Pub Date : 2024-08-19DOI: 10.1088/2051-672x/ad6b3c
Yong Jiang, Chenguang Liu, Chongliang Zou, Jian Liu
Three-dimensional dark-field confocal microscopy (DFCM) using annular illumination and complementary detection apertures is capable of detecting subsurface defects in ultra-precision optical components. In this study, a DFCM tuning algorithm for large apertures is proposed based on the sinc2 tuning model. This algorithm provides a reliable and theoretically accurate method for extracting the axial position during the measurement of subsurface defects. The rationality and accuracy of this method are verified through simulations and experimental results.
{"title":"Axial peak extraction in the measurement of subsurface structures with annular illumination confocal microscopy","authors":"Yong Jiang, Chenguang Liu, Chongliang Zou, Jian Liu","doi":"10.1088/2051-672x/ad6b3c","DOIUrl":"https://doi.org/10.1088/2051-672x/ad6b3c","url":null,"abstract":"Three-dimensional dark-field confocal microscopy (DFCM) using annular illumination and complementary detection apertures is capable of detecting subsurface defects in ultra-precision optical components. In this study, a DFCM tuning algorithm for large apertures is proposed based on the sinc<sup>2</sup> tuning model. This algorithm provides a reliable and theoretically accurate method for extracting the axial position during the measurement of subsurface defects. The rationality and accuracy of this method are verified through simulations and experimental results.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"13 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142193472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-16DOI: 10.1088/2051-672x/ad6b3d
D Reiser, M Brenzke, S Wiesen
We have developed a system that makes it possible to derive parameters of a Kuramoto-Sivashinsky (KS) model from a single given two-dimensional profile of surface structures, such as those produced by ion and plasma irradiation. The numerical method is inspired by well-known approaches to facial recognition. Starting from a scaled version of a KS Model to describe surface erosion, a training set of surface profiles is created. Each profile is assigned an appropriate feature in Fourier space and a Singular Value Decomposition is used to determine an orthogonal set of eigenfeatures that allow each profile to be assigned a point in the space of this basis and to determine the distances between them. It turns out that the profiles belonging to different model parameters are clearly separated from each other in this feature space, which enables very good identification. We explain the basic relationships using a synthetic data set and discuss the possibilities for applications to experimental results.
{"title":"Parameter identification by eigenfeature analysis: application to 2D Kuramoto-Sivashinsky surface models","authors":"D Reiser, M Brenzke, S Wiesen","doi":"10.1088/2051-672x/ad6b3d","DOIUrl":"https://doi.org/10.1088/2051-672x/ad6b3d","url":null,"abstract":"We have developed a system that makes it possible to derive parameters of a Kuramoto-Sivashinsky (KS) model from a single given two-dimensional profile of surface structures, such as those produced by ion and plasma irradiation. The numerical method is inspired by well-known approaches to facial recognition. Starting from a scaled version of a KS Model to describe surface erosion, a training set of surface profiles is created. Each profile is assigned an appropriate feature in Fourier space and a Singular Value Decomposition is used to determine an orthogonal set of eigenfeatures that allow each profile to be assigned a point in the space of this basis and to determine the distances between them. It turns out that the profiles belonging to different model parameters are clearly separated from each other in this feature space, which enables very good identification. We explain the basic relationships using a synthetic data set and discuss the possibilities for applications to experimental results.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"145 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142193470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-08-12DOI: 10.1088/2051-672x/ad69ae
Leonardo M Xavier, Carlos A R Neto, Antonio A L Marins, Nathan F Strey, Christine Boher, Cherlio Scandian
Surface preparation is essential to ensure sample homogeneity in terms of surface roughness and mechanical properties, as these factors can significantly affect wear behavior and test repeatability. Although conventional semi-automatic and automatic grinding and polishing processes are efficient and well established, limitations arise for the preparation of large numbers of samples of a hard material such as high-carbon steel, including issues with sample geometry, the need for on-demand sample holders, cost-related limitations, and even considerable human workload and expertise. This study aims to evaluate the use of rotary barrel tumbling—a polishing method that relies on the sliding of abrasive media over the samples’ surface inside a rotating barrel—as an alternative method to prepare the surface of wheel and rail steel samples for pin-on-disc wear testing. A 4-stage tumbling procedure was employed, using different compositions of tumbling media in each stage. Surface roughness and hardness were evaluated throughout the process via 2D and 3D profilometry, microhardness Vickers measurements, and optical microscopy. The proposed method resulted in significant reductions in the surface roughness and hardness of the samples, along with improved homogeneity between samples of different materials and within the same material. These findings suggest that rotary barrel tumbling is an effective alternative method for the surface preparation of pins and discs made of high-carbon steel, enhancing the samples’ suitability for subsequent wear tests.
