• Title/Summary/Keyword: stone nano-powder

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Predicting the splitting tensile strength of manufactured-sand concrete containing stone nano-powder through advanced machine learning techniques

  • Manish Kewalramani;Hanan Samadi;Adil Hussein Mohammed;Arsalan Mahmoodzadeh;Ibrahim Albaijan;Hawkar Hashim Ibrahim;Saleh Alsulamy
    • Advances in nano research
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    • v.16 no.4
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    • pp.375-394
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    • 2024
  • The extensive utilization of concrete has given rise to environmental concerns, specifically concerning the depletion of river sand. To address this issue, waste deposits can provide manufactured-sand (MS) as a substitute for river sand. The objective of this study is to explore the application of machine learning techniques to facilitate the production of manufactured-sand concrete (MSC) containing stone nano-powder through estimating the splitting tensile strength (STS) containing compressive strength of cement (CSC), tensile strength of cement (TSC), curing age (CA), maximum size of the crushed stone (Dmax), stone nano-powder content (SNC), fineness modulus of sand (FMS), water to cement ratio (W/C), sand ratio (SR), and slump (S). To achieve this goal, a total of 310 data points, encompassing nine influential factors affecting the mechanical properties of MSC, are collected through laboratory tests. Subsequently, the gathered dataset is divided into two subsets, one for training and the other for testing; comprising 90% (280 samples) and 10% (30 samples) of the total data, respectively. By employing the generated dataset, novel models were developed for evaluating the STS of MSC in relation to the nine input features. The analysis results revealed significant correlations between the CSC and the curing age CA with STS. Moreover, when delving into sensitivity analysis using an empirical model, it becomes apparent that parameters such as the FMS and the W/C exert minimal influence on the STS. We employed various loss functions to gauge the effectiveness and precision of our methodologies. Impressively, the outcomes of our devised models exhibited commendable accuracy and reliability, with all models displaying an R-squared value surpassing 0.75 and loss function values approaching insignificance. To further refine the estimation of STS for engineering endeavors, we also developed a user-friendly graphical interface for our machine learning models. These proposed models present a practical alternative to laborious, expensive, and complex laboratory techniques, thereby simplifying the production of mortar specimens.

Machine learning-based techniques to facilitate the production of stone nano powder-reinforced manufactured-sand concrete

  • Zanyu Huang;Qiuyue Han;Adil Hussein Mohammed;Arsalan Mahmoodzadeh;Nejib Ghazouani;Shtwai Alsubai;Abed Alanazi;Abdullah Alqahtani
    • Advances in nano research
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    • v.15 no.6
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    • pp.533-539
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    • 2023
  • This study aims to examine four machine learning (ML)-based models for their potential to estimate the splitting tensile strength (STS) of manufactured sand concrete (MSC). The ML models were trained and tested based on 310 experimental data points. Stone nanopowder content (SNPC), curing age (CA), and water-to-cement (W/C) ratio were also studied for their impacts on the STS of MSC. According to the results, the support vector regression (SVR) model had the highest correlation with experimental data. Still, all of the optimized ML models showed promise in estimating the STS of MSC. Both ML and laboratory results showed that MSC with 10% SNPC improved the STS of MSC.

The Preparation of Non-Contaminated Silicone Sealant for Stone Panel (은나노 석재용 비오염성 실리콘 실란트 제조개발)

  • Chun, Yong-Jin;Jung, Kyeong-Han
    • Proceedings of the KAIS Fall Conference
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    • 2007.11a
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    • pp.341-343
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    • 2007
  • 본 연구개발에서는 은나노를 포함한 비오염성 석재용 실리콘 실란트를 제조하였다. 기본적인 실리콘 실란트 Formulation에 오일에 의한 오염성을 최소화하기 위해 편말단 폴리머를 사용하였다. 폴리머 가교를 통해 접착성과 작업성 등의 물성을 향상시켰으며, 나노크기의 은 powder를 사용하여 항균성을 부여하였다. 가장 큰 관건은 nano size의 은을 가장 균일하게 실란트에 분산시키는 것이 실란트 제품화의 주요 기술이었다.

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Evaluation of Thermal Conductivity of Porous TiO2-SiO2-Base Thermal Insulation (다공성 TiO2-SiO2 복합 단열재의 열전도율 평가)

  • Choi, Byugchul;Kim, Jon-Ho;Kim, Jon Beom;Jung, Woonam;Lee, Sang-Hyun
    • Journal of Institute of Convergence Technology
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    • v.8 no.1
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    • pp.21-25
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    • 2018
  • We developed nano-porous $TiO_2-SiO_2$ composites (commercial name : PTI, porous titania insulator) with low thermal conductivity as thermal insulating material as well as function of photocatalyst. The objectives of this paper are, firstly, to evaluate of the thermal conductivity of the PTI powder in the temperature range from -160 to $250^{\circ}C$, secondly to evaluate of thermal conductivities of insulation materials that is applied PTI powder. The structure of the PTI powder that has the pores size of 20-30 nm and the particle diameter of 2-10 nm. The PTI had a high surface area of $400m^2/g$ and a mean pore size of $45{\AA}$, which was fairly uniform. The thermal conductivity was measured by GHP(guarded hot plate) method and HFM(heat flux method). The PTI structure is a three-dimensional network nano-structures composed by a pearl-necklace that involved a precious stone in the center of the necklace. The thermal conductivities of PTI-PX powder by the GHP and HFM were 0.0366 W/m.K, 0.0314 W/m.K at $20^{\circ}C$, respectively. This is similar to values that are proportional to the square of the absolute temperature of the thermal conductivity of static air. The thermal conductivities of insulating sheets coated with PTI powder were similar results with that of the PTI powder.

Production of Single Core with Waste Zirconia Block (지르코니아 블록 폐기물을 이용한 싱글코어의 제조법)

  • Jo, Jun-Ho;Seo, Jeong-Il;Bae, Won-Tae
    • Journal of Technologic Dentistry
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    • v.35 no.1
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    • pp.57-64
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    • 2013
  • Purpose: Waste parts of zirconia blocks and powders were remained after CAD/CAM process. In order to make these residual zirconia fit for practical use, zirconia single cores were produced by drain casting process. Methods: Remained zirconia blocks were reduced to powders with zirconia mortar, and screened with 180 mesh sieve. Zirconia slip was prepared from waste parts of zirconia by ball milling. Plaster molds for forming cores by slip casting were also prepared. Formed cores were removed from mold after partial drying. Dried cores were biscuit fired at $1,100^{\circ}C$ for 1hour. Biscuit fired cores were treated with tools to control the fitness and thickness. Finished cores were $2^{nd}$ fired at $1,500^{\circ}C$ for 1hour. Microstructure of cross section of core was observed by SEM. Results: When mill pot was filled with 100g of zirconia and alumina mixed powder, 300g of zirconia ball, and 180g of distilled water, the optimum slip for drain casting was obtained. Gypsum plaster for ceramic forming was more suitable then yellow stone plaster for casting process. SEM photograph showed the microstructure of fully dense with uniform grain size of zirconia and well dispersed alumina grains into the zirconia matrix. Conclusion: Zirconia single cores were produced by drain casting process. Drain casting is useful process to make these residual zirconia fit for practical use. Further study will be focused on the preparation of the bridge type cores by casting.