Influence of Laser Cladding Process Parameters on Morphology of Cladding Layer and Its Optimization

doi:10.12068/j.issn.1005-3026.2019.04.016

Abstract

Abstract: The IPG-500 laser was used to implement laser cladding on 45^# steel. The influence of process parameters on the morphology of the cladding layer was studied， and the key factors affecting the morphology of the cladding layer were obtained by range analysis. On this basis， the gray correlation degree was used to analyze the correlation between the quality of the cladding layer and the ideal cladding layer quality under different parameter combinations， and the optimal combination of laser cladding process parameters can be found. The results show that the laser power and scanning speed are the main factors affecting the morphology of the cladding layer， and the optimized cladding layer is obtained under the conditions of laser power of 400W， scanning speed of 7mm/s and powder feeding rate of 0.7r/min， which provides theoretical support for the selection of laser cladding process parameters.

Key words: remanufacturing, laser cladding, range analysis, parameter optimization, grey relational degree

CLC Number:

TH17

YU Tian-biao， SONG Bo-xue， XI Wen-chao， MA Zhe-lun. Influence of Laser Cladding Process Parameters on Morphology of Cladding Layer and Its Optimization[J]. Journal of Northeastern University Natural Science, 2019, 40(4): 537-542.

References

[1]McMath I.Remanufacturing:sustaining industry in the 21st century［J］.Engineering Technology，2005，8(2):18-20.
[2]徐滨士，李恩重，郑汉东，等.我国再制造产业及其发展战略［J］.中国工程科学，2017，19(3):61-65.(Xu Bin-shi，Li En-chong，Zheng Han-dong，et al.The remanufacturing industry and its development strategy in China ［J］.Engineering Sciences，2017，19(3):61-65.)
[3]Yao J K，Zhu S，Cui P Z.Study on flexible remanufacturing system and framework［C］//Intelligent Computation Technology and Automation(ICICTA).Changsha:IEEE Computer Society，2010:516-519.
[4]朱胜，周超极.面向 “中国制造 2025” 的增材再制造技术［J］.热喷涂技术，2016(3):1-4.(Zhu Sheng，Zhou Chao-ji.Additive remanufacturing for “made in China 2025”［J］.Thermal Spray Technology，2016(3):1-4.)
[5]Wu G P，Hu Y Z，Zhu W N，et al.Research status and development trend of laser additive manufacturing technology［C］//4th International Conference on Information Science and Control Engineering(ICISCE).Changsha:Institute of Electrical and Electronics Engineers Inc.，2017:1210-1213.
[6]Qin H，Cai Z H，Zhang P，et al.Development status of laser cladding technologies［C］// 4th International Conference on Civil Engineering，Architecture and Building Materials.Haikou，2014:1500-1503.
[7]朱刚贤，张安峰，李涤尘.激光熔覆工艺参数对熔覆层表面平整度的影响［J］.中国激光，2010(1):296-301.(Zhu Gang-xian，Zhang An-feng，Li Di-chen.Effect of process parameters on surface smoothness in laser cladding［J］.Chinese Journal of Lasers，2010(1):296-301.)
[8]张庆茂，刘文今，钟敏霖，等.送粉式激光熔覆层质量与工艺参数之间的关系［J］.焊接学报，2001，22(4):51-54.(Zhang Qing-mao，Liu Wen-jin，Zhong Min-sen，et al.The relationship between the processing parameters and the qualities of the coatings formed by powder feeding laser cladding ［J］.Transactions of the China Welding Institution，2001，22(4):51-54.)
[9]Wang X J，Su S C.Modeling and parameter calculation for laser cladding silicon films ［J］.Optics and Precision Engineering，2011，19(2):60-63.
[10]Fan D，Li X，Zhang J.Influence of processing parameters of laser clad Mo₂C-Co-based alloy on its microstructure［J］.Journal of Lanzhou University of Technology，2012，38(2):1-5.
[11]Ansari M，Shoja R R，Barekat M.An empirical-statistical model for coaxial laser cladding of NiCrAlY powder on Inconel 738 superalloy ［J］.Optics and Laser Technology，2016(86):136-144.
[12]Shi Y，Li Y F，Liu J，et al.Investigation on the parameter optimization and performance of laser cladding a gradient composite coating by a mixed powder of Co50 and Ni/WC on 20CrMnTi low carbon alloy steel ［J］.Optics and Laser Technology，2018(99):256-270.
[13]Goodarzi D M，Pekkarinen J，Salminen A.Analysis of laser cladding process parameter influence on the clad bead geometry［J］.Welding in the World，2017，61(5):883-891.(上接第536页)(Mo Xu-hui，Zhao Yu-hang，Zhong Zhi-hua.Robustness optimization of ride comfort for vehicle based on 6σ method ［J］.Journal of Central South University，2012，43(11):4286-4292.)
[8]Breytenbach B，Els P S.Optimal vehicle suspension characteristics for increased structural fatigue life［J］.Journal of Terramechanics，2011，48(6):397-408.
[9]Khan M M，Awan A U，Liaquat M.Improving vehicle handling and stability under uncertainties using probabilistic approach［J］.IFAC-Papers Online，2015，48(25):242-247.
[10]Ijagbemi C O，Oladapo B I，Campbell H M.Design and simulation of fatigue analysis for a vehicle suspension system and its effect on global warming［J］.Procedia Engineering，2016，159(3):124-132.

