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{"title":"IMECE2022 Front Matter","authors":"","doi":"10.1115/imece2022-fm2a","DOIUrl":"https://doi.org/10.1115/imece2022-fm2a","url":null,"abstract":"\u0000 The front matter for this proceedings is available by clicking on the PDF icon.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114151920","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}
Jitai Wang, Xuedao Shu, Haijie Xu, C. Ye, Y. Xia, Song Zhang
In the research of part forming, forming force is one of the most concerned factors. To explore the variation law of rolling force in the process of three-roll skew rolling (TRSR) hollow axle, the process of TRSR hollow axle is tested and simulated in this paper. First, the working principle of TRSR hollow axle is described; Second, taking the hollow axle of LZ50 steel as the research object, according to the actual performance of TRSR mill, the blank and rolling process parameters are selected, and the finite element model is established; Third, combined experiment and numerical simulation, the evolution laws of the rolling force are obtained by exploring the forming process of TRSR hollow axles; Fourth, the evaluation standard of rolling force is determined on the basis of the evolution law of rolling force, combined with the typical process parameters, and the orthogonal test was carried out. The results show that the simulated evolution law of rolling force is basically consistent with the experimental result. The evolution curve is opposite to the surface shape of the rolled piece. Besides, the rolling force increases gradually with time. Through orthogonal test, the influence subsequence of process parameters on rolling force and relationship between them are determined. In addition, the quantitative relationship between process parameters and rolling force is established.
{"title":"Research on Variation Law of Rolling Force of Three-Roll Skew Rolling Hollow Axle","authors":"Jitai Wang, Xuedao Shu, Haijie Xu, C. Ye, Y. Xia, Song Zhang","doi":"10.1115/imece2022-95059","DOIUrl":"https://doi.org/10.1115/imece2022-95059","url":null,"abstract":"\u0000 In the research of part forming, forming force is one of the most concerned factors. To explore the variation law of rolling force in the process of three-roll skew rolling (TRSR) hollow axle, the process of TRSR hollow axle is tested and simulated in this paper. First, the working principle of TRSR hollow axle is described; Second, taking the hollow axle of LZ50 steel as the research object, according to the actual performance of TRSR mill, the blank and rolling process parameters are selected, and the finite element model is established; Third, combined experiment and numerical simulation, the evolution laws of the rolling force are obtained by exploring the forming process of TRSR hollow axles; Fourth, the evaluation standard of rolling force is determined on the basis of the evolution law of rolling force, combined with the typical process parameters, and the orthogonal test was carried out. The results show that the simulated evolution law of rolling force is basically consistent with the experimental result. The evolution curve is opposite to the surface shape of the rolled piece. Besides, the rolling force increases gradually with time. Through orthogonal test, the influence subsequence of process parameters on rolling force and relationship between them are determined. In addition, the quantitative relationship between process parameters and rolling force is established.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129498626","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}
Additive manufacturing has emerged as a next-generation technology for advanced fabrication. Fused Filament Fabrication (FFF) is the most widespread form of material extrusion additive manufacturing and has growing applications in large scale construction. Despite its advantages, FFF is limited by structural weaknesses introduced by cooling of the material between layers. This paper presents an approach to reduce the probability of failure for a given object under known loading conditions through improved toolpath planning which considers temperature decay. Our approach reorders the fabrication sequence to vary the time to print between layers such that the thermal stress induced in fabrication is reduced in regions most likely to fail at the expense of increasing thermally induced stress in less critical areas. In our simulation experiments, we found that our approach offers the greatest improvement when the rate of cooling is large enough for significant temperature decay to occur, but not so large that cooling occurs too quickly for the print order to have any effect. Our approach offers the potential to improve the performance of 3D printed components under known loading conditions by considering the temperature of the print in the planning of the toolpath.