{"title":"Rotary barrel tumbling as a method of surface preparation for pin-on-disc wear testing samples","authors":"Leonardo M Xavier, Carlos A R Neto, Antonio A L Marins, Nathan F Strey, Christine Boher, Cherlio Scandian","doi":"10.1088/2051-672x/ad69ae","DOIUrl":"https://doi.org/10.1088/2051-672x/ad69ae","url":null,"abstract":"Surface preparation is essential to ensure sample homogeneity in terms of surface roughness and mechanical properties, as these factors can significantly affect wear behavior and test repeatability. Although conventional semi-automatic and automatic grinding and polishing processes are efficient and well established, limitations arise for the preparation of large numbers of samples of a hard material such as high-carbon steel, including issues with sample geometry, the need for on-demand sample holders, cost-related limitations, and even considerable human workload and expertise. This study aims to evaluate the use of rotary barrel tumbling—a polishing method that relies on the sliding of abrasive media over the samples’ surface inside a rotating barrel—as an alternative method to prepare the surface of wheel and rail steel samples for pin-on-disc wear testing. A 4-stage tumbling procedure was employed, using different compositions of tumbling media in each stage. Surface roughness and hardness were evaluated throughout the process via 2D and 3D profilometry, microhardness Vickers measurements, and optical microscopy. The proposed method resulted in significant reductions in the surface roughness and hardness of the samples, along with improved homogeneity between samples of different materials and within the same material. These findings suggest that rotary barrel tumbling is an effective alternative method for the surface preparation of pins and discs made of high-carbon steel, enhancing the samples’ suitability for subsequent wear tests.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"7 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-07-30DOI: 10.1088/2051-672x/ad6580
Xubin Su, Wen Shao, Jinyuan Tang, Xin Li
Surface texture plays a crucial role in fluid dynamic lubrication. The non-Newtonian thermal elastohydrodynamic lubrication problem involving rough surfaces with texture has not been investigated to date. In this paper, a model for non-Newtonian thermal elastohydrodynamic lubrication incorporating rough surfaces and texture morphology is developed, focusing on the problem of mixed lubrication in planar extrusion with texture. The model builds upon the Reynolds equation with flow factor introduced. It considers the effects of rough surface texture, thermal effects, and non-Newtonian effects. The Reynolds equation is numerically solved using the Semi-System method to calculate the oil film pressure in full film region and contact pressure in dry contact area. The DC-FFT algorithm is employed to calculate surface elastic deformation. Comparing the calculated friction coefficient of the present model with the measured values in literature experiments, the average error is only 6.94%. Furthermore, the study investigates the effects of texture, temperature, and non-Newtonian on interfacial lubrication performance under mixed lubrication conditions. It’s found that compared to untextured surface, the average film thickness of textured surface increased by a maximum of 10.8%, and the friction coefficient decreased by a maximum of 67.4%; Compared to Newtonian fluids, shear thinning fluids reduce temperature by 0.18%, and shear thickening fluids are more conducive to improving mixed lubrication performance. A stepped pit texture is designed based on the dynamic pressure mechanism of the texture, indicating that the circular stepped pit texture has the best load-bearing capacity improvement.
