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Mineralogy and carbothermal reduction behaviour of vanadium-bearing titaniferous magnetite ore in Eastern India

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International Journal of Minerals,Metallurgy and Materials 2013年第10期20卷 917-924页

作者： Saikat Samanta Manik Chandra Goswami Tapan Kumar Baidya siddhartha mukherjee Rajib Dey Department Metallurgical and Material Engineering Jadavpur University National Metallurgical Laboratory Department of Geological Sciences Jadavpur University

Vanadium-beaxing titaniferous magnetite bands hosted by Precambrian gabbro-norite-anorthositic rocks or their metamorphic equivalents were discovered in some parts of Eastern Indian Shield, containing 48%-49% Fe （total）, 10%-25% TiO2, and 0.3%-2.20% V2O5 by mass. Mineralogical and petrological study, composition, and characterization of the vanadium-bearing titaniferous magnetite ore were carried out by scanning electron microscopy-energy dispersive X-ray （SEM-EDX）, wave length X-ray florescence （WDXRF）, inductively coupled plasma-atomic emission spectroscopy （ICP-AES）, X-ray diffraction （XRD）, etc. Chemical beneficiation for valuable metals, such as Fe, Ti, andV, was performed by reduction roasting. The direct and indirect reduction were investigated by mixing the lump ore with solid activated charcoal in a closed reactor and purging the reducing gas mixture in standard reducibility index apparatus at different temperatures and time intervals. The reduction roasting parameters were optimized. Finally, the reduced samples were crushed and upgraded by magnetic separation. The results show that, the maximum mass fractions of magnetic and nonmagnetic parts achieved axe 69.36% and 30.64%, respectively, which contain 10.6% TiO2 and 0.84% V205 in the magnetic part and 36.5% TiO2 and 0.22% V205 in the nonmagnetic part.

关键词： magnetite mineralogy carbothermal reduction beneficiation vanadium

Microbial leaching of chromite overburden from Sukinda mines,Orissa,India using Aspergillus niger

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International Journal of Minerals,Metallurgy and Materials 2013年第8期20卷 705-712页

作者： Supratim Biswas Saikat Samanta Rajib Dey siddhartha mukherjee Pataki C.Banerjee Department of Metallurgical and Material Engineering Jadavpur UniversityKolkata-700032India School of Materials Science and Nanotechnology Jadavpur UniversityKolkata-700032India

Leaching of nickel and cobalt from two physical grades （S1, 125-190 μm, coarser and S3, 53-75 μm, finer） of chromite overburden was achieved by treating the overburden （2% pulp density） with 21-d culture filtrate of an Aspergillus niger strain grown in sucrose medium. Metal dissolution increases with ore roasting at 600℃ and decreasing particle size due to the alteration of microstructural properties involving the conversion of goethite to hematite and the increase in surface area and porosity as evident from X-ray diffraction （XRD）, thermogravimetry-differential thermal analysis （DT- TGA）, and field emission scanning electron microscopy （FESEM）. About 65% Ni and 59% Co were recovered from the roasted S3 ore employing bioleaching against 26.87% Ni and 31.3% Co using an equivalent amount of synthetic oxalic acid under identical conditions. The results suggest that other fungal metabolites in the culture filtrate played a positive role in the bioleaching process, making it an efficient green approach in Ni and Co recovery from lateritic chromite overburden.

关键词： nickeliferous laterite bioleaching Aspergillus niger chromite nickel metallurgy cobalt metallurgy

Automatic area estimation of algal blooms in water bodies from UAV images using texture analysis

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Water Science and Engineering 2024年第1期17卷 62-71页

作者： Ajmeria Rahul Gundu Lokesh siddhartha Goswami R.N.Ponnalagu Radhika Sudha Department of Electrical and Electronics Engineering Birla Institute of Technology&SciencePilani Hyderabad CampusTelangana 500078India