{"title":"Toolpath Planning With Thermal Stress Awareness for Material Extrusion Additive Manufacturing","authors":"Jayant Khatkar, L. Clemon, Ramgopal R. Mettu","doi":"10.1115/imece2022-94341","DOIUrl":"https://doi.org/10.1115/imece2022-94341","url":null,"abstract":"\u0000 Additive manufacturing has emerged as a next-generation technology for advanced fabrication. Fused Filament Fabrication (FFF) is the most widespread form of material extrusion additive manufacturing and has growing applications in large scale construction. Despite its advantages, FFF is limited by structural weaknesses introduced by cooling of the material between layers. This paper presents an approach to reduce the probability of failure for a given object under known loading conditions through improved toolpath planning which considers temperature decay. Our approach reorders the fabrication sequence to vary the time to print between layers such that the thermal stress induced in fabrication is reduced in regions most likely to fail at the expense of increasing thermally induced stress in less critical areas. In our simulation experiments, we found that our approach offers the greatest improvement when the rate of cooling is large enough for significant temperature decay to occur, but not so large that cooling occurs too quickly for the print order to have any effect. Our approach offers the potential to improve the performance of 3D printed components under known loading conditions by considering the temperature of the print in the planning of the toolpath.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129467026","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}
At present, components manufactured with laser powder bed fusion (LPBF) platforms face various quality and repeatability issues, restricting the use of this technology primarily to prototyping. While in-situ imaging offers a capability of deciphering complex LPBF process and characterizing influential parameters (e.g., design, machine parameters, and material) on part quality, the current analysis ignores the effect of the print location and scan strategy. This paper presents a systematic image-guided analysis to characterize the influence of the component location and scan pattern on final part quality. Specifically, a data-driven model is developed to extract the impact of these process parameters on melt pool signatures such as shape, size, and the number of spatters. Next, we perform the post-build analysis based on x-ray computed tomography (XCT) to quantify process parameters’ effect on trackwise part quality, according to the magnitude of distortion and porosity. Finally, hyperdimensional computing is established to take into account the part location and scan pattern impacts and connect in-situ melt pool signatures to the quality of each track. Experimental results on four identical components positioned in different locations on the build plate show that as the part location deviates from the midpoint, melt pool fluctuation increases, and the track quality deteriorates substantially. In addition, the scan patterns with a shorter length lead to more variations in melt pool length and poor trackwise quality.
{"title":"Dependency Evaluation of Defect Formation and Printing Location in Additive Manufacturing","authors":"Kosar Safari, Shihab Khalfalla, Farhad Imani","doi":"10.1115/imece2022-95145","DOIUrl":"https://doi.org/10.1115/imece2022-95145","url":null,"abstract":"\u0000 At present, components manufactured with laser powder bed fusion (LPBF) platforms face various quality and repeatability issues, restricting the use of this technology primarily to prototyping. While in-situ imaging offers a capability of deciphering complex LPBF process and characterizing influential parameters (e.g., design, machine parameters, and material) on part quality, the current analysis ignores the effect of the print location and scan strategy. This paper presents a systematic image-guided analysis to characterize the influence of the component location and scan pattern on final part quality. Specifically, a data-driven model is developed to extract the impact of these process parameters on melt pool signatures such as shape, size, and the number of spatters. Next, we perform the post-build analysis based on x-ray computed tomography (XCT) to quantify process parameters’ effect on trackwise part quality, according to the magnitude of distortion and porosity. Finally, hyperdimensional computing is established to take into account the part location and scan pattern impacts and connect in-situ melt pool signatures to the quality of each track. Experimental results on four identical components positioned in different locations on the build plate show that as the part location deviates from the midpoint, melt pool fluctuation increases, and the track quality deteriorates substantially. In addition, the scan patterns with a shorter length lead to more variations in melt pool length and poor trackwise quality.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126442185","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}
