Diego Gallego-García, Sergio Gallego-García, Manuel García-García
Today, a great challenge exists in predicting and assessing the behaviour of the diverse actors within planning systems. Furthermore, the effects and impacts of human decisions and actions are normally not considered in the planning process. Moreover, uncertain events and disruptions increase the lack of planning accuracy in which traditional planning driven methods often failed resulting in major deviations between expected and actual outcomes representing a great risk. In addition, the cause of the differences is often difficult to find due to the focus on the technical ideal planning method, i.e., the risk is difficult to mitigate based on this traditional approach. Thus, the purpose of the research is to develop a conceptual model on how to bring any planning system from its theoretical and ideal perspective to a reality and human-oriented planning by integrating the human factor in the planning system. The paper presents a global planning system and a conceptual model to develop the human-oriented planning model in the supply chain. A general description of how to apply it in the different supply chain areas such as procurement, production, and distribution planning is described. Moreover, the model is applied in specific cases to close the gap by generating profiles. Therefore, the model pursues to consider the behaviour of the actors and human agents within the planning within information systems thanks to quality tools. Finally, a discussion of implications in current information systems is performed.
{"title":"Application of the Human-Oriented Planning Model in the Supply Chain: From the Global System to Specific Cases","authors":"Diego Gallego-García, Sergio Gallego-García, Manuel García-García","doi":"10.4028/p-8lvu3d","DOIUrl":"https://doi.org/10.4028/p-8lvu3d","url":null,"abstract":"Today, a great challenge exists in predicting and assessing the behaviour of the diverse actors within planning systems. Furthermore, the effects and impacts of human decisions and actions are normally not considered in the planning process. Moreover, uncertain events and disruptions increase the lack of planning accuracy in which traditional planning driven methods often failed resulting in major deviations between expected and actual outcomes representing a great risk. In addition, the cause of the differences is often difficult to find due to the focus on the technical ideal planning method, i.e., the risk is difficult to mitigate based on this traditional approach. Thus, the purpose of the research is to develop a conceptual model on how to bring any planning system from its theoretical and ideal perspective to a reality and human-oriented planning by integrating the human factor in the planning system. The paper presents a global planning system and a conceptual model to develop the human-oriented planning model in the supply chain. A general description of how to apply it in the different supply chain areas such as procurement, production, and distribution planning is described. Moreover, the model is applied in specific cases to close the gap by generating profiles. Therefore, the model pursues to consider the behaviour of the actors and human agents within the planning within information systems thanks to quality tools. Finally, a discussion of implications in current information systems is performed.","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135833167","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}
Ana Maria Camacho, Alvaro Rodríguez-Prieto, Juan Claver, Jorge Ayllón, Amabel Garcia-Dominguez, Beatriz de Agustina, Eva María Rubio, Adelheid Holl, Ignacio García
Additive manufacturing (AM) has different dimensions with high potential, apart from the well-known ability to produce complex parts with great feasibility, minimum material, and without the need of expensive dies, among other advantages. Social, Environmental, Health, and Teaching and Learning are some examples of dimensions where AM can serve as an engine to promote economic changes, with special focus in depopulated areas. The “Teaching and Learning” dimension is key to promote global changes. There are two main approaches to incorporating additive manufacturing technologies into teaching and learning processes: active and passive integration of 3D printing. In this work, both approaches are considered through the example of some experiences in subjects of different disciplines such as manufacturing processes engineering and materials science. From the active approach, that is, acquiring knowledge and developing skills on AM techniques, the application of AM to generate crystal lattices of the inner structure of materials and the fabrication of patterns in foundry processes are presented as examples. Through these examples students develop skills related to design for additive manufacturing, selection of suitable materials and printing parameters, and postprocessing tasks. Form the passive approach, that is, the use of these technologies to support the learning process in technical subjects, three examples are shown: Bravais crystal lattices spatial configuration, design of foundry processes, and mechanical behavior of auxetic structures. These examples are useful to help our undergraduates understanding basic concepts that require spatial vision, as is the case of crystal lattices, improve foundry processes through the design of patterns, core boxes and casting distribution systems, and approaching to mechanical behavior of advanced materials, such as auxetic structures. This work aims to disseminate the potential of AM dimensions, such as Learning and Teaching, to boost fields of innovation.
