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نتیجه جستجو - سنگ معدن

تعداد مقالات یافته شده: 7
ردیف عنوان نوع
1 Towards resilient and sustainable supply of critical elements from the copper supply chain: A review
به سمت تأمین انعطاف پذیر و پایدار عناصر حیاتی از زنجیره تامین مس: یک مرور-2021
The highly specialized materials needed for the de-carbonization of energy, smart devices and the internet of things have created supply concerns of critical elements used in these applications. Several critical elements are produced as by-products from base metal mining and processing. Increasing the capture of critical elements from existing operations should lead to a more resilient and sustainable supply of these elements. Towards this goal, this paper presents a review of the distribution behavior of five critical elements (selenium, tellurium, arsenic, antimony and bismuth) through the primary copper pyrometallurgical supply chain. This review identifies gaps in the distribution/concentration data of these elements in deposits and during mineral processing. Smelter dusts, refinery slimes and electrolyte are points of enrichment that can be targeted for additional recovery of these elements. Using published data, copper smelter dusts appear to contain enough arsenic and bismuth to meet the world’s supply needs. Industrial data collected from 29 refineries and represents ~46% of the worlds electrorefining production was extrapolated to examine the contained annual content of these five elements. Copper anodes contain 7900 tones/yr of selenium, 2300 tonnes/yr of tellurium, 24,000 tones/yr arsenic, 7100tonnes/yr of antimony and 5100 tones/yr of bismuth. The selenium and tellurium contents are 2–3 times and 4–5 times more than the current world’s annual production of these elements, respectively. While technology development in the processing of smelter dusts and refinery slimes could provide important breakthroughs, government and corporate collaboration are likely needed to encourage increased recovery of selenium, tellurium, arsenic, antimony and bismuth from the primary copper pyrometallurgical supply chain.
Keywords: Critical elements | Copper | Ore | Flotation | Smelting | Refining
مقاله انگلیسی
2 Economic feasibility valuing of deep mineral resources based on risk analysis: Songtao manganese ore - China case study
ارزیابی امکان سنجی اقتصادی منابع معدنی عمیق بر اساس ریسک تجزیه و تحلیل: سنگ معدن منگنز Songtao - مطالعه موردی چین-2020
The exploitation of deep mineral resources is an inevitable choice under economic development and resource shortage. Assessing the economic feasibility of deep mineral resource exploit projects is a prerequisite for resource industry development. Mining industry have some problems influence its economic feasibility, including long mining period, high infrastructure investment and lack flexibility, and have risks of geology instability and economic reserve degrade. On the other hand, with the increase of the buried depth of mineral resources, some problems have intensified the uncertainty of the profit of deep resource utilization project, such as high stress, high lithology, high temperature environment, and increase of upgrading cost. Net Present Value (NPV) and Internal Rate of Return (IRR) are traditional economic evaluation means which difficult to identify and assess risks precisely. Decoupled Net Present Value (DNPV) provides an efficiency tool to separate the time value and risk cost which is helpful to finds the real value of projects. A manganese mining project which is located Guizhou province, China is analyzed, paper choices several mainly risks of influence expected revenue to analysis project feasibility based on the DNPV technology, which includes the thickness of ore body, ore grade, market price, operation cost and nature disaster. The cost of potential environmental risk (carbon emission cost) also is analyzed. Paper constructs a risk management framework by risk identify, assess and classification, and analyzes the corresponding measures to reduce risk costs. The mainly risk cost of study case from market price shock and unexpected ore grade decline, which accounting for 80% of the total risk cost. In the process of deep mineral resources exploit, effective cost control measures can reduce the risk cost to a certain extent, including improving productivity, reducing unit cost of ore, improving mine sustainability and exploration accuracy. Green mineral construction is a feasible direction of deep resource utilization. For improve the accuracy of economic feasibility evaluation of deep mineral resources utilization, further improvement is needed in the selection and construction of different risk assessment model.
Keywords: Deep mining | Risk value assess | DNPV | Risk management | Songtao manganese
مقاله انگلیسی
3 Mineral grains recognition using computer vision and machine learning
شناخت دانه های معدنی با استفاده از بینایی ماشین و یادگیری ماشین-2019
Identifying and counting individual mineral grains composing sand is an important component of many studies in environment, engineering, mineral exploration, ore processing and the foundation of geometallurgy. Typically, silt (32–128 μm) and sand (128–1000 μm) sized grains will be characterized under an optical microscope or a scanning electron microscope. In both cases, it is a tedious and costly process. Therefore, in this paper, we introduce an original computational approach in order to automate mineral grains recognition from numerical images obtained with a simple optical microscope. To the best of our knowledge, it is the first time that the current computer vision based on machine learning algorithms is tested for the automated recognition of such mineral grains. In more details, this work uses the simple linear iterative clustering segmentation to generate superpixels and many of them allow isolating sand grains, which is not possible with classical segmentation methods. Also, the approach has been tested using convolutional neural networks (CNNs). However, CNNs did not give as good results as the superpixels method. The superpixels are also exploited to extract features related to a sand grain. These image characteristics form the raw dataset. Prior to proceed with the classification, a data cleaning stage is necessary to get a usable dataset for machine learning algorithms. In addition, we present a comparison of performances of several algorithms. The overall obtained results are approximately 90% and demonstrate the concept of mineral recognition from a sample of sand grains provided by a numerical image.
