The Experts below are selected from a list of 12066 Experts worldwide ranked by ideXlab platform
Luana Bottini - One of the best experts on this subject based on the ideXlab platform.
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Surface Characterization in Fused Deposition Modeling
3D Printing, 2020Co-Authors: Alberto Boschetto, Luana BottiniAbstract:Fused Deposition Modeling is a proven technology, widely difFused in industry, born for the fabrication of aesthetic and functional prototypes. Recently used for small and medium series of parts and for tooling, it received particular attention in order to integrate prototyping systems within production. A limiting aspect of this technology is the obtainable roughness and above all its prediction: no machine software and Computer-Aided Manufacturing implements a relationship between process parameters and surface quality of components. The prediction of the surface properties is an essential tool that allows it to comply with design specifications and, in process planning, to determine manufacturing strategies. Recently, great effort has been spent to develop a characterization of such surfaces. In this chapter, prediction models are presented and a new characterization approach is detailed. It is based on the theoretical prediction of the geometrical roughness profile, thus allowing it to obtain, in advance, all roughness parameters.
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finishing of Fused Deposition Modeling parts by cnc machining
Robotics and Computer-integrated Manufacturing, 2016Co-Authors: Alberto Boschetto, Luana Bottini, Francesco VenialiAbstract:Fused Deposition Modeling is a filament extrusion-base Additive Manufacturing process that integrates Computer Aided Design system, material science, Computer Numerical Control and the extrusion process to fabricate physical parts without geometrical limitations. Notwithstanding the wide industrial diffusion, one of the most limiting aspects of this technology is the obtainable surface roughness. This limitation implies that secondary finishing operations are necessary in order to comply with the design requirements. Several efforts have been done in this field but a lack exists about Computer Numerical Control machining: the Fused Deposition Modeling mesostructure and the anisotropic surface morphology, which strongly depends upon the Deposition angle, make very difficult the determination of the cutting process parameters. The aim of this work is to develop a methodology able to unlock the possibility to finish Fused Deposition Modeling parts by Computer Numerical Control machining. A variable cutting depth has been considered to avoid inner defects arising and to eliminate initial surface morphology. An experimental campaign allowed to determine how cutting depth should be set as a function of Deposition angle. A particular virtual model offset permitted to generate in Computer Aided Manufacturing the machine code. A case study characterized by functional surfaces confirmed the applicability of the method to complex geometry: a great reduction of average roughness and a reliable uniformity of finished surfaces have been obtained. A methodology to improve Fused Deposition Modeling roughness has been developed.The finishing has been performed by Computer Numerical Control machining.A variable cutting depth as a function of the Deposition angle has been determined.The surface inside a Pelton bucket has been successfully finished.
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Finishing of Fused Deposition Modeling parts by CNC machining
Robotics and Computer-Integrated Manufacturing, 2016Co-Authors: Alberto Boschetto, Luana Bottini, Francesco VenialiAbstract:Fused Deposition Modeling is a filament extrusion-base Additive Manufacturing process that integrates Computer Aided Design system, material science, Computer Numerical Control and the extrusion process to fabricate physical parts without geometrical limitations. Notwithstanding the wide industrial diffusion, one of the most limiting aspects of this technology is the obtainable surface roughness. This limitation implies that secondary finishing operations are necessary in order to comply with the design requirements. Several efforts have been done in this field but a lack exists about Computer Numerical Control machining: the Fused Deposition Modeling mesostructure and the anisotropic surface morphology, which strongly depends upon the Deposition angle, make very difficult the determination of the cutting process parameters. The aim of this work is to develop a methodology able to unlock the possibility to finish Fused Deposition Modeling parts by Computer Numerical Control machining. A variable cutting depth has been considered to avoid inner defects arising and to eliminate initial surface morphology. An experimental campaign allowed to determine how cutting depth should be set as a function of Deposition angle. A particular virtual model offset permitted to generate in Computer Aided Manufacturing the machine code. A case study characterized by functional surfaces confirmed the applicability of the method to complex geometry: a great reduction of average roughness and a reliable uniformity of finished surfaces have been obtained.