{"title":"Other Dimensions of Additive Manufacturing: Learning and Development of Technical Skills in Bachelor Subjects","authors":"Ana Maria Camacho, Alvaro Rodríguez-Prieto, Juan Claver, Jorge Ayllón, Amabel Garcia-Dominguez, Beatriz de Agustina, Eva María Rubio, Adelheid Holl, Ignacio García","doi":"10.4028/p-pmm0zq","DOIUrl":"https://doi.org/10.4028/p-pmm0zq","url":null,"abstract":"Additive manufacturing (AM) has different dimensions with high potential, apart from the well-known ability to produce complex parts with great feasibility, minimum material, and without the need of expensive dies, among other advantages. Social, Environmental, Health, and Teaching and Learning are some examples of dimensions where AM can serve as an engine to promote economic changes, with special focus in depopulated areas. The “Teaching and Learning” dimension is key to promote global changes. There are two main approaches to incorporating additive manufacturing technologies into teaching and learning processes: active and passive integration of 3D printing. In this work, both approaches are considered through the example of some experiences in subjects of different disciplines such as manufacturing processes engineering and materials science. From the active approach, that is, acquiring knowledge and developing skills on AM techniques, the application of AM to generate crystal lattices of the inner structure of materials and the fabrication of patterns in foundry processes are presented as examples. Through these examples students develop skills related to design for additive manufacturing, selection of suitable materials and printing parameters, and postprocessing tasks. Form the passive approach, that is, the use of these technologies to support the learning process in technical subjects, three examples are shown: Bravais crystal lattices spatial configuration, design of foundry processes, and mechanical behavior of auxetic structures. These examples are useful to help our undergraduates understanding basic concepts that require spatial vision, as is the case of crystal lattices, improve foundry processes through the design of patterns, core boxes and casting distribution systems, and approaching to mechanical behavior of advanced materials, such as auxetic structures. This work aims to disseminate the potential of AM dimensions, such as Learning and Teaching, to boost fields of innovation.","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135833559","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}
Zsolt Iklodi, Zoltan Gabos, András Bártfai, Zoltan Dombovari
This study presents a time domain simulation and workpiece surface generation framework for broaching operations, carried out with broaching tools of arbitrary geometry by machine tools of general dynamics. First, a three degree of freedom simulation model is formulated by considering an adequately discretized infinitely rigid tool, and a broaching machine, which is compliant in all translational spatial directions. Taking contact loss events into account, this leads to system a piecewise-smooth delay differential equations with state dependent delays, due to the allowed deviations in the speed of cutting. Through numeric integration of these equations, the dynamic displacement and cutting edge engagement of the broaching tool are evaluated, which serve as inputs for the developed surface generation routines. Then, a discretized workpiece surface is generated by finding the last active cutting edge, and its corresponding displacement for each point, allowing the numeric investigation of surface roughness and integrity through standardized techniques. Finally, to demonstrate the capabilities of the proposed framework, force and displacement signals as well as the generated surface and its virtual quality assessment are presented for a typical broaching operation.
