Journal articles: 'Blasting machine'

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Hou, Lin, Li Ying Yang, Ying Zi Wang, and Shou Ren Wang. "Kinematics Simulation Analysis of Shots in Shot Blasting Machine Based on EDEM." Applied Mechanics and Materials 121-126 (October 2011): 2071–74. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2071.

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A three-dimension discrete element model of the shot blasting machine has been established to study the principles of shots flow motion in shot blasting machine. The three-dimension discrete element method (EDEM) was used to analyse the shot-motion process inside the shot blasting machine. The dynamic law of shots motional process inside shot blasting machine was shown through simulation.

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Kang, Xue Jun, Bing Jie Zhao, and Bin Long. "Design of Sand-Blasting Lifting Equipment." Advanced Materials Research 1006-1007 (August 2014): 211–16. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.211.

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Due to pipe-laying process changed for Offshore Oil 201 pipelay vessel requires to place sand blasting machine equipment in suite place, to meet the sand-blasting machine to complete the process of laying pipe work cycle which demands for subsea pipelines sandblasting, then the sand-blasting lifting equipment was designed. The equipment consists of a hydraulic lifting platform system, rail trolley system and control system. The experiments showed that the sand-blasting lifting equipment could securely connect with sand-blasting machine, the sand-blasting machine could be lift fast, installation fast in the suite place, meeting the production requirements.

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Xue, Chuan, and Ying Hu. "The Small Road Surface Shot Blasting Cleaning Machine Design." Advanced Materials Research 1061-1062 (December 2014): 858–61. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.858.

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The design of a small road surface shot blasting cleaning machine, using the motor driven wheel blasting high-speed rotation, the pellet material (steel shot or sand) at high speed and certain Angle to throw, throw rock formed certain fan type flow, impact to the road to play the role of a blasting and removing the effect of the residue .Then, projectile and dust into the separator, separator will be tiny and dust separation, dust into the dust collector, and the projectile into the shot blasting machine to recycle. Complete road surface shot blasting cleaning machine of shot blasting machine, sand pill purification plant design. By using solid works 3D drawing software of 3D modeling and virtual assembly.

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MASE, KEIJI. "Trends of development in blasting machine." Journal of the Japan Society for Precision Engineering 52, no. 6 (1986): 972–74. http://dx.doi.org/10.2493/jjspe.52.972.

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Hao, Feng Shan, Gui Zhong Tian, and Tu Long Wang. "The Process Hypothesis and Feasibility Study on Drilling-Blasting Machine Method in Tunnel Excavation." Applied Mechanics and Materials 256-259 (December 2012): 1316–19. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.1316.

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This paper was based on many pre-existing or being successful tunnel projects for study. Through in-depth investigation and analysis of the action mechanism on rock and the construction control under complex geological conditions, the author synthesized the technical advantages of the drilling-blasting method and tunnel boring machine technology into integration as a new drilling-blasting machine method applied in tunnel (lane) excavation. If this method intended by conventional process, it’s difficult to realize mechanized continuous excavating. In this problem, the author put forward two new technologies named helicoid tunnel face and shallow blasthole close blasting to improve. Respectively from the theory, economic, technology and safety, the paper demonstrates the feasibility of drilling-blasting machine method.

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Chen, Cong Ping, and Zheng Huang. "Blasting Hole Recognition and Location Based on Machine Vision." Applied Mechanics and Materials 733 (February 2015): 718–21. http://dx.doi.org/10.4028/www.scientific.net/amm.733.718.

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In order to guide the manipulator putting explosive into the blasting hole automatically, a hole recognition and location method based on machine vision is presented. First, capture the target blasting hole pictures from two different directions by a camera mounted on the manipulator. Then, use binocular calibration method to get the hole position based on the camera coordinate. Finally, transform the camera coordinate system to the manipulator coordinate system, and then the target hole position is obtained. The experimental results show that this method has high detection accuracy and achieves a better blasting hole location.

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Fu, Ju Gen, Rui Xuan Luan, and Yan Ting Zhang. "Roadway Hard Rock Loose Blasting by Digging Machine Technique." Applied Mechanics and Materials 204-208 (October 2012): 1758–62. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.1758.

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Rock roadway digging machine is generally applicable to soft mudstone, sandy mudstone roadway. When it comes to the harder rock,, the speed of digging machine construction is greatly reduced, the tool were wear seriously, the service life is substantially reduced, the tunneling cost is dramatic increased. So we must use the loose secondary blasting, to soften rocks. According to the specific circumstances of the west lane in Liuzhuang Coalmine, and proposed coal mine loose blasting technique program in keeping with construction requirements after the study, that is reasonable blast-hole depth, hole parameters, charge amount, charge structure, stemming length. Research results have a good loose blasting effect in engineering practice.

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Zou, Baoping, Zhanyou Luo, Jianxiu Wang, and Lisheng Hu. "Development and Application of an Intelligent Evaluation and Control Platform for Tunnel Smooth Blasting." Geofluids 2021 (February 9, 2021): 1–15. http://dx.doi.org/10.1155/2021/6669794.