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Surface improvement of Fused Deposition Modeling parts by barrel finishing
Rapid Prototyping Journal, 2015Co-Authors: Alberto Boschetto, Luana BottiniAbstract:Fused Deposition Modeling is one of the most used additive manufacturing technologies to produce prototypes and final parts without geometrical complexity limitations. One of the most limiting aspects of this technology is the obtainable roughness. Frequently, to comply with the component requirements, it is necessary to improve surface quality by finishing operations. Barrel finishing is typically employed in industry to finish Fused Deposition Modeling components due to the advantage that the part does not need to be clamped and the process parameters are marginally affected by the part shape. The aim of this work is to develop a geometrical model of the deposited filament in order to predict the surface roughness of part after barrel finishing operation. The model depends upon the Fused Deposition Modeling process parameters, namely the layer thickness and the Deposition angle, and the material removed during barrel finishing operation. The estimation of this quantity is measured as function of working time by a profilometer procedure showing an inverse square relationship, as confirmed by the statistical analysis. The proposed formulation is not restricted to average roughness: several parameters are provided. The theoretical models are validated by an experimental campaign. The comparison between modeled and experimental data shows a significant reliability by means of statistical analysis. This formulation is a useful tool in computer aided manufacturing step to choose the optimum combination of process parameters in order to obtain the desired results provided by barrel finishing operation.
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Roughness prediction in coupled operations of Fused Deposition Modeling and barrel finishing
Journal of Materials Processing Technology, 2015Co-Authors: Alberto Boschetto, Luana BottiniAbstract:Fused Deposition Modeling is one of the most used additive manufacturing technologies to produce prototypes and final parts without geometrical complexity limitations. One of the most limiting aspects of this technology is the obtainable roughness. Frequently, to comply with the component requirements, it is necessary to improve surface quality by finishing operations. Barrel finishing is typically employed in industry to finish Fused Deposition Modeling components due to the advantage that the part does not need to be clamped and the process parameters are marginally affected by the part shape. The aim of this work is to develop a geometrical model of the deposited filament in order to predict the surface roughness of part after barrel finishing operation. The model depends upon the Fused Deposition Modeling process parameters, namely the layer thickness and the Deposition angle, and the material removed during barrel finishing operation. The estimation of this quantity is measured as function of working time by a profilometer procedure showing an inverse square relationship, as confirmed by the statistical analysis. The proposed formulation is not restricted to average roughness: several parameters are provided. The theoretical models are validated by an experimental campaign. The comparison between modeled and experimental data shows a significant reliability by means of statistical analysis. This formulation is a useful tool in computer aided manufacturing step to choose the optimum combination of process parameters in order to obtain the desired results provided by barrel finishing operation.
Igor Sbarski - One of the best experts on this subject based on the ideXlab platform.
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thermo mechanical properties of a highly filled polymeric composites for Fused Deposition Modeling
Materials & Design, 2011Co-Authors: Mehdi Nikzad, Syed Hasan Masood, Igor SbarskiAbstract:Abstract This paper presents an investigation on thermal and mechanical properties of new metal-particle filled Acrylonitrile Butadiene Styrene (ABS) composites for applications in Fused Deposition Modeling rapid prototyping process. Test samples of Iron/ABS and Copper/ABS composites involving metal content up to 40% by volume have been made by controlled centrifugal mixing, thermally compounded through a single-screw extruder and compression moulding. Dynamic Mechanical Analysis (DMA) techniques were used in order to characterize viscoelastic properties of these newly developed composites materials for use in Fused Deposition Modeling process. It has been shown that significant improvements of ABS thermal and mechanical properties due to incorporation of metallic fillers can potentially promote processing of high performance and functional prototypes on the existing FDM platform for a wide range of applications. Sample prototypes from the new composite materials have been successfully made and tested.
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Thermo-mechanical properties of a highly filled polymeric composites for Fused Deposition Modeling
Materials and Design, 2011Co-Authors: Mehdi Nikzad, Syed Hasan Masood, Igor SbarskiAbstract:This paper presents an investigation on thermal and mechanical properties of new metal-particle filled Acrylonitrile Butadiene Styrene (ABS) composites for applications in Fused Deposition Modeling rapid prototyping process. Test samples of Iron/ABS and Copper/ABS composites involving metal content up to 40% by volume have been made by controlled centrifugal mixing, thermally compounded through a single-screw extruder and compression moulding. Dynamic Mechanical Analysis (DMA) techniques were used in order to characterize viscoelastic properties of these newly developed composites materials for use in Fused Deposition Modeling process. It has been shown that significant improvements of ABS thermal and mechanical properties due to incorporation of metallic fillers can potentially promote processing of high performance and functional prototypes on the existing FDM platform for a wide range of applications. Sample prototypes from the new composite materials have been successfully made and tested. © 2011 Elsevier Ltd.