{"title":"Time Domain Simulation of Surface Topography in Broaching Considering Tools with General Cutting Edge Geometries and Three DoF Parametric Dynamics","authors":"Zsolt Iklodi, Zoltan Gabos, András Bártfai, Zoltan Dombovari","doi":"10.4028/p-xq6fqt","DOIUrl":"https://doi.org/10.4028/p-xq6fqt","url":null,"abstract":"This study presents a time domain simulation and workpiece surface generation framework for broaching operations, carried out with broaching tools of arbitrary geometry by machine tools of general dynamics. First, a three degree of freedom simulation model is formulated by considering an adequately discretized infinitely rigid tool, and a broaching machine, which is compliant in all translational spatial directions. Taking contact loss events into account, this leads to system a piecewise-smooth delay differential equations with state dependent delays, due to the allowed deviations in the speed of cutting. Through numeric integration of these equations, the dynamic displacement and cutting edge engagement of the broaching tool are evaluated, which serve as inputs for the developed surface generation routines. Then, a discretized workpiece surface is generated by finding the last active cutting edge, and its corresponding displacement for each point, allowing the numeric investigation of surface roughness and integrity through standardized techniques. Finally, to demonstrate the capabilities of the proposed framework, force and displacement signals as well as the generated surface and its virtual quality assessment are presented for a typical broaching operation.","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135833191","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}
Monica G. Cardoso, Enrique Ares, Luis Pinto Ferreira, Gustavo Peláez
In recent years, the general population has become increasingly aware of the importance of adopting more sustainable lifestyles. For companies, the implementation of sustainable systems is essential. This study aims to examine the contribution of simulation in combination with artificial intelligence (AI) to the sustainability of production lines. Simulation plays a crucial role for managers, as it allows them to predict future scenarios based on past experiences, allowing for more informed with the rise of digitization in the industry, it is now possible to manage resources such as energy and water in a more efficient manner. This is achieved through the use of techniques such as data scanning, communication with intelligent industrial sensors, known as the Industrial Internet of Things (IIoT), and the application of optimization and AI-based solutions to tackle complex problems, both in terms of efficiency and sustainability. This analysis has confirmed the significance of simulation when partnered with AI in improving the sustainability of production lines. This is because they offer the means to improve resource management from an economic, environmental, and social perspective.
{"title":"The Use of Simulation and Artificial Intelligence as a Decision Support Tool for Sustainable Production Lines","authors":"Monica G. Cardoso, Enrique Ares, Luis Pinto Ferreira, Gustavo Peláez","doi":"10.4028/p-cv6rt1","DOIUrl":"https://doi.org/10.4028/p-cv6rt1","url":null,"abstract":"In recent years, the general population has become increasingly aware of the importance of adopting more sustainable lifestyles. For companies, the implementation of sustainable systems is essential. This study aims to examine the contribution of simulation in combination with artificial intelligence (AI) to the sustainability of production lines. Simulation plays a crucial role for managers, as it allows them to predict future scenarios based on past experiences, allowing for more informed with the rise of digitization in the industry, it is now possible to manage resources such as energy and water in a more efficient manner. This is achieved through the use of techniques such as data scanning, communication with intelligent industrial sensors, known as the Industrial Internet of Things (IIoT), and the application of optimization and AI-based solutions to tackle complex problems, both in terms of efficiency and sustainability. This analysis has confirmed the significance of simulation when partnered with AI in improving the sustainability of production lines. This is because they offer the means to improve resource management from an economic, environmental, and social perspective.","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135834011","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}
Antonio Guerra-Sancho, Carlos Domínguez-Monferrer, María Henar Miguélez, José Luis Cantero
The aeronautical industry is at the forefront of the fourth industrial revolution, which implies an exponential deployment of monitorization, Data Analytics, and connectivity. In alignment with this new paradigm, this research work presents a Catastrophic Tool Failure (CTF) analysis based on spindle power consumption monitoring in an industrial aircraft fuselage drilling process. In the case under study, the airframe components are arranged in hybrid stacks of Carbon Fiber Reinforced Plastic (CFRP) and titanium (Ti6Al4V) during drilling, which adds to the highly variable industrial machining conditions. This inherent complexity can lead to CTF, a significant concern due to its associated cost and time, especially in automatic processes. Industrial CTF detection systems based on motor power consumption establish maximum and minimum power limits to detect tool breakage. However, these systems generate many false positives and false negatives due to process variability and unforeseen events. Therefore, an Exploratory Data Analysis (EDA) of the power spindle consumption signals and other machining-related features is proposed to gain insights into the breakage nature and develop more effective detection systems. This analysis is oriented to set the basis for real-time Catastrophic Tool Failure detection from power spindle consumption monitoring. As a result, advanced processing time-domain detection methods are proposed.
