曹华军，1978年生，男，中共党员，博士，二级教授，博士生导师，现任重庆大学科学技术发展研究院院长、前沿学科交叉研究院院长、制造工程研究所所长，高端装备机械传动全国重点实验室固定研究人员。入选国家高层次领军人才和青年人才，科睿唯安全球高被引科学家，国家重点研发计划项目首席科学家等，兼任国家重点研发计划高性能制造技术与重大装备重点专项总体专家组副组长、国家产业基础专家委员会委员、中国机械工程学会绿色制造分会副主任委员等。主要从事绿色制造装备与系统领域的研究工作，主持国家863计划重点课题、国家自然科学基金项目、国家重点研发计划重点项目等10余项，发表高水平学术论文200余篇，授权国家发明专利40余项，出版专著4部，制定国家技术标准6项，先后获国家科技进步二等奖（2018，序5）重庆市科技进步一等奖（序1，2019）、山东省技术发明一等奖（序2，2018）、中国机械工业科学技术进步一等奖（序1，2019）、中国产学研合作创新成果一等奖（序1，2018）等。

1、主要研究方向

1）绿色制造战略及基础理论

2）数控机床绿色化、智能化

3）产品及制造系统碳排放核算与精益管控

4）智能基础零部件

2、主要工作经历

2004.6-2006.9重庆大学机械工程学院讲师

2006.9-2010.9重庆大学机械工程学院副教授

2008.12-2009.12美国加州大学戴维斯分校访问学者

2010.9-2019.6重庆大学机械工程学院教授

2019.7-2023.6重庆大学机械与运载工程学院副院长

2023.7至今重庆大学科学技术发展研究院院长、前沿学科交叉研究院院长

3、获奖情况

1）曹华军（5/10），复杂修形齿轮精密数控加工关键技术与装备，中华人民共和国国务院，国家级科技进步奖，二等奖，2018

2）曹华军（1/15），高速干切滚齿关键技术及其自动化加工生产线装备，重庆市科技进步奖一等奖，2019

3）曹华军（1/15），高速干切滚齿关键技术、工艺装备及自动生产线，中国机械工业联合会、中国机械工程学会，中国机械工业科学技术进步奖，一等奖，2019

4）曹华军（2/7），基于纳米粒子射流的准干式绿色制造关键技术及智能化装置，山东省技术发明奖一等奖，2019

5）曹华军（1/10），机床绿色再设计与再制造关键技术及产业化应用，中国产学研促进会，中国产学研合作创新成果奖，一等奖，2018

4、社会兼职

国家重点研发计划高性能制造技术与重大装备重点专项总体专家组副组长

国家产业基础专家委员会委员

中国机械工程学会环境保护与绿色制造分会副主任委员

全国绿色制造技术标准化技术委员会委员兼副秘书长

《Chinese Journal of Mechanical Engineering》、《中国机械工程》、《计算机集成制造系统》、《制造技术与机床》等杂志编委

中国机电装备维修与改造技术协会装备副理事长兼装备再制造专家委员会主任

国家自然科学基金、国家重点研发计划、国际政府间合作项目、国家科学技术奖励、教育部青年长江学者等网评或会评专家。

5、公开发表论文（代表作）

[1]Weiwei Ge, Hongcheng Li, Huajun Cao*, Chengchao Li, Xuanhao Wen, Chaoyong Zhang, Paul Mativenga. Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell[J]. Journal of Manufacturing Systems, 2023, 70: 1-17.

[2]Weiwei Ge, Huajun Cao*, Hongcheng Li, Chaoyong Zhang, Chengchao Li, Xuanhao Wen. Multi-feature driven carbon emission time series coupling model for laser welding system[J]. Journal of Manufacturing Systems, 2022, 65: 767-784.

[3]Weiwei Ge, Hongcheng Li, Xuanhao Wen, Chengchao Li, Huajun Cao*, Bin Xing. Mathematical modeling of carbon emissions and process parameters optimization for laser welding cell[J]. International Journal of Production Research, 2023, 61(15), 5009-5028.

[4]Xuanhao Wen, Huajun Cao*, Hongcheng Li, Weiwei Ge, Bernard Hon. Operation state-based adaptive control in response to production disturbances of energy-efficient serial production lines[J]. Applied Energy, 2023, 347: 121467.

[5]Xuanhao Wen, Huajun Cao*, Hongcheng Li, Jie Zheng, Weiwei Ge, Erheng Chen, Xi Gao, Bernard Hon. A dual energy benchmarking methodology for energy-efficient production planning and operation of discrete manufacturing systems using data mining techniques[J]. Energy, 2022, 255: 124542.

[6]Xuanhao Wen, Huajun Cao*, Hon Bernard, Erheng Chen, Hongcheng Li. Energy value mapping: A novel lean method to integrate energy efficiency into production management[J]. Energy,2021, 217:119353.

