Pub Date : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934313
Mohamed Marzouk, I. Nejdi, Youssef Rhazi, Mohamed Saih
The new proposed triband and ultra-wideband (UWB) fractal antenna design in this letter is based on octagonal fractal geometry with miniaturized dimensions of $45times 42times 1.6 mm^{3}$. The antenna support is the dielectric FR4 with a permittivity of 4.4, and a dielectric loss tangent of 0.02. The patch is alimented by a microstrip line of impedance 50 ohms. The antenna is designed and simulated using the High-Frequency Structure Simulator (HFSS) and the results are confirmed by the CST studio. A high gain is achieved which can reach 8.7 dB and an ultra-wideband which gets to 4.2 GHz. With this structure, the antenna can cover the covering (2.4-2.484 GHz/5.15-5.825 GHz) WLAN, (2.5-2.69 GHz/3.4-3.69 GHz/5.25-5.85 GHz) WiMAX, (2.5-2.69 GHz) LTE, (2.4-2.4835 GHz) Bluetooth, (2.4-2.490GHz/3.6575-3.690GHz/5.180-5.825GHz) Wi-Fi, (4–8 GHz) C band and (8–12 GHz) for X band applications.
{"title":"Multiband and Wide Band Octagonal Fractal Antenna for Telecommunication Applications","authors":"Mohamed Marzouk, I. Nejdi, Youssef Rhazi, Mohamed Saih","doi":"10.1109/ICOA55659.2022.9934313","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934313","url":null,"abstract":"The new proposed triband and ultra-wideband (UWB) fractal antenna design in this letter is based on octagonal fractal geometry with miniaturized dimensions of $45times 42times 1.6 mm^{3}$. The antenna support is the dielectric FR4 with a permittivity of 4.4, and a dielectric loss tangent of 0.02. The patch is alimented by a microstrip line of impedance 50 ohms. The antenna is designed and simulated using the High-Frequency Structure Simulator (HFSS) and the results are confirmed by the CST studio. A high gain is achieved which can reach 8.7 dB and an ultra-wideband which gets to 4.2 GHz. With this structure, the antenna can cover the covering (2.4-2.484 GHz/5.15-5.825 GHz) WLAN, (2.5-2.69 GHz/3.4-3.69 GHz/5.25-5.85 GHz) WiMAX, (2.5-2.69 GHz) LTE, (2.4-2.4835 GHz) Bluetooth, (2.4-2.490GHz/3.6575-3.690GHz/5.180-5.825GHz) Wi-Fi, (4–8 GHz) C band and (8–12 GHz) for X band applications.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127272477","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 : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934713
Xiaoxiao Song, E. Poirson, Yannick Ravaut, F. Bennis
An optimal layout configuration has considerable impacts on industrial engineering. The conventional layout problem aims to find the optimal arrangement of components inside the container while satisfying no component overlap and no container protrusion constraints. In this paper, we address accessibility requirements in layout problems. The novel layout model consists of components with solid and virtual parts. On the one hand, virtual spaces associated with solid components represents the accessibility of component. On the other hand, characterizing accessibility as a constraint ensures components are accessible from the container's entry. The industrial layout involves various objectives and is usually formulated as a multi-objective problem. Hence, a novel multi-objective layout optimization using constructive placement and simulated annealing, named constructive optimization, is developed. A complete layout is generated by constructive placement and evaluated by simulated annealing. It only explores the feasible space and greatly reduces the computational effort. The experimental results prove that the constructive optimization method is effective in solving the problem of industrial layout.
{"title":"Multi-objective layout optimization of industrial environment","authors":"Xiaoxiao Song, E. Poirson, Yannick Ravaut, F. Bennis","doi":"10.1109/ICOA55659.2022.9934713","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934713","url":null,"abstract":"An optimal layout configuration has considerable impacts on industrial engineering. The conventional layout problem aims to find the optimal arrangement of components inside the container while satisfying no component overlap and no container protrusion constraints. In this paper, we address accessibility requirements in layout problems. The novel layout model consists of components with solid and virtual parts. On the one hand, virtual spaces associated with solid components represents the accessibility of component. On the other hand, characterizing accessibility as a constraint ensures components are accessible from the container's entry. The industrial layout involves various objectives and is usually formulated as a multi-objective problem. Hence, a novel multi-objective layout optimization using constructive placement and simulated annealing, named constructive optimization, is developed. A complete layout is generated by constructive placement and evaluated by simulated annealing. It only explores the feasible space and greatly reduces the computational effort. The experimental results prove that the constructive optimization method is effective in solving the problem of industrial layout.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"27 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130633683","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 : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934119
Jouilil Youness, Mentagui Driss
This manuscript aims to study and compare the Long Short-Term Memory (LSTM) Deep learning to Auto regressive Integrated Moving Average (ARIMA) algorithms for a univariate time series, especially for stock price series. Using the mean absolute percentage error, the mean absolute error, or either root-mean-square deviation and according to our extracted dataset, we find that the classical approaches like ARIMA out-perform deep learning ones since they are very simple to use especially for linear univariate datasets. More specifically, LSTM deep learning algorithms are more powerful and provide better results in terms of predictions.
