Effects of laser pulse distance and reinforcing of 5456 aluminum alloy were investigated on laser weldability of Al alloy to duplex stainless steel (DSS) plates. The aluminum alloy plate was reinforced by nickel-base ...Effects of laser pulse distance and reinforcing of 5456 aluminum alloy were investigated on laser weldability of Al alloy to duplex stainless steel (DSS) plates. The aluminum alloy plate was reinforced by nickel-base BNi-2 brazing powder via friction stir processing. The DSS plates were laser welded to the Al5456/BNi-2 composite and also to the Al5456 alloy plates. The welding zones were studied by scanning electron microscopy, X-ray diffractometry, micro-hardness and shear tests. The weld interface layer became thinner from 23 to 5 μm, as the laser pulse distance was increased from 0.2 to 0.5 mm. Reinforcing of the Al alloy modified the phases at interface layer from Al-Fe intermetallic compounds (IMCs) in the DSS/Al alloy weld, to Al-Ni-Fe IMCs in the DSS/Al composite one, since more nickel was injected in the weld pool by BNi-2 reinforcements. This led to a remarkable reduction in crack tendency of the welds and decreased the hardness of the interface layer from ~950 HV to ~600 HV. Shear strengths of the DSS/Al composite welds were significantly increased by ~150%, from 46 to 114 MPa, in comparison to the DSS/Al alloy ones.展开更多
In this work, the microstructure and the strain partitioning of lean duplex stainless steel 2101 (LDX 2101) during different hot-rolling processes are investigated by optical microscopy and electron-backscattered diff...In this work, the microstructure and the strain partitioning of lean duplex stainless steel 2101 (LDX 2101) during different hot-rolling processes are investigated by optical microscopy and electron-backscattered diffraction (EBSD). The results show that the LDX 2101 exhibits poor thermoplasticity at high temperature. The four-pass hot-rolled plates show fewer edge-cracking defects and superior thermoplasticity compared with the two-pass hot-rolled plates prepared at different temperature. The phase boundary is the weakest site in the LDX 2101. The cracks are initiated and propagated along the phase boundaries during the hot-rolling process. According to the EBSD analysis, the increase of the hot-rolling pass can dramatically improve the strain distribution in ferrite and austenite phases and promote the strain transmission in the constituent phases, thereby improving the coordinated deformation ability of the two phases. This effect further in- creases the thermoplasticity and reduces the formation of edge cracks in LDX 2101.展开更多
The 2205 duplex stainless + DH36 clad steel plate was welded by gas metal arc welding(GMAW), and the welding performance of the clad steel plate was investigated. The results show that the adaptability of the weldi...The 2205 duplex stainless + DH36 clad steel plate was welded by gas metal arc welding(GMAW), and the welding performance of the clad steel plate was investigated. The results show that the adaptability of the welding procedure for the base metal of carbon steel, the transition layer, and the cladding material is excellent. The test results indicate that the phase proportion and component dilution of the GMAW-welded joints of clad steel plate can be effectively controlled to yield joints with good mechanical properties and corrosion resistance.展开更多
Predicting the mechanical properties of additively manufactured parts is often a tedious process,requiring the integration of multiple stand-alone and expensive simulations.Furthermore,as properties are highly locatio...Predicting the mechanical properties of additively manufactured parts is often a tedious process,requiring the integration of multiple stand-alone and expensive simulations.Furthermore,as properties are highly location-dependent due to repeated heating and cooling cycles,the properties prediction models must be run for multiple locations before the part-level performance can be analyzed for certification,compounding the computational expense.This work has proposed a rapid prediction framework that replaces the physics-based mechanistic models with Gaussian process metamodels,a type of machine learning model for statistical inference with limited data.The metamodels can predict the varying properties within an entire part in a fraction of the time while providing uncertainty quantification.The framework was demonstrated with the prediction of the tensile yield strength of Ferrium?PH48S maraging stainless steel fabricated by additive manufacturing.Impressive agreement was found between the metamodels and the mechanistic models,and the computation was dramatically decreased from hours of physics-based simulations to less than a second with metamodels.This method can be extended to predict various materials properties in different alloy systems whose processstructure-property-performance interrelationships are linked by mechanistic models.It is powerful for rapidly identifying the spatial properties of a part with compositional and processing parameter variations,and can support part certification by providing a fast interface between materials models and part-level thermal and performance simulations.展开更多