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Many tunnels around the world are still being constructed by drilling and blasting because these methods have an unmatched degree of flexibility relative to machine excavations using tunnel boring machines. At present, a large gap exists between evaluation theory and the control application of tunnel smooth blasting (TSB) quality. In this study, a handheld mobile platform that is based on the Android system and is written in the Java language is proposed to evaluate and control the performance of TSB. The function of this handheld mobile platform mainly includes data input, data modification, data deletion, weight setting for smooth blasting evaluation, smooth blasting quality assessment, and smooth blasting quality control. Using the proposed mobile platform, end users can evaluate and control TSB quality after each blast. The proposed handheld mobile platform is also applied to the real case history of line 6 in Guangzhou, China.

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Fuentes, M., F. Nava, and J. Soberano. "A blasting machine for deep seismic profiling." Bulletin of the Seismological Society of America 77, no. 1 (February 1, 1987): 277–79. http://dx.doi.org/10.1785/bssa0770010277.

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Wei, Hai Xia, and Jie Zhu. "Study on Application of Support Vector Machine to Prediction of Blasting Vibration Velocity." Applied Mechanics and Materials 71-78 (July 2011): 4155–59. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.4155.

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Based on the nonlinear regression theory of Support Vector Machine, SVM model was put forward to predict blasting vibration velocity by using monitoring data obtained in blasting site as training samples. By comparing the results of the two prediction models of the improved Sadaovsk and SVM, the feasibility of the new learning method of SVM model was verified, which will provide a new way to predict and control intensity of blasting vibration. The best way to select the parameters of SVM needs to be further explored.

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Wang, Xue Zheng, and Xiao Rui Song. "Optimization Design on the Processing Technic of Shot Blasting Machine Fender Apron." Advanced Materials Research 503-504 (April 2012): 1150–53. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1150.

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According to the use, design and research of shot blasting machine equipment for years, combined with the company's actual production, the processing technology of fender has been optimized is the wearing part of shot blasting machine in the casting room, the service life of fender have more than doubled in the original ones by the actual use proof, greatly reducing the replacement frequency of fender for the company to save a lot of money.

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Bhosale, Prof Shital, Akshay Shelke, Ayaj Shaikh, Rohit Chavan, and Kishor Savant. "Design and Analysis of Shot Blasting Machine Hanger." International Journal of Research in Advent Technology 7, no. 4 (April 10, 2019): 427–30. http://dx.doi.org/10.32622/ijrat.742019138.

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Xu, Shida, Yuanhui Li, Jianpo Liu, and Fengpeng Zhang. "Optimization of blasting parameters for an underground mine through prediction of blasting vibration." Journal of Vibration and Control 25, no. 9 (February 19, 2019): 1585–95. http://dx.doi.org/10.1177/1077546319829938.

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Drilling and blasting remains the primary method of rock fragmentation in metal mining. However, blasting vibration can adversely affect the stability of the rock. Therefore, prediction of blasting vibration is essential in the mining industry. This paper proposes a combination of principal component analysis (PCA) and support vector machine (SVM) model to predict blasting vibration. Here, PCA was used to simplify the inputs of the SVM. Relative location of the monitoring point to blasting source, total charge, maximum charge per delay, number of delays, burden, spacing, height, and horizontal distance were used as inputs of the combination model (PCA-SVM), while peak particle velocity was set as output. The PCA-SVM model was successfully employed to adjust blasting parameters of the No. 21 stope in Hongtoushan Copper Mine. Two blasting data sets were used to compare the capability of the PCA-SVM model with conventional predictors. The results prove the superiority of the PCA-SVM model in estimating blasting vibration.

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Kim, Min, and Sean Lee. "The Efficiency of Large Hole Boring (MSP) Method in the Reduction of Blast-Induced Vibration." Applied Sciences 11, no. 4 (February 18, 2021): 1814. http://dx.doi.org/10.3390/app11041814.

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Drill and blast is the most cost-effective excavation method for underground construction, however, vibration and noise, induced by blasting, have been consistently reported as problems. Cut blasting has been widely employed to reduce the blast-induced problems during underground excavation. We propose that the large hole boring method using the state-of-the-art MSP (Multi-setting smart-investigation of the ground and pre-large hole boring) machine (“MSP method”) can efficiently improve vibration reduction. The MSP machine will be used to create 382 mm diameter empty holes at the tunnel cut area for this purpose. This study assessed the efficiency of the MSP method in reducing blast-induced vibration in five blasting patterns using a cylinder-cut, which is a traditional cut blasting method. The controlled blasting patterns using the MSP method demonstrated up to 72% reduction in blast-induced vibration, compared to the base case, Pattern B, where only cylinder-cut and smooth blasting method were applied. Therefore, the MSP method proves to be a promising alternative for blasting in sensitive urban areas where non-vibration excavation techniques were initially considered. Geological characteristics of 50 m beyond the excavation face can be acquired through the proposed real-time boring data monitoring system together with a borehole alignment tracking and ground exploration system. The obtained geological information will be a great help in preparing alternative designs, and scheduling of construction equipment and labour during the tunnel construction.

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Long, Bin, De Yu Tang, Ke Kuan Wang, Ming Zhu Liu, and Bin Jie Zhao. "Research and Application of the Enviromental Automatic Sandblast Derusting Machine." Advanced Materials Research 538-541 (June 2012): 1262–66. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.1262.

