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- 基本教学信息
- 本科教学信息
- 1 现代切削理论与技术前沿研究（Frontier research of modern cutting theory and technology），32学时/年，研究生课程；
2 先进制造技术前沿（Frontier Development of Advanced Manufacturing Technology），24学时/年，本科生课程；
3 先进制造技术前沿（案例）；
4 特种加工，24学时/年，本科生课程；
5 机械制造装备，32学时/年，本科生课程。 - 教学项目及获奖
- 第四届河北省高校教师教学创新大赛一等奖，排名第三。
- 研究生教学信息
- 学科及研究方向
- 1.[硕士]机械制造及其自动化(080201)，研究方向： 智能化切削加工、切削数据优化和高性能陶瓷刀具研究
- 研究生招生信息
- 1.招生计划：每年招收硕士研究生2名
2.研究方向：智能切削加工、超精密切削加工、深度学习技术和高性能陶瓷刀具制备研究 - 硕士教学信息
- 博士教学信息
- 科研信息
- 在研项目信息
- 微细热管传热与纳米流体散热的耦合冷却效应及铣刀降温和抑磨机理研究，国家自然科学基金青年基金，30万，主持
燕山大学-优秀人才科研启动经费，80万，主持。
基于铸铁组分变化的切削能耗图结构推理模型建立及切削参数优化方法（E2022203125）河北省自然科学基金青年基金，6万元，主持。
多种陶瓷材料的光固化增材连续成形理论、关键技术与装备，国家重点研发计划，2300万，参与。
基于卷积神经网络和实例推理的影像病理诊断系统研究，广东省微创手术器械设计与精密制造重点实验室开放基金，5万，主持。
多种陶瓷材料的光固化增材连续成形技术与装备，国家重点研发计划子课题，16万，主持。
燕山大学基础创新科研培育项目，2万，主持
激光与纳米流体惯性微射流辅助高速铣削机理和图结构优化调控策略研究，市厅级项目，5万，主持 - 完成项目信息
- 2017.01-2020.12 汽车发动机蠕墨铸铁切削数据的智能推理与推送技术研究，国家自然科学基金面上项目， 主研
- 专著、专利信息
- 黄传真;徐龙华;史振宇;王真;黄水泉;刘含莲;邹斌;朱洪涛;姚鹏;刘盾.蠕墨铸铁切削数据的综合智能推理软件.软件著作权登记号：2022SR0242773
- 学术论文信息
- [12] Xu, Longhua; Huang, Chuanzhen;Wang, Zhen;Liu, Hanlian;Huang, Shuiquan1;Wang, Jun. Novel intelligent reasoning system for tool wear prediction and parameter optimization in intelligent milling, Advances in manufacturing, 2023.
[1] Xu Longhua, Chuanzhen Huang, Li Chengwu, Wang Jun, Liu Hanlian, Wang Xiaodan. A novel intelligent reasoning system to estimate energy consumption and optimize cutting parameters toward sustainable machining, Journal of Cleaner Production, 2020, 261: 3902-3909（中科院一区,TOP IF: 9.297）;
[2] Xu Longhua, Chuanzhen Huang, Li Chengwu, Wang Jun, Liu Hanlian, Wang Xiaodan. An improved case based reasoning method and its application in estimation of surface quality toward intelligent machining, Journal of Intelligent Manufacturing, 2021, 32:313-327. （中科院一区, TOP,IF: 6.485）;
[3] Xu Longhua, Chuanzhen Huang, Li Chengwu, Wang Jun, Liu Hanlian, Wang Xiaodan. Estimation of tool wear and optimization of cutting parameters based on novel ANFIS-PSO method toward intelligent machining, Journal of Intelligent Manufacturing, 2021, 32: 77-90. （中科院一区,TOP, IF: 6.485）;
[4] Xu Longhua, Chuanzhen Huang, Li Chengwu, Wang Jun, Liu Hanlian, Wang Xiaodan. Prediction of cutting power and surface quality, and optimization of cutting parameters using new inference system toward intelligent machining，Advances in manufacturing，2021, （中科院二区, IF=3.480）;
[5] Xu Longhua, Chuanzhen Huang, Li Chengwu, Wang Jun, Liu Hanlian, Wang Xiaodan. An improved Case-Based Reasoning method and its application to predict machining performance, Soft Computing, 2021, 25: 5683-5679. （中科院三区, IF: 3.643）;
[6] Xu Longhua, Chuanzhen Huang, Li Chengwu, Wang Jun, Liu Hanlian, Wang Xiaodan. Prediction of tool wear width size and optimization of cutting parameters in milling process using ANFIS with novel PSO algorithm, Proceedings of the institution of mechanical engineers Part B: Journal of Engineering Manufacture, 2020，（中科院三区, IF: 2.610）;
[7] Xu Longhua, Chuanzhen Huang, Su Rui, Zhu Hongtao, Liu Hanlian, Liu Yue, Li Chengwu, Wang Jun. Estimation of tool life and cutting burr in high speed milling of the compacted graphite iron by de based adaptive neuro-fuzzy inference system, Mechanical Sciences, 2019, 43: 12–22, （中科院四区, IF: 1.015）;
[8] Su Rui, Huang Chuanzhen, Xu Longhua, Zou Bin, Liu Hanlian, Liu Yue, Li Chengwu. Changes of cutting performance under different workpiece removal volume during normal speed and high speed milling of compacted graphite iron, International journal of advanced manufacturing technology.2019, 100(9): 2785-2794（中科院三区, IF: 2.633）;
[9] Liu Guoliang, Huang Chuanzhen, Su Rui, Liu Yue, Xu Longhua. 3D FEM simulation of the turning process of stainless steel 17-4PH with differently texturized cutting tools. International journal of Mechanical Sciences. 2019, 155: 417-429.（中科院二区, IF: 4.631）;
[10] Jiahui Niu, Chuanzhen Huang, Chengwu Li, Bin Zou, Longhua Xu, Jun Wang. A comprehensive method for selecting cutting tool materials. International journal of advanced manufacturing technology, 2019, （中科院三区, IF: 2.633）;
[11] Xinyao Cui;Chuanzhen Huang; Zhenyu Shi;Hanlian Liu;Shijie Li;Youlong Han;Lianggang Ji;Zhen Wang;Longhua Xu;Shuiquan Huang.The crack-healing and strength recovery mechanisms for the new developed Ti(C,N)-TiSi2-WC composite ceramic tool materials with crack-healing ability.Ceramics International.2023 (中科院一区） - 科研获奖信息
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