{"title":"Catastrophic Tool Failure Detection in Aeronautical Industrial Drilling Systems Based on Spindle Power Consumption Analysis","authors":"Antonio Guerra-Sancho, Carlos Domínguez-Monferrer, María Henar Miguélez, José Luis Cantero","doi":"10.4028/p-d3tseu","DOIUrl":"https://doi.org/10.4028/p-d3tseu","url":null,"abstract":"The aeronautical industry is at the forefront of the fourth industrial revolution, which implies an exponential deployment of monitorization, Data Analytics, and connectivity. In alignment with this new paradigm, this research work presents a Catastrophic Tool Failure (CTF) analysis based on spindle power consumption monitoring in an industrial aircraft fuselage drilling process. In the case under study, the airframe components are arranged in hybrid stacks of Carbon Fiber Reinforced Plastic (CFRP) and titanium (Ti6Al4V) during drilling, which adds to the highly variable industrial machining conditions. This inherent complexity can lead to CTF, a significant concern due to its associated cost and time, especially in automatic processes. Industrial CTF detection systems based on motor power consumption establish maximum and minimum power limits to detect tool breakage. However, these systems generate many false positives and false negatives due to process variability and unforeseen events. Therefore, an Exploratory Data Analysis (EDA) of the power spindle consumption signals and other machining-related features is proposed to gain insights into the breakage nature and develop more effective detection systems. This analysis is oriented to set the basis for real-time Catastrophic Tool Failure detection from power spindle consumption monitoring. As a result, advanced processing time-domain detection methods are proposed.","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135834218","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}
Carolina Bermudo Gamboa, Sergio Martín-Béjar, Juan Claver, Lorenzo Sevilla Hurtado
The industrialization of Antequera went through an important development during the 19 th century. From this golden age, few factories remain. In general, they have been substituted entirely by other constructions or abandoned to deterioration. However, Antequera’s town hall is working towards the maintenance of the industrial and textile heritage of the area, with special programs focused on the recovery of the remains as museums, areas dedicated to education and special hiking routes around the textile factories. In this context, it is easy to recognize the need of special activities centered on reusing the facilities to preserve them in good shape. However, this is not an easy task because reuse can damage the heritage value of the assets under preservation. This paper explores the synergies between two methodological proposals for the enhancement of industrial immovable asset on which the authors have been working. One based on the use of drones, photogrammetry and reverse engineering and the other on the application of multi-criteria decision support techniques for the selection of new uses with less impact on the conservation of the heritage values of the analyzed asset. Results show that these two methodologies can work together for a better evaluation of the industrial assets, being drones an important resource for those assets that are difficult to access.
{"title":"Multicriteria Decision Methodology Applied to the Textile Factory “La Juanona” in Antequera","authors":"Carolina Bermudo Gamboa, Sergio Martín-Béjar, Juan Claver, Lorenzo Sevilla Hurtado","doi":"10.4028/p-cdsn2b","DOIUrl":"https://doi.org/10.4028/p-cdsn2b","url":null,"abstract":"The industrialization of Antequera went through an important development during the 19 th century. From this golden age, few factories remain. In general, they have been substituted entirely by other constructions or abandoned to deterioration. However, Antequera’s town hall is working towards the maintenance of the industrial and textile heritage of the area, with special programs focused on the recovery of the remains as museums, areas dedicated to education and special hiking routes around the textile factories. In this context, it is easy to recognize the need of special activities centered on reusing the facilities to preserve them in good shape. However, this is not an easy task because reuse can damage the heritage value of the assets under preservation. This paper explores the synergies between two methodological proposals for the enhancement of industrial immovable asset on which the authors have been working. One based on the use of drones, photogrammetry and reverse engineering and the other on the application of multi-criteria decision support techniques for the selection of new uses with less impact on the conservation of the heritage values of the analyzed asset. Results show that these two methodologies can work together for a better evaluation of the industrial assets, being drones an important resource for those assets that are difficult to access.","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135834242","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}
Francisco de Sales Martín Fernández, María Jesús Martín Sánchez, María José Cano Iglesias, Félix Carrión Rodríguez
Additive Manufacturing (AM) represents a technology that provides access to part designs that are impossible or very difficult to achieve by any other manufacturing process. In addition to this consideration, the possibility of customization, and consequently, the almost immediate adaptation of dimensions and geometries makes the AM an exceptional alternative in the manufacture of prototypes. From the experience in the teaching of subjects in the Manufacturing Processes Engineering Area, it has been in different aspects of them that a special difficulty has been detected by the students in the spatial visualization of the concepts. A case of this, of special relevance, is that of the main cutting angles in a machining tool (with two cutting edges, main and secondary). In this work, a proposal for teaching innovation is proposed through the materialization of a removable model made with AM of a cutting tool in which different elements can be broken down, giving rise to the different angles indicated above. The students can operate with it, observing the angle of interest. The possibility of manufacturing with different polymeric, composite or metallic materials, of making modifications to the original designs to alter the contemplated angles and create new model configurations, the precise adjustment of the different pieces due to the non-appearance of a gap between them, the use of a wide range of colors for each piece or set of them, and changes in scale and so on, offer the possibility of expanding this work to any other type of cutting tools.
{"title":"Creation of a Model of a Cutting Tool Using Additive Manufacturing for Visualization of Machining Angles","authors":"Francisco de Sales Martín Fernández, María Jesús Martín Sánchez, María José Cano Iglesias, Félix Carrión Rodríguez","doi":"10.4028/p-v4vvjf","DOIUrl":"https://doi.org/10.4028/p-v4vvjf","url":null,"abstract":"Additive Manufacturing (AM) represents a technology that provides access to part designs that are impossible or very difficult to achieve by any other manufacturing process. In addition to this consideration, the possibility of customization, and consequently, the almost immediate adaptation of dimensions and geometries makes the AM an exceptional alternative in the manufacture of prototypes. From the experience in the teaching of subjects in the Manufacturing Processes Engineering Area, it has been in different aspects of them that a special difficulty has been detected by the students in the spatial visualization of the concepts. A case of this, of special relevance, is that of the main cutting angles in a machining tool (with two cutting edges, main and secondary). In this work, a proposal for teaching innovation is proposed through the materialization of a removable model made with AM of a cutting tool in which different elements can be broken down, giving rise to the different angles indicated above. The students can operate with it, observing the angle of interest. The possibility of manufacturing with different polymeric, composite or metallic materials, of making modifications to the original designs to alter the contemplated angles and create new model configurations, the precise adjustment of the different pieces due to the non-appearance of a gap between them, the use of a wide range of colors for each piece or set of them, and changes in scale and so on, offer the possibility of expanding this work to any other type of cutting tools.","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135834462","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}
Francisco Javier Trujillo Vilches, Manuel Herrera Fernández, Carolina Bermudo Gamboa, Lorenzo Sevilla Hurtado
The grinding processes of shaping materials are one of the oldest known. However, the first grinding machine tool did not appear until the beginning of the 19 th century. Industries as important as the automobile would not have been possible without its invention. One of the machine tools that made this development possible was the universal grinding machine patented by Joseph R. Brown in 1877. Unfortunately, none of these early machine tools have been preserved and only the patent remains. Therefore, in this work, a virtual model of this first universal grinding machine has been developed by applying reverse engineering techniques. For this purpose, the existing data in the patent and in some machine treatises of that time have been used. Based on this information, the functionality of each of its components have been interpreted and analyzed. Starting from a set of hypotheses, a scaled and parameterized functional 3D model has been developed. Additionally, a kinematic study of the grinding wheel drive system has been carried out. Hence, this digital model ensures the durability of an important piece of the universal industrial heritage. Furthermore, it can be used as a teaching tool for engineering students, showing the operation of a machine tool belonging to a historical context different from the current one, which does not differ substantially in its architecture of modern universal grinding machines.
{"title":"Virtual Modeling of the Brown and Sharpe’s Universal Grinding Machine from 1877","authors":"Francisco Javier Trujillo Vilches, Manuel Herrera Fernández, Carolina Bermudo Gamboa, Lorenzo Sevilla Hurtado","doi":"10.4028/p-kexm3g","DOIUrl":"https://doi.org/10.4028/p-kexm3g","url":null,"abstract":"The grinding processes of shaping materials are one of the oldest known. However, the first grinding machine tool did not appear until the beginning of the 19 th century. Industries as important as the automobile would not have been possible without its invention. One of the machine tools that made this development possible was the universal grinding machine patented by Joseph R. Brown in 1877. Unfortunately, none of these early machine tools have been preserved and only the patent remains. Therefore, in this work, a virtual model of this first universal grinding machine has been developed by applying reverse engineering techniques. For this purpose, the existing data in the patent and in some machine treatises of that time have been used. Based on this information, the functionality of each of its components have been interpreted and analyzed. Starting from a set of hypotheses, a scaled and parameterized functional 3D model has been developed. Additionally, a kinematic study of the grinding wheel drive system has been carried out. Hence, this digital model ensures the durability of an important piece of the universal industrial heritage. Furthermore, it can be used as a teaching tool for engineering students, showing the operation of a machine tool belonging to a historical context different from the current one, which does not differ substantially in its architecture of modern universal grinding machines.","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135833185","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}
Ana C. Larrañaga Pastor, Cristina González Gaya, Carlos de Lama Burgos
Industrial Engineering is present in all social and economic areas, and it is one of the essential pillars to achieve the Sustainable Development Goals (SDGs) proposed by the UN (United Nations).
