[1] Lu B H, Li D C, Tian X Y. Development trends in additive manufacturing and 3D printing[J]. Engineering, 1, 85-89(2015).

[2] Yan M X, Tian X Y, Peng G et al. Performance study of lightweight composites equipment section support fabricated by selective laser sintering[J]. Journal of Mechanical Engineering, 55, 144-150(2019).

[3] Wang X D, Liao J N, Yao Y et al. Nanojoining and electrical properties of silver nanomaterials[J]. Chinese Journal of Lasers, 48, 0802016(2021).

[4] An X L, Wang Y L, Jiang F L et al. Influence of lap ratio on temperature field and residual stress distribution of 42CrMo laser cladding[J]. Chinese Journal of Lasers, 48, 1002110(2021).

[5] Khan K, Mohr G, Hilgenberg K et al. Probing a novel heat source model and adaptive remeshing technique to simulate laser powder bed fusion with experimental validation[J]. Computational Materials Science, 181, 109752(2020).

[6] Bayat M, Klingaa C G, Mohanty S et al. Part-scale thermo-mechanical modelling of distortions in laser powder bed fusion-analysis of the sequential flash heating method with experimental validation[J]. Additive Manufacturing, 36, 101508(2020).

[7] Li M Y, Han Y C, Zhou M Y et al. Experimental investigating and numerical simulations of the thermal behavior and process optimization for selective laser sintering of PA6[J]. Journal of Manufacturing Processes, 56, 271-279(2020).

[8] Li Z H, Yang S, Liu B et al. Simulation of temperature field and stress field of selective laser melting of multi-layer metal powder[J]. Optics & Laser Technology, 140, 106782(2021).

[9] Zhu J W. Simulation research on predictive control of sintering point temperature in selective laser sintering[D](2021).

[10] Ozkaya B, Demir A, Bilgili M S. Neural network prediction model for the methane fraction in biogas from field-scale landfill bioreactors[J]. Environmental Modelling & Software, 22, 815-822(2007).

[11] Li Q, Li T, Wu Z P et al. Prediction of laser cladding layer area and porosity based on neural network[J]. Applied Laser, 40, 29-34(2020).

[12] Zhao L, Han Z D, Zhang F. Research on stereo location in visible light room based on neural network[J]. Chinese Journal of Lasers, 48, 0706004(2021).

[13] Qu Z Y, Zheng X Z. Recognition for online games stream of optimized BP neural network based on genetic algorithm[J]. Computer & Digital Engineering, 49, 781-786(2021).

[14] Zhang Y H. Research for car-following model based on genetic algorithm optimized BP neural network[D](2015).

[15] Pang Y F, Fu G Y, Wang M Y et al. Parameter optimization of high deposition rate laser cladding based on the response surface method and genetic neural network model[J]. Chinese Journal of Lasers, 48, 0602112(2021).

[16] Carslaw H S, Jaeger J C[M]. Conduction of heat in solids(1986).

[17] Liu B, Li B Q, Li Z H et al. Numerical investigation on heat transfer of multi-laser processing during selective laser melting of AlSi10Mg[J]. Results in Physics, 12, 454-459(2019).

[18] Goldak J, Chakravarti A, Bibby M. A new finite element model for welding heat sources[J]. Metallurgical Transactions B, 15, 299-305(1984).

[19] Liu J, Zhang L X, Shen Y et al. Prediction of fouling resistance of heat exchanger tube in closed cooling tower based on BP neural network[J]. Journal of Engineering for Thermal Energy and Power, 35, 66-71(2020).

[20] Ding S F, Zhang Y N, Chen J R et al. Research on using genetic algorithms to optimize Elman neural networks[J]. Neural Computing and Applications, 23, 293-297(2013).