{"title":"Study on the mixed lubrication of rough planar extrusion considering surface texture","authors":"Xubin Su, Wen Shao, Jinyuan Tang, Xin Li","doi":"10.1088/2051-672x/ad6580","DOIUrl":"https://doi.org/10.1088/2051-672x/ad6580","url":null,"abstract":"Surface texture plays a crucial role in fluid dynamic lubrication. The non-Newtonian thermal elastohydrodynamic lubrication problem involving rough surfaces with texture has not been investigated to date. In this paper, a model for non-Newtonian thermal elastohydrodynamic lubrication incorporating rough surfaces and texture morphology is developed, focusing on the problem of mixed lubrication in planar extrusion with texture. The model builds upon the Reynolds equation with flow factor introduced. It considers the effects of rough surface texture, thermal effects, and non-Newtonian effects. The Reynolds equation is numerically solved using the Semi-System method to calculate the oil film pressure in full film region and contact pressure in dry contact area. The DC-FFT algorithm is employed to calculate surface elastic deformation. Comparing the calculated friction coefficient of the present model with the measured values in literature experiments, the average error is only 6.94%. Furthermore, the study investigates the effects of texture, temperature, and non-Newtonian on interfacial lubrication performance under mixed lubrication conditions. It’s found that compared to untextured surface, the average film thickness of textured surface increased by a maximum of 10.8%, and the friction coefficient decreased by a maximum of 67.4%; Compared to Newtonian fluids, shear thinning fluids reduce temperature by 0.18%, and shear thickening fluids are more conducive to improving mixed lubrication performance. A stepped pit texture is designed based on the dynamic pressure mechanism of the texture, indicating that the circular stepped pit texture has the best load-bearing capacity improvement.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"29 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141869049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-07-21DOI: 10.1088/2051-672x/ad4571
Samuel A N Silva, Henara L Costa, Felipe K C Luz, Elton Y G Oliveira and Francisco J Profito
Understanding surface topography is vital for optimizing the performance of engineering components. Featured surfaces, with distinct patterns and textures, have garnered attention for their potential to reduce friction and wear. However, accurately describing their topography poses challenges, necessitating effective segmentation methods in many applications. This paper proposes utilizing the Gaussian Mixture Model (GMM) clustering method as a novel approach for surface metrology analysis of featured surfaces. The GMM provides an approach to identify and analyze specific surface features and enhance comprehension of their contributions to functionality. The paper presents a comprehensive methodology involving surface characterization, GMM clustering, plateau reference plane location, and calculation of essential topography parameters. Results from four different surfaces are discussed, demonstrating the effectiveness of the proposed GMM-based methodology in segmenting plateau regions, grooves, and porosity.
{"title":"Applying Gaussian mixture models for enhanced characterization of featured surfaces and mixed lubrication analysis","authors":"Samuel A N Silva, Henara L Costa, Felipe K C Luz, Elton Y G Oliveira and Francisco J Profito","doi":"10.1088/2051-672x/ad4571","DOIUrl":"https://doi.org/10.1088/2051-672x/ad4571","url":null,"abstract":"Understanding surface topography is vital for optimizing the performance of engineering components. Featured surfaces, with distinct patterns and textures, have garnered attention for their potential to reduce friction and wear. However, accurately describing their topography poses challenges, necessitating effective segmentation methods in many applications. This paper proposes utilizing the Gaussian Mixture Model (GMM) clustering method as a novel approach for surface metrology analysis of featured surfaces. The GMM provides an approach to identify and analyze specific surface features and enhance comprehension of their contributions to functionality. The paper presents a comprehensive methodology involving surface characterization, GMM clustering, plateau reference plane location, and calculation of essential topography parameters. Results from four different surfaces are discussed, demonstrating the effectiveness of the proposed GMM-based methodology in segmenting plateau regions, grooves, and porosity.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"33 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141770627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-07-10DOI: 10.1088/2051-672x/ad5e9e
Dorothee Hüser, Jörg Seewig, Raimund Volk, Arne Deppe, Eduard Kustan, Frank Depiereux, Maik Meyer, Nils Koppert, Arnim Weidner, Stefan Feifel, Alexander Müller, Florian Schwarzer, Shaojun Xiao, Matthias Lehmann and Wilhelm Blumenschein
The surface texture is an important feature of machine parts for any kind of contact. The quantification of its properties has been a well-established area in quality assurance for many decades. With the increasing demand for precision and interchangeability in the globalised marketplace, the results of surface analysis must be unambiguous and reliable. This is why the International Standardization's Technical Committee on Geometric Product Specification has updated its standards. Consequently, instrument manufacturers and calibration laboratories need to ensure that their analysis software complies with the new ISO standards. An intercomparison has therefore been carried out to validate surface texture analysis software. Over the past two decades, a number of tests have been conducted on surface texture measurement and analysis methods, including issues of instrument response, discretisation and quantisation. This article examines the numerical and computational aspects of analysis algorithms that process data sets of discrete values of finite floating-point precision as input. The method of testing texture analysis algorithms utilising software measurement standards (softgauges) and the specification of the test tasks are explained. The results of the comparison are presented and discussed.
