基于响应曲面模型和Matlab遗传算法的压铸铝硅合金时效工艺优化及分析Optimization and analysis of aging process for die-casting aluminum silicon alloy based on response surface model and Matlab genetic algorithm
陶诚,程晓农,许福海,李志强,刘光磊,谢树宽,匡中华,郭勇,吕鹏
摘要(Abstract):
时效工艺对压铸铝硅合金最终热处理强化效果起到至关重要的作用。利用响应曲面法研究了时效温度与时效时间的交互作用对压铸铝硅合金显微硬度、抗拉强度和伸长率的影响,并运用Matlab遗传算法对合金的力学性能进行多目标优化和时效工艺参数的设计。结果表明:响应曲面法结合Matlab多目标遗传算法的设计优化方法可以建立一个准确的模型,其预测值与实际值的误差小于5%。依靠模型可以快速获得不同目标需求对应的最优工艺参数方案,且经优化的时效工艺处理后合金的组织均匀,抗拉强度、硬度都有显著提升,伸长率略微下降。
关键词(KeyWords): 铝硅合金;时效强化;响应面法;Matlab遗传算法
基金项目(Foundation): 国家自然科学基金青年项目(51801076);; 江苏省高等学校自然科学研究面上项目(18KJB430009);; 江苏省博士后科研资助计划项目(1601055C);; 江苏大学高级人才科研启动(14JDG126)
作者(Author): 陶诚,程晓农,许福海,李志强,刘光磊,谢树宽,匡中华,郭勇,吕鹏
DOI: 10.13289/j.issn.1009-6264.2022-0582
参考文献(References):
- [1] Lin J,Liu X,Li S,et al.A review on recent progress,challenges and perspective of battery thermal management system[J].International Journal of Heat and Mass Transfer,2021,167:120834.
- [2] Li Z,Khajepour A,Song J.A comprehensive review of the key technologies for pure electric vehicles[J].Energy,2019,182:824-839.
- [3] Burd J T J,Moore E A,Ezzat H,et al.Improvements in electric vehicle battery technology influence vehicle lightweighting and material substitution decisions[J].Applied Energy,2021,283:116269.
- [4] Niu G,Wang Y,Zhu L,et al.Fluidity of casting Al-Si series alloys for automotive light-weighting:a systematic review[J].Materials Science and Technology,2022,38(13):902-911.
- [5] Czerwinski F.Current trends in automotive lightweighting strategies and materials[J].Materials,2021,14(21):6631.
- [6] Taub A,De Moor E,Luo A,et al.Materials for automotive lightweighting[J].Annual Review of Materials Research,2019,49:327-359.
- [7] 樊振中,袁文全,王端志,等.压铸铝合金研究现状与未来发展趋势[J].铸造,2020,69(2):159-166.FAN Zhen-zhong,YUAN Wen-quan,WANG Duan-zhi,et al.Development trend of die casting aluminum alloys[J].Foundry,2020,69(2):159-166.
- [8] Zhang B,Zhang L,Wang Z,et al.Achievement of high strength and ductility in Al-Si-Cu-Mg alloys by intermediate phase optimization in as-cast and heat treatment conditions[J].Materials,2020,13(3):647.
- [9] Zhang L K,Zhang B R.Influence of multiphase microstructure evolution and Fe-rich phases on Cu uphill diffusion in Al-Si-Cu-Mg alloys[J].Materials Research Express,2019,6(11):116509.
- [10] Zheng Q,Zhang L,Jiang H,et al.Effect mechanisms of micro-alloying element La on microstructure and mechanical properties of hypoeutectic Al-Si alloys[J].Journal of Materials Science & Technology,2020,47:142-151.
- [11] Rao Y,Yan H,Hu Z,et al.Tensile property and corrosion behavior of die-casting AlSi10Cu3+0.6wt%(La + Yb) alloy with T6 heat treatment[J].International Journal of Metalcasting,2022,16(4):2210-2220.
