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Li H, Cong Y, Zhou S, Zhang J. Cutting-Based Manufacturing and Surface Wettability of Microtextures on Pure Titanium. MATERIALS (BASEL, SWITZERLAND) 2024; 17:3861. [PMID: 39124525 PMCID: PMC11313247 DOI: 10.3390/ma17153861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 07/28/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024]
Abstract
Pure titanium is a preferred material for medical applications due to its outstanding properties, and the fabrication of its surface microtexture proves to be an effective method for further improving its surface-related functional properties, albeit imposing high demands on the processing accuracy of surface microtexture. Currently, we investigate the fabrication of precise microtextures on pure titanium surfaces with different grid depths using precision-cutting methods, as well as assess its impact on surface wettability through a combination of experiments and finite element simulations. Specifically, a finite element model is established for pure titanium precision cutting, which can predict the surface formation behavior during the cutting process and further reveal its dependence on cutting parameters. Based on this, precision-cutting experiments were performed to explore the effect of cutting parameters on the morphology of microtextured pure titanium with which optimized cutting parameters for high-precision microtextures and uniform feature size were obtained. Subsequent surface wettability measurement experiments demonstrated from a macroscopic perspective that the increase in the grid depth of the microtexture increases the surface roughness, thereby enhancing the hydrophilicity. Corresponding fluid-solid coupling finite-element simulation is carried out to demonstrate from a microscopic perspective that the increase in the grid depth of the microtexture decreases the cohesive force inside the droplet, thereby enhancing the hydrophilicity.
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Affiliation(s)
| | | | | | - Junjie Zhang
- Center for Precision Engineering, Harbin Institute of Technology, Harbin 150001, China; (H.L.)
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Shang P, Liu B, Guo C, Cui P, Hou Z, Jin F, Zhang J, Guo S, Huang Y, Zhang W. Study on Effect of Surface Micro-Texture of Cemented Carbide on Tribological Properties of Bovine Cortical Bone. MICROMACHINES 2024; 15:994. [PMID: 39203645 PMCID: PMC11356473 DOI: 10.3390/mi15080994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 07/22/2024] [Accepted: 07/23/2024] [Indexed: 09/03/2024]
Abstract
In bone-milling surgical procedures, the intense friction between the tool and bone material often results in high cutting temperatures, leading to the thermal necrosis of bone cells. This paper aims to investigate the effect of micro-texture on the tribological properties of YG8 cemented carbide in contact with bone. The main objective is to guide the design of tool surface microstructures to reduce frictional heat generation. To minimize experimental consumables and save time, numerical simulations are first conducted to determine the optimal machining depth for the texture. Subsequently, micro-textures with different shapes and pitches are prepared on the surface of YG8 cemented carbide. These textured samples are paired with bovine cortical bone pins featuring various bone unit arrangements, and friction and wear tests are conducted under physiological saline lubrication. The experimental results indicate that the appropriate shape and pitch of the micro-texture can minimize the coefficient of friction. The parallel arrangement of bone units exhibits a lower coefficient of friction compared to the vertical arrangement. This study holds significant implications for the design and fabrication of future micro-texture milling cutters.
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Affiliation(s)
- Peng Shang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Engineering Research Center of Ministry of Education for Intelligent Rehabilitation Device and Detection Technology, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; (B.L.); (F.J.); (J.Z.); (S.G.)
| | - Bingfeng Liu
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Engineering Research Center of Ministry of Education for Intelligent Rehabilitation Device and Detection Technology, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; (B.L.); (F.J.); (J.Z.); (S.G.)
- Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China;
| | - Chunhai Guo
- Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China;
| | - Peijuan Cui
- Beijing Institute of Precision Mechatronics and Controls, Beijing 100076, China; (P.C.); (Z.H.); (Y.H.)
| | - Zhanlin Hou
- Beijing Institute of Precision Mechatronics and Controls, Beijing 100076, China; (P.C.); (Z.H.); (Y.H.)
| | - Fengbin Jin
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Engineering Research Center of Ministry of Education for Intelligent Rehabilitation Device and Detection Technology, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; (B.L.); (F.J.); (J.Z.); (S.G.)
| | - Jianjun Zhang
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Engineering Research Center of Ministry of Education for Intelligent Rehabilitation Device and Detection Technology, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; (B.L.); (F.J.); (J.Z.); (S.G.)
| | - Shijie Guo
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Engineering Research Center of Ministry of Education for Intelligent Rehabilitation Device and Detection Technology, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China; (B.L.); (F.J.); (J.Z.); (S.G.)
| | - Yuping Huang
- Beijing Institute of Precision Mechatronics and Controls, Beijing 100076, China; (P.C.); (Z.H.); (Y.H.)
| | - Wenwu Zhang
- Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China;
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Allen Q, Raeymaekers B. Surface Texturing of Prosthetic Hip Implant Bearing Surfaces: A Review. JOURNAL OF TRIBOLOGY 2021; 143:040801. [PMID: 34168396 PMCID: PMC8208482 DOI: 10.1115/1.4048409] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 09/04/2020] [Accepted: 09/04/2020] [Indexed: 06/12/2023]
Abstract
More than 300,000 total hip replacement surgeries are performed in the United States each year to treat degenerative joint diseases that cause pain and disability. The statistical survivorship of these implants declines significantly after 15-25 years of use because wear debris causes inflammation, osteolysis, and mechanical instability of the implant. This limited longevity has unacceptable consequences, such as revision surgery to replace a worn implant, or surgery postponement, which leaves the patient in pain. Innovations such as highly cross-linked polyethylene and new materials and coatings for the femoral head have reduced wear significantly, but longevity remains an imminent problem. Another method to reduce wear is to add a patterned microtexture composed of micro-sized texture features to the smooth bearing surfaces. We critically review the literature on textured orthopedic biomaterial surfaces in the context of prosthetic hip implants. We discuss the different functions of texture features by highlighting experimental and simulated results documented by research groups active in this area. We also discuss and compare different manufacturing techniques to create texture features on orthopedic biomaterial surfaces and emphasize the key difficulties that must be overcome to produce textured prosthetic hip implants.
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Affiliation(s)
- Quentin Allen
- Department of Mechanical Engineering, University of Utah, 1495 E. 100 S. (1550 MEK), Salt Lake City, UT 84112
| | - Bart Raeymaekers
- Department of Mechanical Engineering, University of Utah, 1495 E. 100 S. (1550 MEK), Salt Lake City, UT 84112
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