Alberto Boschetto - One of the best experts on this subject based on the ideXlab platform.
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Surface Characterization in Fused Deposition Modeling
3D Printing, 2020Co-Authors: Alberto Boschetto, Luana BottiniAbstract:Fused Deposition Modeling is a proven technology, widely difFused in industry, born for the fabrication of aesthetic and functional prototypes. Recently used for small and medium series of parts and for tooling, it received particular attention in order to integrate prototyping systems within production. A limiting aspect of this technology is the obtainable roughness and above all its prediction: no machine software and Computer-Aided Manufacturing implements a relationship between process parameters and surface quality of components. The prediction of the surface properties is an essential tool that allows it to comply with design specifications and, in process planning, to determine manufacturing strategies. Recently, great effort has been spent to develop a characterization of such surfaces. In this chapter, prediction models are presented and a new characterization approach is detailed. It is based on the theoretical prediction of the geometrical roughness profile, thus allowing it to obtain, in advance, all roughness parameters.
-
finishing of Fused Deposition Modeling parts by cnc machining
Robotics and Computer-integrated Manufacturing, 2016Co-Authors: Alberto Boschetto, Luana Bottini, Francesco VenialiAbstract:Fused Deposition Modeling is a filament extrusion-base Additive Manufacturing process that integrates Computer Aided Design system, material science, Computer Numerical Control and the extrusion process to fabricate physical parts without geometrical limitations. Notwithstanding the wide industrial diffusion, one of the most limiting aspects of this technology is the obtainable surface roughness. This limitation implies that secondary finishing operations are necessary in order to comply with the design requirements. Several efforts have been done in this field but a lack exists about Computer Numerical Control machining: the Fused Deposition Modeling mesostructure and the anisotropic surface morphology, which strongly depends upon the Deposition angle, make very difficult the determination of the cutting process parameters. The aim of this work is to develop a methodology able to unlock the possibility to finish Fused Deposition Modeling parts by Computer Numerical Control machining. A variable cutting depth has been considered to avoid inner defects arising and to eliminate initial surface morphology. An experimental campaign allowed to determine how cutting depth should be set as a function of Deposition angle. A particular virtual model offset permitted to generate in Computer Aided Manufacturing the machine code. A case study characterized by functional surfaces confirmed the applicability of the method to complex geometry: a great reduction of average roughness and a reliable uniformity of finished surfaces have been obtained. A methodology to improve Fused Deposition Modeling roughness has been developed.The finishing has been performed by Computer Numerical Control machining.A variable cutting depth as a function of the Deposition angle has been determined.The surface inside a Pelton bucket has been successfully finished.
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Finishing of Fused Deposition Modeling parts by CNC machining
Robotics and Computer-Integrated Manufacturing, 2016Co-Authors: Alberto Boschetto, Luana Bottini, Francesco VenialiAbstract:Fused Deposition Modeling is a filament extrusion-base Additive Manufacturing process that integrates Computer Aided Design system, material science, Computer Numerical Control and the extrusion process to fabricate physical parts without geometrical limitations. Notwithstanding the wide industrial diffusion, one of the most limiting aspects of this technology is the obtainable surface roughness. This limitation implies that secondary finishing operations are necessary in order to comply with the design requirements. Several efforts have been done in this field but a lack exists about Computer Numerical Control machining: the Fused Deposition Modeling mesostructure and the anisotropic surface morphology, which strongly depends upon the Deposition angle, make very difficult the determination of the cutting process parameters. The aim of this work is to develop a methodology able to unlock the possibility to finish Fused Deposition Modeling parts by Computer Numerical Control machining. A variable cutting depth has been considered to avoid inner defects arising and to eliminate initial surface morphology. An experimental campaign allowed to determine how cutting depth should be set as a function of Deposition angle. A particular virtual model offset permitted to generate in Computer Aided Manufacturing the machine code. A case study characterized by functional surfaces confirmed the applicability of the method to complex geometry: a great reduction of average roughness and a reliable uniformity of finished surfaces have been obtained.