[1]	CAO Wen-xin， ZHAO Wen， LU Bo， JIA Peng-jiao. Optimization of Connection Parameters of Steel Tube Slab Structures Based on Fuzzy Mathematics [J]. Journal of Northeastern University(Natural Science), 2022, 43(2): 258-266.
[2]	ZHANG Xiao-hu， ZHANG Sheng， ZHAO Liang， DONG Hui. Numerical Analysis of Gas-Solid Heat Transfer Characteristics in Shaft Furnace for Calcination of Sintered Magnesia [J]. Journal of Northeastern University(Natural Science), 2022, 43(1): 40-47.
[3]	LI Fan-jie ， LI Xiao-peng ， WO Xu， WEN Bang-chun. Analysis and Optimization of Damping Performance of Suspension System of Hybrid Connected Vehicle [J]. Journal of Northeastern University(Natural Science), 2021, 42(8): 1098-1104.
[4]	JIA Peng-jiao， SHI Pei-xin， GUAN Yong-ping， ZHAO Wen. Calculation Model of Flexural Stiffness of STS Structure and Parameters Optimization [J]. Journal of Northeastern University(Natural Science), 2021, 42(8): 1159-1165.
[5]	ZHANG Lu-kai， FENG Xue-song. Error Control of Delay Prediction in Railway Sections Under State Space [J]. Journal of Northeastern University(Natural Science), 2021, 42(4): 494-501.
[6]	XI Wen-chao， SONG Bo-xue， LIANG Ying-dong， YU Tian-biao. Research on Thermodynamics and Wear Resistance of In-situ NbC Reinforced YCF102 Cladding Layer [J]. Journal of Northeastern University(Natural Science), 2021, 42(4): 538-543.
[7]	LI Xiao-peng ， LI Fan-jie， YANG Ling-xue， LIU Xiao-long. Optimization Design and Dynamics Analysis of Vehicle Suspension System [J]. Journal of Northeastern University Natural Science, 2020, 41(8): 1097-1102.
[8]	XIN Bo， CHENG Guang， YAO Jun， GONG Ya-dong. Powder Mixing Mechanism of Laser Cladding Forming for Adaptive FGM [J]. Journal of Northeastern University Natural Science, 2020, 41(8): 1123-1128.
[9]	LI Ming， YU Tian-biao， ZHANG Rong-chuang， WANG Wan-shan. Study on the Milling Surface Quality of GH4169 Alloy Based on Graphene-Enhanced MQL Method [J]. Journal of Northeastern University Natural Science, 2020, 41(3): 387-392.
[10]	HAO Guo-cheng， GUO Juan， TAN Song-yuan， ZENG Zuo-xun5. Intensity Trend Forecasting of the ENPEMF Signal Before Earthquake Based on Chaotic Parameters Optimized RBF Algorithm [J]. Journal of Northeastern University Natural Science, 2020, 41(12): 1692-1698.
[11]	SONG Bo-xue， YU Tian-biao， JIANG Xing-yu， XI Wen-chao. Analysis of Molten Pool Temperatures and Convection Caused by Laser Cladding [J]. Journal of Northeastern University Natural Science, 2020, 41(10): 1427-1431.
[12]	XU Ni-jun， LIU Chang-sheng， FENG Xin-yu， SUN Ting. Effects of Laser Cladding Parameters on Microstructure and Properties of Gradient Cladded Coating on 45^# Steel [J]. Journal of Northeastern University Natural Science, 2019, 40(4): 495-499.
[13]	CAO De-fang， LIU Bai-chi. SVM Model for Financial Fraud Detection [J]. Journal of Northeastern University Natural Science, 2019, 40(2): 295-300.
[14]	YAO Hong-liang， ZHANG Qin， YANG Pei-ran， WEN Bang-chun. Optimization Method of Nonlinear Energy Sinks with Piecewise Linear Stiffness [J]. Journal of Northeastern University Natural Science, 2019, 40(12): 1732-1738.
[15]	ZHANG Fei， YANG Tian-hong， HU Gao-jian. Stability Evaluation of Surrounding Rock and Parameter Optimization of Stope Under Complex Stress Disturbance [J]. Journal of Northeastern University Natural Science, 2018, 39(5): 699-704.