Abstract In this study, hybrid alloys were obtained by casting method with alloy elements and additive such as Si and MoS2, which can be used instead of lead, and compared with Ecobrass and free cutting brass samples used in the market in terms of microstructure, mechanical, and machinability properties. The microstructures of lead-free hybridized brass consists of alpha, beta, and intermetallic compound which were confirmed by the results of X-Ray Diffraction analysis and Scanning Electron Microscopy-Energy Dispersive Spectroscopy. The hardness values of the beta phase in the microstructure are between 180 and 220 Vickers hardness. It has been observed that increasing the amount of beta prime phase also increases the hardness. The machinability of samples was evaluated in terms of surface roughness and chip formation. Chips obtained from samples after machining process were categorized according to ISO 6385-G1 standard. Chip morphologies were examined under optic microscope and scanning electron microscope. The surface roughness value of samples with MoS2 additives was found to be the lowest due to its lubricity effect. Moreover, morphologies, distribution of phases, and intermetallic compounds in the microstructure are found to have a great impact on the machinability and ultimate tensile strength.
{"title":"Investigation of microstructure, machinability, and mechanical properties of new-generation hybrid lead-free brass alloys","authors":"Özbey Semih, Artir Recep","doi":"10.1515/htmp-2022-0263","DOIUrl":"https://doi.org/10.1515/htmp-2022-0263","url":null,"abstract":"Abstract In this study, hybrid alloys were obtained by casting method with alloy elements and additive such as Si and MoS2, which can be used instead of lead, and compared with Ecobrass and free cutting brass samples used in the market in terms of microstructure, mechanical, and machinability properties. The microstructures of lead-free hybridized brass consists of alpha, beta, and intermetallic compound which were confirmed by the results of X-Ray Diffraction analysis and Scanning Electron Microscopy-Energy Dispersive Spectroscopy. The hardness values of the beta phase in the microstructure are between 180 and 220 Vickers hardness. It has been observed that increasing the amount of beta prime phase also increases the hardness. The machinability of samples was evaluated in terms of surface roughness and chip formation. Chips obtained from samples after machining process were categorized according to ISO 6385-G1 standard. Chip morphologies were examined under optic microscope and scanning electron microscope. The surface roughness value of samples with MoS2 additives was found to be the lowest due to its lubricity effect. Moreover, morphologies, distribution of phases, and intermetallic compounds in the microstructure are found to have a great impact on the machinability and ultimate tensile strength.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42995587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hiroyuki Fukuyama, Hideo Higashi, M. Adachi, Makoto Ohtsuka
Abstract This study is part of a series of studies aimed at measuring the thermophysical properties of molten phase change material-type metallic thermal energy storage materials near 873 K (600°C). The target material is Al–Si based alloys. First, as a feasibility study, density measurements of the molten state of three Al–Si binary alloys (Al–12.2Si, Al–50Si and Al–90Si in atomic%) were performed. A highly accurate non-contact density measurement method based on the static magnetic field superposition electromagnetic levitation (EML) method was employed as the density measurement method. The validity of this experimental method was confirmed, and density of molten Al–Si base alloys (ADC12 and Al–5.9mass%Si–1.6mass%Fe) were measured as a function of temperature with an expanded uncertainty of 1.2%. In addition, the surface tension of the alloys was measured by the droplet oscillation method using the EML technique. The surface tension was successfully obtained as a function of temperature with expanded uncertainty of 2.3%.