Cu-bearing stainless steel is widely used in the fields of food,medical and household sanitary equipment because of its surface finish and corrosion resistance.However,the growth of bacteria on stainless steel leads t...Cu-bearing stainless steel is widely used in the fields of food,medical and household sanitary equipment because of its surface finish and corrosion resistance.However,the growth of bacteria on stainless steel leads to the formation of biofilms,which causes corrosion.Therefore,the antibacterial property of stainless steel is a worthy research topic.Reviews of breakthroughs in the field of corrosion resistance and antimicrobial properties are still lacking.Herein,due to the scarcity of publications on the antibacterial mechanisms and processing methods of antibacterial Cu-bearing stainless steel,we review the current state of relevant research and progress.The toxicity of Cu,corrosion resistance mechanism of stainless steel,and antibacterial mechanism and preparation method of antibacterial stainless steel are reported.In addition,alloying,surface modification and other methods are found to have limitations in balancing the toxicity and antibacterial properties of copper and the relationship between the antibacterial properties and corrosion resistance of Cu-bearing stainless steel.A new preparation method of antibacterial stainless steel associated with selective laser melting(SLM)is proposed.SLM is becoming a powerful additive manufacturing technology that can be used to manufacture customized and complex metals.The research status of SLM applied in antibacterial stainless steel preparation is described.Finally,the future research direction of Cu-bearing antibacterial stainless steel is discussed.展开更多
The hot deformation behavior and processing map of Cu-bearing 2205 duplex stainless steel(2205-Cu DSS)were investigated at temperatures of 950-1150℃ and strain rates of 0.01-10 s^-1.The effects of Cu addition and dif...The hot deformation behavior and processing map of Cu-bearing 2205 duplex stainless steel(2205-Cu DSS)were investigated at temperatures of 950-1150℃ and strain rates of 0.01-10 s^-1.The effects of Cu addition and different deformation parameters on deformation behavior were,respectively,characterized by analyzing flow curves,constitutive equations and microstructures.The results indicated that the shapes of flow curves strongly depended on the volume fraction of two phases.When deformed at low strain rate,DRV in ferrite was prompted with increase in the temperature and was further developed to continuous DRX.At high strain rate,flow localization preferentially occurred in ferrite at low deformation temperature due to the strain partitioning and relatively less fraction of ferrite.The activation energy for 2205-Cu DSS was 452 kJ/mol and was found to connect with the variation of strain,strain rate and deformation temperature.The optimum hot deformation parameters for 2205-Cu DSS were obtained in the temperature range of 1100-1150℃ and strain rate range of 0.1-1 s^-1 with a peak power dissipation efficiency of 41%.Flow localization was the main way to lead to flow instability.Meanwhile,the Cu-rich precipitates were generated within a few ferrite grains when deformed at temperature lower than 1000℃.The interaction between dislocations and Cu-rich precipitates at high strain rate,as well as the limited DRV in ferrite and DRX in austenite,contributed to the complex microstructure and flow behavior.展开更多
To develop a fundamental understanding of the flow behavior and optimal hot workability parameters of this material, the hot workability and deformation mechanisms of the as-cast 21Cr EDSS were studied using processin...To develop a fundamental understanding of the flow behavior and optimal hot workability parameters of this material, the hot workability and deformation mechanisms of the as-cast 21Cr EDSS were studied using processing map technology combined with microstructure analysis and isothermal hot compression over the temperature range of 1000-1150 ℃ and strain rate range of 0.01-10 s-1. The processing maps and constitutive equation of peak stress were developed based on Prasad's and Murty's criteria. The results show that the processing maps exhibit a stable domain at 1000-1150 ℃ and 0.01-1 s-1. The instability domain is exhibited at high strain rates (≥1 s-l). This implies that Murty's criterion can predict the unstable domain with high reliability. The detailed deformation mechanisms are also studied by microstructure observation, showing that the flow localization and microcracking are responsible for the flow instability.展开更多
Achieving excellent strength-ductility synergy is a long-lasting research theme for structural materials.However,attempts to enhance strength usually induce a loss of ductility,i.e.,the strength-ductility trade-off.In...Achieving excellent strength-ductility synergy is a long-lasting research theme for structural materials.However,attempts to enhance strength usually induce a loss of ductility,i.e.,the strength-ductility trade-off.In the present study,the strength-ductility trade-off in duplex stainless steel(DSS)was overcome by developing a bimodal structure using friction stir processing(FSP).The ultimate tensile strength and elongation were improved by 140%and 109%,respectively,compared with those of the asreceived materials.Plastic deformation and concurrent dynamic recrystallization(DRX)during FSP were responsible for the formation of bimodal structure.Incompatible deformation resulted in the accumulation of dislocations at the phase boundaries,which triggered interpenetrating nucleation between the austenite and ferrite phases during DRX,leading to a bimodal structure.The in situ mechanical responses of the bimodal structure during tensile deformation were investigated by crystal plasticity finite element modeling(CPFEM).The stress field distribution obtained from CPFEM revealed that the simultaneous enhancement of strength and ductility in a bimodal structure could be attributed to the formation of a unique dispersion-strengthened system with the austenite and ferrite phases.It is indicated that the present design of alternating fine austenite and coarse ferrite layers is a promising strategy for optimizing the mechanical properties of DSSs.展开更多