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Surface improvement of Fused Deposition Modeling parts by barrel finishing
Rapid Prototyping Journal, 2015Co-Authors: Alberto Boschetto, Luana BottiniAbstract:Fused Deposition Modeling is one of the most used additive manufacturing technologies to produce prototypes and final parts without geometrical complexity limitations. One of the most limiting aspects of this technology is the obtainable roughness. Frequently, to comply with the component requirements, it is necessary to improve surface quality by finishing operations. Barrel finishing is typically employed in industry to finish Fused Deposition Modeling components due to the advantage that the part does not need to be clamped and the process parameters are marginally affected by the part shape. The aim of this work is to develop a geometrical model of the deposited filament in order to predict the surface roughness of part after barrel finishing operation. The model depends upon the Fused Deposition Modeling process parameters, namely the layer thickness and the Deposition angle, and the material removed during barrel finishing operation. The estimation of this quantity is measured as function of working time by a profilometer procedure showing an inverse square relationship, as confirmed by the statistical analysis. The proposed formulation is not restricted to average roughness: several parameters are provided. The theoretical models are validated by an experimental campaign. The comparison between modeled and experimental data shows a significant reliability by means of statistical analysis. This formulation is a useful tool in computer aided manufacturing step to choose the optimum combination of process parameters in order to obtain the desired results provided by barrel finishing operation.
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Roughness prediction in coupled operations of Fused Deposition Modeling and barrel finishing
Journal of Materials Processing Technology, 2015Co-Authors: Alberto Boschetto, Luana BottiniAbstract:Fused Deposition Modeling is one of the most used additive manufacturing technologies to produce prototypes and final parts without geometrical complexity limitations. One of the most limiting aspects of this technology is the obtainable roughness. Frequently, to comply with the component requirements, it is necessary to improve surface quality by finishing operations. Barrel finishing is typically employed in industry to finish Fused Deposition Modeling components due to the advantage that the part does not need to be clamped and the process parameters are marginally affected by the part shape. The aim of this work is to develop a geometrical model of the deposited filament in order to predict the surface roughness of part after barrel finishing operation. The model depends upon the Fused Deposition Modeling process parameters, namely the layer thickness and the Deposition angle, and the material removed during barrel finishing operation. The estimation of this quantity is measured as function of working time by a profilometer procedure showing an inverse square relationship, as confirmed by the statistical analysis. The proposed formulation is not restricted to average roughness: several parameters are provided. The theoretical models are validated by an experimental campaign. The comparison between modeled and experimental data shows a significant reliability by means of statistical analysis. This formulation is a useful tool in computer aided manufacturing step to choose the optimum combination of process parameters in order to obtain the desired results provided by barrel finishing operation.
Jungil Song - One of the best experts on this subject based on the ideXlab platform.
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representation of surface roughness in Fused Deposition Modeling
Journal of Materials Processing Technology, 2009Co-Authors: Jinhwe Kweon, Soonman Kwon, Jungil SongAbstract:Most rapid prototyping (RP) technologies apply a layered manufacturing (LM) process to efficiently fabricate 3D physical models. However, a critical drawback that reduces the surface quality of the RP parts occurs by utilizing LM. Hence, topics related to surface roughness have been a key issue in RP. In this paper, a new approach to model surface roughness in Fused Deposition Modeling (FDM) is proposed. Based on actual surface roughness distributions of FDM parts, a theoretical model to express surface roughness distribution according to changes in surface angle is presented by considering the main factors that crucially affect surface quality. The proposed expression is verified by implementation and comparison with empirical data. Also, the effectiveness of the main factors is analyzed and discussed.
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Representation of surface roughness in Fused Deposition Modeling
Journal of Materials Processing Technology, 2009Co-Authors: Daekeon Ahn, Jungil Song, Jun Hyeok Kweon, Soonman Kwon, Seokhee LeeAbstract:Most rapid prototyping (RP) technologies apply a layered manufacturing (LM) process to efficiently fabricate 3D physical models. However, a critical drawback that reduces the surface quality of the RP parts occurs by utilizing LM. Hence, topics related to surface roughness have been a key issue in RP. In this paper, a new approach to model surface roughness in Fused Deposition Modeling (FDM) is proposed. Based on actual surface roughness distributions of FDM parts, a theoretical model to express surface roughness distribution according to changes in surface angle is presented by considering the main factors that crucially affect surface quality. The proposed expression is verified by implementation and comparison with empirical data. Also, the effectiveness of the main factors is analyzed and discussed. © 2009 Elsevier B.V. All rights reserved.