Existing additive manufacturing (AM) technologies produce metal components with a rough surface that generally display fatigue characteristics, leading to component failure and undesirable friction coefficients to the printed part. Small cracks formed at regions of high surface roughness in rough surfaces act as a stress raiser or crack nucleation site. Hence, as-produced parts’ direct use is limited and introduces a challenge related to smoothening the surface. The present study explores the application of electroless nickel deposition. It examines the surface finishing techniques such as Chempolishing (CP) and Electropolishing (EP) for post-processing on additively manufactured stainless-steel samples. Previous studies have demonstrated that CP offers a major advantage in providing consistent, smooth surfaces, regardless of the component size or geometry. Surface smoothness is increased, and surface roughness is decreased to the sub-micrometer range via EP. The study also investigates nickel deposition on EP, CP, and as-built AM components, utilizing electroless nickel solutions. Alloys are exposed to an electroless nickel plating process in order to enhance the hardness and surface resistance of produced components to the hostile environment. The medium-phosphorus (6–9% P), and high-phosphorus (10–13% P) was used. The Ni deposition experiments were optimized using the L9 Taguchi design of experiments (DOE), which involve the prosperous content in the solution, surface preparation, plane orientation of the sample geometry, and Nickel strike exposition time. The pre- and post-processed surface of the AM parts is being investigated by the KEYENCE Digital Microscope VHX-7000. This work is in progress concerning the complete Scratch analysis and Design of Experiment (DOE) analysis using the Qualitek-4 software.
{"title":"Application of Nickel Deposition on Electropolishing (EP), Chempolishing (CP), and As-Built Additively Manufactured (AM) Metal Components","authors":"P. Sánchez, Z. Waqar, Pawan Tyagi","doi":"10.1115/imece2022-96200","DOIUrl":"https://doi.org/10.1115/imece2022-96200","url":null,"abstract":"\u0000 Existing additive manufacturing (AM) technologies produce metal components with a rough surface that generally display fatigue characteristics, leading to component failure and undesirable friction coefficients to the printed part. Small cracks formed at regions of high surface roughness in rough surfaces act as a stress raiser or crack nucleation site. Hence, as-produced parts’ direct use is limited and introduces a challenge related to smoothening the surface. The present study explores the application of electroless nickel deposition. It examines the surface finishing techniques such as Chempolishing (CP) and Electropolishing (EP) for post-processing on additively manufactured stainless-steel samples. Previous studies have demonstrated that CP offers a major advantage in providing consistent, smooth surfaces, regardless of the component size or geometry. Surface smoothness is increased, and surface roughness is decreased to the sub-micrometer range via EP. The study also investigates nickel deposition on EP, CP, and as-built AM components, utilizing electroless nickel solutions. Alloys are exposed to an electroless nickel plating process in order to enhance the hardness and surface resistance of produced components to the hostile environment. The medium-phosphorus (6–9% P), and high-phosphorus (10–13% P) was used. The Ni deposition experiments were optimized using the L9 Taguchi design of experiments (DOE), which involve the prosperous content in the solution, surface preparation, plane orientation of the sample geometry, and Nickel strike exposition time. The pre- and post-processed surface of the AM parts is being investigated by the KEYENCE Digital Microscope VHX-7000. This work is in progress concerning the complete Scratch analysis and Design of Experiment (DOE) analysis using the Qualitek-4 software.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130242017","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}
Vivek V. Bhandarkar, Ishant G. Patil, Harshal Y. Shahare, P. Tandon
Although fused deposition modeling (FDM) can fabricate complex functional components with desired structures, various defects emerge due to the diverse process parameters used in the process, which have a substantial impact on the quality and mechanical properties of the manufactured FDM parts. Therefore, the selection of suitable process parameters is an important design consideration for improving component quality. In the proposed work, the Taguchi optimization approach was used to optimize FDM process parameters to eliminate warpage defects in 3D printed parts. Infill pattern, infill density, raster angle, printing speed, layer height, build plate temperature, and extruder temperature were selected as the process parameters. Polylactic acid (PLA) was used to make the specimens using the Creality Ender-3 3D printer. The entire fabrication process was remotely monitored by interfacing the Raspberry Pi controller and camera with the OctoPrint platform. The influence of selected factors on warpage defect was evaluated and optimized using Analysis of Variance (ANOVA), the signal-to-noise ratio (S/N ratio), and a linear regression model. The results were later experimentally validated. The applicability of the optimized 3D printed part was verified by subjecting them to tensile tests.
