Understanding heat generation can help improve one’s surgical drilling skill to avoid thermal injury. Surgical drilling is mostly done manually, so it can be time-consuming to create personalized thermal models to assess each drilling. For this reason, this paper presents a framework for 2D real-time heat map generation for a moving, varying heat source problem based on neural networks (NN) and linear time-invariant system (LTI). In this framework, several location-specific heat maps and their temporal responses are calculated by finite element analysis (FEA) and trained through NN to build a surrogate model. The total heat map of any given moving heat source can be generated by the superposition of a series of location-specific heat maps along the moving path. The NN training shows a correlation over 99%, indicating a highly representative surrogate model. The validation study of comparing two FEA-based moving heat source problems with the framework predicted results show overall good agreement. Error sources and improvement methods are discussed in this paper.
{"title":"A Neural Network-Based Framework of Real-Time Heat Map Generation for Surgical Hand-Held Drilling","authors":"Pei-Ching Kung, M. Heydari, Bruce L. Tai","doi":"10.1115/msec2022-85693","DOIUrl":"https://doi.org/10.1115/msec2022-85693","url":null,"abstract":"\u0000 Understanding heat generation can help improve one’s surgical drilling skill to avoid thermal injury. Surgical drilling is mostly done manually, so it can be time-consuming to create personalized thermal models to assess each drilling. For this reason, this paper presents a framework for 2D real-time heat map generation for a moving, varying heat source problem based on neural networks (NN) and linear time-invariant system (LTI). In this framework, several location-specific heat maps and their temporal responses are calculated by finite element analysis (FEA) and trained through NN to build a surrogate model. The total heat map of any given moving heat source can be generated by the superposition of a series of location-specific heat maps along the moving path. The NN training shows a correlation over 99%, indicating a highly representative surrogate model. The validation study of comparing two FEA-based moving heat source problems with the framework predicted results show overall good agreement. Error sources and improvement methods are discussed in this paper.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"154 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75103901","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}
In corneal surgery, several incision instruments including the curvilinear or straight incision blades are required to construct a scleral tunnel to ensure that the wound is self-sealing after the operation. Bulk metallic glass (BMG) is proving to be a good candidate for making surgical blades, where sharp edges can be produced through a thermoplastic molding and a drawing process implemented by designing and controlling the drawing velocity at supercooled temperature. This article presents a mechanistic approach to obtain drawing velocity profile of drawing actuators that accommodates various shapes of the blade edges without having to carry out the entire extensional drawing process, which is extensive and tedious. To manufacture the multi-facet BMG knife blade edges that result in good quality, the velocity profile is developed based on the filament stretching process and the geometry and shape of the mold along with the blade profile to maintain the imposed flow stress during the blade edge formation. Two types of geometrical transformational features including drawing distance and offset angle of the draw direction to the profile, are considered to ensure that the flow stress of the drawing process is in the desirable Newtonian region. To demonstrate the feasibility of the proposed approach, H∞ control design is used to facilitate consistent good quality necking of the blade formation. The velocity profile of 45° and crescent BMG blades are generated and used to manufacture these blades. The 45° blade edge samples are successfully manufactured with the average of X-Z, X-Y straightness, and the edge radius of the blade of 1.4 ± 0.5 μm, 1.4 ± 0.5 μm, and 42.4 ± 2.3 nm, respectively. The crescent blade edge samples are manufactured with roundness deviation, and the edge radius of the blade of 5.4 ± 1.6 μm, and 35.7 ± 4.2 nm, respectively. The effects of BMG sample temperature settings on the quality of the manufactured blades are presented.