Duplex stainless steel was formed through welding wire and arc additive manufacturing(WAAM)using tungsten inert gas.The effects of wire feeding speed(WFS),welding speed(WS),welding current,and their interaction on the...Duplex stainless steel was formed through welding wire and arc additive manufacturing(WAAM)using tungsten inert gas.The effects of wire feeding speed(WFS),welding speed(WS),welding current,and their interaction on the weld bead width and height were discussed.Back-propagation(BP)neural network algorithm prediction model was established by taking the bead width and height as the output layer,and the network weight and threshold values were optimized using the particle swarm optimization(PSO)algorithm to obtain the prediction model of bead width and height.The predicted results were verified by experiments.Results show that the weld bead width increases with the increase in WFS and the welding current and decreases with WS.The smaller the WFS,the faster the WS,which is beneficial for the generation of equiaxed crystals.The smaller the welding current,the faster the cooling speed of the metal melt,which is conducive to the formation of dendrites.The interaction among WS,wire feed speed,and welding current has a significant effect on the bead width.The weld bead height is positively correlated with the wire feed speed and negatively correlated with the WS and current.The interaction between the wire feed speed and WS is significant.The optimized WAAM process parameters for duplex stainless steel are a wire feed speed of 200 cm/min,WS of 24 cm/min,and welding current of 160 A.The maximum error of the BP neural network in predicting the weld bead width and height is 7.74%,and the maximum error between the predicted and experimental values of the BP-PSO neural network is 4.27%.This finding indicates that the convergence speed is fast,improving the prediction accuracy.展开更多
文摘Effects of laser pulse distance and reinforcing of 5456 aluminum alloy were investigated on laser weldability of Al alloy to duplex stainless steel (DSS) plates. The aluminum alloy plate was reinforced by nickel-base BNi-2 brazing powder via friction stir processing. The DSS plates were laser welded to the Al5456/BNi-2 composite and also to the Al5456 alloy plates. The welding zones were studied by scanning electron microscopy, X-ray diffractometry, micro-hardness and shear tests. The weld interface layer became thinner from 23 to 5 μm, as the laser pulse distance was increased from 0.2 to 0.5 mm. Reinforcing of the Al alloy modified the phases at interface layer from Al-Fe intermetallic compounds (IMCs) in the DSS/Al alloy weld, to Al-Ni-Fe IMCs in the DSS/Al composite one, since more nickel was injected in the weld pool by BNi-2 reinforcements. This led to a remarkable reduction in crack tendency of the welds and decreased the hardness of the interface layer from ~950 HV to ~600 HV. Shear strengths of the DSS/Al composite welds were significantly increased by ~150%, from 46 to 114 MPa, in comparison to the DSS/Al alloy ones.
基金financially supported by the National Natural Science Foundation of China (Nos. U1806220 and U1660114)
文摘In this work, the microstructure and the strain partitioning of lean duplex stainless steel 2101 (LDX 2101) during different hot-rolling processes are investigated by optical microscopy and electron-backscattered diffraction (EBSD). The results show that the LDX 2101 exhibits poor thermoplasticity at high temperature. The four-pass hot-rolled plates show fewer edge-cracking defects and superior thermoplasticity compared with the two-pass hot-rolled plates prepared at different temperature. The phase boundary is the weakest site in the LDX 2101. The cracks are initiated and propagated along the phase boundaries during the hot-rolling process. According to the EBSD analysis, the increase of the hot-rolling pass can dramatically improve the strain distribution in ferrite and austenite phases and promote the strain transmission in the constituent phases, thereby improving the coordinated deformation ability of the two phases. This effect further in- creases the thermoplasticity and reduces the formation of edge cracks in LDX 2101.
文摘The 2205 duplex stainless + DH36 clad steel plate was welded by gas metal arc welding(GMAW), and the welding performance of the clad steel plate was investigated. The results show that the adaptability of the welding procedure for the base metal of carbon steel, the transition layer, and the cladding material is excellent. The test results indicate that the phase proportion and component dilution of the GMAW-welded joints of clad steel plate can be effectively controlled to yield joints with good mechanical properties and corrosion resistance.
