个人资料
个人简介阎志强(1995~),男,工学博士,讲师,硕士生导师。长期围绕金属增材制造(激光选区熔化工艺),进行跨尺度数值模拟、热力演变分析、表面质量控制、能量消耗预测、协同优化、风场流动等相关领域的科研工作,先后于2018年和2024获得长安大学工学学士和工学博士学位,现就职于长安大学工程机械学院,隶属于长安大学智能制造系统研究团队。目前以第一或通讯作者发表学术论文20余篇(含录用),其中SCI检索10余篇,授权发明专利7项。 每年招收硕士研究生4名,欢迎对增材制造、可持续性制造等方面等感兴趣的同学报考。 社会职务研究领域 1. 激光选区熔化热力演变分析及变形调控 2. 激光选区熔化熔池动力学 3. 激光选区熔化成形舱室风场流动仿真分析 4. 数据与机理混合驱动的增材制造能耗预测与优化研究 开授课程【本科生专业课程】 1. 《增材制造技术》 2. 《智能制造导论》 3. 《3D打印数字化技术与实践》 科研项目1-****成形舱室风场流动仿真及测试研究,2025.12-2026.12,在研,主持; 2-****增材制造过程中热/力动态变化仿真计算研究,2025.12-2026.12,在研,主持; 3-长安大学,中央高校基础研究培育项目,300102255101/多光束激光选区熔化大尺寸构件残余应力演变机制与协同调控方法研究, 2025.07-2027.07, 5万,在研,主持; 4-中国博士后基金会,国资计划(C),GZC20250943,多光束SLM成形高温合金构件残余应力演化与智能调控,2025.07-2027.07,24万,在研,主持; 论文部分第一或通讯作者发表的学术论文: [1].Yan Z, Chu Z, Xu Z, et al. The influence of size-dependence effect on residual stress of annular component in selective laser melting via numerical modelling and experiments, [J] Journal of Materials Research and Technology, 2025, 38, 242-261. [2].Yan Z, Chu Z, Hui J, et al Prediction, assessment and optimization of energy consumption in selective laser melting using hybrid mechanism-based and data-driven approaches [J], Measurement. 2026, 257, Part D, 118895. [3].Wang J, Wang H, Xu Z, Yan Z, et al. An investigation into temperature evolution and surface quality of AlSi10Mg components fabricated via selective laser melting technology, [J]. Journal of Materials Research and Technology,2026,41,5818-5838. [4].Yan Z, Hui J, Lv J, et al. A hybrid mechanism-based and data-driven approach to forecast energy consumption of fused deposition modelling [J]. Journal of Cleaner Production, 2023, 413. [5].Yan Z, Wang J, Luo W, et al. A method for geometric features equivalence to assess the thermal behavior in the selective laser melting process [J]. Journal of Materials Research and Technology, 2023, 25: 2498-517. [6].Yan Z, Wu K, Xiao Z, et al. The Effect of Scanning Strategy on the Thermal Behavior and Residual Stress Distribution of Damping Alloys during Selective Laser Melting [J]. Materials, 2024, 17(12). [7].Yan Z, Huang J, Lv J, et al. A New Method of Predicting the Energy Consumption of Additive Manufacturing considering the Component Working State [J]. Sustainability (Switzerland), 2022, 14(7). [8].Yan Z, Guo X, Hui J, et al. Optimization of energy consumption and dimensional accuracy for fused deposition modeling processes through a hybrid method [J]. International Journal of Advanced Manufacturing Technology, 2025, 137(5): 2335-54. [9].Ma S, Huang Y W, Liu Y, Yan Z et al Edge-cloud cooperation driven surface roughness classification method for selective laser melting [J] Advanced Engineering Informatics, 2025,66,103473 [10].Ma S, Lv J, Huang Y, Yan Z et al. Edge-cloud Cooperation Driven Sustainable Smart Optimization Strategy for Additive Manufacturing [J], IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026, 3657115 [11].Hui J, Yan Z, Lv J, et al. An investigation on energy consumption and part quality of stereolithography apparatus manufactured parts [J]. Rapid Prototyping Journal, 2022, 28(1): 52-67. [12].Xu Z, Hui J, Lv J, Yan Z et al. Enhancing morphology and conductivity of silver layers for microstrip antennas via near-infrared sintering in additive manufacturing [J]. Appl Surf Sci, 2025, 689. [13].Liu Y, Yan Z, Lv J, et al. The evolution mechanism of surface morphology of part built by the selective laser melting technology [J]. Materials Today Communications, 2025, 44. [14].Xu Z, Hui J, Lv J, Yan Z et al. An investigation of methods to enhance adhesion of conductive layer and dielectric substrate for additive manufacturing of electronics [J]. Scientific Reports, 2024, 14(1). [15].Ma S, Ding W, Zheng Y, Yan Z et al. Edge-cloud collaboration-driven predictive planning based on LSTM-attention for wastewater treatment [J]. Computers and Industrial Engineering, 2024, 195. [16].Yan Z, Hui J, Xu Z, et al. Effects of processing parameters on the thermal behaviour of AlSi10Mg during pulse-Selective Laser Melting; proceedings of the Proceedings of SPIE - The International Society for Optical Engineering, F, 2022 [C]. [17].惠记庄,骆伟,阎志强,等. AlSi10Mg选区激光熔化表面粗糙度预测、优化及表面形貌分析 [J]. 表面技术, 2024, 53 (15): 129-140+151. [18].阎志强,刘元康,吕景祥,AlSi10Mg合金选区激光熔化成形过程介观尺度数值模拟与实验验证 [J]. 精密成形工程, 2025, [19].阎志强, 褚昭洁,惠记庄等 选区激光熔化成型过程温度演化规律及表面质量分析[J],应用激光 (已录用) [20].褚昭洁,王瀚绪,王俊杰,惠记庄,阎志强, 《基于深度学习的激光选区熔化残余应力预测与调控》[J], 精密成形工程 (已录用) 科技成果荣誉奖励工作经历2024-07至今,长安大学工程机械学院,讲师。 |