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This article describes the composition, working principle and the effect of an enviromental automatic sandblast derusting tool, and the equipment consists of air compressors, sand blasting machine, walking rack and control system. The dual-nozzle form of recycling of steel grit and rust dust using the vacuum principle, and is able to quickly complete the pipeline to fill the mouth of the sand-blasting operations. The application shows that the performance of the device is reliable, simple operation, high recovery rate of steel grit and dust, safety and environmental protection, and the rust cleaning effect reaches Sa2.5 class.

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Hwang, Jae Sun, Sang Bae Lee, Keun Taek Oh, Kyoung Nam Kim, and Kwang Mahn Kim. "Titanium Oxide Layer with Micro and Nano Tubes on Titanium Substrate." Key Engineering Materials 309-311 (May 2006): 379–82. http://dx.doi.org/10.4028/www.scientific.net/kem.309-311.379.

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The formation of titanium oxide layer with micro and nanotube arrays on titanium substrate was investigated by grit-blasting and anodic oxidation treatment. Micro rough surface can be formed by grit-blasting and nanotube arrays can be formed by anodic oxidation. The morphology of the hybrid surface(micro and nanotube arrays surface) can be affected by the mechanical conditions (grit size, grit material, blasting pressure, nozzle tip of blasting machine, distance nozzle tip and specimen, blasting time) and electrochemical conditions (applied potential, electrolyte concentration and anodizing time) used. Such micro pore and nanotube arrays of titanium oxide can be useful for well-adhered bioactive surface layer on Ti implant metals for orthopedic and dental implants, as well as for photo catalysts and other sensor applications.

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Zhang, Dan, Yuan Lin Liu, and Hong Tao Li. "Level Mobile Shot Blasting Machine Shot Blasting Wheel in the Dynamic Simulation Based on ADAMS." Applied Mechanics and Materials 148-149 (December 2011): 837–41. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.837.

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The level of mobile shot blasting machine analysis, a mechanical model of the projectile with the blade and shot rounds of dynamic simulation model, the model by imposing constraints and external forces, analysis of air resistance, friction, blade length and projectile diameter of throw playing speed. Played by the speed of analysis can throw further analysis of various parameters on the effect of throwing fight.

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Isheyskiy, Valentin, Evgeny Martinyskin, Sergey Smirnov, Anton Vasilyev, Kirill Knyazev, and Timur Fatyanov. "Specifics of MWD Data Collection and Verification during Formation of Training Datasets." Minerals 11, no. 8 (July 22, 2021): 798. http://dx.doi.org/10.3390/min11080798.

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This paper presents a structured analysis in the area of measurement while drilling (MWD) data processing and verification methods, as well as describes the main nuances and certain specifics of “clean” data selection in order to build a “parent” training database for subsequent use in machine learning algorithms. The main purpose of the authors is to create a trainable machine learning algorithm, which, based on the available “clean” input data associated with specific conditions, could correlate, process and select parameters obtained from the drilling rig and use them for further estimation of various rock characteristics, prediction of optimal drilling and blasting parameters, and blasting results. The paper is a continuation of a series of publications devoted to the prospects of using MWD technology for the quality management of drilling and blasting operations at mining enterprises.

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Li, Qingxiang, Zhanyou Luo, Man Huang, Jiangbo Pan, Guoshu Wang, and Yunxin Cheng. "Control of Rock Block Fragmentation Based on the Optimization of Shaft Blasting Parameters." Geofluids 2020 (December 15, 2020): 1–10. http://dx.doi.org/10.1155/2020/6687685.

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In the construction of shaft, the blockage of the mucking shaft may cause the mud-water inrush disaster. Oversized rock fragmentation is the main cause for the blockage of the mucking shaft in the raise boring machine (RBM) construction method. The influence degree of blasting parameters on rock fragmentation after blasting is quantified by adopting analytic hierarchy process (AHP). On this basis, the shaft blasting maximum rock fragmentation control model based on double hidden layer BP neural network is proposed. Results show that the maximum rock fragmentation discharged from the mucking shaft after blasting should not exceed 1/3 of the diameter of the slag chute. The influence weight of the minimum resistance line that accounts to 15.6%, when AHP is applied for the quantification of the blasting parameters, can be regarded as the most important blasting parameter. The average absolute errors between the predicted value and the actual value of the largest block size control model of the shaft blasting are only 2.6%. The inversion analysis of the model can rapidly obtain the required blasting parameters, which can be used to guide the construction of the tunnel ventilation shaft.

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Li, Dong Tao, Jing Long Yan, and Le Zhang. "Prediction of Blast-Induced Ground Vibration Using Support Vector Machine by Tunnel Excavation." Applied Mechanics and Materials 170-173 (May 2012): 1414–18. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.1414.

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Beijing East Road No.1 tunnel in Guiyang city has the most complexity in arround, so prediction and control the blasting vibration is the most important task. In order to improve the accuracy of the prediction of the blasting vibration to mitigate the possible hazard in tunnel construction, studied on method of predicting peak particle velocity (PPV) using support vector machine (SVM) and established regression prediction model based on SVM. Comparisons between the predicted PPV using the empirical equation regression and SVM was made, find that the SVM gives much better prediction of PPV than does the empirical equation regression.

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Jinqiang, Wang, Prabhat Basnet, and Shakil Mahtab. "Review of machine learning and deep learning application in mine microseismic event classification." Mining of Mineral Deposits 15, no. 1 (2021): 19–26. http://dx.doi.org/10.33271/mining15.01.019.