基金This work was supported by the Digital Manufacturing and Design Innovation Institute(DMDII)through award number 15-07-07.This material is also based upon the work of Ms.Yu-Chin Chan supported by the National Science Foundation Graduate Research Fellowship Program under Grant No.DGE-1842165.Any opinions,findings,and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
文摘Predicting the mechanical properties of additively manufactured parts is often a tedious process,requiring the integration of multiple stand-alone and expensive simulations.Furthermore,as properties are highly location-dependent due to repeated heating and cooling cycles,the properties prediction models must be run for multiple locations before the part-level performance can be analyzed for certification,compounding the computational expense.This work has proposed a rapid prediction framework that replaces the physics-based mechanistic models with Gaussian process metamodels,a type of machine learning model for statistical inference with limited data.The metamodels can predict the varying properties within an entire part in a fraction of the time while providing uncertainty quantification.The framework was demonstrated with the prediction of the tensile yield strength of Ferrium?PH48S maraging stainless steel fabricated by additive manufacturing.Impressive agreement was found between the metamodels and the mechanistic models,and the computation was dramatically decreased from hours of physics-based simulations to less than a second with metamodels.This method can be extended to predict various materials properties in different alloy systems whose processstructure-property-performance interrelationships are linked by mechanistic models.It is powerful for rapidly identifying the spatial properties of a part with compositional and processing parameter variations,and can support part certification by providing a fast interface between materials models and part-level thermal and performance simulations.
基金This research was funded by The Research Foundation for Youth Scholars of Beijing Technology and Business University(Grant.No.19008022158).
文摘Cu-bearing stainless steel is widely used in the fields of food,medical and household sanitary equipment because of its surface finish and corrosion resistance.However,the growth of bacteria on stainless steel leads to the formation of biofilms,which causes corrosion.Therefore,the antibacterial property of stainless steel is a worthy research topic.Reviews of breakthroughs in the field of corrosion resistance and antimicrobial properties are still lacking.Herein,due to the scarcity of publications on the antibacterial mechanisms and processing methods of antibacterial Cu-bearing stainless steel,we review the current state of relevant research and progress.The toxicity of Cu,corrosion resistance mechanism of stainless steel,and antibacterial mechanism and preparation method of antibacterial stainless steel are reported.In addition,alloying,surface modification and other methods are found to have limitations in balancing the toxicity and antibacterial properties of copper and the relationship between the antibacterial properties and corrosion resistance of Cu-bearing stainless steel.A new preparation method of antibacterial stainless steel associated with selective laser melting(SLM)is proposed.SLM is becoming a powerful additive manufacturing technology that can be used to manufacture customized and complex metals.The research status of SLM applied in antibacterial stainless steel preparation is described.Finally,the future research direction of Cu-bearing antibacterial stainless steel is discussed.
基金financially supported by the National Key Research and Development Program of China (Grant No.2016YFB0300205)the National Natural Science Foundation of China (Grant Nos.51501188 and 51771199)+2 种基金the State KeyProgram of National Natural Science of China (Grant No.51631009)Shenzhen-Hong Kong Technology Cooperation Funding Scheme (SGLH20150213143207910)Shenzhen Science and Technology Research Funding (JCYJ20160608153641020)
文摘The hot deformation behavior and processing map of Cu-bearing 2205 duplex stainless steel(2205-Cu DSS)were investigated at temperatures of 950-1150℃ and strain rates of 0.01-10 s^-1.The effects of Cu addition and different deformation parameters on deformation behavior were,respectively,characterized by analyzing flow curves,constitutive equations and microstructures.The results indicated that the shapes of flow curves strongly depended on the volume fraction of two phases.When deformed at low strain rate,DRV in ferrite was prompted with increase in the temperature and was further developed to continuous DRX.At high strain rate,flow localization preferentially occurred in ferrite at low deformation temperature due to the strain partitioning and relatively less fraction of ferrite.The activation energy for 2205-Cu DSS was 452 kJ/mol and was found to connect with the variation of strain,strain rate and deformation temperature.The optimum hot deformation parameters for 2205-Cu DSS were obtained in the temperature range of 1100-1150℃ and strain rate range of 0.1-1 s^-1 with a peak power dissipation efficiency of 41%.Flow localization was the main way to lead to flow instability.Meanwhile,the Cu-rich precipitates were generated within a few ferrite grains when deformed at temperature lower than 1000℃.The interaction between dislocations and Cu-rich precipitates at high strain rate,as well as the limited DRV in ferrite and DRX in austenite,contributed to the complex microstructure and flow behavior.