{"title":"LSTM Deep Learning vs ARIMA Algorithms for Univariate Time Series Forecasting: A case study","authors":"Jouilil Youness, Mentagui Driss","doi":"10.1109/ICOA55659.2022.9934119","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934119","url":null,"abstract":"This manuscript aims to study and compare the Long Short-Term Memory (LSTM) Deep learning to Auto regressive Integrated Moving Average (ARIMA) algorithms for a univariate time series, especially for stock price series. Using the mean absolute percentage error, the mean absolute error, or either root-mean-square deviation and according to our extracted dataset, we find that the classical approaches like ARIMA out-perform deep learning ones since they are very simple to use especially for linear univariate datasets. More specifically, LSTM deep learning algorithms are more powerful and provide better results in terms of predictions.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132686521","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 : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934000
Hajar Lazar, Zahi Jarir
Over the last decade, the number of accidents is increased each year in the world that lead to the so called “war of roads”. Several researchers have developed models to predict accidents and to analyze the factors that may contribute to cause the traffic crashes, however it has not yet been possible to alleviate the accident in advance, where the human factor plays a very significant role. The aim of this paper is to take advantage of two key-points: to present a literature overview of road traffic accident and to propose an accident prediction architecture as a future work to prevent the crashes based on driver behavior perspective using machine learning algorithm. We will study particularly the Marrakesh city who has known as a great touristic destination that have much traffic and displacement.
{"title":"Road traffic accident prediction: a driving behavior approach","authors":"Hajar Lazar, Zahi Jarir","doi":"10.1109/ICOA55659.2022.9934000","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934000","url":null,"abstract":"Over the last decade, the number of accidents is increased each year in the world that lead to the so called “war of roads”. Several researchers have developed models to predict accidents and to analyze the factors that may contribute to cause the traffic crashes, however it has not yet been possible to alleviate the accident in advance, where the human factor plays a very significant role. The aim of this paper is to take advantage of two key-points: to present a literature overview of road traffic accident and to propose an accident prediction architecture as a future work to prevent the crashes based on driver behavior perspective using machine learning algorithm. We will study particularly the Marrakesh city who has known as a great touristic destination that have much traffic and displacement.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"1954 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129321605","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 : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934559
Sara Samine, M. Zemzami, N. Hmina, M. Lagache, S. Belhouideg
Currently, the Artificial Intelligence (AI) and Machine Learning (ML) are used several engineering applications. They allow to reduce the human workload and to improve the quality of life. In addition, nearly every sector in the world intends to use artificial intelligence and machine learning. So, machine learning is a field of artificial intelligence that consists of programming a machine to learn to perform tasks by studying examples of these tasks. In other words, it consists of developing a model using an optimization algorithm to minimize the errors between the model and the data. The aim of this paper is to describe the role of artificial intelligence and machine learning and its current applications in material scientist field. The principle of deep learning and Convolutional Neural Networks (CNNs) and their use in image classification is explained.
{"title":"Towards the use of artificial intelligence and machine learning in material scientist field","authors":"Sara Samine, M. Zemzami, N. Hmina, M. Lagache, S. Belhouideg","doi":"10.1109/ICOA55659.2022.9934559","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934559","url":null,"abstract":"Currently, the Artificial Intelligence (AI) and Machine Learning (ML) are used several engineering applications. They allow to reduce the human workload and to improve the quality of life. In addition, nearly every sector in the world intends to use artificial intelligence and machine learning. So, machine learning is a field of artificial intelligence that consists of programming a machine to learn to perform tasks by studying examples of these tasks. In other words, it consists of developing a model using an optimization algorithm to minimize the errors between the model and the data. The aim of this paper is to describe the role of artificial intelligence and machine learning and its current applications in material scientist field. The principle of deep learning and Convolutional Neural Networks (CNNs) and their use in image classification is explained.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129402055","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 : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934437
Wassim Chouaf, A. Abbou, A. Agga
This paper presents optimal energy management using dynamic programming for a grid-connected including PV system and battery energy storage system (BESS). The main goal is to minimize the system's cash flow and the power exchange with the main grid and also to maintain the balance between generation and consumption as well as optimal operating conditions. Another method of management based on rules, the ruled-based technique, has been proposed which guarantees the respect of the imposed constraints, but which has limits that will be exposed. A simulation has been carried out to verify and evaluate the efficiency of the proposed methods.