虽然熔融沉积建模(FDM)可以制造出具有理想结构的复杂功能部件，但由于工艺参数的不同，会产生各种缺陷，对FDM零件的质量和力学性能产生重大影响。因此，选择合适的工艺参数是提高零件质量的重要设计考虑因素。本文采用田口优化方法对FDM工艺参数进行优化，以消除3D打印零件的翘曲缺陷。选择填充图案、填充密度、光栅角度、印刷速度、层高、造板温度和挤出机温度作为工艺参数。用聚乳酸(PLA)制作样品，使用Creality end -3 3D打印机。通过将树莓派控制器和相机与OctoPrint平台连接，可以远程监控整个制造过程。采用方差分析(ANOVA)、信噪比(S/N ratio)和线性回归模型对所选因素对翘曲缺陷的影响进行评估和优化。这些结果后来得到了实验验证。通过拉伸试验验证了优化后3D打印部件的适用性。
{"title":"Understanding the Influence of Process Parameters for Minimizing Defects in 3D Printed Parts Through Remote Monitoring","authors":"Vivek V. Bhandarkar, Ishant G. Patil, Harshal Y. Shahare, P. Tandon","doi":"10.1115/imece2022-93991","DOIUrl":"https://doi.org/10.1115/imece2022-93991","url":null,"abstract":"\u0000 Although fused deposition modeling (FDM) can fabricate complex functional components with desired structures, various defects emerge due to the diverse process parameters used in the process, which have a substantial impact on the quality and mechanical properties of the manufactured FDM parts. Therefore, the selection of suitable process parameters is an important design consideration for improving component quality. In the proposed work, the Taguchi optimization approach was used to optimize FDM process parameters to eliminate warpage defects in 3D printed parts. Infill pattern, infill density, raster angle, printing speed, layer height, build plate temperature, and extruder temperature were selected as the process parameters. Polylactic acid (PLA) was used to make the specimens using the Creality Ender-3 3D printer. The entire fabrication process was remotely monitored by interfacing the Raspberry Pi controller and camera with the OctoPrint platform. The influence of selected factors on warpage defect was evaluated and optimized using Analysis of Variance (ANOVA), the signal-to-noise ratio (S/N ratio), and a linear regression model. The results were later experimentally validated. The applicability of the optimized 3D printed part was verified by subjecting them to tensile tests.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124174107","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}
Green ceramic machining involves shaping a dried and extruded part, consisting of a ceramic powder held together by a polymer binder, before it is sintered. This paper investigates the effects of longitudinal turning on the material removal characteristics of green aluminum oxide (alumina) rods, of different binder composition and particle sizes. Forces during machining and the roughness of the machined surfaces are measured and their relationship to the process parameters are analyzed. Results show that low feed, fine alumina particle size, and a positive rake angle tool increased the machining forces. Surfaces were also smoother when the feed was low and the rake angle was positive.