基金the financial support received from the National Natural Science Foundation of China(Grant No.51505479)the Jiangsu Natural Science Foundation of China(Grant No.BK20150184)the Fundamental Research Funds for the Central Universities(Grant No.2014QNA36)
文摘To develop a fundamental understanding of the flow behavior and optimal hot workability parameters of this material, the hot workability and deformation mechanisms of the as-cast 21Cr EDSS were studied using processing map technology combined with microstructure analysis and isothermal hot compression over the temperature range of 1000-1150 ℃ and strain rate range of 0.01-10 s-1. The processing maps and constitutive equation of peak stress were developed based on Prasad's and Murty's criteria. The results show that the processing maps exhibit a stable domain at 1000-1150 ℃ and 0.01-1 s-1. The instability domain is exhibited at high strain rates (≥1 s-l). This implies that Murty's criterion can predict the unstable domain with high reliability. The detailed deformation mechanisms are also studied by microstructure observation, showing that the flow localization and microcracking are responsible for the flow instability.
基金supported by the China Postdoctoral Science Foundation(Grant No.2020M683046)Guangdong Basic and Applied Basic Research Foundation(Grant No.2021A1515010536)+4 种基金State Key Laboratory of Solidification Processing in Northwestern Polytechnical University(NWPU)(Grant No.SKLSP202118)National Natural Science Foundation of China(Grant Nos.52105422,U2032143,11902370,51905112)Guangdong Major Project of Basic and Applied Basic Research(Grant No.2019B030302011)International Sci&Tech Cooperation Program of Guangdong Province(Grant No.2019A050510022)Key-Area Research and Development Program of Guangdong Province(Grant Nos.2019B010943001,2017B020235001)。
文摘Achieving excellent strength-ductility synergy is a long-lasting research theme for structural materials.However,attempts to enhance strength usually induce a loss of ductility,i.e.,the strength-ductility trade-off.In the present study,the strength-ductility trade-off in duplex stainless steel(DSS)was overcome by developing a bimodal structure using friction stir processing(FSP).The ultimate tensile strength and elongation were improved by 140%and 109%,respectively,compared with those of the asreceived materials.Plastic deformation and concurrent dynamic recrystallization(DRX)during FSP were responsible for the formation of bimodal structure.Incompatible deformation resulted in the accumulation of dislocations at the phase boundaries,which triggered interpenetrating nucleation between the austenite and ferrite phases during DRX,leading to a bimodal structure.The in situ mechanical responses of the bimodal structure during tensile deformation were investigated by crystal plasticity finite element modeling(CPFEM).The stress field distribution obtained from CPFEM revealed that the simultaneous enhancement of strength and ductility in a bimodal structure could be attributed to the formation of a unique dispersion-strengthened system with the austenite and ferrite phases.It is indicated that the present design of alternating fine austenite and coarse ferrite layers is a promising strategy for optimizing the mechanical properties of DSSs.
基金Supported by Fujian Natural Science Foundation of China(Grant No.2020J05115)Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China(Grant No.2021ZZ123)+1 种基金Fuzhou University Testing Fund of precious apparatus(Grant No.2023T019)Quanzhou Science and Technology Plan Project of China(Grant No.2020C043R).
文摘Duplex stainless steel was formed through welding wire and arc additive manufacturing(WAAM)using tungsten inert gas.The effects of wire feeding speed(WFS),welding speed(WS),welding current,and their interaction on the weld bead width and height were discussed.Back-propagation(BP)neural network algorithm prediction model was established by taking the bead width and height as the output layer,and the network weight and threshold values were optimized using the particle swarm optimization(PSO)algorithm to obtain the prediction model of bead width and height.The predicted results were verified by experiments.Results show that the weld bead width increases with the increase in WFS and the welding current and decreases with WS.The smaller the WFS,the faster the WS,which is beneficial for the generation of equiaxed crystals.The smaller the welding current,the faster the cooling speed of the metal melt,which is conducive to the formation of dendrites.The interaction among WS,wire feed speed,and welding current has a significant effect on the bead width.The weld bead height is positively correlated with the wire feed speed and negatively correlated with the WS and current.The interaction between the wire feed speed and WS is significant.The optimized WAAM process parameters for duplex stainless steel are a wire feed speed of 200 cm/min,WS of 24 cm/min,and welding current of 160 A.The maximum error of the BP neural network in predicting the weld bead width and height is 7.74%,and the maximum error between the predicted and experimental values of the BP-PSO neural network is 4.27%.This finding indicates that the convergence speed is fast,improving the prediction accuracy.