{"title":"Thermoplastic Forming Process for Manufacturing Arbitrary Blade Edge Geometries From Bulk Metallic Glass","authors":"N. Dancholvichit, S. Salapaka, S. Kapoor","doi":"10.1115/msec2022-80859","DOIUrl":"https://doi.org/10.1115/msec2022-80859","url":null,"abstract":"\u0000 In corneal surgery, several incision instruments including the curvilinear or straight incision blades are required to construct a scleral tunnel to ensure that the wound is self-sealing after the operation. Bulk metallic glass (BMG) is proving to be a good candidate for making surgical blades, where sharp edges can be produced through a thermoplastic molding and a drawing process implemented by designing and controlling the drawing velocity at supercooled temperature. This article presents a mechanistic approach to obtain drawing velocity profile of drawing actuators that accommodates various shapes of the blade edges without having to carry out the entire extensional drawing process, which is extensive and tedious. To manufacture the multi-facet BMG knife blade edges that result in good quality, the velocity profile is developed based on the filament stretching process and the geometry and shape of the mold along with the blade profile to maintain the imposed flow stress during the blade edge formation. Two types of geometrical transformational features including drawing distance and offset angle of the draw direction to the profile, are considered to ensure that the flow stress of the drawing process is in the desirable Newtonian region. To demonstrate the feasibility of the proposed approach, H∞ control design is used to facilitate consistent good quality necking of the blade formation. The velocity profile of 45° and crescent BMG blades are generated and used to manufacture these blades. The 45° blade edge samples are successfully manufactured with the average of X-Z, X-Y straightness, and the edge radius of the blade of 1.4 ± 0.5 μm, 1.4 ± 0.5 μm, and 42.4 ± 2.3 nm, respectively. The crescent blade edge samples are manufactured with roundness deviation, and the edge radius of the blade of 5.4 ± 1.6 μm, and 35.7 ± 4.2 nm, respectively. The effects of BMG sample temperature settings on the quality of the manufactured blades are presented.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"192 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78080995","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}
Paavana Krishna Mandava, R. Joyce, James B. Day, Roozbeh Salary
The goal of this research work is to fabricate mechanically robust, porous, and biocompatible bone scaffolds with textured surfaces (for cell/tissue adhesion) for the treatment of osseous fractures. The objective of the work is to investigate the mechanical properties of triply periodic minimal surface (TPMS) bone scaffolds, fabricated using fused deposition modeling (FDM) additive manufacturing process, based on a medical grade composite composed of polyamide, polyolefin, and cellulose fibers. FDM has emerged as a high-resolution method for the fabrication of biological tissues and constructs. FDM allows for non-contact, multi-material deposition of functional materials for tissue engineering applications. However, the FDM process is intrinsically complex; the complexity of the process, largely, stems from complex physical phenomena and material-process interactions, which may adversely influence the mechanical properties, the surface morphology, and ultimately the functional characteristics of fabricated bone scaffolds. Consequently, physics-based material and process characterization would be an inevitable need. In this study, seven TPMS bone scaffolds were fabricated, based on the medical-grade polymer composite. The compression properties of the fabricated bone scaffolds were measured using a compression testing machine. The outcomes of this study pave the way for the fabrication of complex composite bone scaffolds with tunable medical and functional properties.
{"title":"Investigation of the Mechanical Properties of Additively Manufactured Bone Tissue Scaffolds, Composed of Polyamide, Polyolefin, and Cellulose Fibers","authors":"Paavana Krishna Mandava, R. Joyce, James B. Day, Roozbeh Salary","doi":"10.1115/msec2022-85435","DOIUrl":"https://doi.org/10.1115/msec2022-85435","url":null,"abstract":"\u0000 The goal of this research work is to fabricate mechanically robust, porous, and biocompatible bone scaffolds with textured surfaces (for cell/tissue adhesion) for the treatment of osseous fractures. The objective of the work is to investigate the mechanical properties of triply periodic minimal surface (TPMS) bone scaffolds, fabricated using fused deposition modeling (FDM) additive manufacturing process, based on a medical grade composite composed of polyamide, polyolefin, and cellulose fibers. FDM has emerged as a high-resolution method for the fabrication of biological tissues and constructs. FDM allows for non-contact, multi-material deposition of functional materials for tissue engineering applications. However, the FDM process is intrinsically complex; the complexity of the process, largely, stems from complex physical phenomena and material-process interactions, which may adversely influence the mechanical properties, the surface morphology, and ultimately the functional characteristics of fabricated bone scaffolds. Consequently, physics-based material and process characterization would be an inevitable need. In this study, seven TPMS bone scaffolds were fabricated, based on the medical-grade polymer composite. The compression properties of the fabricated bone scaffolds were measured using a compression testing machine. The outcomes of this study pave the way for the fabrication of complex composite bone scaffolds with tunable medical and functional properties.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"4 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83495732","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}