{"title":"Material Removal Characteristics of Longitudinal Turning of Green Ceramics","authors":"Jesse Castellana, S. Melkote","doi":"10.1115/imece2022-95037","DOIUrl":"https://doi.org/10.1115/imece2022-95037","url":null,"abstract":"\u0000 Green ceramic machining involves shaping a dried and extruded part, consisting of a ceramic powder held together by a polymer binder, before it is sintered. This paper investigates the effects of longitudinal turning on the material removal characteristics of green aluminum oxide (alumina) rods, of different binder composition and particle sizes. Forces during machining and the roughness of the machined surfaces are measured and their relationship to the process parameters are analyzed. Results show that low feed, fine alumina particle size, and a positive rake angle tool increased the machining forces. Surfaces were also smoother when the feed was low and the rake angle was positive.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116340305","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}
When using additive manufacturing (AM) systems to fabricate functional parts built up in a layer-by-layer fashion, designers are required to make numerous decisions with respect to manufacturing processes parameters that can have significant impacts on how the resulting parts will perform under loading. One such parameter of interest is the orientation of the part within the build volume of the AM system utilized during fabrication. This parameter is important because the choice of build angle will directly impact how applied loads are transmitted to the bonded layers of the finished part. This paper presents the results of an experimental study specifically designed to explore this important factor and its effect on several key mechanical properties, including bending stiffness, ultimate strength, and toughness. This study consisted of printing and testing a large set of simple functional parts using a wide variety of build angle geometries, in addition to also considering other common process parameters focused on by previous studies. This study considered parts produced using two different AM technologies (material extrusion and vat polymerization), and multiple printing materials, in order to generate a dataset that can be used to inform the modeling and design of functional parts to be manufactured via various AM systems. The results produced show general agreement with previous similar studies, and the effects of build orientation present in the dataset generated clearly show the need for designers to consider this important parameter carefully when designing parts for AM applications. The results of this study also demonstrate the need for continued research on this critical topic to the field of AM in general.
{"title":"An Experimental Investigation of the Mechanical Behavior of 3D Printed Structures As a Function of Manufacturing Process Decisions","authors":"J. Hamel, Logan Kamla","doi":"10.1115/imece2022-95317","DOIUrl":"https://doi.org/10.1115/imece2022-95317","url":null,"abstract":"\u0000 When using additive manufacturing (AM) systems to fabricate functional parts built up in a layer-by-layer fashion, designers are required to make numerous decisions with respect to manufacturing processes parameters that can have significant impacts on how the resulting parts will perform under loading. One such parameter of interest is the orientation of the part within the build volume of the AM system utilized during fabrication. This parameter is important because the choice of build angle will directly impact how applied loads are transmitted to the bonded layers of the finished part. This paper presents the results of an experimental study specifically designed to explore this important factor and its effect on several key mechanical properties, including bending stiffness, ultimate strength, and toughness. This study consisted of printing and testing a large set of simple functional parts using a wide variety of build angle geometries, in addition to also considering other common process parameters focused on by previous studies. This study considered parts produced using two different AM technologies (material extrusion and vat polymerization), and multiple printing materials, in order to generate a dataset that can be used to inform the modeling and design of functional parts to be manufactured via various AM systems. The results produced show general agreement with previous similar studies, and the effects of build orientation present in the dataset generated clearly show the need for designers to consider this important parameter carefully when designing parts for AM applications. The results of this study also demonstrate the need for continued research on this critical topic to the field of AM in general.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130926026","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}
David A. Guerra-Zubiaga, Angelicia Franklin, Diego Escobar-Escobar, Timothey Lemley, Neeyaz Hariri, Jeremy Plattel, C. Ham
This paper explores integrating several Industry 4.0 trends within a Kawasaki Robot and Vanderlande intelligent manufacturing execution system located at Kennesaw State University (KSU) in the United States of America. Several of the key Industry 4.0 trends that will be discussed within this paper include, but are not limited to, the following topics: Machine Learning (ML), Supervisory Control and Data Acquisition (SCADA), Industrial Internet of Things (IIoT), and Cloud Manufacturing (CM). Several researchers explored these Industry 4.0 trends in manufacturing operations, but very few of them researched intelligent robotics grippers using MES and implementing advanced computer vision technologies. This research scopes in this direction. The research novelty contribution relies on exploring advanced intelligent robotic grippers while providing some scenarios to understand the next generation of automation systems according to Industry 4.0 trends by implementing both computer vision (CV) and machine learning (ML) aspects through an MES.