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Purpose. To put forward the concept of machine learning and deep learning approach in Mining Engineering in order to get high accuracy in separating mine microseismic (MS) event from non-useful events such as noise events blasting events and others. Methods. Traditionally applied methods are described and their low impact on classifying MS events is discussed. General historical description of machine learning and deep learning methods is shortly elaborated and different approaches conducted using these methods for classifying MS events are analysed. Findings. Acquired MS data from rock fracturing process recorded by sensors are inaccurate due to complex mining environment. They always need preprocessing in order to classify actual seismic events. Traditional detecting and classifying methods do not always yield precise results, which is especially disappointing when different events have a similar nature. The breakthrough of machine learning and deep learning methods made it possible to classify various MS events with higher precision compared to the traditional one. This paper introduces a state-of-the-art review of the application of machine learning and deep learning in identifying mine MS events. Originality.Previously adopted methods are discussed in short, and a brief historical outline of Machine learning and deep learning development is presented. The recent advancement in discriminating MS events from other events is discussed in the context of these mechanisms, and finally conclusions and suggestions related to the relevant field are drawn. Practical implications. By means of machin learning and deep learning technology mine microseismic events can be identified accurately which allows to determine the source location so as to prevent rock burst. Keywords: rock burst, MS event, blasting event, noise event, machine learning, deep learning

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Sakoda, Seiki, and Katsuji Tosha. "Shot Peening Using Wet Blasting Machine with a Wide Nozzle." Materials Science Forum 614 (March 2009): 163–68. http://dx.doi.org/10.4028/www.scientific.net/msf.614.163.

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This paper describes the influence of shot peening on of the peened surface and fatigue strength. Shot peening was performed by a wet blasting machine with a wide nozzle. At first, influences of particle size and geometry on characteristic values such as surface roughness, residual stress, FWHM, and Vickers hardness were examined, and then fatigue strength was studied on the peened materials. The material is a medium carbon steel (C:0.45%, 180HV) and the peening particles are alumina and glass beads. The following results are shown in this paper: (1) On the specimen a width of 83% of the wide nozzle is peened uniformly judging from chatterings of FWHM, compressive residual stresses and surface roughness. (2) Surface roughness, compression residual stress, FWHM and the maximum hardness increase with increasing particle size except for the case of 57μm particles; the maximum values are 0.52μm, 390MPa, 2.15deg, 205.6HV respectively. (3) Fatigue strength is improved using alumina and glass beads by 20% and 15%. (4) The peening process using a wide nozzle can effectively improve fatigue strength.

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YAMANAKA, Noboru, Takanori NAGANO, and Eizo Hira. "321 Development of Blasting Machine Using Supercooling-Iced Spherical Particles." Proceedings of Conference of Kyushu Branch 2007 (2007): 135–36. http://dx.doi.org/10.1299/jsmekyushu.2007.135.

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Harada, Masashi, Kazuhito Ohashi, Taketo Fukushima, and Shinya Tsukamoto. "Control of Machining Profiles Based on Material Removal Capabilities in Cylindrical Blasting." Advanced Materials Research 1136 (January 2016): 125–30. http://dx.doi.org/10.4028/www.scientific.net/amr.1136.125.

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Fluid dynamic bearings, which have an advantage in high-accuracy revolutions, are employed for spindle motors of hard disk drive, cooling fans for central processing unit, spindles of machine tool, etc. Micro herring-bone grooves are manufactured on cylindrical surface of the shafts in the bearing units, and they generate dynamic pressure during spins. Although the depth of the herring-bone grooves is generally constant, the shafts of which groove depth decreases from the ends of the groove array to its center improve the performance of bearing. The micro grooves are mainly manufactured by chemical etching, electrochemical machining, cutting and form rolling. However, the chemical etching and the electrochemical machining are difficult to control 3D machining profiles with high accuracy. The cutting and the form rolling have problems in tool lives and manufacturing costs. On the other hand, blasting is expected as one of micro fabrication methods. Therefore, we focused on blasting, and have investigated its material removal capabilities by fundamental tests. The purpose of this study is to control machining profiles in cylindrical blasting. The machining profiles of cylindrical workpieces in blasting were simulated based on the material removal capabilities obtained by the fundamental blasting tests. Then, the simulated profiles agreed well with the experimental ones by blasting under the same experimental condition.

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Mohammadnejad, M., R. Gholami, A. Ramezanzadeh, and ME Jalali. "Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine." Journal of Vibration and Control 18, no. 9 (September 30, 2011): 1322–29. http://dx.doi.org/10.1177/1077546311421052.

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One of the major environmental concerns related to blasting operation in mining and civil engineering projects is ground vibration. The ground parameters should be taken into account by the prediction models, especially if the ground conditions have variable characters. In a blasting environment, this is usually possible by using an empirical method. However, in this study, the application of a novel artificial method, called a ‘Support Vector Machine’ (SVM), has been offered for the prediction of blast-induced ground vibration by taking into consideration the maximum charge per delay and the distance between the blast face and monitoring point. Two limestone quarries have been studied through this research. The results clearly show that the SVM can be used as a reliable predictor technique to predict the vibration level with a correlation coefficient of 0.944 which has been obtained by comparing measured and predicted values.

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Brezinová, Janette, Dagmar Draganovská, Anna Guzanová, and Marek Vojtko. "The Wear Evaluation of Blasting Machine’s Blades." Key Engineering Materials 635 (December 2014): 190–93. http://dx.doi.org/10.4028/www.scientific.net/kem.635.190.