表面纹理是机械零件在任何接触情况下的重要特征。几十年来，对其特性进行量化一直是质量保证的一个成熟领域。随着全球化市场对精度和互换性的要求越来越高，表面分析的结果必须明确可靠。这就是国际标准化组织几何产品规格技术委员会更新其标准的原因。因此，仪器制造商和校准实验室需要确保其分析软件符合新的 ISO 标准。因此，为验证表面纹理分析软件，进行了一次相互比较。在过去二十年中，对表面纹理测量和分析方法进行了大量测试，包括仪器响应、离散化和量化等问题。本文研究了处理有限浮点精度离散值数据集作为输入的分析算法的数值和计算方面。文章解释了利用软件测量标准（软测量仪）测试纹理分析算法的方法以及测试任务的规格。并介绍和讨论了比较结果。
{"title":"Intercomparison to validate implementations of different laboratories of algorithms for the analysis of surface texture","authors":"Dorothee Hüser, Jörg Seewig, Raimund Volk, Arne Deppe, Eduard Kustan, Frank Depiereux, Maik Meyer, Nils Koppert, Arnim Weidner, Stefan Feifel, Alexander Müller, Florian Schwarzer, Shaojun Xiao, Matthias Lehmann and Wilhelm Blumenschein","doi":"10.1088/2051-672x/ad5e9e","DOIUrl":"https://doi.org/10.1088/2051-672x/ad5e9e","url":null,"abstract":"The surface texture is an important feature of machine parts for any kind of contact. The quantification of its properties has been a well-established area in quality assurance for many decades. With the increasing demand for precision and interchangeability in the globalised marketplace, the results of surface analysis must be unambiguous and reliable. This is why the International Standardization's Technical Committee on Geometric Product Specification has updated its standards. Consequently, instrument manufacturers and calibration laboratories need to ensure that their analysis software complies with the new ISO standards. An intercomparison has therefore been carried out to validate surface texture analysis software. Over the past two decades, a number of tests have been conducted on surface texture measurement and analysis methods, including issues of instrument response, discretisation and quantisation. This article examines the numerical and computational aspects of analysis algorithms that process data sets of discrete values of finite floating-point precision as input. The method of testing texture analysis algorithms utilising software measurement standards (softgauges) and the specification of the test tasks are explained. The results of the comparison are presented and discussed.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"19 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141614843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-07-08DOI: 10.1088/2051-672x/ad5a29
M Eifler, J Hering-Stratemeier, G von Freymann, C A Brown, J Seewig
With the metrological characteristics, an effective framework for the calibration, adjustment, performance specification and verification of areal surface topography measuring instruments has been introduced. The characteristics have been thoroughly researched and analyzed for their different applications. Each characteristic provides specific information for a certain axis or feature of the measuring instrument. This enables an uncertainty estimation and a comparability of different measuring instruments. In this study, the comparison results of metrological characteristics are correlated with information obtained from multiscale analysis. With this examination it can be shown that both, metrological characteristics and multiscale analysis include significant information about transfer behaviors of surface structures, which can be applied advantageously for a calibration, performance verification and uncertainty determination of areal surface topography measuring instruments.
{"title":"Correlational study of multiscale analysis and the metrological characteristics of areal surface topography measuring instruments","authors":"M Eifler, J Hering-Stratemeier, G von Freymann, C A Brown, J Seewig","doi":"10.1088/2051-672x/ad5a29","DOIUrl":"https://doi.org/10.1088/2051-672x/ad5a29","url":null,"abstract":"With the metrological characteristics, an effective framework for the calibration, adjustment, performance specification and verification of areal surface topography measuring instruments has been introduced. The characteristics have been thoroughly researched and analyzed for their different applications. Each characteristic provides specific information for a certain axis or feature of the measuring instrument. This enables an uncertainty estimation and a comparability of different measuring instruments. In this study, the comparison results of metrological characteristics are correlated with information obtained from multiscale analysis. With this examination it can be shown that both, metrological characteristics and multiscale analysis include significant information about transfer behaviors of surface structures, which can be applied advantageously for a calibration, performance verification and uncertainty determination of areal surface topography measuring instruments.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"87 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141572889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-07-03DOI: 10.1088/2051-672x/ad5b0c
Sai Sujith K, S Ravi and Vinod B
Friction Stir Welding (FSW) is an emerging solid-state welding process that joins dissimilar or similar metals based on requirements. The additional material to make the joint is also a weight reduction factor deemed vital in weight-sensitive industries like aerospace and orthopedic applications. The similar and dissimilar Ti-6Al-3Nb-2Zr-1Mo (Ti6321) and stainless steel (SS 310) joints are performed through friction stir welding. This investigation aims to identify the effect of process parameters on the mechanical behavior and microstructural characteristics of the FSW joints. Five plates are chosen; three are FSW joints, and two are kept in the original base material. In all five plates, tensile, microhardness, and wear tests are performed, including an analysis of grain size. It is observed that the similar Ti6321 joint with a 6 mm pin diameter, 60 mm transverse speed, 900 mm rotational speed, and a constant axial force of 1 KN exhibits a maximum microhardness of 362 HV and a tensile strength of 927 MPa when compared to other joints. The tribological properties are identified as varying load (10–50 N), sliding speed (1–5 m s−1), and a constant sliding distance (1000 m) on pin-on-disc apparatus. It reveals that welding parameters and tool diameter influence tribological characteristics. The surface morphology carried out by FE-SEM revealed that the HAZ is composed of acicular α. The increase in microhardness is higher in WC than in BM due to the uniform distribution of particles. The chemical composition and phases are analyzed using XRD.