{"title":"Density and surface tension measurements of molten Al–Si based alloys","authors":"Hiroyuki Fukuyama, Hideo Higashi, M. Adachi, Makoto Ohtsuka","doi":"10.1515/htmp-2022-0286","DOIUrl":"https://doi.org/10.1515/htmp-2022-0286","url":null,"abstract":"Abstract This study is part of a series of studies aimed at measuring the thermophysical properties of molten phase change material-type metallic thermal energy storage materials near 873 K (600°C). The target material is Al–Si based alloys. First, as a feasibility study, density measurements of the molten state of three Al–Si binary alloys (Al–12.2Si, Al–50Si and Al–90Si in atomic%) were performed. A highly accurate non-contact density measurement method based on the static magnetic field superposition electromagnetic levitation (EML) method was employed as the density measurement method. The validity of this experimental method was confirmed, and density of molten Al–Si base alloys (ADC12 and Al–5.9mass%Si–1.6mass%Fe) were measured as a function of temperature with an expanded uncertainty of 1.2%. In addition, the surface tension of the alloys was measured by the droplet oscillation method using the EML technique. The surface tension was successfully obtained as a function of temperature with expanded uncertainty of 2.3%.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43342788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shixian Zhang, K. Hu, X. Zhao, J. Liang, Yungang Li
Abstract The process of preparing surface composite by molten salt co-deposition is the result of the mass transfer of active particles in molten salt, electrochemical reduction, and solid diffusion. In this study, we prepared Cr–Ni alloy/low-carbon steel surface composites in NaCl, KCl, NaF, Cr2O3, and NiO melt salt system successfully, and analyzed the entire diffusion dynamics process, aiming to find out the limiting links and provide ideas for further improving the preparation efficiency. The results show that chromium and nickel ions are simultaneously reduced on the cathode surface through two and one steps, respectively. And an alloy layer with Fe content of 64.52 wt%, Ni content of 28.96 wt%, and Cr content of 6.52 wt% is formed on the surface of low-carbon steel substrate. The average diffusion coefficients of chromium and nickel atoms in the surface composites are 1.16 × 10−14 and 1.44 × 10−14 m2·s−1. The mass transfer process in molten salt is the limiting link in the whole preparation process.
{"title":"Study on diffusion kinetics of chromium and nickel electrochemical co-deposition in a NaCl–KCl–NaF–Cr2O3–NiO molten salt","authors":"Shixian Zhang, K. Hu, X. Zhao, J. Liang, Yungang Li","doi":"10.1515/htmp-2022-0276","DOIUrl":"https://doi.org/10.1515/htmp-2022-0276","url":null,"abstract":"Abstract The process of preparing surface composite by molten salt co-deposition is the result of the mass transfer of active particles in molten salt, electrochemical reduction, and solid diffusion. In this study, we prepared Cr–Ni alloy/low-carbon steel surface composites in NaCl, KCl, NaF, Cr2O3, and NiO melt salt system successfully, and analyzed the entire diffusion dynamics process, aiming to find out the limiting links and provide ideas for further improving the preparation efficiency. The results show that chromium and nickel ions are simultaneously reduced on the cathode surface through two and one steps, respectively. And an alloy layer with Fe content of 64.52 wt%, Ni content of 28.96 wt%, and Cr content of 6.52 wt% is formed on the surface of low-carbon steel substrate. The average diffusion coefficients of chromium and nickel atoms in the surface composites are 1.16 × 10−14 and 1.44 × 10−14 m2·s−1. The mass transfer process in molten salt is the limiting link in the whole preparation process.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43459301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The focus of this study is to regulate the variation in the input parameters of multiple microwave sources in a high-frequency multimode resonant heating system to achieve uniform heating. First, this study deeply expands the theoretical process of frequency change and proposes a frequency-shifting strategy with hot spot alternation to ensure that the temperature difference range of each hot spot does not continuously expand during the heating process. Then, a sequential quadratic programming algorithm is introduced to reconstruct the input power values to improve the heating efficiency according to the different microwave absorption efficiencies of the heated material at different frequencies. Finally, a numerical calculation model for multi-source microwave power-frequency cooperative heating is established based on the finite-element method, and the temperature uniformity index is effectively calculated. Numerical calculations show that the proposed method can improve the uniformity in single-material heating and multi-material heating cases by 56.8–94.3% and 44.4–76.6%, respectively, over that of fixed-frequency heating while achieving improved heating efficiency on the basis of frequency conversion.
{"title":"Temperature uniformity optimization with power-frequency coordinated variation in multi-source microwave based on sequential quadratic programming","authors":"Biao Yang, Zemin Han, Cheng Cheng, Hao Gao, Zhaogang Wu","doi":"10.1515/htmp-2022-0279","DOIUrl":"https://doi.org/10.1515/htmp-2022-0279","url":null,"abstract":"Abstract The focus of this study is to regulate the variation in the input parameters of multiple microwave sources in a high-frequency multimode resonant heating system to achieve uniform heating. First, this study deeply expands the theoretical process of frequency change and proposes a frequency-shifting strategy with hot spot alternation to ensure that the temperature difference range of each hot spot does not continuously expand during the heating process. Then, a sequential quadratic programming algorithm is introduced to reconstruct the input power values to improve the heating efficiency according to the different microwave absorption efficiencies of the heated material at different frequencies. Finally, a numerical calculation model for multi-source microwave power-frequency cooperative heating is established based on the finite-element method, and the temperature uniformity index is effectively calculated. Numerical calculations show that the proposed method can improve the uniformity in single-material heating and multi-material heating cases by 56.8–94.3% and 44.4–76.6%, respectively, over that of fixed-frequency heating while achieving improved heating efficiency on the basis of frequency conversion.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44017604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This report investigates the thermal performance of light-emitting diodes (LEDs) using a heat sink structure based on an optimized design and a sprayed cuprous oxide (Cu2O) coating. An orthogonal array of 18 aluminum plates with various heat-dissipated structures was created. The optimal junction temperature of the LED package is determined by using the signal-to-noise ratio (S/N) of the heat-dissipated structure based on Taguchi’s method as well as the heat dissipation coating. According to the analysis of variance, the most important factors that influence the junction temperature can be obtained as the depth of groove, the layout of holes, the layout of LEDs, and the number of Cu block. These significant factors constituted approximately 91.06% of the variation in the experiment. The results show that by optimizing the structure of the LED heat sink based on the heat-dissipated coating, the efficiency of the junction temperature is increased by 23.88%. Also, a gain of 1.30 dB corresponds to a 9.67% reduction in variance, which indicates the improvement through the optimal setting by 1.162 times of variance, showing good reproducibility. Overall, the coating is based on the optimized design of the structure of the heat sink that has good heat transfer capability, which can provide a good solution to the heat-dissipated problem of LED and further give guidance to the future development of LED.
{"title":"Heat management of LED-based Cu2O deposits on the optimal structure of heat sink","authors":"Congrong Wang, Chao Zhang, Qiduan Chen, Hui Lin, Xinting Sun, Jiahao Li, Mingder Jean","doi":"10.1515/htmp-2022-0277","DOIUrl":"https://doi.org/10.1515/htmp-2022-0277","url":null,"abstract":"Abstract This report investigates the thermal performance of light-emitting diodes (LEDs) using a heat sink structure based on an optimized design and a sprayed cuprous oxide (Cu2O) coating. An orthogonal array of 18 aluminum plates with various heat-dissipated structures was created. The optimal junction temperature of the LED package is determined by using the signal-to-noise ratio (S/N) of the heat-dissipated structure based on Taguchi’s method as well as the heat dissipation coating. According to the analysis of variance, the most important factors that influence the junction temperature can be obtained as the depth of groove, the layout of holes, the layout of LEDs, and the number of Cu block. These significant factors constituted approximately 91.06% of the variation in the experiment. The results show that by optimizing the structure of the LED heat sink based on the heat-dissipated coating, the efficiency of the junction temperature is increased by 23.88%. Also, a gain of 1.30 dB corresponds to a 9.67% reduction in variance, which indicates the improvement through the optimal setting by 1.162 times of variance, showing good reproducibility. Overall, the coating is based on the optimized design of the structure of the heat sink that has good heat transfer capability, which can provide a good solution to the heat-dissipated problem of LED and further give guidance to the future development of LED.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48960890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The accurate control of the endpoint in converter steelmaking is of great significance and value for energy saving, emission reduction, and steel quality improvement. The key to endpoint control lies in accurately predicting the carbon content and temperature. Converter steelmaking is a dynamic process with a large fluctuation of samples, and traditional ensemble learning methods ignore the differences among the query samples and use all the sub-models to predict. The different performances of each sub-model lead to the performance degradation of ensemble learning. To address this issue, we propose a soft sensor method based on multi-cluster dynamic adaptive selection (MC-DAS) ensemble learning for converter steelmaking endpoint carbon content and temperature prediction. First, to ensure the diversity of the ensemble learning base model, we propose a clustering algorithm with different data partition characteristics to construct a pool of diverse base models. Second, a model adaptive selection strategy is proposed, which involves constructing diverse similarity regions for individual query samples and assessing the model’s performance in these regions to identify the most suitable model and weight combination for each respective query sample. Compared with the traditional ensemble learning method, the simulation results of actual converter steelmaking process data show that the prediction accuracy of carbon content within ±0.02% error range reaches 92.8%, and temperature within ±10°C error range reaches 91.6%.