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The contribution deals with the evaluation of wear blades continuous blasting machine. The current state of wear of blades and a description of the blasting process is analyzed. In the experimental part of this work the quality of the blades is evaluated by measuring the hardness of materials, chemical analysis of the samples and their structural analysis. Abrasive wear was evaluated in loose fill abrasive and in the environment with firmly bonded abrasives. The results of the measurements showed that the material of the blades is hypoeutectic white cast iron with different carbon and alloying, especially Chromium.

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Madhu, S., and M. Balasubramanian. "A Review on Abrasive Jet Machining Process Parameters." Applied Mechanics and Materials 766-767 (June 2015): 629–34. http://dx.doi.org/10.4028/www.scientific.net/amm.766-767.629.

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Abrasive jet machining (AJM) also known as abrasive micro-blasting or Pencil blasting is an abrasive blasting machining process that uses abrasives propelled by high velocity gas to erode material from the work piece. It has been applied to rough working such as deburring and rough finishing, machining of ceramics and electronic devices. AJM has become a useful technique for micro machining. It has various distinct advantages over the other non-traditional cutting methods, which are high machining versatility, minimum stresses on the substrate. This paper deals with several experiments that have been conducted by many researchers to assess the influence of abrasive jet machining (AJM) process parameters such as type of abrasive Particle , Abrasive Particle size, Jet pressure Nozzle tip distance. Various experiments were conducted to assess the influence of abrasive jet machine.

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AlZaher, Zahra A., Danah F. Almaskin, Masoumah S. Qaw, Tahani H. Abu Showmi, Reem Abualsaud, Sultan Akhtar, and Mohammed M. Gad. "Chemo-Mechanical Approach to Improve Repair Bond Strength of Denture Teeth." International Journal of Dentistry 2020 (November 4, 2020): 1–8. http://dx.doi.org/10.1155/2020/8870361.

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Background. Detachment of acrylic teeth from denture base material is a common complication in dentistry which accounts for 26–30% of repair cases. This study aimed to evaluate the effect of alumina-blasting, silane coupling agent, and thermal cycling on the shear bond strength of repaired teeth to denture base. Materials and Methods. Specimens (140) of repaired teeth to denture bases were fabricated and divided into 14 groups: 7 groups before thermal cycling and 7 groups after thermal cycling (n = 10). The groups were divided according to surface treatment into no treatment (control), treatment of the base (B), the tooth (T), or both (BT). Each group was further subdivided according to the surface treatment method into alumina-blasting or alumina-blasting and silane coupling agent. After treatment, acrylic discs and teeth were fixed in a jig, and the repair procedure was done. Half the specimens were thermally cycled. Shear bond strength was measured using a universal testing machine. ANOVA and Tukey HSD tests were performed at α = 0.05. Results. Surface treatment significantly improved the bond strength compared to the control group P < 0.001 . Comparing surface treatments, alumina-blasting with silane coupling agent treatment resulted in significantly higher strength compared to alumina-blasting alone P < 0.001 . The BT group treated with alumina-blasting and silane coupling agent showed the highest significant shear bond strength (23.91 ± 0.96 MPa) P < 0.001 . Significant drop in strength value was observed in all groups after thermal cycling P < 0.004 except the BT group treated with alumina-blasting P = 0.096 . Conclusion. Surface treatment using alumina-blasting with silane coupling agent for denture base and tooth increased repair strength.

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Duggan, Shane. "Photons in the machine." Boolean: Snapshots of Doctoral Research at University College Cork, no. 2015 (January 1, 2015): 65–69. http://dx.doi.org/10.33178/boolean.2015.13.

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All our gadgets, mobile phones, music players, tablets, contain computer chips. These chips are powerful enough to store an abundance of knowledge. They are also small enough to allow the majority of our gadgets to fit in our pockets. My work focuses on designing and building parts of circuits for these computer chips to simultaneously give them greater power and smaller size while using less energy. At this moment you are in a warzone of tiny photon torpedoes. They are being fired in your pocket, on the screen in front of you. In actuality photons are blasting your eyes, because photons are just particles of light! We communicate with photons/light all the time. As you read this your eyes are receiving photons and your brain is processing the information. This appears quite a complicated process, your mind has to decide what is text and what is background, and from there ...

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Prabowo, Rinaldi Sam, Priyo Agus Setiawan, Anda Iviana Juniani, Wiediartini, and Ika Erawati. "Reliability analysis of hanger shot blast KAZO machine in foundry plant." MATEC Web of Conferences 204 (2018): 03007. http://dx.doi.org/10.1051/matecconf/201820403007.

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In a metal casting industry, Hanger Shot Blast KAZO machine plays a very vital role for blasting. The downtime equipment data for the last five years, 2013 to 2017, shows that the hanger shot blast KAZO is the machine which frequently encounters downtime with the number of 503,75 hours. As the only blasting machine with 2 (two) tons of load capacity, the issues of hanger shot blast KAZO affect to the targeted production process of company. Moreover, it increases risk of safety for the workers surround the machine. The purpose of this current research is to find out the reliability value of the item/ component of hover shot blast KAZO machine using Reliability Analysis method. The malfunction of its component is reviewed by FMEA (Failure Mode and Effect Analysis). While the risk assessment is obtained from RPN (Risk Priority Number) calculation - MTTF value and reliability value R(t). The result of this current study found that there are 21 malfunctions on hanger shot blast KAZO machine. MTTF analysis shows the highest MTTF value is 9195,324 hours for bearing impeller component and the lowest is 3498,997 hours for motor components. Meanwhile, reliability analysis shows that the largest reliability value with 0.999915 is encountered by motor contactor of crane, while with a value of 0.26385, hanger rotator motor contactor component encountered the lowest reliability value.