Three-dimensional (3D) bioprinting is a technology that has the power to positively change the medical and pharmaceutical fields in a new and more intuitive way. The goal of this rapidly growing field is to recreate functional tissues, but the process requires the ability to achieve large full-scale scaffolds that replicate human organs. There are many challenges when attempting to print large scaffolds ensuring proper internal and external geometric fidelity that is also suitable for the living cells that undergo the printing process. In order to fabricate a larger and more structurally sound scaffold, higher material viscosities are necessary. This increase in viscosity comes with an increase in printing pressure, which can create unbearable shear stress and eventually damage cells, diminishing viability and proliferation. A set of biomaterial compositions with high structural integrity and shape fidelity that did not require harmful amounts of pressure for extrusion was identified by analyzing rheological, mechanical, and microstructural properties. Many different large-scale scaffolds maintaining geometric fidelity were fabricated with heights up to 3.0 cm and 74 layers using these hybrid hydrogels. This advancement can ensure precise internal and external geometries of full-scale functional tissue replicating scaffolds using 3D bio-printing processes that utilize pressures and materials safe for live cell viability and proliferation.
{"title":"Developing Hybrid Hydrogels for Full-Scale Scaffold Fabrication Using Extrusion-Based Bioprinting Process","authors":"Cartwright Nelson, Slesha Tuladhar, Md. Ahasan Habib","doi":"10.1115/msec2022-85372","DOIUrl":"https://doi.org/10.1115/msec2022-85372","url":null,"abstract":"\u0000 Three-dimensional (3D) bioprinting is a technology that has the power to positively change the medical and pharmaceutical fields in a new and more intuitive way. The goal of this rapidly growing field is to recreate functional tissues, but the process requires the ability to achieve large full-scale scaffolds that replicate human organs. There are many challenges when attempting to print large scaffolds ensuring proper internal and external geometric fidelity that is also suitable for the living cells that undergo the printing process. In order to fabricate a larger and more structurally sound scaffold, higher material viscosities are necessary. This increase in viscosity comes with an increase in printing pressure, which can create unbearable shear stress and eventually damage cells, diminishing viability and proliferation. A set of biomaterial compositions with high structural integrity and shape fidelity that did not require harmful amounts of pressure for extrusion was identified by analyzing rheological, mechanical, and microstructural properties. Many different large-scale scaffolds maintaining geometric fidelity were fabricated with heights up to 3.0 cm and 74 layers using these hybrid hydrogels. This advancement can ensure precise internal and external geometries of full-scale functional tissue replicating scaffolds using 3D bio-printing processes that utilize pressures and materials safe for live cell viability and proliferation.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"80 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90587467","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}
Permanent settlement on the surface of planets like the Moon and Mars is anticipated to be beneficial for long-duration exploration missions. The space agencies have developed several plans, along with other commercial partners, to build operational stations on such planetary bodies, which will be economical and resourceful to execute further missions into deep space. Therefore, the real integration of an advanced manufacturing technique is essentially a matter of further research to design and deliver critical subsystems utilising in-situ resources available on the surface of Mars. The Additive Manufacturing (AM) technique is becoming increasingly promising for developing complex structures by depositing multiple consecutive layers, unlike specific moulds required in the conventional manufacturing process. Therefore, to assess the feasibility of 3D printing with local resources technically, a recently developed artificial Mars soil simulant known as Jining Martian Soil Simulant (JMSS-1) has been processed to formulate clay useful for the extrusion 3D printing process. The developed Martian clay has been fabricated, characterised, and its dielectric properties measured at high frequencies for the first time. A stable aqueous clay has been developed containing less organics (< 10 wt% versus typically 30–40 wt%), which is amenable to resource-efficient 3D printing. A range of solid and porous structures of various shapes and sizes have been fabricated using a custom-developed material extrusion 3D printing system. The 3D printed artificial Martian clay sintered for 2 hours at 1100°C exhibited relative permittivity (εr) = 4.52, dielectric loss (tanδ) = 0.0015, quality factor (Q × f) = 7039 GHz. TCf = −19; and demonstrated similar properties at higher frequencies. This work demonstrates the progress in clay additive manufacturing and illustrates the potential to deliver components with functional properties through a “Powder to Product” holistic approach that can support long-term space exploration by utilising local resources available on Mars.