{"title":"Soft sensor method for endpoint carbon content and temperature of BOF based on multi-cluster dynamic adaptive selection ensemble learning","authors":"Bin Shao, Hui Liu, Fu-gang Chen","doi":"10.1515/htmp-2022-0287","DOIUrl":"https://doi.org/10.1515/htmp-2022-0287","url":null,"abstract":"Abstract The accurate control of the endpoint in converter steelmaking is of great significance and value for energy saving, emission reduction, and steel quality improvement. The key to endpoint control lies in accurately predicting the carbon content and temperature. Converter steelmaking is a dynamic process with a large fluctuation of samples, and traditional ensemble learning methods ignore the differences among the query samples and use all the sub-models to predict. The different performances of each sub-model lead to the performance degradation of ensemble learning. To address this issue, we propose a soft sensor method based on multi-cluster dynamic adaptive selection (MC-DAS) ensemble learning for converter steelmaking endpoint carbon content and temperature prediction. First, to ensure the diversity of the ensemble learning base model, we propose a clustering algorithm with different data partition characteristics to construct a pool of diverse base models. Second, a model adaptive selection strategy is proposed, which involves constructing diverse similarity regions for individual query samples and assessing the model’s performance in these regions to identify the most suitable model and weight combination for each respective query sample. Compared with the traditional ensemble learning method, the simulation results of actual converter steelmaking process data show that the prediction accuracy of carbon content within ±0.02% error range reaches 92.8%, and temperature within ±10°C error range reaches 91.6%.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135442917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The mayenite Ca 12 Al 14 O 33 material, owing to its oxide ion conducting behavior and the low cost of raw materials, has the potential of being applied in solid oxide fuel cells as an electrolyte. However, suffering from the relatively low oxide ion conductivity, there is still a long way to go for its practical application. To enhance the oxide ion conduction in Ca 12 Al 14 O 33 , many efforts have been endowed to this from different research groups but hardly succeeded. In this work, the Ca 12 Al 14 O 33 -based materials with Y, In, and Cu-doping on the Ca or Al sites were fabricated through a traditional solid-state reaction method (for Y-doping on Ca and Cu-doping on Al) or a glass-crystallization method (for In-doping on Al), with their electrical conductivities being studied. The results revealed that the solid solution regions of Ca 12− x Y x Al 14 O 33+ δ , Ca 12 Al 14− x In x O 33 , and Ca 12 Al 14− x Cu x O 33− δ were 0 ≤ x ≤ 0.15, 0 ≤ x ≤ 0.1, and 0 ≤ x ≤ 0.3, respectively. The electrical conductivities of all these doped materials were investigated.