Algal blooms,the spread of algae on the surface of water bodies,have adverse effects not only on aquatic ecosystems but also on human *** adverse effects of harmful algal blooms(HABs)necessitate a convenient solution for detection and *** aerial vehicles(UAVs)have recently emerged as a tool for algal bloom detection,efficiently providing on-demand images at high spatiotemporal *** study developed an image processing method for algal bloom area estimation from the aerial images(obtained from the internet)captured using *** a remote sensing method of HAB detection,analysis,and monitoring,a combination of histogram and texture analyses was used to efficiently estimate the area of *** features like entropy(using the Kullback-Leibler method)were emphasized with the aid of a gray-level co-occurrence *** results showed that the orthogonal images demonstrated fewer errors,and the morphological filter best detected algal blooms in real time,with a precision of 80%.This study provided efficient image processing approaches using on-board UAVs for HAB monitoring.

关键词： Algal bloom Image processing Texture analysis Histogram analysis Unmanned aerial vehicles

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基因传

作者： (美)悉达多·穆克吉(siddhartha mukherjee)

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基于ANSYS的概率有限元分析

钢结构(中英文) 2008年第12期 81-82页

作者： Stefan Reh Jean-Daniel Beley siddhartha mukherjee Eng Hui Khor

受激烈的竞争所驱使,工业制造商们处于一个持续增长的压力当中,即在产品日趋复杂化的今天,他们还需要保持技术和利益的最优化。此外,产品的随机性和不确定性也是一个挑战。因此,需要概率工具来为这些挑战寻找一个平衡。ANSYS公司开发了... 详细信息

受激烈的竞争所驱使,工业制造商们处于一个持续增长的压力当中,即在产品日趋复杂化的今天,他们还需要保持技术和利益的最优化。此外,产品的随机性和不确定性也是一个挑战。因此,需要概率工具来为这些挑战寻找一个平衡。ANSYS公司开发了两个工具,分别是ANSYS概率设计系统和ANSYS Design Xplorer。本文介绍了这些软件的运算法则和方法原理,并特别对软件中提供的变分法提出讨论和解释。变分法是一种非常有效的方法,可以基于单个有限元分析,提供准确、高阶的反应面。本文还讨论了此法的功能和优缺点以及通过并行计算减少程序运行时间的可能性。强调了评估结果准确性和有效性的各种方法、程序对结果进行后处理的多种功能、对多种或可能冲突的目标进行优化的方法和功能。最后,运用各种工程实例说明了软件的应用过程。

关键词：不确定性可靠性 6Sigma设计基于可靠性的最优化加固设计

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《众病之王:癌症传》

科学新闻 2015年第14期 10-10页

作者： siddhartha mukherjee

内容简介数千年来,癌与人类如影随形,全球每年约800万人死于癌症。我国居民一生罹患癌症概率为22%,因癌症死亡率为13%。每年新发肿瘤病例约312万例,死亡病例达270万例。面对癌症,没人能轻言治愈。为了能追上这种疾病的步伐,人类一而再... 详细信息

内容简介数千年来,癌与人类如影随形,全球每年约800万人死于癌症。我国居民一生罹患癌症概率为22%,因癌症死亡率为13%。每年新发肿瘤病例约312万例,死亡病例达270万例。面对癌症,没人能轻言治愈。为了能追上这种疾病的步伐,人类一而再、再而三地创造、学习新知识,扬弃旧

关键词：癌症读者人类

Stand structure and species diversity regulate biomass carbon stock under major Central Himalayan forest types of India

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Ecological Processes 2021年第1期10卷 195-212页

作者： siddhartha Kaushal Ratul Baishya Ecology&Ecosystem Research Laboratory Department of BotanyUniversity of DelhiDelhi 110007India

