期刊文献+

生物陶瓷铣削加工辅助支撑优化设计方法研究 被引量:1

Study on Optimization Design Method for Auxiliary Support in Milling of Bioceramics
下载PDF
导出
摘要 基于氧化锆生物陶瓷正交铣削试验数据,采用多元线性回归方程建立铣削力经验预测模型,为辅助支撑结构优化设计有限元模拟提供铣削力加载参考;结合生物陶瓷力学特性,通过有限元分析探索铣削力不同加载位置对辅助支撑应力应变的影响规律,校核支撑强度,为模型导入CAM系统后辅助支撑的设计提供优化及设计准则。理论分析和生物陶瓷修复体实际加工情况表明,该设计方法进行生物陶瓷铣削加工辅助支撑设计具有有效性和可行性,为提高生物陶瓷铣削效率提供了一种思路和方法。 The milling force model was established based on the orthogonal test data and the multiple linear regression equation of Zr O2 bioceramics which can inform the design of finite element simulation.According to the mechanical property of Zr O2 bioceramics and the finite element analysis of different auxiliary support positions,influence law of stress and strain distributing is analyzed and the strength was checked. Optimization and design criteria of auxiliary support could be provided after leading the model to CAM system. The theory analyses and machining practice of bioceramics restorations indicate that this method was effective and feasible on the design for auxiliary support of bioceramics and it could put forward an idea and method for improvement the efficiency of bioceramics milling.
出处 《人工晶体学报》 EI CAS CSCD 北大核心 2014年第12期3323-3329,共7页 Journal of Synthetic Crystals
基金 国家科技支撑计划(2012BAI07B04) 国家自然科学基金青年基金(51305206) 上海市科委部分地区院校能力建设项目(13160501000)
关键词 氧化锆生物陶瓷 铣削力 优化设计 辅助支撑 ZrO2 bioceramic milling force optimal design auxiliary support
  • 相关文献

参考文献9

  • 1Isabelle D,Robert K J.State of the Art of Zirconia for Dental Applications[J].Dental Materials,2008,24(3):299-307. 被引量:1
  • 2肖行志,郑侃,廖文和,刘红杰.铣削参数对牙科玻璃陶瓷表面粗糙度影响分析[J].硅酸盐通报,2013,32(11):2187-2193. 被引量:5
  • 3雷小宝..预烧结氧化锆义齿高速铣削加工关键技术与装备研究[D].南京航空航天大学,2011:
  • 4Bablani Minoo,Bagchi Amit.Quantification of Errors in Rapid Prototyping Processes and Determination of Preferred Orientation of Parts[C].Transactions of the North American Manufacturing Research Institution of the SME,Vol.XXIII,SME,Houghton,MI,May,2005:319-324. 被引量:1
  • 5Nee A Y C,Senthil K A,Tao Z J.An Intelligent Fixture with a Dynamic Clamping Scheme[J].Proc Instn.Mech.Engrs.,2000,214(3):183-196. 被引量:1
  • 6Ratchev S,Liu S,Huang W,et al.Milling error Prediction and compensation in machining of low-rigidity parts[J].International Journal of Machine Tools&Manufacture,2004,44:1629-1641. 被引量:1
  • 7Liu X W,Cheng K,Webb D,et al.Prediction of Cutting Force Distribution and Its Influence on Dimensional Accuracy in Peripheral Milling[J].International Journal of Machine Tools&Manufacture,2002,42:791-800. 被引量:1
  • 8陈蔚芳,陈华,楼佩煌,郑会龙.薄壁件加工变形控制快速仿真平台开发[J].计算机集成制造系统,2009,15(2):321-327. 被引量:12
  • 9杨峰.固定义齿数控加工基础技术研究[D].南京:南京航空航天大学博士学位论文,2013. 被引量:1

二级参考文献25

  • 1李梅,杨圣辉,王者玲,李金陆.钛种植体基台的表面粗糙度与细菌粘附[J].中华口腔医学杂志,2001,36(6):34-36. 被引量:13
  • 2周孝伦,张卫红,秦国华,张二亮.基于遗传算法的夹具布局和夹紧力同步优化[J].机械科学与技术,2005,24(3):339-342. 被引量:33
  • 3康永刚,王仲奇,吴建军,姜澄宇.基于实际切深的薄壁件加工变形误差的预测[J].西北工业大学学报,2007,25(2):251-256. 被引量:6
  • 4KULANKARA K, SATYANARAYANA S, MELKOTE S N. Iterative fixture layout and clamping force optimization u sing the genetic algorithm[J]. Journal of Manufacturing Science and Engineering, 2002,124 ( 1 ) : 119-125. 被引量:1
  • 5CHEN Weifang, NI Lijun, XUE Jianbin. Deformation control through fixture layout design and clamping force optimization [J].International Journal of Advanced Manufacturing Tech nology, 2008,38(9/10) 1860-867. 被引量:1
  • 6RATCHEV S, GOVENDER E, NIKOV S, et al, Force and deflection modelling in milling of low rigidity complex parts[J].Journal of Materials Processing Technology, 2003,143/144:796-801. 被引量:1
  • 7RATCHEV S, LIU S, HUANG W, et al. Milling error pre diction and compensation in machining of low-rigidity parts[J]. International Journal of Machine Tools & Manufacture, 2004, 44(15) :1629-1641. 被引量:1
  • 8BOUZID W. Cutting parameter optimization to minimize production time in high speed turning[J].Journal of Materials Processing Technology, 2005, 161(3) :388-395. 被引量:1
  • 9FRANCI C, UROZ Z. Approach to optimization of cutting conditions by using artificial neural networks[J]. Journal of Materials Processing Technology, 2006, 173 (3) : 281-290. 被引量:1
  • 10SARDINAS R Q, SANTANA M R, BRINDIS E A. Genetic algorithm-based multi-bjective optimization of cutting param eters in turning processes[J].. Engineering Applications of Artificial Intelligence, 2006, 19(2) :127-133. 被引量:1

共引文献15

同被引文献6

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部