[7]Xiaohui Huang, Qi Huang, Huajun Cao*, Wanbin Yan, Le Cao, Qiongzhi Zhang. Optimal design for improving operation performance of electric construction machinery collaborative system: Method and application [J]. Energy, 2023, 263: 125629.

[8]Xiaohui Huang, Qi Huang, Huajun Cao*,Qianyue Wang, Wanbin Yan, Le Cao. Battery capacity selection for electric construction machinery considering variable operating conditions and multiple interest claims [J]. Energy, 2023, 275: 127454.

[9]Kexu Lai, Huajun Cao*, Benjie Li, Qianyue Wang, Electro-mechanical-thermal energy coupling characteristics analysis and EFMM-based energy modelling for machine tools considering dynamic thermal environment, Journal of Manufacturing Processes, 2023, 103: 393-412.

[10]Kexu Lai, Huajun Cao*, Hongcheng Li, Benjie Li, Disheng Huang. Coupling evaluation for material removal and thermal control on precision milling machine tools.Frontiers of Mechanical Engineering, 2022, 17(1): 12.

[11]Yang Song, Huajun Cao*，Qianyue Wang, Jin Zhang, Chunping Yan. Surface roughness prediction model in high-speed dry milling CFRP considering carbon fiber distribution. Composites Part B: Engineering 2022;110230.

[12]Yang Song, Huajun Cao*, Da Qu，Hao Yi, Xuefeng Huang, Xinzhen Kang, Chunping Yan. Specific cutting energy optimization of CF/PEEK milling considering size effect. International Journal of Mechanical Sciences. 2022;232:107618.

[13]Yang Song, Da Qu, Huajun Cao*. Cutting force modeling of machining carbon fiber reinforced polymer (CFRP) composites: A review. Composite Structures 2022;299:116096.

[14]Cao Huajun*, Song Yang, Wu Bo, Wang Kun, Qu Da*. A Force Model of High-Speed Dry Milling CF/PEEK Considering Fiber Distribution Characteristics[J]. Journal of Manufacturing Processes, 2021, 68:062-615.

[15]Yang Song, Da Qu, Bo Wu, Huajun Cao*, Composite light ropes model-based dynamics force prediction model of high speed dry milling UD-CF/PEEK considering size effect, Journal of Manufacturing Processes, 76 (2022) 210-222.

[16]Song Yang, Cao Huajun*, Da Qu, Hao Yi, Xinzhen Kang, Xuefeng Huang, Jin Zhou, Chunping Yan. Surface integrity optimization of high speed dry milling UD-CF/PEEK based on specific cutting energy distribution mechanisms effected by impact and size effect. Journal of Manufacturing Processes, 2022; 79:731-44.

[17]Yang Song, Huajun Cao*, Da Qu, Qianyue Wang, Xuefeng Huang, Jin Zhang, Bo Wu, Lei Liu,Impact effect-based dynamics force prediction model of high-speed dry milling UD-CFRP considering size effect, International Journal of Impact Engineering, 2023, 179:104659.

[18]Huajun Cao*, Lei Liu, Bo Wu, Yuan Gao, Da Qu*. Process optimization of high-speed dry milling UD-CF/PEEK laminates using GA-BP neural network [J]. Composites Part B Engineering, 2021, 221(4):109034.

[19]Lei Liu, Da Qu，Huajun Cao*, Xuefeng Huang,Yang Song, Xinzhen Kang. Process optimization of high machining efficiency and low surface defects for HSD milling UD-CF/PEEK with limited thermal effect [J]. Journal of Manufacturing Processes, 2022, 76: 532–547.

[20]Lei Liu, Da Qu, Jiacheng Wang, Jin Zhang, Huajun Cao*, Xin Dong. Thermal-field analytical modeling of machined surface layer in high-speed-dry milling UD-CF/PEEK considering thermal anisotropy and nonlinear thermal conductivity. Composites Part A, 2024, 176: 107864.

[21]Jin Zhang, Xuefeng Huang, Xinzhen Kang, Hao Yi, Qianyue Wang, Huajun Cao*. Energy field-assisted high-speed dry milling green machining technology for difficult-to-machine metal materials. Frontiers of Mechanical Engineering, 2023; 18(2):28.

[22]Jin Zhang, Xinzhen Kang, Zhengmao Ye, Lei Liu, Guibao Tao, Huajun Cao*. Development and testing of a wireless smart toolholder with multi-sensor fusion. Frontiers of Mechanical Engineering, 2023; 18(4):55.

[23]Jin Zhang, Li Ling, Qianyue Wang, Xuefeng Huang, Xinzhen Kang, Guibao Tao, Huajun Cao*. Surface quality investigation in high-speed dry milling of Ti-6Al-4V by using 2D ultrasonic-vibration-assisted milling platform. Advances in Manufacturing.

[24]文旋豪,曹华军*,李洪丞,葛威威,黄子轩.离散制造单元生产扰动识别模型及其自适应节能控制方法[J].机械工程学报, 2022, 59(7): 252-264.