{"title":"Deontology in Industrial Engineering: A Comparison between some Spanish Autonomous Communities","authors":"Ana C. Larrañaga Pastor, Cristina González Gaya, Carlos de Lama Burgos","doi":"10.4028/p-i6cv0m","DOIUrl":"https://doi.org/10.4028/p-i6cv0m","url":null,"abstract":"Industrial Engineering is present in all social and economic areas, and it is one of the essential pillars to achieve the Sustainable Development Goals (SDGs) proposed by the UN (United Nations).","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135833200","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}
Domingo Morales-Palma, Fernando Mas, Rebeca Arista, Manuel Oliva, Carpoforo Vallellano
Models for Manufacturing (MfM) is a methodology currently under development with a novel approach to applying Ontology-Based Engineering concepts to manufacturing. MfM is based in a 3-Layer Model (3LM) framework: a Data layer that collects all the information, e.g. in databases, an Ontology layer for ontological definition containing the domain knowledge, and a Service layer comprising all necessary software services. The Ontology layer is the core of the 3LM framework and is made up of 4 models: Scope, Data, Behaviour, and Semantic models. The 3LM framework is supported by user-friendly modelling tools and guarantees independence between the 3 layers. This work aims to evaluate the MfM methodology through the development of a real use case based on previous work by the authors: an experimental test plan to study sheet metal formability in hole-flanging operations by Single-Point Incremental Forming (SPIF). The test plan includes the definition of the main geometrical parameters of the specimens, the generation of the forming tool paths and G-code for a CNC machine, the evaluation of the manufactured parts and the analysis of the material formability. The paper presents the definition of the Ontology layer for the developed use case using various graphical modelling tools and a simple implementation of Data and Service layers as well as the interfaces between the 3 layers. The conclusions of the work highlight the strengths and weaknesses of the application developed and point out the main lines of future development of the MfM methodology.
{"title":"Implementation of a Test Plan Ontology for Incremental Sheet Metal Forming Made with Models for Manufacturing (MfM) Methodology","authors":"Domingo Morales-Palma, Fernando Mas, Rebeca Arista, Manuel Oliva, Carpoforo Vallellano","doi":"10.4028/p-c8v30p","DOIUrl":"https://doi.org/10.4028/p-c8v30p","url":null,"abstract":"Models for Manufacturing (MfM) is a methodology currently under development with a novel approach to applying Ontology-Based Engineering concepts to manufacturing. MfM is based in a 3-Layer Model (3LM) framework: a Data layer that collects all the information, e.g. in databases, an Ontology layer for ontological definition containing the domain knowledge, and a Service layer comprising all necessary software services. The Ontology layer is the core of the 3LM framework and is made up of 4 models: Scope, Data, Behaviour, and Semantic models. The 3LM framework is supported by user-friendly modelling tools and guarantees independence between the 3 layers. This work aims to evaluate the MfM methodology through the development of a real use case based on previous work by the authors: an experimental test plan to study sheet metal formability in hole-flanging operations by Single-Point Incremental Forming (SPIF). The test plan includes the definition of the main geometrical parameters of the specimens, the generation of the forming tool paths and G-code for a CNC machine, the evaluation of the manufactured parts and the analysis of the material formability. The paper presents the definition of the Ontology layer for the developed use case using various graphical modelling tools and a simple implementation of Data and Service layers as well as the interfaces between the 3 layers. The conclusions of the work highlight the strengths and weaknesses of the application developed and point out the main lines of future development of the MfM methodology.","PeriodicalId":46357,"journal":{"name":"Advances in Science and Technology-Research Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135833207","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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