × 150 mm. Used filament is 1.75 mm PLA/PHA colorFabb 3D printing filament 1.75 mm diameter, standard black, with nozzle 0.4 mm. Print bed is not heated. First tests have shown good impeller durability in operating conditions.
{"title":"Centrifugal pumps' impellers design and digital fabrication","authors":"Dorde S. Cantrak, Novica Z. Janković, D. Ilic, M. Lečić","doi":"10.1109/MEDO.2016.7746544","DOIUrl":"https://doi.org/10.1109/MEDO.2016.7746544","url":null,"abstract":"Design of three centrifugal pump impellers is presented in this paper. All impellers are designed in Catia software by Dassault Systems. Impellers have the same outer diameter of 50 mm, but various blade numbers: 5, 6 and 8. In addition, various design techniques are applied. These impellers are followed by the same spiral pump casing. The intention is to study the energy characteristics of the pump impellers, originally designed for various purposes on the same test rig. All three impellers are made on the 3D printing machine - Printrbot Simple. Build volume is 150 mm × 150 mm × 150 mm. Used filament is 1.75 mm PLA/PHA colorFabb 3D printing filament 1.75 mm diameter, standard black, with nozzle 0.4 mm. Print bed is not heated. First tests have shown good impeller durability in operating conditions.","PeriodicalId":351424,"journal":{"name":"2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121367550","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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