{"title":"牛皮质骨骨折切割过程中遇到的声发射信号的微观结构起源","authors":"Roshan Mishra, Michael Conward, J. Samuel","doi":"10.1115/1.4062728","DOIUrl":null,"url":null,"abstract":"\n This paper is aimed at studying the acoustic emission signatures of dominant failure mechanisms encountered during fracture cutting of bovine cortical bone. This is achieved through an orthogonal cutting study performed in a sensor-rich environment comprising of a cutting force sensor, acoustic emission sensor and a high-speed camera. The synchronization of these three sensing modalities allows for the visual identification of the dominant failure modes, while also mapping them to their corresponding acoustic and cutting force metrics. Given their distinctly different underlying microstructures, the haversian and plexiform components of the bovine cortical bone are investigated separately. A total of six dominant failure mechanisms have been confirmed across the haversian and plexiform bone types. Osteon fracture and trans-lamellar fracture have been identified as the mechanisms expending the maximum energy during the fracture cutting of haversian and plexiform bone, respectively. Overall, the acoustic emission and the cutting force metrics are seen to be complementary in characterizing the six failure mechanisms. The findings of this work have implications for tool-mounted sensing modalities that could be used to detect ‘in-process’ failure mechanisms during bone surgical procedures.","PeriodicalId":16299,"journal":{"name":"Journal of Manufacturing Science and Engineering-transactions of The Asme","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"THE MICROSTRUCTURAL ORIGINS OF ACOUSTIC EMISSION SIGNATURES ENCOUNTERED DURING FRACTURE CUTTING OF BOVINE CORTICAL BONE\",\"authors\":\"Roshan Mishra, Michael Conward, J. Samuel\",\"doi\":\"10.1115/1.4062728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n This paper is aimed at studying the acoustic emission signatures of dominant failure mechanisms encountered during fracture cutting of bovine cortical bone. This is achieved through an orthogonal cutting study performed in a sensor-rich environment comprising of a cutting force sensor, acoustic emission sensor and a high-speed camera. The synchronization of these three sensing modalities allows for the visual identification of the dominant failure modes, while also mapping them to their corresponding acoustic and cutting force metrics. Given their distinctly different underlying microstructures, the haversian and plexiform components of the bovine cortical bone are investigated separately. A total of six dominant failure mechanisms have been confirmed across the haversian and plexiform bone types. Osteon fracture and trans-lamellar fracture have been identified as the mechanisms expending the maximum energy during the fracture cutting of haversian and plexiform bone, respectively. Overall, the acoustic emission and the cutting force metrics are seen to be complementary in characterizing the six failure mechanisms. The findings of this work have implications for tool-mounted sensing modalities that could be used to detect ‘in-process’ failure mechanisms during bone surgical procedures.\",\"PeriodicalId\":16299,\"journal\":{\"name\":\"Journal of Manufacturing Science and Engineering-transactions of The Asme\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Manufacturing Science and Engineering-transactions of The Asme\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4062728\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Science and Engineering-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062728","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
THE MICROSTRUCTURAL ORIGINS OF ACOUSTIC EMISSION SIGNATURES ENCOUNTERED DURING FRACTURE CUTTING OF BOVINE CORTICAL BONE
This paper is aimed at studying the acoustic emission signatures of dominant failure mechanisms encountered during fracture cutting of bovine cortical bone. This is achieved through an orthogonal cutting study performed in a sensor-rich environment comprising of a cutting force sensor, acoustic emission sensor and a high-speed camera. The synchronization of these three sensing modalities allows for the visual identification of the dominant failure modes, while also mapping them to their corresponding acoustic and cutting force metrics. Given their distinctly different underlying microstructures, the haversian and plexiform components of the bovine cortical bone are investigated separately. A total of six dominant failure mechanisms have been confirmed across the haversian and plexiform bone types. Osteon fracture and trans-lamellar fracture have been identified as the mechanisms expending the maximum energy during the fracture cutting of haversian and plexiform bone, respectively. Overall, the acoustic emission and the cutting force metrics are seen to be complementary in characterizing the six failure mechanisms. The findings of this work have implications for tool-mounted sensing modalities that could be used to detect ‘in-process’ failure mechanisms during bone surgical procedures.
期刊介绍:
Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining