M. Gurjar, Shubham Deshmukh, S. Goswami, V. Mathankar, S. Shrivastava
The Scope of the project is to design and analyse a chassis frame to ensure that the design is under safe limit or not. This paper will provide a basis understanding of the use of FEA software and Design software for the analysis of chassis frame.
{"title":"Design and Durability Analysis of Ladder Chassis Frame","authors":"M. Gurjar, Shubham Deshmukh, S. Goswami, V. Mathankar, S. Shrivastava","doi":"10.2139/ssrn.3368110","DOIUrl":"https://doi.org/10.2139/ssrn.3368110","url":null,"abstract":"The Scope of the project is to design and analyse a chassis frame to ensure that the design is under safe limit or not. This paper will provide a basis understanding of the use of FEA software and Design software for the analysis of chassis frame.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91411767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hazem R. Bonna, Ahmed S. El-Hakim, Hatem S. El-Behairy
Worldwide, all the current sustainable rating systems are targeting fair and applicable rating criteria and conditions to best matching the circumstances and sustainable needs of every nation for their environmental conditions, equity needs, and economic concerns. This paper is made to evaluate & measure the compliance of BREEAM-International-NC-2016 sustainable rating system with the sustainability concerns of the new construction market outside the UK through considering Egypt as an example and conducting a detailed comparative analysis between the BREEAM-International-NC-2016 sustainable rating system and the authors' proposed sustainable rating system for new construction in Egypt (Bonna, Hazem (2018)) to highlight most of the missing sustainability rating elements which are necessary for Egypt and not found within the BREEAM-International-NC-2016 rating system. Sev considered that international building assessment tools have difficulties in their implementation in developing countries lacking regional adaptations. The author also added that most of the well-known building environmental assessment tools are not flexible for cultural and regional variations.
{"title":"Technical Evaluation of BREEAM-International-NC-2016 for Rating of Sustainable New Construction Outside the UK","authors":"Hazem R. Bonna, Ahmed S. El-Hakim, Hatem S. El-Behairy","doi":"10.2139/ssrn.3361488","DOIUrl":"https://doi.org/10.2139/ssrn.3361488","url":null,"abstract":"Worldwide, all the current sustainable rating systems are targeting fair and applicable rating criteria and conditions to best matching the circumstances and sustainable needs of every nation for their environmental conditions, equity needs, and economic concerns. \u0000 \u0000This paper is made to evaluate & measure the compliance of BREEAM-International-NC-2016 sustainable rating system with the sustainability concerns of the new construction market outside the UK through considering Egypt as an example and conducting a detailed comparative analysis between the BREEAM-International-NC-2016 sustainable rating system and the authors' proposed sustainable rating system for new construction in Egypt (Bonna, Hazem (2018)) to highlight most of the missing sustainability rating elements which are necessary for Egypt and not found within the BREEAM-International-NC-2016 rating system. \u0000 \u0000Sev considered that international building assessment tools have difficulties in their implementation in developing countries lacking regional adaptations. The author also added that most of the well-known building environmental assessment tools are not flexible for cultural and regional variations.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91047930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The time change of the area of a single grain is calculated in 2D by applying Herring’s analysis. The grain is a regular n-sided polygon with its corners representing triple junctions (TJs). The resulting change of grain area is compared to the Von Neumann–Mullins analysis, where grain boundaries (GB) are curved and angles at TJs are equilibrium angles. The rates of area change are similar with the largest deviation for triangles. For both cases of different angles at TJs polygons with n 6 grow. Pieces of evidence are provided for describing the GB-movement by disclination generation and motion due to thermal fluctuations. Thus besides energy considerations a stochastic element comes into play.
{"title":"Simple Geometrical Aspects of Grain Growth in the Framework of Herring’s Analysis and a Disclination Model","authors":"R. Kirchheim","doi":"10.2139/ssrn.3358866","DOIUrl":"https://doi.org/10.2139/ssrn.3358866","url":null,"abstract":"The time change of the area of a single grain is calculated in 2D by applying Herring’s analysis. The grain is a regular n-sided polygon with its corners representing triple junctions (TJs). The resulting change of grain area is compared to the Von Neumann–Mullins analysis, where grain boundaries (GB) are curved and angles at TJs are equilibrium angles. The rates of area change are similar with the largest deviation for triangles. For both cases of different angles at TJs polygons with n 6 grow. Pieces of evidence are provided for describing the GB-movement by disclination generation and motion due to thermal fluctuations. Thus besides energy considerations a stochastic element comes into play.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86602622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We study the classic multiperiod joint pricing and inventory control problem in a data-driven setting. In this problem, a retailer makes periodic decisions on the prices and inventory levels of a product that she wishes to sell. The retailer’s objective is to maximize the expected profit over a finite horizon by matching the inventory level with a random demand, which depends on the price in each period. In reality, the demand functions or random noise distributions are usually difficult to know exactly, whereas past demand data are relatively easy to collect. We propose a data-driven approximation algorithm that uses precollected demand data to solve the joint pricing and inventory control problem. We assume that the retailer does not know the noise distributions or the true demand functions; instead, we assume either she has access to demand hypothesis sets and the true demand functions can be represented by nonnegative combinations of candidate functions in the demand hypothesis sets, or the true demand function is generalized linear. We prove the algorithm’s sample complexity bound: the number of data samples needed in each period to guarantee a near-optimal profit is [Formula: see text], where T is the number of periods, and ϵ is the absolute difference between the expected profit of the data-driven policy and the expected optimal profit. In a numerical study, we demonstrate the construction of demand hypothesis sets from data and show that the proposed data-driven algorithm solves the dynamic problem effectively and significantly improves the optimality gaps over the baseline algorithms. This paper was accepted by J. George Shanthikumar, big data analytics.
研究了数据驱动下的经典多期联合定价与库存控制问题。在这个问题中，零售商对她希望销售的产品的价格和库存水平做出定期决策。零售商的目标是通过将库存水平与随机需求(取决于每个时期的价格)相匹配，在有限的范围内实现预期利润最大化。在现实中，需求函数或随机噪声分布通常很难准确知道，而过去的需求数据相对容易收集。我们提出了一种数据驱动的近似算法，该算法使用预先收集的需求数据来解决联合定价和库存控制问题。我们假设零售商不知道噪声分布或真正的需求函数;相反，我们假设她可以访问需求假设集，并且真正的需求函数可以由需求假设集中候选函数的非负组合表示，或者真正的需求函数是广义线性的。我们证明了算法的样本复杂度界:保证接近最优利润的每个周期所需的数据样本数为[公式:见文]，其中T为周期数，λ为数据驱动策略的预期利润与预期最优利润之间的绝对差值。在一项数值研究中，我们从数据中证明了需求假设集的构造，并表明所提出的数据驱动算法有效地解决了动态问题，并显著改善了基线算法的最优性差距。本文被大数据分析J. George Shanthikumar接受。
{"title":"Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models","authors":"Hanzhang Qin, D. Simchi-Levi, Li Wang","doi":"10.2139/ssrn.3354358","DOIUrl":"https://doi.org/10.2139/ssrn.3354358","url":null,"abstract":"We study the classic multiperiod joint pricing and inventory control problem in a data-driven setting. In this problem, a retailer makes periodic decisions on the prices and inventory levels of a product that she wishes to sell. The retailer’s objective is to maximize the expected profit over a finite horizon by matching the inventory level with a random demand, which depends on the price in each period. In reality, the demand functions or random noise distributions are usually difficult to know exactly, whereas past demand data are relatively easy to collect. We propose a data-driven approximation algorithm that uses precollected demand data to solve the joint pricing and inventory control problem. We assume that the retailer does not know the noise distributions or the true demand functions; instead, we assume either she has access to demand hypothesis sets and the true demand functions can be represented by nonnegative combinations of candidate functions in the demand hypothesis sets, or the true demand function is generalized linear. We prove the algorithm’s sample complexity bound: the number of data samples needed in each period to guarantee a near-optimal profit is [Formula: see text], where T is the number of periods, and ϵ is the absolute difference between the expected profit of the data-driven policy and the expected optimal profit. In a numerical study, we demonstrate the construction of demand hypothesis sets from data and show that the proposed data-driven algorithm solves the dynamic problem effectively and significantly improves the optimality gaps over the baseline algorithms. This paper was accepted by J. George Shanthikumar, big data analytics.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80767134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kun Ma, Yawen Li, Yuzhi Chen, Xin Zhang, Chunyuan Chen, Haoyu Yu, Jia Huang, Zhiying Yang, Xuefei Wang, Zhuo Wang
Photothermal conversion efficiency (η) of gold nanorods (GNRs) can be tuned by enlarging the aspect ratio and forming core-shell structure. Herein, an easy synthesis method is developed to construct core-shell GNR@LDH nanostructure with GNRs and layered double hydroxides (LDHs). The interaction between Au and LDHs results some elec-tron deficiency on the surface of Au and the more electrons induce more thermal energy conversion. The η value of GNR@LDH can reach up to 59.85% under the 808 nm laser irradiation, which is the highest efficiency compared with all reported GNRs-based PTT materials. CTAB can be replaced totally during the synthesis process, and GNRs keep a good dispersion in LDHs. This core-shell composite GNR@LDH can be applied in photothermal antibacterial, tumor therapy and biological imaging with low dosage and nontoxicity.
{"title":"A Core-Shell Gold Nanorod@Layered Double Hydroxide Nanomaterial with High Efficient Photothermal Conversion and Its Application in Antibacterial and Tumor Therapy","authors":"Kun Ma, Yawen Li, Yuzhi Chen, Xin Zhang, Chunyuan Chen, Haoyu Yu, Jia Huang, Zhiying Yang, Xuefei Wang, Zhuo Wang","doi":"10.2139/ssrn.3351832","DOIUrl":"https://doi.org/10.2139/ssrn.3351832","url":null,"abstract":"Photothermal conversion efficiency (η) of gold nanorods (GNRs) can be tuned by enlarging the aspect ratio and forming core-shell structure. Herein, an easy synthesis method is developed to construct core-shell GNR@LDH nanostructure with GNRs and layered double hydroxides (LDHs). The interaction between Au and LDHs results some elec-tron deficiency on the surface of Au and the more electrons induce more thermal energy conversion. The η value of GNR@LDH can reach up to 59.85% under the 808 nm laser irradiation, which is the highest efficiency compared with all reported GNRs-based PTT materials. CTAB can be replaced totally during the synthesis process, and GNRs keep a good dispersion in LDHs. This core-shell composite GNR@LDH can be applied in photothermal antibacterial, tumor therapy and biological imaging with low dosage and nontoxicity.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80471798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Unforeseen upsurge in demand of smart electronic equipment and IoT has bestowed upon the IT fraternity a responsibility to develop a framework which can have control over access and transmission of client's private information. Though the IoT devices use a various types of protocols and standards for authentication but the scenario still demands for a better solution. In present study author has presented a detailed study of available biometric authentications which can be applied on IoT devices to provide a better secure system. Human biometric qualities, for example, confront, finger, iris examining, voice, signature have been discussed and a novel algorithm has been proposed which generate a unique encryption key to be used for authentication of IoT devices
{"title":"Physiological Biometric an Adequate Security Measure for IoT Applications","authors":"Meenakshi Srivastava","doi":"10.2139/ssrn.3350997","DOIUrl":"https://doi.org/10.2139/ssrn.3350997","url":null,"abstract":"Unforeseen upsurge in demand of smart electronic equipment and IoT has bestowed upon the IT fraternity a responsibility to develop a framework which can have control over access and transmission of client's private information. Though the IoT devices use a various types of protocols and standards for authentication but the scenario still demands for a better solution. In present study author has presented a detailed study of available biometric authentications which can be applied on IoT devices to provide a better secure system. Human biometric qualities, for example, confront, finger, iris examining, voice, signature have been discussed and a novel algorithm has been proposed which generate a unique encryption key to be used for authentication of IoT devices","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91522439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The thin films are coated on various surfaces to change or modify the characteristics of materials. The thin films are not very efficient because of macro particle formation. So there was a need to identify the reason behind macro particle formation, if there is a pattern in the formation of these macro particles and how these macro particles can be removed. Though there are various machines and software’s that do these particle detections but they are so expensive that those are only used by huge research labs. But the coating process is done in various organizations and for different applications even at smaller level. So there was a need to design a low cost thin film analysis model which can detect these macro particles and also identify if the coating quality is good or not. So the imaging of the thin films in this research was done using scanning electron microscopy. The images were analyzed and macro particles were detected using digital image processing algorithms like: gaussian filters to remove noise, image segmentation, watershed algorithm to separate & identify the particles and machine learning to make a film coating quality predicting model.
{"title":"Macroparticle Detection in Surface Coating Using Image Processing","authors":"P. S. Pandey, A. Tiwari","doi":"10.2139/ssrn.3350263","DOIUrl":"https://doi.org/10.2139/ssrn.3350263","url":null,"abstract":"The thin films are coated on various surfaces to change or modify the characteristics of materials. The thin films are not very efficient because of macro particle formation. So there was a need to identify the reason behind macro particle formation, if there is a pattern in the formation of these macro particles and how these macro particles can be removed. Though there are various machines and software’s that do these particle detections but they are so expensive that those are only used by huge research labs. But the coating process is done in various organizations and for different applications even at smaller level. So there was a need to design a low cost thin film analysis model which can detect these macro particles and also identify if the coating quality is good or not. So the imaging of the thin films in this research was done using scanning electron microscopy. The images were analyzed and macro particles were detected using digital image processing algorithms like: gaussian filters to remove noise, image segmentation, watershed algorithm to separate & identify the particles and machine learning to make a film coating quality predicting model.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85458274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Globally BIM is successfully adopted in the building construction industry. But, the potential of BIM for infrastructure is remained underutilized due to various factors. BIM has the ability to address the declining productivity levels as experienced globally. Due to unawareness and reluctance in BIM implementation the industry still has low maturity in BIM uses. Present study demonstrates the benefits of implementing BIM in a Flyover Project. The requirement of implementing BIM throughout the different phases of the project is variable and so the modelling requirement changes. In this paper the modelling is presented in accordance with the different project phases and the respective benefits of implementing BIM are worked out. To demonstrate the modelling process a case of the junction improvement project in Mumbai is considered. For the case of a project, the Conceptual, 3D, 4D and 5D models are developed. After modelling the benefits of BIM implementation are worked out by conducting interviews with the different stakeholders and professionals involved in the same project.
{"title":"Application of BIM: A Case of Flyover","authors":"Rushikesh Kasar, P. Gaikwad","doi":"10.2139/ssrn.3371507","DOIUrl":"https://doi.org/10.2139/ssrn.3371507","url":null,"abstract":"Globally BIM is successfully adopted in the building construction industry. But, the potential of BIM for infrastructure is remained underutilized due to various factors. BIM has the ability to address the declining productivity levels as experienced globally. Due to unawareness and reluctance in BIM implementation the industry still has low maturity in BIM uses. Present study demonstrates the benefits of implementing BIM in a Flyover Project. The requirement of implementing BIM throughout the different phases of the project is variable and so the modelling requirement changes. In this paper the modelling is presented in accordance with the different project phases and the respective benefits of implementing BIM are worked out. To demonstrate the modelling process a case of the junction improvement project in Mumbai is considered. For the case of a project, the Conceptual, 3D, 4D and 5D models are developed. After modelling the benefits of BIM implementation are worked out by conducting interviews with the different stakeholders and professionals involved in the same project.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82918881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Road construction projects carry a significant amount of risk due to its spread over a wide geographical area and threat from underground conditions. Risk can be defined as an event of known uncertainty and this uncertainty is measured in terms of its probability of occurrence. Risk has significant effect on any one of the aspects of a project namely cost, time or scope of the project. Understanding risks in the early stages of a project will help project managers to reduce its impacts and complete the project in an improved and more efficient manner. This can be achieved through proper Risk Management. The process of Risk Management comprises of identification, analysis and application of methods to reduce the identified risk. Along with identification and analysis, it is also necessary to allocate the risk properly to the respective contracting parties such as owners, consultants, contractors etc., so that risk handling decisions can be taken properly with authorization and without any disputes. This study focuses on management of risk in road construction projects. The roads are categorized as “High-volume roads” and “Low-volume roads” and analysis is carried out for High-volume roads roads. Identification of risk factors is done through a questionnaire survey and assessment of risk is done considering both the probability of the occurrence of risk and impact of the risk factor using 5 point likert scale for high volume and low volume roads. From the two parameters ‘risk priority’ is calculated by multiplying the RII values of both the parameters and the risks are ranked according to the RII values of the ‘risk priority’. Further allocation of the risk is also done through the questionnaire according to the responses of the respondents for each risk factor. The allocation is done towards the owner, consultant, contractor or the risk is shared between them. This study would help project managers to better estimate risks prior to the commencement of a project and allows them to develop proper mitigation measures at an early stage of a project.