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NAKAGAWA, Koji, Kohei FURUKAWA, Kohei SUZUKI, and Ken-ichi YOSHIMI. "Smooth blasting in hard granite tunnel using an automatic drilling machine." Doboku Gakkai Ronbunshu, no. 367 (1986): 52–61. http://dx.doi.org/10.2208/jscej.1986.367_52.

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Khomenko, O. E., M. N. Kononenko, and V. I. Lyashenko. "Improvement of Safety for the Underground Vertical Workings." Occupational Safety in Industry, no. 2 (February 2021): 41–48. http://dx.doi.org/10.24000/0409-2961-2021-2-41-48.

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The main scientific and practical calculations used to increase the efficiency of vertical mine workings based on studying the operation of tunneling complexes and road-heading machines, as well as by sectional blasting of the deep wells are presented in the article. This will ensure high-quality mine workings in accordance with the design and improve the operational safety throughout the entire service life. The methods are used related to the complex generalization, analysis and assessment of the practical experience and scientific achievements in the field of the underground geotechnology, theory and practice of explosive destruction of the solid media, mechanics of continuous media, mathematical statistics, as well as studies of the wave processes according to the standard and new methods developed by the leading experts from the leading mining countries of the world, including with the authors participation. Technological audit of the vertical working drilling and blasting was conducted using KPV-4A tunneling complex and the tunneling machine Robbins 73R, as well as the efficiency of conducting them in the cycle of mining operations was established. Mathematical modeling and calculation of the parameters of drilling and blasting operations were carried out using the contour blasting of explosive charges when driving vertical mine workings. Rounder of RS-220 type for the hole boring was recommended (complete with machine tool NKR-100MPА) of the downward wells with a diameter of 220 mm in rocks with a coefficient of f = 8–14 according to the scale of M.M. Protodyakonov, which is already being used at the mines of Ukraine, Russia, the Republic of Kazakhstan, and other countries. The new device for the contactless transmission of electricity from the stationary object to a mobile one was proposed, which will allow to improve the operating conditions of KPV-4A tunneling complex, LMSh-1 mine type elevator used for lifting and lowering people, small equipment, and materials along the rise workings, which is achieved due to external location of the cable rewinding mechanism and the absence of complex, for example, planetary mechanisms. It will also improve the efficiency and safety of work for the vertical mine workings in the rock massifs.

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Kanie, Takahito, Akihiko Kadokawa, Hiroyuki Arikawa, and Koichi Fujii. "Novel Water-blasting Machine for Removal of Refractory Investment and Metal Oxides." Prosthodontic Research & Practice 2, no. 1 (2003): 20–26. http://dx.doi.org/10.2186/prp.2.20.

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Manoj, Khandelwal, and Monjezi M. "Prediction of flyrock in open pit blasting operation using machine learning method." International Journal of Mining Science and Technology 23, no. 3 (May 2013): 313–16. http://dx.doi.org/10.1016/j.ijmst.2013.05.005.

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Amini, Hasel, Raoof Gholami, Masoud Monjezi, Seyed Rahman Torabi, and Jamal Zadhesh. "Evaluation of flyrock phenomenon due to blasting operation by support vector machine." Neural Computing and Applications 21, no. 8 (May 26, 2011): 2077–85. http://dx.doi.org/10.1007/s00521-011-0631-5.

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Cuesta, Eduardo, Braulio J. Alvarez, Pablo Zapico, and Sara Giganto. "Analysis of post-processing influence on the geometrical and dimensional accuracy of selective laser melting parts." Rapid Prototyping Journal 26, no. 10 (October 12, 2020): 1713–22. http://dx.doi.org/10.1108/rpj-02-2020-0042.

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Purpose This study aims to analyze the effect of the different common post-processes on the geometrical and dimensional accuracy of selective laser melting (SLM) parts. Design/methodology/approach An artefact has been designed including cubic features formed by planar surfaces orientated according to the machine axes, covering all the X-Y area of the working space. The artefact has been analyzed both geometrically (flatness, parallelism) and dimensionally (sizes, distances) from coordinate measuring machine measurement results at three stages, namely, as-built, after sand-blasting and after stress-relieving heat treatment. Findings Results from the SLM machine used in this study lead to smaller parts than the nominal ones. This effect depends on the direction of the evaluated dimension of the parts, i.e. X, Y or Z direction and is differently affected by the sandblasting post-process (average erosion ratio of 68, 54 and 9 µm, respectively), being practically unaltered by the HT applied after. Originality/value This paper shows the influence, from a geometric and dimensional point of view, of two of the most common post-processes used after producing SLM parts, such as sand-blasting and stress-relieving heat treatment, that have not been considered in previous research.

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Young, R. P., and J. J. Hill. "Seismic attenuation spectra in rock mass characterization; a case study in open‐pit mining." GEOPHYSICS 51, no. 2 (February 1986): 302–23. http://dx.doi.org/10.1190/1.1442090.