Background:Data on the impact of species diversity on biomass in the Central Himalayas,along with stand structural attributes is sparse and ***,few studies in the region have related population structure and the influence of large trees on *** data is crucial for maintaining Himalayan biodiversity and carbon ***,we investigated these relationships in major Central Himalayan forest types using nondestructive methodologies to determine key factors and underlying ***:Tropical Shorea robusta dominant forest has the highest total biomass density(1280.79 Mg ha^(−1))and total carbon density(577.77 Mg C ha^(−1))along with the highest total species richness(21 species).The stem density ranged between 153 and 457 trees ha^(−1) with large trees(>70 cm diameter)contributing 0–22%.Conifer dominant forest types had higher median diameter and Cedrus deodara forest had the highest growing stock(718.87 m^(3) ha^(−1));furthermore,*** contributed maximally toward total carbon density(14.6%)among all the 53 species *** semecarpifolia–Rhododendron arboreum association forest had the highest total basal area(94.75 m^(2) ha^(−1)).We found large trees to contribute up to 65%of the growing *** percent of the species contributed more than 50%of the carbon *** dominance regulated the growing stock significantly(R^(2)=0.707,p<0.001).Temperate forest types had heterogeneous biomass distribution within the forest *** found total basal area,large tree density,maximum diameter,species richness,and species diversity as the predominant variables with a significant positive influence on biomass carbon *** structural attributes and diversity influenced the ordination of study sites under PCA *** showed no significant correlation with either biomass or species diversity ***:The results suggest biomass hyperdominance with both selection effects and niche complementarit

关键词： Biomass hyperdominance Elevational gradient Growing stock Large trees Carbon allocation Forest management

Relationship between the microstructure and properties of thermomechanically processed Fe-17Mn and Fe-17Mn-3Al steels

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International Journal of Minerals,Metallurgy and Materials 2019年第1期26卷 64-75页

作者： Renuprava Dalai siddhartha Das Karabi Das Department of Metallurgical and Materials Engineering Indian Institute of Technology

Two austenitic Mn steels(Fe-17 Mn and Fe-17 Mn-3 Al(wt%, so as the follows)) were subjected to thermomechanical processing(TMP) consisting of forging followed by solutionization and hot rolling. The rolled samples were annealed at 650 and 800°C to relieve the internal stress and to induce recrystallization. The application of TMP and heat treatment to the Fe-17 Mn/Fe-17 Mn-3 Al steels refined the austenite grain size from 169 μm in the as-solutionized state to 9–13 μm, resulting in a substantial increase in hardness from HV 213 to HV 410 for the Fe-17 Mn steel and from HV 210 to HV 387 for the Fe-17 Mn-3 Al steel. The elastic modulus values, as evaluated by the nanoindentation technique, increased from(175 ± 11) to(220 ± 12) GPa and from(163 ± 15) to(205 ± 13) GPa for the Fe-17 Mn and Fe-17 Mn-3 Al steels, respectively. The impact energy of the thermomechanically processed austenitic Mn steels was lower than that of the steels in their as-solutionized state. The addition of Al to the Fe-17 Mn steel decreased the hardness and elastic modulus but increased the impact energy.

关键词： austenitic manganese steel(AMS) thermomechanical processing(TMP) microstructure property hardness elastic modulus

Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework

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International Journal of Automation and computing 2021年第6期18卷 981-992页

作者： Amlan Jyoti Baruah siddhartha Baruah Department of Computer Science and Engineering Assam Kaziranga UniversityJorhat 785006India Department of Computer Application Jorhat Engineering CollegeJorhat 785007India

The main aim of an educational institute is to offer high-quality education to students. The system to achieve better quality in the educational system is to find the knowledge from educational data and to discover the attributes that manipulate the performance of students. Student performance prediction is a major issue in education and training, specifically in the educational data mining system. This research presents the student performance prediction approach with the MapReduce framework based on the proposed fractional competitive multi-verse optimization-based deep neuro-fuzzy network. The proposed fractional competitive multi-verse optimization-based deep neuro-fuzzy network is derived by integrating fractional calculus with competitive multi-verse optimization. The MapReduce framework is designed with the mapper and the reducer phase to perform the student performance prediction mechanism with the deep learning classifier. The input data is partitioned at the mapper phase to perform the data transformation process, and thereby the features are selected using the distance measure. The selected unique features are employed for the data segmentation process, and thereafter the prediction strategy is accomplished at the reducer phase by the deep neuro-fuzzy network classifier. The proposed method obtained the performance in terms of mean square error, root mean square error and mean absolute error with the values of 0.338 3, 0.581 7, and 0.391 5, respectively.

关键词： Educational data mining(EDA) MapReduce framework deep neuro-fuzzy network student performance data augmentation