• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Optimization of Cutting Parameters for Deep Hole Boring of Ti-6Al-4V Deep Bottle Hole.

作者信息

Li Wanzhong, Zheng Huan, Feng Yazhou

机构信息

Mechanical Engineering College, Xi'an Shiyou University, Xi'an 710065, China.

出版信息

Materials (Basel). 2023 Jul 27;16(15):5286. doi: 10.3390/ma16155286.

DOI:10.3390/ma16155286
PMID:37569987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10419836/
Abstract

In this study, the cutting parameters for machining deep bottle holes (deep holes with complex profiles and length-to-diameter ratio greater than 10) were optimized based on cutting simulation, a regression analysis genetic algorithm, and experimental validation. The influence of cutting parameters on cutting force and cutting temperature was analyzed using the response surface method (RSM), and the regression prediction model of cutting parameters with cutting force and most cutting temperature was established. Based on this model, multi-objective optimization of cutting force and material removal rate was carried out based on a genetic algorithm, and a set of optimal cutting parameters ( = 139.41 m/min, = 1.12 mm, = 0.27 mm/rev) with low cutting force and high material removal rate were obtained. Finally, based on the optimal cutting parameters, the machining of TC4 deep bottle holes with a length-to-diameter (L/D) ratio of 36.36 and a roughness of Ra 3.2 µm was accomplished through a deep hole boring experiment, which verified the feasibility of the selected cutting parameters and provided a certain reference for the machining of this type of parts.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/b2511f38f396/materials-16-05286-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/56d67a749f54/materials-16-05286-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/270dddaa3cfd/materials-16-05286-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/523bfc1d79f9/materials-16-05286-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/1b665507e286/materials-16-05286-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/19d23eddcbf8/materials-16-05286-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/f2cbeb0f841c/materials-16-05286-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/ebc0bd81dc63/materials-16-05286-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/9459c5d05a23/materials-16-05286-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/b290523d49b7/materials-16-05286-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/2b1fbc5d001c/materials-16-05286-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/1b01b61f4a34/materials-16-05286-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/135b24c0fea3/materials-16-05286-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/40a92e01d959/materials-16-05286-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/b2511f38f396/materials-16-05286-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/56d67a749f54/materials-16-05286-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/270dddaa3cfd/materials-16-05286-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/523bfc1d79f9/materials-16-05286-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/1b665507e286/materials-16-05286-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/19d23eddcbf8/materials-16-05286-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/f2cbeb0f841c/materials-16-05286-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/ebc0bd81dc63/materials-16-05286-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/9459c5d05a23/materials-16-05286-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/b290523d49b7/materials-16-05286-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/2b1fbc5d001c/materials-16-05286-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/1b01b61f4a34/materials-16-05286-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/135b24c0fea3/materials-16-05286-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/40a92e01d959/materials-16-05286-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fca/10419836/b2511f38f396/materials-16-05286-g014.jpg

相似文献

1
Optimization of Cutting Parameters for Deep Hole Boring of Ti-6Al-4V Deep Bottle Hole.
Materials (Basel). 2023 Jul 27;16(15):5286. doi: 10.3390/ma16155286.
2
Experimental Study on the Roundness of Deep Holes in 7075 Aluminum Alloy Parts by Two-Dimensional Ultrasonic Elliptical Vibration Boring.二维超声椭圆振动镗削7075铝合金零件深孔圆度的试验研究
Micromachines (Basel). 2023 Nov 30;14(12):2185. doi: 10.3390/mi14122185.
3
Multi-response optimization of process parameters in nitrogen-containing gray cast iron milling process based on application of non-dominated ranking genetic algorithm.基于非支配排序遗传算法应用的含氮灰铸铁铣削过程工艺参数多响应优化
Heliyon. 2022 Nov 17;8(11):e11629. doi: 10.1016/j.heliyon.2022.e11629. eCollection 2022 Nov.
4
Towards Optimization of Surface Roughness and Productivity Aspects during High-Speed Machining of Ti-6Al-4V.钛合金Ti-6Al-4V高速加工过程中表面粗糙度与生产率方面的优化研究
Materials (Basel). 2019 Nov 14;12(22):3749. doi: 10.3390/ma12223749.
5
Multi-Response Optimization in High-Speed Machining of Ti-6Al-4V Using TOPSIS-Fuzzy Integrated Approach.基于TOPSIS-模糊集成方法的Ti-6Al-4V高速加工多响应优化
Materials (Basel). 2020 Mar 2;13(5):1104. doi: 10.3390/ma13051104.
6
Studied validation of finite element modeling for titanium alloy (Ti-6Al-4V) at face milling.钛合金（Ti-6Al-4V）面铣削有限元建模的研究验证。
Heliyon. 2023 Jun 27;9(7):e17670. doi: 10.1016/j.heliyon.2023.e17670. eCollection 2023 Jul.
7
Multiobjective Optimization of Cutting Parameters for TA10 Alloy Deep-Hole Drilling.TA10合金深孔钻削切削参数的多目标优化
Materials (Basel). 2022 Jun 20;15(12):4366. doi: 10.3390/ma15124366.
8
A Study on Optimal Machining Conditions and Energy Efficiency in Plasma Assisted Machining of Ti-6Al-4V.钛合金Ti-6Al-4V等离子辅助加工的最佳加工条件与能量效率研究
Materials (Basel). 2019 Aug 14;12(16):2590. doi: 10.3390/ma12162590.
9
Revealing the WEDM Process Parameters for the Machining of Pure and Heat-Treated Titanium (Ti-6Al-4V) Alloy.揭示电火花线切割加工纯钛及热处理钛合金（Ti-6Al-4V）的工艺参数。
Materials (Basel). 2021 Apr 28;14(9):2292. doi: 10.3390/ma14092292.
10
Effects of Process Cutting Parameters on the Ti-6Al-4V Turning with Monolithic Driven Rotary Tool.工艺切削参数对整体驱动旋转刀具车削Ti-6Al-4V的影响
Materials (Basel). 2022 Jul 26;15(15):5181. doi: 10.3390/ma15155181.

引用本文的文献

1
Optimization of Internal Chip Evacuation Cutting Tool System for Deep Bottle Holes Based on Chip Morphology Control.基于切屑形态控制的深瓶孔内排屑切削刀具系统优化
Materials (Basel). 2025 Sep 11;18(18):4263. doi: 10.3390/ma18184263.
2
Advanced Machining Technology for Modern Engineering Materials.现代工程材料的先进加工技术
Materials (Basel). 2024 Apr 28;17(9):2064. doi: 10.3390/ma17092064.
3
Operating Properties of Deep Hole Boring Tools with Modified Design.改进设计的深孔镗刀的操作特性

本文引用的文献

1
Evaluation of Cutting-Tool Coating on the Surface Roughness and Hole Dimensional Tolerances during Drilling of Al6061-T651 Alloy.Al6061-T651合金钻孔过程中切削刀具涂层对表面粗糙度和孔尺寸公差的影响评估
Materials (Basel). 2021 Apr 4;14(7):1783. doi: 10.3390/ma14071783.
2
Study on super-long deep-hole drilling of titanium alloy.钛合金超长深孔钻削研究
J Appl Biomater Funct Mater. 2018 Jan;16(1_suppl):150-156. doi: 10.1177/2280800017751491.
Materials (Basel). 2024 Mar 28;17(7):1551. doi: 10.3390/ma17071551.