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The application of engineering geophysics to the characterization of rock masses is exemplified through a case study of three phases of a research project into the design of efficient blasting systems in open‐pit mining. Seismic experiments are used before and after mine blasting to monitor the efficiency of explosions in terms of rock fragmentation. Spectral analysis of seismic signals, after they have been used to interrogate rock masses, is used to compute preblast and postblast attenuation and velocity parameters. The results show that fragmentation efficiency of a mine blast and fracture anisotropy of a rock mass can be quantified in terms of three‐dimensional (3-D) attenuation spectra and polar anisotropy diagrams. These seismic data are correlated with the blast design and the energy used by the excavating dragline machine to dig to rock mass. An overview of the seismic attenuation technique and instrumentation used in the project (phases I and II) is given. A case study from phase III highlights the scope and interpretation of the relationship between excavation parameters and seismically characterized blasting efficiency.

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Prashanth, Ragam, and DS Nimaje. "Estimation of ambiguous blast-induced ground vibration using intelligent models: A case study." Noise & Vibration Worldwide 49, no. 4 (April 2018): 147–57. http://dx.doi.org/10.1177/0957456518781858.

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Blasting is an economical and viable operation for reliable excavation of hard rock in mining and civil construction. An ambiguous ground vibration generated by blasting is unenviable and causes grievous damage to nearby inhabitants, residential premises, and other sensitive sites. Accordingly, the proper assessment of indistinct blast-induced ground vibration is a requisite to pinpoint the safe limits in and around mines. An endeavor has been made in this article to apply four predictive models, namely, support vector machine, feed forward back propagation neural network, cascaded forward back propagation neural network, and radial basis function neural network to estimate the ground vibration caused by blasting operation conducted at Mine-A, India. In this article, a total number of 121 blasting operations with relevant parameters are recorded. The most influential parameters of ground vibration are the number of holes, burden, spacing, hole diameter, hole depth, top stemming, maximum explosive charge per delay, and the distance from blast source, which were considered as input parameters. Ground vibration is measured in terms of peak particle velocity and is considered as output. The performance indicators of constructed network models were chosen as the coefficient of determination (R2), root mean square error, and variance account for. Among all constructed intelligent models, the radial basis function neural network with architecture 8-80-1 and R2 of 0.9918, root mean square error of 4.4076, and variance account for of 99.1800 was found to be optimum. Sensitivity analysis showed that the number of holes, burden, and top stemming are the most effective parameters leads to ground vibration due to blasting.

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Nikitin, Oleg, and Sergei Sabanov. "IMMEDIATE ROOF STABILITY ANALYSIS FOR NEW ROOMAND- PILLAR MINING TECHNOLOGY IN “ESTONIA” MINE." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 1 (June 18, 2005): 262. http://dx.doi.org/10.17770/etr2005vol1.2138.

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This paper analysis the immediate roof (IR) stability by the deformation criteria for new room-andpillar mining technology with modern machines in “Estonia” mine. The new mining technology based on a blasting method to move from packaged to emulsion explosives, from 2.0 m to 4.0 m boreholes (FRANZ SCHELL machine) and on new undercutting (SMAG machine) method. With such equipped new technology the entry advance rates reached 3.8 m. As a result of such greater advance rates the situations with unsupported room length up to 5.5 m with decreasing the stability of IR can be expected. The analysis of IR stability based on an in-site underground testing by the leaving bench-mark stations and convergence measurements. The main targets of this study to determine the main parameters for supported/unsupported IR deformation in areas with great entry advance rates and risk analysis concept elaboration.

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Dumakor-Dupey, Nelson K., Sampurna Arya, and Ankit Jha. "Advances in Blast-Induced Impact Prediction—A Review of Machine Learning Applications." Minerals 11, no. 6 (June 3, 2021): 601. http://dx.doi.org/10.3390/min11060601.

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Rock fragmentation in mining and construction industries is widely achieved using drilling and blasting technique. The technique remains the most effective and efficient means of breaking down rock mass into smaller pieces. However, apart from its intended purpose of rock breakage, throw, and heave, blasting operations generate adverse impacts, such as ground vibration, airblast, flyrock, fumes, and noise, that have significant operational and environmental implications on mining activities. Consequently, blast impact studies are conducted to determine an optimum blast design that can maximize the desirable impacts and minimize the undesirable ones. To achieve this objective, several blast impact estimation empirical models have been developed. However, despite being the industry benchmark, empirical model results are based on a limited number of factors affecting the outcomes of a blast. As a result, modern-day researchers are employing machine learning (ML) techniques for blast impact prediction. The ML approach can incorporate several factors affecting the outcomes of a blast, and therefore, it is preferred over empirical and other statistical methods. This paper reviews the various blast impacts and their prediction models with a focus on empirical and machine learning methods. The details of the prediction methods for various blast impacts—including their applications, advantages, and limitations—are discussed. The literature reveals that the machine learning methods are better predictors compared to the empirical models. However, we observed that presently these ML models are mainly applied in academic research.

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Yi, Liu. "Function Design of Automatic Vertical Long Tube Inner Wall Rotating Sand-Blasting Machine." Mechanical Research 2, no. 3 (2020): 71–79. http://dx.doi.org/10.35534/mr.0203011.