{"title":"3D Printing of Eco-Friendly Artificial Martian Clay (JMSS-1) for In-Situ Resource Utilization on Mars","authors":"Avishek Ghosh, J. Favier","doi":"10.1115/msec2022-85353","DOIUrl":"https://doi.org/10.1115/msec2022-85353","url":null,"abstract":"\u0000 Permanent settlement on the surface of planets like the Moon and Mars is anticipated to be beneficial for long-duration exploration missions. The space agencies have developed several plans, along with other commercial partners, to build operational stations on such planetary bodies, which will be economical and resourceful to execute further missions into deep space. Therefore, the real integration of an advanced manufacturing technique is essentially a matter of further research to design and deliver critical subsystems utilising in-situ resources available on the surface of Mars. The Additive Manufacturing (AM) technique is becoming increasingly promising for developing complex structures by depositing multiple consecutive layers, unlike specific moulds required in the conventional manufacturing process. Therefore, to assess the feasibility of 3D printing with local resources technically, a recently developed artificial Mars soil simulant known as Jining Martian Soil Simulant (JMSS-1) has been processed to formulate clay useful for the extrusion 3D printing process. The developed Martian clay has been fabricated, characterised, and its dielectric properties measured at high frequencies for the first time. A stable aqueous clay has been developed containing less organics (< 10 wt% versus typically 30–40 wt%), which is amenable to resource-efficient 3D printing. A range of solid and porous structures of various shapes and sizes have been fabricated using a custom-developed material extrusion 3D printing system. The 3D printed artificial Martian clay sintered for 2 hours at 1100°C exhibited relative permittivity (εr) = 4.52, dielectric loss (tanδ) = 0.0015, quality factor (Q × f) = 7039 GHz. TCf = −19; and demonstrated similar properties at higher frequencies. This work demonstrates the progress in clay additive manufacturing and illustrates the potential to deliver components with functional properties through a “Powder to Product” holistic approach that can support long-term space exploration by utilising local resources available on Mars.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90881680","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}
Xinyao Zhang, Kareem A. Eltouny, Xiao Liang, S. Behdad
Disassembly is an essential process for the recovery of end-of-life (EOL) electronics in remanufacturing sites. Nevertheless, the process remains labor-intensive due to EOL electronics’ high degree of uncertainty and complexity. The robotic technology can assist in improving disassembly efficiency, however, the characteristics of EOL electronics pose difficulties for robot operation, such as removing small components. For such tasks, detecting small objects is critical for robotic disassembly systems. Screws are widely used as fasteners in ordinary electronic products while having small sizes and varying shapes in a scene. To achieve robotic disassembly of screws, the location information and the required tools need to be predicted. This paper proposes a framework to automatically detect screws and recommend related tools for disassembly. First, the YOLOv4 algorithm is used to detect screw targets in EOL electronic devices, and then a screw image extraction mechanism is executed based on the position coordinates predicted by YOLOv4. Second, after obtaining the screw images, the EfficientNetv2 algorithm is applied for screw shape classification. In addition to proposing a framework for automatic small-object detection, we explore how to modify the object detection algorithm to improve its performance and discuss the sensitivity of tool recommendations to the detection predictions. A case study of three different types of screws is used to evaluate the performance of the proposed framework.