- [12] Choi S W,Kim Y M,Lee K M,et al.The effects of cooling rate and heat treatment on mechanical and thermal characteristics of Al-Si-Cu-Mg foundry alloys[J].Journal of Alloys and Compounds,2014,617:654-659.
- [13] 刘宁,马力,刘爱军,等.热处理对含钪6061铝合金组织和力学性能的影响[J].材料热处理学报,2020,41(8):7-18.LIU Ning,MA Li,LIU Ai-jun,et al.Effect of heat treatment on microstructure and mechanical properties of 6061 aluminum alloy containing Sc[J].Transactions of Materials and Heat Treatment,2020,41(8):7-18.
- [14] Li Z,Wang K,Dong H,et al.Effect of aging treatment on microstructure and mechanical properties of 5A06 aluminum alloy castings[J].Transactions of Materials and Heat Treatment,2021,42(3):53-59.
- [15] Zhang G,Jiang F,Zhou W,et al.Microstructure and properties of Al-Mg-Si aluminum alloy with different treatments[J].Heat Treatment of Metals,2020,45(2):51-55.
- [16] 赵耀,程汉明,艾宇浩,等.低温时效对压铸AlSi7CuMnMg合金组织与性能的影响[J].特种铸造及有色合金,2022,42(5):588-593.ZHAO Yao,CHENG Han-ming,AI Yu-hao,et al.Effects of low-temperature aging treatment on the microstructure and properties of AlSi7CuMnMg die-casting alloy[J].Special Casting & Nonferrous Alloys,2022,42(5):588-593.
- [17] Ammar H R,Samuel A M,Doty H W,et al.Premium strength and optimum quality in Al-Si-Mg/Al-Si-Mg-Cu cast alloys using two different types of molds[J].International Journal of Metalcasting,2022,16(3):1347-1362.
- [18] Di Giovanni M T,De Menezes J T O,Cerri E,et al.Influence of microstructure and porosity on the fracture toughness of Al-Si-Mg alloy[J].Journal of Materials Research and Technology,2020,9(2):1286-1295.
- [19] Cecchel S,Panvini A,Cornacchia G.Low solution temperature heat treatment of AlSi9Cu3(Fe) high-pressure die-casting actual automotive components[J].Journal of Materials Engineering and Performance,2018,27(8):3791-3802.
- [20] Faccoli M,Dioni D,Cecchel S,et al.Optimization of heat treatment of gravity cast Sr-modified B356 aluminum alloy[J].Transactions of Nonferrous Metals Society of China,2017,27(8):1698-1706.
- [21] 任芝兰,唐明华,毕红霞,等.低合金超高强45CrNiSiMnMoVA钢热处理工艺的正交试验优化[J].材料热处理学报,2022,43(6):94-100.REN Zhi-lan,TANG Ming-hua,BI Hong-xia,et al.Optimization of heat treatment process of low alloy ultra high strength 45CrNiSiMnMoVA steel by orthogonal test[J].Transactions of Materials and Heat Treatment,2022,43(6):94-100.
- [22] Ding F J,Jia X D,Hong T J,et al.Flow stress prediction model of 6061 aluminum alloy sheet based on GA-BP and PSO-BP neural networks[J].Rare Metal Materials and Engineering,2020,49(6):1840-1853.
- [23] Guo C,He S,Yue H,et al.Prediction modelling and process optimization for forming multi-layer cladding structures with laser directed energy deposition[J].Optics & Laser Technology,2021,134:106607.
- [24] Singh M,Dhiman S,Singh H,et al.Optimization of modulation-assisted drilling of Ti-6Al-4V aerospace alloy via response surface method[J].Materials and Manufacturing Processes,2020,35(12):1313-1329.
- [25] Meng G,Zhu L,Zhang J,et al.Statistical analysis and multi-objective process optimization of laser cladding TiC-Inconel718 composite coating[J].Optik,2021,240:166828.
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