{"title":"Tribological and mechanical properties of FSW joints of untainted stainless steel and titanium: novel characterization of similar and dissimilar joints","authors":"Sai Sujith K, S Ravi and Vinod B","doi":"10.1088/2051-672x/ad5b0c","DOIUrl":"https://doi.org/10.1088/2051-672x/ad5b0c","url":null,"abstract":"Friction Stir Welding (FSW) is an emerging solid-state welding process that joins dissimilar or similar metals based on requirements. The additional material to make the joint is also a weight reduction factor deemed vital in weight-sensitive industries like aerospace and orthopedic applications. The similar and dissimilar Ti-6Al-3Nb-2Zr-1Mo (Ti6321) and stainless steel (SS 310) joints are performed through friction stir welding. This investigation aims to identify the effect of process parameters on the mechanical behavior and microstructural characteristics of the FSW joints. Five plates are chosen; three are FSW joints, and two are kept in the original base material. In all five plates, tensile, microhardness, and wear tests are performed, including an analysis of grain size. It is observed that the similar Ti6321 joint with a 6 mm pin diameter, 60 mm transverse speed, 900 mm rotational speed, and a constant axial force of 1 KN exhibits a maximum microhardness of 362 HV and a tensile strength of 927 MPa when compared to other joints. The tribological properties are identified as varying load (10–50 N), sliding speed (1–5 m s−1), and a constant sliding distance (1000 m) on pin-on-disc apparatus. It reveals that welding parameters and tool diameter influence tribological characteristics. The surface morphology carried out by FE-SEM revealed that the HAZ is composed of acicular α. The increase in microhardness is higher in WC than in BM due to the uniform distribution of particles. The chemical composition and phases are analyzed using XRD.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"33 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141548653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-07-02DOI: 10.1088/2051-672x/ad5b0d
Nikhil Bharat, P S C Bose, Nandini Trivedi, C K Sumesh and Katika Hari Krishna
The objective of this study is to assess how AA7178 matrix-based nanocomposites’ microstructure and corrosion properties are affected by the addition of nano TiO2 particles. The AA7178 alloy reinforced TiO2 composites were manufactured via stir-casting, with the TiO2 reinforcement levels ranging from 0% to 3% by 1% increments. A uniform distribution of TiO2 nanoparticles(2 wt%) over the Al matrix was shown by scanning electron microscopy analysis. The electrochemical behaviour of the base alloy matrix and surface composites was thoroughly investigated in a solution containing 3.5% sodium chloride utilizing open-circuit potential (OCP), potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS). Research using polarization and EIS showed that the nanocomposites were more resistant to corrosion than the matrix alloy. Subsequent examination indicated that the increased resistance to corrosion observed in the composites containing TiO2 particles might be a result of electrochemical decoupling between the AA7178 matrix alloy and the TiO2 particles. In order to stop the corrosion from spreading, this decoupling action is vital since it protects the TiO2 particles from the matrix alloy. The composite material AA7178/2 wt% TiO2 showed the best corrosion resistance, with ideal values for potential corrosion (−0.20622 V) and current density corrosion (0.00344 mA cm−2). The main causes of corrosion were shown to be pitting and cracking by scanning electron microscopy (SEM) study, highlighting the usefulness of TiO2 in reducing these negative impacts. This work illuminates the corrosion behaviour of AA7178/TiO2 nanocomposites and emphasizes the importance of electrochemical decoupling in improving the corrosion resistance of advanced materials.