{"title":"Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly","authors":"Xinyao Zhang, Kareem A. Eltouny, Xiao Liang, S. Behdad","doi":"10.1115/msec2022-85403","DOIUrl":"https://doi.org/10.1115/msec2022-85403","url":null,"abstract":"\u0000 Disassembly is an essential process for the recovery of end-of-life (EOL) electronics in remanufacturing sites. Nevertheless, the process remains labor-intensive due to EOL electronics’ high degree of uncertainty and complexity. The robotic technology can assist in improving disassembly efficiency, however, the characteristics of EOL electronics pose difficulties for robot operation, such as removing small components. For such tasks, detecting small objects is critical for robotic disassembly systems. Screws are widely used as fasteners in ordinary electronic products while having small sizes and varying shapes in a scene. To achieve robotic disassembly of screws, the location information and the required tools need to be predicted. This paper proposes a framework to automatically detect screws and recommend related tools for disassembly. First, the YOLOv4 algorithm is used to detect screw targets in EOL electronic devices, and then a screw image extraction mechanism is executed based on the position coordinates predicted by YOLOv4. Second, after obtaining the screw images, the EfficientNetv2 algorithm is applied for screw shape classification. In addition to proposing a framework for automatic small-object detection, we explore how to modify the object detection algorithm to improve its performance and discuss the sensitivity of tool recommendations to the detection predictions. A case study of three different types of screws is used to evaluate the performance of the proposed framework.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"2013 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86467912","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}
This paper introduces an imaging technique to enhance three-dimensional (3D) surface profiling of the machined part by using a feature-selective segmentation (FSS) and merging technique. Spatially-resolved 3D stereoscopic images were achieved compared with those of the conventional filtering-based imaging process. Two identical vision cameras simultaneously take images of the parts at different angles, and 3D images can be reconstructed by stereoscopy algorithm. High-pass and low-pass filtering of the images involves data loss and lowers the spatial resolution of the image. In this study, the 3D reconstructed image resolution was significantly improved by automatically classifying and selectively segmenting the features on the 2D images, locally and adaptively applying super-resolution algorithm to the segmented images based on the classified features, and then merging those filtered segments. Here, the features are transformed into masks that selectively separate the features and background images for segmentation. The measurement system scanned the machined part with various shape and height information. The experimental results were compared with those of a conventional high-pass and low-pass filtering method in terms of spatial frequency and profile accuracy. As a result, the selective feature segmentation technique was capable of spatially-resolved 3D stereoscopic imaging while preserving imaging features. The proposed imaging method will be implemented with strobo-stereoscopy for in-process 3D surface imaging.
{"title":"Enhanced Three-Dimensional Surface Profiling Technique Based on a Feature-Selective Segmentation and Merging","authors":"Xiangyu Guo, Chabum Lee","doi":"10.1115/msec2022-85343","DOIUrl":"https://doi.org/10.1115/msec2022-85343","url":null,"abstract":"\u0000 This paper introduces an imaging technique to enhance three-dimensional (3D) surface profiling of the machined part by using a feature-selective segmentation (FSS) and merging technique. Spatially-resolved 3D stereoscopic images were achieved compared with those of the conventional filtering-based imaging process. Two identical vision cameras simultaneously take images of the parts at different angles, and 3D images can be reconstructed by stereoscopy algorithm. High-pass and low-pass filtering of the images involves data loss and lowers the spatial resolution of the image. In this study, the 3D reconstructed image resolution was significantly improved by automatically classifying and selectively segmenting the features on the 2D images, locally and adaptively applying super-resolution algorithm to the segmented images based on the classified features, and then merging those filtered segments. Here, the features are transformed into masks that selectively separate the features and background images for segmentation. The measurement system scanned the machined part with various shape and height information. The experimental results were compared with those of a conventional high-pass and low-pass filtering method in terms of spatial frequency and profile accuracy. As a result, the selective feature segmentation technique was capable of spatially-resolved 3D stereoscopic imaging while preserving imaging features. The proposed imaging method will be implemented with strobo-stereoscopy for in-process 3D surface imaging.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"32 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82400487","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}
Electric vehicles (EVs) are spreading rapidly in the market due to their better responsiveness and environmental friendliness. An accurate diagnosis of EV battery status from operational data is necessary to ensure reliability, minimize maintenance costs, and improve sustainability. This paper presents a deep learning approach based on the long short-term memory network (LSTM) to estimate the state of health (SOH) and degradation of lithium-ion batteries for electric vehicles without prior knowledge of the complex degradation mechanisms. Our results are demonstrated on the open-source NASA Randomized Battery Usage Dataset with batteries aging under changing operating conditions. The randomized discharge data can better represent practical battery usage. The study provides additional end-of-use suggestions, including continued use, remanufacturing/repurposing, recycling, and disposal; for battery management dependent on the predicted battery status. The suggested replacement point is proposed to avoid a sharp degradation phase of the battery to prevent a significant loss of active material on the electrodes. This facilitates the remanufacturing/repurposing process for the replaced battery, thereby extending the battery’s life for secondary use at a lower cost. The prediction model provides a tool for customers and the battery second use industry to handle their EV battery properly to get the best economy and system reliability compromise.