{"title":"Computer Vision and Machine Learning to Create an Advanced Pick-and-Place Robotic Operation Using Industry 4.0 Trends","authors":"David A. Guerra-Zubiaga, Angelicia Franklin, Diego Escobar-Escobar, Timothey Lemley, Neeyaz Hariri, Jeremy Plattel, C. Ham","doi":"10.1115/imece2022-89743","DOIUrl":"https://doi.org/10.1115/imece2022-89743","url":null,"abstract":"\u0000 This paper explores integrating several Industry 4.0 trends within a Kawasaki Robot and Vanderlande intelligent manufacturing execution system located at Kennesaw State University (KSU) in the United States of America. Several of the key Industry 4.0 trends that will be discussed within this paper include, but are not limited to, the following topics: Machine Learning (ML), Supervisory Control and Data Acquisition (SCADA), Industrial Internet of Things (IIoT), and Cloud Manufacturing (CM). Several researchers explored these Industry 4.0 trends in manufacturing operations, but very few of them researched intelligent robotics grippers using MES and implementing advanced computer vision technologies. This research scopes in this direction. The research novelty contribution relies on exploring advanced intelligent robotic grippers while providing some scenarios to understand the next generation of automation systems according to Industry 4.0 trends by implementing both computer vision (CV) and machine learning (ML) aspects through an MES.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123241398","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}
Y. Xia, Xuedao Shu, B. Ye, Jiabin Zheng, Yanli Liu
Spinning is a typical continuous local plastic forming and an advanced manufacturing technology to achieve less cutting machining of thin-walled rotary parts. As the external bearing component of aero-engine, the mainstream manufacturing method of sheet metal casing is hot power spinning. Its forming quality includes dimensional, shape accuracy and macroscopic defects. The refinement and uniformity of micro grain size are also important indicators. The FE finite element) model of tapered sheet metal casing with variable wall thickness in hot power spinning was established by DEFORM-3D. The average deflection angle deviation Δθ and standard deviation of wall thickness error Δt was used as the evaluation indexes of 13 simulation schemes. The effect of the mandrel speed, the roller feed ratio, the roller fillet radius and the initial temperature on the forming quality was analyzed. Through the spinning experiment of SXY1000 double-roller CNC spinning machine, the metallographic structure of different forming regions and the micro grain size under different temperatures and roller feed ratios are explored. The micro grain size of the formed part is more refined with the increase of the initial temperature. It decreases as the feed ratio increases, while the microscopic grain size uniformity decreases.
{"title":"Finite Element Simulation and Micro-Grain Size Analysis of Sheet Metal Casing by Hot Power Spinning","authors":"Y. Xia, Xuedao Shu, B. Ye, Jiabin Zheng, Yanli Liu","doi":"10.1115/imece2022-94161","DOIUrl":"https://doi.org/10.1115/imece2022-94161","url":null,"abstract":"\u0000 Spinning is a typical continuous local plastic forming and an advanced manufacturing technology to achieve less cutting machining of thin-walled rotary parts. As the external bearing component of aero-engine, the mainstream manufacturing method of sheet metal casing is hot power spinning. Its forming quality includes dimensional, shape accuracy and macroscopic defects. The refinement and uniformity of micro grain size are also important indicators. The FE finite element) model of tapered sheet metal casing with variable wall thickness in hot power spinning was established by DEFORM-3D. The average deflection angle deviation Δθ and standard deviation of wall thickness error Δt was used as the evaluation indexes of 13 simulation schemes. The effect of the mandrel speed, the roller feed ratio, the roller fillet radius and the initial temperature on the forming quality was analyzed. Through the spinning experiment of SXY1000 double-roller CNC spinning machine, the metallographic structure of different forming regions and the micro grain size under different temperatures and roller feed ratios are explored. The micro grain size of the formed part is more refined with the increase of the initial temperature. It decreases as the feed ratio increases, while the microscopic grain size uniformity decreases.","PeriodicalId":141381,"journal":{"name":"Volume 2A: Advanced Manufacturing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133763602","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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