{"title":"Corrosion behavior analysis and characterization of AA7178 matrix alloy reinforced with nano TiO2 particles","authors":"Nikhil Bharat, P S C Bose, Nandini Trivedi, C K Sumesh and Katika Hari Krishna","doi":"10.1088/2051-672x/ad5b0d","DOIUrl":"https://doi.org/10.1088/2051-672x/ad5b0d","url":null,"abstract":"The objective of this study is to assess how AA7178 matrix-based nanocomposites’ microstructure and corrosion properties are affected by the addition of nano TiO2 particles. The AA7178 alloy reinforced TiO2 composites were manufactured via stir-casting, with the TiO2 reinforcement levels ranging from 0% to 3% by 1% increments. A uniform distribution of TiO2 nanoparticles(2 wt%) over the Al matrix was shown by scanning electron microscopy analysis. The electrochemical behaviour of the base alloy matrix and surface composites was thoroughly investigated in a solution containing 3.5% sodium chloride utilizing open-circuit potential (OCP), potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS). Research using polarization and EIS showed that the nanocomposites were more resistant to corrosion than the matrix alloy. Subsequent examination indicated that the increased resistance to corrosion observed in the composites containing TiO2 particles might be a result of electrochemical decoupling between the AA7178 matrix alloy and the TiO2 particles. In order to stop the corrosion from spreading, this decoupling action is vital since it protects the TiO2 particles from the matrix alloy. The composite material AA7178/2 wt% TiO2 showed the best corrosion resistance, with ideal values for potential corrosion (−0.20622 V) and current density corrosion (0.00344 mA cm−2). The main causes of corrosion were shown to be pitting and cracking by scanning electron microscopy (SEM) study, highlighting the usefulness of TiO2 in reducing these negative impacts. This work illuminates the corrosion behaviour of AA7178/TiO2 nanocomposites and emphasizes the importance of electrochemical decoupling in improving the corrosion resistance of advanced materials.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"66 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2024-07-02DOI: 10.1088/2051-672x/ad5b0b
Vivek Singh, Rajesh Kumar Sharma, Rakesh Sehgal and M F Wani
Single-layered TaN thin coatings were deposited on Ti6Al7Nb alloy substrates using reactive radiofrequency magnetron sputtering, with variations in target power. To assess the crystalline structure, chemical composition, and surface topography of these coatings, Grazing Incidence x-ray Diffraction (GIXRD), Energy Dispersive Spectroscopy (EDS), and Scanning Probe Microscopy (SPM) were employed, respectively. The study revealed that deposition power impacts the structure and composition of TaN coatings. Further analysis using x-ray Photoelectron Spectroscopy (XPS) indicated that the TaN coatings predominantly consisted of Ta and N, with trace amounts of oxygen (O 1s). Additionally, nanomechanical testing was conducted to evaluate hardness (H), modulus (E), and scratch properties. Results suggested that multiphase hex-TaN coatings exhibited superior H, E, and scratch properties compared to other cubic-structured TaN coatings. Friction and wear properties against steel balls under dry sliding conditions were determined using a ball-on-disk nanotribometer. The findings showed that mix-phase TaN coating exhibited a minimum coefficient of friction of 0.054 and a wear rate of 2.14 × 10−6 mm3/N.m. Abrasion, ploughing and oxidation were identified as the primary wear mechanism responsible for the wear of the TaN coatings.
利用反应射频磁控溅射技术在 Ti6Al7Nb 合金基底上沉积了单层 TaN 薄膜，靶材功率随之变化。为了评估这些涂层的晶体结构、化学成分和表面形貌，分别采用了掠入射 X 射线衍射 (GIXRD)、能量色散光谱 (EDS) 和扫描探针显微镜 (SPM)。研究结果表明，沉积功率会影响 TaN 涂层的结构和成分。使用 X 射线光电子能谱（XPS）进行的进一步分析表明，TaN 涂层主要由 Ta 和 N 组成，并含有微量的氧（O 1s）。此外，还进行了纳米力学测试，以评估硬度（H）、模量（E）和划痕特性。结果表明，与其他立方结构的钽涂层相比，多相六方钽涂层具有更优越的 H、E 和划痕性能。使用球盘纳米测距仪测定了干滑动条件下钢球的摩擦和磨损特性。研究结果表明，混合相 TaN 涂层的最小摩擦系数为 0.054，磨损率为 2.14 × 10-6 mm3/N.m。
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