{"title":"Electric Vehicle Battery End-Of-Use Recovery Management: Degradation Prediction and Decision Making","authors":"Yixin Zhao, S. Behdad","doi":"10.1115/msec2022-85536","DOIUrl":"https://doi.org/10.1115/msec2022-85536","url":null,"abstract":"\u0000 Electric vehicles (EVs) are spreading rapidly in the market due to their better responsiveness and environmental friendliness. An accurate diagnosis of EV battery status from operational data is necessary to ensure reliability, minimize maintenance costs, and improve sustainability. This paper presents a deep learning approach based on the long short-term memory network (LSTM) to estimate the state of health (SOH) and degradation of lithium-ion batteries for electric vehicles without prior knowledge of the complex degradation mechanisms. Our results are demonstrated on the open-source NASA Randomized Battery Usage Dataset with batteries aging under changing operating conditions. The randomized discharge data can better represent practical battery usage. The study provides additional end-of-use suggestions, including continued use, remanufacturing/repurposing, recycling, and disposal; for battery management dependent on the predicted battery status. The suggested replacement point is proposed to avoid a sharp degradation phase of the battery to prevent a significant loss of active material on the electrodes. This facilitates the remanufacturing/repurposing process for the replaced battery, thereby extending the battery’s life for secondary use at a lower cost. The prediction model provides a tool for customers and the battery second use industry to handle their EV battery properly to get the best economy and system reliability compromise.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82495523","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}
In laser-based manufacturing, processing setup customization is one of the popular approaches used to enhance diversity in material processing using a single laser. In this study, we propose setup design modification of an ultrafast laser system to demonstrate both Tin Oxide (SnO2) nanoparticle synthesis from bulk metal, and post printing of said nanoparticles using Laser Induced Forward Transfer (LIFT) method. Using the Pulse Laser Ablation in Liquid (PLA-L) method, nanoparticles were synthesized from a bulk tin metal cube submerged in distilled water. Such nanoparticles dispersed in water can form colloidal ink that can be used for different printed electronics applications. Pulse energy was varied to investigate the influence on morphological properties of the nanoparticles. It was observed that a decrease in average particle size, and an increase in the number of particles synthesized occurred as the pulse energy was increased. In our study, we adapted the same laser system to enable LIFT operation for printing of the SnO2 nanoparticles. The colloidal ink prepared was then used in LIFT method to study feasibility of printing the synthesized nanoparticles. By varying not only the laser parameters but process parameters such as coating thickness and drying time, printed results can be improved. Experimental results show great potential for both synthesizing and printing of the nanoparticles using a single laser system. This study serves as a proof of concept that a single laser system can turn bulk metal into nanoparticles-based applications without the need for extra processing from other machines/systems, opening the door to highly customizable prints with reduced lead times.