Syed Hasan Masood - One of the best experts on this subject based on the ideXlab platform.
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Advances in Fused Deposition Modeling
Comprehensive Materials Processing, 2014Co-Authors: Syed Hasan MasoodAbstract:Fused Deposition Modeling (FDM) is one of the most widely used additive manufacturing processes for fabricating prototypes and functional parts in common engineering plastics. The process is based on the extrusion of heated feedstock plastic filaments through a nozzle tip to deposit layers onto a platform to build parts layer by layer directly from a digital model of the part. The simplicity, reliability, and affordability of the FDM process have made the additive manufacturing technology widely recognized and adopted by industry, academia, and consumers. The FDM process has also been widely used by research and development sectors to improve the process, develop new materials, and apply the FDM systems in a wide range of engineering applications. This chapter describes an overview of the basic process, materials, and capabilities of the Stratasys FDM technology, and also presents a comprehensive review of research and development work undertaken using the FDM process since its inception over the past two decades. © 2014 Elsevier Ltd All rights reserved.
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Advances in Fused Deposition Modeling
Comprehensive Materials Processing, 2014Co-Authors: Syed Hasan MasoodAbstract:Fused Deposition Modeling (FDM) is one of the most widely used additive manufacturing processes for fabricating prototypes and functional parts in common engineering plastics. The process is based on the extrusion of heated feedstock plastic filaments through a nozzle tip to deposit layers onto a platform to build parts layer by layer directly from a digital model of the part. The simplicity, reliability, and affordability of the FDM process have made the additive manufacturing technology widely recognized and adopted by industry, academia, and consumers. The FDM process has also been widely used by research and development sectors to improve the process, develop new materials, and apply the FDM systems in a wide range of engineering applications. This chapter describes an overview of the basic process, materials, and capabilities of the Stratasys FDM technology, and also presents a comprehensive review of research and development work undertaken using the FDM process since its inception over the past two decades.
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thermo mechanical properties of a highly filled polymeric composites for Fused Deposition Modeling
Materials & Design, 2011Co-Authors: Mehdi Nikzad, Syed Hasan Masood, Igor SbarskiAbstract:Abstract This paper presents an investigation on thermal and mechanical properties of new metal-particle filled Acrylonitrile Butadiene Styrene (ABS) composites for applications in Fused Deposition Modeling rapid prototyping process. Test samples of Iron/ABS and Copper/ABS composites involving metal content up to 40% by volume have been made by controlled centrifugal mixing, thermally compounded through a single-screw extruder and compression moulding. Dynamic Mechanical Analysis (DMA) techniques were used in order to characterize viscoelastic properties of these newly developed composites materials for use in Fused Deposition Modeling process. It has been shown that significant improvements of ABS thermal and mechanical properties due to incorporation of metallic fillers can potentially promote processing of high performance and functional prototypes on the existing FDM platform for a wide range of applications. Sample prototypes from the new composite materials have been successfully made and tested.
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Thermo-mechanical properties of a highly filled polymeric composites for Fused Deposition Modeling
Materials and Design, 2011Co-Authors: Mehdi Nikzad, Syed Hasan Masood, Igor SbarskiAbstract:This paper presents an investigation on thermal and mechanical properties of new metal-particle filled Acrylonitrile Butadiene Styrene (ABS) composites for applications in Fused Deposition Modeling rapid prototyping process. Test samples of Iron/ABS and Copper/ABS composites involving metal content up to 40% by volume have been made by controlled centrifugal mixing, thermally compounded through a single-screw extruder and compression moulding. Dynamic Mechanical Analysis (DMA) techniques were used in order to characterize viscoelastic properties of these newly developed composites materials for use in Fused Deposition Modeling process. It has been shown that significant improvements of ABS thermal and mechanical properties due to incorporation of metallic fillers can potentially promote processing of high performance and functional prototypes on the existing FDM platform for a wide range of applications. Sample prototypes from the new composite materials have been successfully made and tested. © 2011 Elsevier Ltd.