{"title":"Optimal energy management for a connected microgrid using dynamic programming method","authors":"Wassim Chouaf, A. Abbou, A. Agga","doi":"10.1109/ICOA55659.2022.9934437","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934437","url":null,"abstract":"This paper presents optimal energy management using dynamic programming for a grid-connected including PV system and battery energy storage system (BESS). The main goal is to minimize the system's cash flow and the power exchange with the main grid and also to maintain the balance between generation and consumption as well as optimal operating conditions. Another method of management based on rules, the ruled-based technique, has been proposed which guarantees the respect of the imposed constraints, but which has limits that will be exposed. A simulation has been carried out to verify and evaluate the efficiency of the proposed methods.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133440319","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 : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934181
E. Tarasova, Klavdiya Olegovna Bochenina
The paper considers the assignment problem as a model of online schedules with a deadline in a personality-sensitive setting. In this setting, processing speeds are heterogeneous and depend not only on a type of request but also on individual characteristics of groups of customers and operators. We propose a formal statement of the optimization problem and discuss its applicability for real-world scenarios using the example of a call center request processing system.
{"title":"A conceptual framework for personality-sensitive scheduling models","authors":"E. Tarasova, Klavdiya Olegovna Bochenina","doi":"10.1109/ICOA55659.2022.9934181","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934181","url":null,"abstract":"The paper considers the assignment problem as a model of online schedules with a deadline in a personality-sensitive setting. In this setting, processing speeds are heterogeneous and depend not only on a type of request but also on individual characteristics of groups of customers and operators. We propose a formal statement of the optimization problem and discuss its applicability for real-world scenarios using the example of a call center request processing system.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"1 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131479539","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 : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934530
Ikram Daanoune, A. Baghdad
WSNs are getting to occupy a large part of daily life for many applications such as healthcare, military, environment, home, and so forth. Sensor nodes in WSNs are powered by small batteries and can be deployed in a hostile environment, where replacing or recharging them is difficult. As a result, WSNs are energy-constrained. In this context, several routing protocols are proposed to extend the network lifetime and optimize energy consumption. However, routing protocols can not guarantee communication reliability. To achieve the high-reliability requirements of data transmitted using the routing protocols, using channel coding in the physical layer is proposed. For this purpose, a comparative study is carried out in this work by comparing two different modern coding techniques, namely LDPC and RS coding. The objective of this paper is to determine which coding scheme better satisfies the requirements of clustered routing protocols, in particular the LEACH protocol. Simulations have shown that LDPC coding achieves good reliability performance over RS when implemented with the LEACH protocol by increasing the coding gain by 62.5% at a BER of 10−2.
{"title":"Reliable and energy-efficient transmission scheme based on error correction codes and clustered routing protocol for WSN","authors":"Ikram Daanoune, A. Baghdad","doi":"10.1109/ICOA55659.2022.9934530","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934530","url":null,"abstract":"WSNs are getting to occupy a large part of daily life for many applications such as healthcare, military, environment, home, and so forth. Sensor nodes in WSNs are powered by small batteries and can be deployed in a hostile environment, where replacing or recharging them is difficult. As a result, WSNs are energy-constrained. In this context, several routing protocols are proposed to extend the network lifetime and optimize energy consumption. However, routing protocols can not guarantee communication reliability. To achieve the high-reliability requirements of data transmitted using the routing protocols, using channel coding in the physical layer is proposed. For this purpose, a comparative study is carried out in this work by comparing two different modern coding techniques, namely LDPC and RS coding. The objective of this paper is to determine which coding scheme better satisfies the requirements of clustered routing protocols, in particular the LEACH protocol. Simulations have shown that LDPC coding achieves good reliability performance over RS when implemented with the LEACH protocol by increasing the coding gain by 62.5% at a BER of 10−2.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130311507","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 : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934325
Jihad Satri, Chakib El Mokhi, H. Hachimi
After the implementation of the advanced regionalization in Morocco, political and public decision-makers will need to be equipped with a set of technological tools to improve decision making. Artificial intelligence systems are generally better at making decisions and predictions using a technique called machine learning. In this article we will discuss a solution to predict outcomes of the different territorial projects of the regional council of Beni Mellal–Khenifra in Morocco. For this a dataset containing 526 conventions was collected, for each one there is at least one project (more than 700 projects). Then, this dataset of project will be processed for the purpose of extracting the most important characteristics which can control the outcomes. Afterwards, a set of classification algorithms will be applied on the available dataset. Finally, a general conclusion will be drawn.