{"title":"Synthesizing and Printing of Tin Oxide Nanoparticles Using a Single Ultrafast Laser System: A Feasibility Study","authors":"Enrique Contreras Lopez, F. Ahmed, Jianzhi Li","doi":"10.1115/msec2022-85601","DOIUrl":"https://doi.org/10.1115/msec2022-85601","url":null,"abstract":"\u0000 In laser-based manufacturing, processing setup customization is one of the popular approaches used to enhance diversity in material processing using a single laser. In this study, we propose setup design modification of an ultrafast laser system to demonstrate both Tin Oxide (SnO2) nanoparticle synthesis from bulk metal, and post printing of said nanoparticles using Laser Induced Forward Transfer (LIFT) method. Using the Pulse Laser Ablation in Liquid (PLA-L) method, nanoparticles were synthesized from a bulk tin metal cube submerged in distilled water. Such nanoparticles dispersed in water can form colloidal ink that can be used for different printed electronics applications. Pulse energy was varied to investigate the influence on morphological properties of the nanoparticles. It was observed that a decrease in average particle size, and an increase in the number of particles synthesized occurred as the pulse energy was increased. In our study, we adapted the same laser system to enable LIFT operation for printing of the SnO2 nanoparticles. The colloidal ink prepared was then used in LIFT method to study feasibility of printing the synthesized nanoparticles. By varying not only the laser parameters but process parameters such as coating thickness and drying time, printed results can be improved. Experimental results show great potential for both synthesizing and printing of the nanoparticles using a single laser system. This study serves as a proof of concept that a single laser system can turn bulk metal into nanoparticles-based applications without the need for extra processing from other machines/systems, opening the door to highly customizable prints with reduced lead times.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"25 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82793462","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}
Direct write Inkjet Printing is a versatile additive manufacturing technology that allows for the fabrication of multiscale structures with dimensions spanning from nano to cm scale. This is made possible due to the development of novel dispensing tools, enabling controlled and precise deposition of fluid with a wide range of viscosities (1 – 50 000 mPas) in nanoliter volumes. As a result, Inkjet printing has been recognized as a potential low-cost alternative for several established manufacturing methods, including cleanroom fabrication. In this paper, we present a characterization study of PEDOT: PSS polymer ink deposition printing process realized with the help of an automated, custom Direct Write Inkjet system. PEDOT: PSS is a highly conductive ink that possesses good film forming capabilities. Applications thus include printing thin films on flexible substrates for tactile (touch) sensors. We applied the Taguchi Design of Experiment (DOE) method to produce the optimal set of PEDOT:PSS ink dispensing parameters, to study their influence on the resulting ink droplet diameter. We experimentally determined that the desired outcome of a printed thin film with minimum thickness is directly related to 1) the minimum volume of dispensed fluid and 2) the presence of a preprocessing step, namely air plasma treatment of the Kapton substrate. Results show that an ink deposit with a minimum diameter of 482 μm, and a thin film with approximately 300 nm thickness were produced with good repeatability.
{"title":"Characterization of the Direct Write Inkjet Printing Process for Automated Fabrication of PEDOT: PSS Thin Films","authors":"Sara Morice, A. Sherehiy, Danming Wei, D. Popa","doi":"10.1115/msec2022-85409","DOIUrl":"https://doi.org/10.1115/msec2022-85409","url":null,"abstract":"\u0000 Direct write Inkjet Printing is a versatile additive manufacturing technology that allows for the fabrication of multiscale structures with dimensions spanning from nano to cm scale. This is made possible due to the development of novel dispensing tools, enabling controlled and precise deposition of fluid with a wide range of viscosities (1 – 50 000 mPas) in nanoliter volumes. As a result, Inkjet printing has been recognized as a potential low-cost alternative for several established manufacturing methods, including cleanroom fabrication. In this paper, we present a characterization study of PEDOT: PSS polymer ink deposition printing process realized with the help of an automated, custom Direct Write Inkjet system. PEDOT: PSS is a highly conductive ink that possesses good film forming capabilities. Applications thus include printing thin films on flexible substrates for tactile (touch) sensors. We applied the Taguchi Design of Experiment (DOE) method to produce the optimal set of PEDOT:PSS ink dispensing parameters, to study their influence on the resulting ink droplet diameter. We experimentally determined that the desired outcome of a printed thin film with minimum thickness is directly related to 1) the minimum volume of dispensed fluid and 2) the presence of a preprocessing step, namely air plasma treatment of the Kapton substrate. Results show that an ink deposit with a minimum diameter of 482 μm, and a thin film with approximately 300 nm thickness were produced with good repeatability.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"72 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81723610","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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