{"title":"Risk Management in Road Construction Projects: High Volume Roads","authors":"Anmol Okate, Vijay Kakade","doi":"10.2139/ssrn.3375904","DOIUrl":"https://doi.org/10.2139/ssrn.3375904","url":null,"abstract":"Road construction projects carry a significant amount of risk due to its spread over a wide geographical area and threat from underground conditions. Risk can be defined as an event of known uncertainty and this uncertainty is measured in terms of its probability of occurrence. Risk has significant effect on any one of the aspects of a project namely cost, time or scope of the project. Understanding risks in the early stages of a project will help project managers to reduce its impacts and complete the project in an improved and more efficient manner. This can be achieved through proper Risk Management. The process of Risk Management comprises of identification, analysis and application of methods to reduce the identified risk. Along with identification and analysis, it is also necessary to allocate the risk properly to the respective contracting parties such as owners, consultants, contractors etc., so that risk handling decisions can be taken properly with authorization and without any disputes. This study focuses on management of risk in road construction projects. The roads are categorized as “High-volume roads” and “Low-volume roads” and analysis is carried out for High-volume roads roads. Identification of risk factors is done through a questionnaire survey and assessment of risk is done considering both the probability of the occurrence of risk and impact of the risk factor using 5 point likert scale for high volume and low volume roads. From the two parameters ‘risk priority’ is calculated by multiplying the RII values of both the parameters and the risks are ranked according to the RII values of the ‘risk priority’. Further allocation of the risk is also done through the questionnaire according to the responses of the respondents for each risk factor. The allocation is done towards the owner, consultant, contractor or the risk is shared between them. This study would help project managers to better estimate risks prior to the commencement of a project and allows them to develop proper mitigation measures at an early stage of a project.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80549053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li Li, Chao Jiang, Q. Fang, Jia Li, Bin Liu, Yong Liu, P. Liaw
High entropy alloys (HEAs) have attracted great attention due to their impressive properties induced by the severe lattice distortion in comparison to the conventional alloys. However, the effect of severe lattice distortion on the mechanical properties in face-centered-cubic (FCC) and body-centered-cubic (BCC) structured HEAs is still not fully understood, which are critically important to the fundamental studies as well as the industrial applications. Herein, a theoretical model for predicting the lattice-friction resistance and the yield stress in the FCC and BCC HEAs accounting for the lattice distortion is presented. Both the calculated lattice-friction resistance and the yield strength are compared to the experimental results, to verify the rationality of the built theoretical model. Moreover, the effect of the grain-size distribution on the yield strength is theoretically considered, which reveal the origin of multistage grain structure strengthening. The numerical predictions considering the severe lattice-distortion effect agree well with the experimental results for both FCC and BCC HEAs, in terms of the yield strength and the lattice-friction resistance. The grain-boundary strengthening dominates the yield strength in the FCC Al0.3CrCoFeNi HEA. The yield strength is governed by the lattice-friction resistance in the BCC TaNbHfZrTi HEA, agreeing with the previous work. In AlxCrCoFeNi HEAs, the Al concentration dominates the lattice-friction resistance, and the atomic-radius mismatch and shear-modulus mismatch induced by other four-principal-elements govern the lattice-friction lattice. The atomic-size mismatch dominates the lattice distortion in HEAs, and this viewpoint differs from the traditional knowledge that the increasing incorporated principal element controls the lattice distortion. These results provide the insight into the effect of the severe lattice distortion on the yield strengths in HEAs from the theoretical perspective, for discovering advanced high-strength HEAs.
{"title":"Probing the Lattice-Distortion Effect on Yield Strengths in High Entropy Alloys","authors":"Li Li, Chao Jiang, Q. Fang, Jia Li, Bin Liu, Yong Liu, P. Liaw","doi":"10.2139/ssrn.3313253","DOIUrl":"https://doi.org/10.2139/ssrn.3313253","url":null,"abstract":"High entropy alloys (HEAs) have attracted great attention due to their impressive properties induced by the severe lattice distortion in comparison to the conventional alloys. However, the effect of severe lattice distortion on the mechanical properties in face-centered-cubic (FCC) and body-centered-cubic (BCC) structured HEAs is still not fully understood, which are critically important to the fundamental studies as well as the industrial applications. Herein, a theoretical model for predicting the lattice-friction resistance and the yield stress in the FCC and BCC HEAs accounting for the lattice distortion is presented. Both the calculated lattice-friction resistance and the yield strength are compared to the experimental results, to verify the rationality of the built theoretical model. Moreover, the effect of the grain-size distribution on the yield strength is theoretically considered, which reveal the origin of multistage grain structure strengthening. The numerical predictions considering the severe lattice-distortion effect agree well with the experimental results for both FCC and BCC HEAs, in terms of the yield strength and the lattice-friction resistance. The grain-boundary strengthening dominates the yield strength in the FCC Al0.3CrCoFeNi HEA. The yield strength is governed by the lattice-friction resistance in the BCC TaNbHfZrTi HEA, agreeing with the previous work. In AlxCrCoFeNi HEAs, the Al concentration dominates the lattice-friction resistance, and the atomic-radius mismatch and shear-modulus mismatch induced by other four-principal-elements govern the lattice-friction lattice. The atomic-size mismatch dominates the lattice distortion in HEAs, and this viewpoint differs from the traditional knowledge that the increasing incorporated principal element controls the lattice distortion. These results provide the insight into the effect of the severe lattice distortion on the yield strengths in HEAs from the theoretical perspective, for discovering advanced high-strength HEAs.","PeriodicalId":18300,"journal":{"name":"MatSciRN: Other Materials Processing & Manufacturing (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76269286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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