{"title":"Artificial intelligence and machine learning for a better decision making in the public sector","authors":"Jihad Satri, Chakib El Mokhi, H. Hachimi","doi":"10.1109/ICOA55659.2022.9934325","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934325","url":null,"abstract":"After the implementation of the advanced regionalization in Morocco, political and public decision-makers will need to be equipped with a set of technological tools to improve decision making. Artificial intelligence systems are generally better at making decisions and predictions using a technique called machine learning. In this article we will discuss a solution to predict outcomes of the different territorial projects of the regional council of Beni Mellal–Khenifra in Morocco. For this a dataset containing 526 conventions was collected, for each one there is at least one project (more than 700 projects). Then, this dataset of project will be processed for the purpose of extracting the most important characteristics which can control the outcomes. Afterwards, a set of classification algorithms will be applied on the available dataset. Finally, a general conclusion will be drawn.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132117824","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 : 2022-10-06DOI: 10.1109/ICOA55659.2022.9934585
M. Abouelmajd, Issam El Khadiri, Ismail Ezzaraa, M. Zemzami, Mohamed El Afi, M. Lagache, B. AlMangour, I. Arroub, Rachid Bouferra, M. Essaleh, A. Bahlaoui, N. Hmina, S. Belhouideg
Triply Periodic Minimal Surface (TPMS) lattice structures are characterized by their varied microstructures and mechanical properties, which leads to better mechanical performance compared to classical and uniform structures. TPMS-based lattices are mainly used in applications requiring low densities and high mechanical strength. In this work, unit cell size and type grading are mechanically investigated for solid network structures with topologies based on triply periodic minimal surfaces, namely Neovius, Primitive, and IWP. For unit cell size grading, the structures were designed with two dimensions, such as 1 mm and 5 mm. The mechanical test was carried out to investigate the tensile mechanical performance of TPMS-based solid network structures under tensile loading. The tensile test was performed using the finite element software Ansys Workbench. The results obtained show that unit cell type affects the mechanical behavior of lattice objects. Furthermore, the unit cell dimensions do not influence the mechanical performance of 3D printed solid network structures. The suitability of using TPMS-based solid network structures in the implants field was confirmed by the tensile test results.
{"title":"Mechanical Behavior of TPMS-Based Solid Network Structures Obtained by Additive Manufacturing Technology","authors":"M. Abouelmajd, Issam El Khadiri, Ismail Ezzaraa, M. Zemzami, Mohamed El Afi, M. Lagache, B. AlMangour, I. Arroub, Rachid Bouferra, M. Essaleh, A. Bahlaoui, N. Hmina, S. Belhouideg","doi":"10.1109/ICOA55659.2022.9934585","DOIUrl":"https://doi.org/10.1109/ICOA55659.2022.9934585","url":null,"abstract":"Triply Periodic Minimal Surface (TPMS) lattice structures are characterized by their varied microstructures and mechanical properties, which leads to better mechanical performance compared to classical and uniform structures. TPMS-based lattices are mainly used in applications requiring low densities and high mechanical strength. In this work, unit cell size and type grading are mechanically investigated for solid network structures with topologies based on triply periodic minimal surfaces, namely Neovius, Primitive, and IWP. For unit cell size grading, the structures were designed with two dimensions, such as 1 mm and 5 mm. The mechanical test was carried out to investigate the tensile mechanical performance of TPMS-based solid network structures under tensile loading. The tensile test was performed using the finite element software Ansys Workbench. The results obtained show that unit cell type affects the mechanical behavior of lattice objects. Furthermore, the unit cell dimensions do not influence the mechanical performance of 3D printed solid network structures. The suitability of using TPMS-based solid network structures in the implants field was confirmed by the tensile test results.","PeriodicalId":345017,"journal":{"name":"2022 8th International Conference on Optimization and Applications (ICOA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132519348","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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