Keywords: Segmentation | Features | Machine learning | Ore | Sand grain | Recognition | Classification | Image processing
مقاله انگلیسی
4 Modern experience of low-coal seams underground mining in Ukraine
تجربه مدرن از رگه کم زغال سنگ معدن زیرزمینی در اوکراین-2018
Coal is the main energy resource in Ukraine. However geotechnological aspects of coal seams develop ment and Ukrainian crisis have a negative influence on the mining industry. This article analyzes the experience in the development of very low and low-coal seams with 0.7–1.0 m thickness, as well as advanced technological solutions that allowed private coal enterprises, despite the difficult situation in the country, to maintain sufficient (more than 75% of all production) level of steam coal extraction for Ukrainian society. Given that Ukrainian’s mining sector development is a huge task, we hope this review will add some discussions into the ongoing conversation.
Keywords: Coal ، Mining ، Mine ، Ukraine
مقاله انگلیسی
5 An integrated system of applying the use of Internet of Things, RFID and Cloud Computing: A case study of logistic management of Electricity Generation Authority of Thailand (EGAT) Mae Mao Lignite Coal Mining, Lampang, Thailand
یک سیستم یکپارچه برای استفاده از اینترنت اشیا، RFID و محاسبات ابری: مطالعه موردی مدیریت لجستیک اداره تولید برق تایلند (EGAT) معادن ذغال سنگ معدن منگن، لمپنگ، تایلند-2017
This research aims to find the best practice of logistic management for Electricity Generation Authority of Thailand (EGAT) Mae Mao Mining, Lampang. This research applied the use of RFID for lignite coal trucks and data from RFID proceed through a server and was stored into a private cloud computing. The equipment and tools used in research was a RFID reader, UHF passive RFID tags, Arduino Mega 2 5 6 0 + Ethernet Shield, PHP, Jason, Node.JS and Maria DB as a database system. The protocol used was MQTT. 27 trucks had UHF passive tags installed, 1 crusher (location number 3) had an RFID reader installed. This system has been operating 24 hours a day 7 days a week, from the beginning of 2015 to mid 2016. The results of the research show that officers who worked for related systems were satisfied. The system enhanced the best practice of lignite coal mining logistic in terms of information checking.
Keywords : logistic | RFID | iOT |Cloud Computing
مقاله انگلیسی
6 تجزیه بیولوژیکی ضایعات سیانیدی از صنایع معدنی و جواهر سازی
سال انتشار: 2016 - تعداد صفحات فایل pdf انگلیسی: 5 - تعداد صفحات فایل doc فارسی: 12
سیانید به عنوان یکی از مواد شیمیایی بسیار سمی شناخته شده که به طور گسترده ای در صنایع معدنی و جواهر سازی برای استخراج و بازیابی طلا از سنگ معدن خرد شده یا پس ماندهای آبکاری،استفاده شده است.سمیت سیانید به علت این که این ترکیب به شدت به فلزات متصل شده و متالوئن زیم هایی مانند Cytochrome Coxidase را غیر فعال می کند،صورت می گیرد.با وجود سمیت سیانید،میکروارگانیسم های سیانوتروپیک مانند alkaliphilic bacterium Pseudomonas pseudoalcaligenes CECT5344ممکن است از سیانید و مشتقات آن به عنوان منبعی از نیتروژن برای رشد استفاده کرده و تجزیه بیولوژیکی ضایعات صنعتی سیانودار شده را ممکن سازد.تکنیک های ژنومیک،رونویسی و پروتئومیک به کار رفته برای تجزیه بیولوژیکی سیانید،دیدگاه های جامعی را ایجاد کرده که بینش کلی را نسبت به زمینه ژنومیک میکروارگانیسم های سیانوترومپیک افزایش داده که می تواند برای تجزیه بیولوژیکی ضایعات صنعتی سیانودار شده و دیگر کاربردهای بیوتکنولوژی استفاده شود.
مقاله ترجمه شده
7 بازیابی پسماند واحد تصفیه آب برای تولید آجر خاکی- سیمانی
سال انتشار: 2015 - تعداد صفحات فایل pdf انگلیسی: 6 - تعداد صفحات فایل doc فارسی: 10
واحدهای تصفیه اب، مقادیر زیادی از لجن شهری را تولید میکنند که باید دور ریخته شود. یک مساله حیاتی یافتن یک مقصد اکولوژیکی برای دفع نهایی آن میباشد. در این کار امکان مشارکت دادن پسماند واحد تصفیه اب در ساختار اجرهای خاک- سیمان برای انجام ساخت و ساز شهری بررسی شده است. یک نمونه از مواد پسماند از نظر ترکیب شیمیایی، انکسار اشعه ایکس، اندازه ذرات و مواد آلی، آنالیز شد . مخلوطهای سیمان -خاک محتوی تا 5% وزنی از پسماند بعنوان جزئی از مولفه ی خاک پرس شد و بمدت 28 روز عمل اوری شد. اثرات مشارکت پسماند واحد تصفیه آب در ساخت آجرها، با ارزیابی خواص فیزیکی مختلف مانند مقاومت تراکمی، چگالی ظاهری، و جذب آب تحمین زده شد. نتایج نشان داد پسماند واحد تصفیه اب، یک ماده پلاستیک است که عمدتاً از ذرات سنگ معدنی kaolinite (کائولینیت) تشکیل شده است. همچنین نتایج نشان داد که پسماند واحد تصفیه اب میتواند برای تولید آجرهای خاکی- سیمانی استفاده شود، که به کاهش اثرات زیست محیطی واحدهای تصفیه آب کمک میکند.
کلمات کلیدی: تصفیه خانه فاضلاب | بازیافت | خاک-سیمان.
مقاله ترجمه شده
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