摘要/ Abstract摘要:mayenite ca12al14o33材料由于具有良好的氧化离子导电性能和低廉的原材料成本，在固体氧化物燃料电池中具有作为电解质的应用潜力。然而，由于氧化离子电导率相对较低，其实际应用还有很长的路要走。为了提高ca12al14o33的氧化离子导电性，不同的研究小组做了很多努力，但很少成功。本文通过传统的固相反应法(Y掺杂在Ca上，cu掺杂在Al上)或玻璃结晶法(In掺杂在Al上)制备了在Ca或Al上掺杂Y、In和cu的Ca - 12al - 14o33基材料，并对其电导率进行了研究。结果表明，Ca 12−x Y x Al 14 O 33+ δ、Ca 12 Al 14−x In x O 33和Ca 12 Al 14−x Cu x O 33−δ的固溶体区分别为0≤x≤0.15、0≤x≤0.1和0≤x≤0.3。研究了这些掺杂材料的电导率。
{"title":"Cation-doping effects on the conductivities of the mayenite Ca<sub>12</sub>Al<sub>14</sub>O<sub>33</sub>","authors":"Xingping Song, Yaqiong Guo, Wenzhuo Chen, Keke Hou, Xiaoxu Duan, Jungu Xu","doi":"10.1515/htmp-2022-0295","DOIUrl":"https://doi.org/10.1515/htmp-2022-0295","url":null,"abstract":"Abstract The mayenite Ca 12 Al 14 O 33 material, owing to its oxide ion conducting behavior and the low cost of raw materials, has the potential of being applied in solid oxide fuel cells as an electrolyte. However, suffering from the relatively low oxide ion conductivity, there is still a long way to go for its practical application. To enhance the oxide ion conduction in Ca 12 Al 14 O 33 , many efforts have been endowed to this from different research groups but hardly succeeded. In this work, the Ca 12 Al 14 O 33 -based materials with Y, In, and Cu-doping on the Ca or Al sites were fabricated through a traditional solid-state reaction method (for Y-doping on Ca and Cu-doping on Al) or a glass-crystallization method (for In-doping on Al), with their electrical conductivities being studied. The results revealed that the solid solution regions of Ca 12− x Y x Al 14 O 33+ δ , Ca 12 Al 14− x In x O 33 , and Ca 12 Al 14− x Cu x O 33− δ were 0 ≤ x ≤ 0.15, 0 ≤ x ≤ 0.1, and 0 ≤ x ≤ 0.3, respectively. The electrical conductivities of all these doped materials were investigated.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135610967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li Min, Liu Hongbo, Xie Rongyuan, Che Xiaorui, Liu Ying, Xu Hao, Zhang Caidong, Tian Zhiqiang
Abstract The liquidus temperature and temperature drop coefficients of medium manganese steel were systematically studied using Factsage and differential scanning calorimetry (DSC) experiments. The results indicated that the temperature drop coefficients of C, Mn, Cr, Si, and Al were complex, while the coefficients of Mo, V, and Nb were of a constant value. Based on the temperature drop coefficients, the empirical formula for calculating the liquidus temperature of medium manganese steel was established. The liquidus temperature calculated using the empirical formula was 1422.7°C, while that obtained by the DSC experiment was 1422.9°C. By comparison with different calculation formulas, the liquidus temperature obtained from the formula that was constructed in this study was much closer to the experiment one, indicating the high accuracy of the empirical formula in predicting the liquidus temperature of medium manganese steel.
{"title":"Investigation of the liquidus temperature calculation method for medium manganese steel","authors":"Li Min, Liu Hongbo, Xie Rongyuan, Che Xiaorui, Liu Ying, Xu Hao, Zhang Caidong, Tian Zhiqiang","doi":"10.1515/htmp-2022-0285","DOIUrl":"https://doi.org/10.1515/htmp-2022-0285","url":null,"abstract":"Abstract The liquidus temperature and temperature drop coefficients of medium manganese steel were systematically studied using Factsage and differential scanning calorimetry (DSC) experiments. The results indicated that the temperature drop coefficients of C, Mn, Cr, Si, and Al were complex, while the coefficients of Mo, V, and Nb were of a constant value. Based on the temperature drop coefficients, the empirical formula for calculating the liquidus temperature of medium manganese steel was established. The liquidus temperature calculated using the empirical formula was 1422.7°C, while that obtained by the DSC experiment was 1422.9°C. By comparison with different calculation formulas, the liquidus temperature obtained from the formula that was constructed in this study was much closer to the experiment one, indicating the high accuracy of the empirical formula in predicting the liquidus temperature of medium manganese steel.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135954983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1615/hightempmatproc.2023047043
L. Novikov, E. Dzlieva, M. Golubev, S. Pavlov, M. Gasilov, V. Karasev
In this study, an experimental investigation of the effects of dust particle selection was carried out, in which the type of plasma-forming gas was varied. Using working gases with different ionization potentials, plasma filters (plasma-dust traps) capable of holding dust particles from 3 to 6.3 µm in size were obtained. The correspondence between the main parameters of the discharge (the longitudinal field and the electron temperature) and the size of the levitated particles was obtained from the numerical estimates. From the results obtained in the study, it was possible to create plasma filters with specified and finely tuned particle parameters. This makes it possible to create dusty plasmas with particles of required sizes.
{"title":"SELECTION OF DUST PARTICLES IN A STRIATION IN GLOW DISCHARGE IN INERT GASES WITH DIFFERENT IONIZATION POTENTIALS","authors":"L. Novikov, E. Dzlieva, M. Golubev, S. Pavlov, M. Gasilov, V. Karasev","doi":"10.1615/hightempmatproc.2023047043","DOIUrl":"https://doi.org/10.1615/hightempmatproc.2023047043","url":null,"abstract":"In this study, an experimental investigation of the effects of dust particle selection was carried out, in which the type of plasma-forming gas was varied. Using working gases with different ionization potentials, plasma filters (plasma-dust traps) capable of holding dust particles from 3 to 6.3 µm in size were obtained. The correspondence between the main parameters of the discharge (the longitudinal field and the electron temperature) and the size of the levitated particles was obtained from the numerical estimates. From the results obtained in the study, it was possible to create plasma filters with specified and finely tuned particle parameters. This makes it possible to create dusty plasmas with particles of required sizes.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":"13 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82255947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li Yi-hong, Ni Jin-Yu, Zhao Yu-kun, He Yi-bo, Ren Zhi-feng, Chen Hui-qin
Abstract Aiming at the quality problems such as segregation, porosity and shrinkage cavities that are difficult to eliminate due to the size effect of large die-cast steel ingots as large forging blanks, the idea of layered casting of large steel ingots is proposed. The transient heat transfer process and cladding path of the ingot core and cladding layer under different molten steel casting temperatures, different ingot core diameters and different ingot core preheating temperatures were studied by combining numerical simulation and thermal experiments. The research results show that the cladding path has a certain functional relationship with the diameter of the ingot core and the preheating temperature of the ingot core. Obviously, the interfacial melting rate can be significantly improved. The thermal scaling experiment was carried out on the cladding path under the condition of a casting temperature of 1,560°C and no preheating of the ingot core. The microhardness of the interface is higher than that of the clad steel ingot, and the metallurgical bond of the interface is good.
{"title":"Study on the cladding path during the solidification process of multi-layer cladding of large steel ingots","authors":"Li Yi-hong, Ni Jin-Yu, Zhao Yu-kun, He Yi-bo, Ren Zhi-feng, Chen Hui-qin","doi":"10.1515/htmp-2022-0267","DOIUrl":"https://doi.org/10.1515/htmp-2022-0267","url":null,"abstract":"Abstract Aiming at the quality problems such as segregation, porosity and shrinkage cavities that are difficult to eliminate due to the size effect of large die-cast steel ingots as large forging blanks, the idea of layered casting of large steel ingots is proposed. The transient heat transfer process and cladding path of the ingot core and cladding layer under different molten steel casting temperatures, different ingot core diameters and different ingot core preheating temperatures were studied by combining numerical simulation and thermal experiments. The research results show that the cladding path has a certain functional relationship with the diameter of the ingot core and the preheating temperature of the ingot core. Obviously, the interfacial melting rate can be significantly improved. The thermal scaling experiment was carried out on the cladding path under the condition of a casting temperature of 1,560°C and no preheating of the ingot core. The microhardness of the interface is higher than that of the clad steel ingot, and the metallurgical bond of the interface is good.","PeriodicalId":12966,"journal":{"name":"High Temperature Materials and Processes","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41342364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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