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Lu, Xiang, Mahdi Hasanipanah, Kathirvel Brindhadevi, Hassan Bakhshandeh Amnieh, and Seyedamirhesam Khalafi. "ORELM: A Novel Machine Learning Approach for Prediction of Flyrock in Mine Blasting." Natural Resources Research 29, no. 2 (August 2, 2019): 641–54. http://dx.doi.org/10.1007/s11053-019-09532-2.

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Khandelwal, Manoj, and M. Monjezi. "Prediction of Backbreak in Open-Pit Blasting Operations Using the Machine Learning Method." Rock Mechanics and Rock Engineering 46, no. 2 (June 12, 2012): 389–96. http://dx.doi.org/10.1007/s00603-012-0269-3.

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Brunharo, Ione Helena Vieira Portella, Daniel Jogaib Fernandes, Mauro Sayão de Miranda, and Flavia Artese. "Influence of surface treatment on shear bond strength of orthodontic brackets." Dental Press Journal of Orthodontics 18, no. 3 (June 2013): 54–62. http://dx.doi.org/10.1590/s2176-94512013000300010.

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INTRODUCTION: The shear bond strength of orthodontic brackets bonded to micro-hybrid and micro-particulate resins under different surface treatment methods was assessed. METHODS: Two hundred and eighty test samples were divided into 28 groups (n = 10), where 140 specimens were filled with Durafill micro-particulate resin and 140 with Charisma composite. In 140 samples, a coupling agent (silane) was applied. The surface treatment methods were: Phosphoric and hydrofluoric acid etching, sodium bicarbonate and aluminum oxide blasting, stone and burs. A Universal Instron Machine was used to apply an occlusal shear force directly to the resin composite bracket surface at a speed of 0.5 mm/min. The means were compared using analysis of variance and multivariate regression to assess the interaction between composites and surface treatment methods. RESULTS: Means and standard deviations for the groups were: Sodium bicarbonate jet 11.27±2.78; burs 9.26±3.01; stone 7.95±3.67; aluminum oxide blasting 7.04±3.21; phosphoric acid 5.82±1.90; hydrofluoric acid 4.54±2.87, and without treatment 2.75±1.49. An increase of 1.94 MPa in shear bond strength was seen in Charisma groups. Silane agent application reduced the Charisma shear bond strength by 0.68 Mpa, but increased Durafill means for bicarbonate blasting (0.83), burs (0.98) and stone drilling (0.46). CONCLUSION: The sodium bicarbonate blasting, burs and stone drilling methods produced adequate shear bond strength and may be suitable for clinical use. The Charisma micro hybrid resin composite showed higher shear bond means than Durafill micro particle composite.

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Zhang, Wei, Dong Sheng Zhang, and Jian Ben Chen. "Study on Mining Techniques for Improving Lump Coal Rate of Anthracite." Advanced Materials Research 361-363 (October 2011): 232–35. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.232.

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Based on the decisive impact of mining techniques on lump coal formation, according to the specific mining conditions of 2206# coalface in Xinqiao Mine, the turning direction of rollers in coal winning machine had been changed, the cutting coal ways of coal winning machine had been transformed, the supporting strength of hydraulic supports had been reduced and the presplit short-delay blasting had been implemented for improving the lump coal rate of anthracite. The application results show that those mining techniques could greatly improve the quantity and rate of lump coal and make better technical and economic benefits.

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Yang, Jing, Xing-Guo Yang, Jia-Wen Zhou, Yong Liu, Bao-Shun Dong, and Hai-Bo Li. "Comparative Study of the Excavation Damage and Rockburst of the Deeply Buried Jinping II Diversion Tunnels Using a TBM and the Drilling-Blasting Method." Advances in Civil Engineering 2020 (December 9, 2020): 1–14. http://dx.doi.org/10.1155/2020/8876214.

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The rock mass failure induced by high in-situ stresses during the excavation of deep diversion tunnels is one of the key problems in the construction of the Jinping II Hydropower Station. Based on the results of acoustic wave tests and rockburst statistical analysis conducted, this study focuses on the excavation damaged zone (EDZ) and rockburst events in the Jinping II diversion tunnels excavated using the tunnel boring machine (TBM) method and the drilling-blasting method. The unloading failure mechanism and the rockburst induced by the two different excavation methods were compared and analyzed. The results indicate that, due to the different stress adjustment processes, the degree of damage to the surrounding rock mass excavated using the drilling-blasting method was more serious than that using the TBM method. The EDZ induced by the TBM was usually distributed evenly along the edge of the excavation surface. While, the drilling-blasting method was more likely to cause stress concentration, resulting in a deeper EDZ in local areas. However, the TBM excavation method can cause other problems in high in-situ stress areas, such as strong rockbursts. The drilling-blasting method is more prone to structural controlled failure of the surrounding rock mass, while the TBM method would induce high stress concentration near the edge of excavation and more widely distributed of stress adjustment induced failure. As a result, the scale and frequency of the rockburst events generated by the TBM were significantly greater than those caused by the drilling-blasting method during the excavation of Jinping II diversion tunnels. The TBM method should be used carefully for tunnel excavation in high in-situ stress areas with burial depths of greater than 2000 m. If it is necessary to use the TBM method after a comprehensive selection, it is suggested that equipment adaptability improvement, advanced prediction, and prediction technology be used.

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Narimani Dehnavi, Roohollah, and Michael Berner. "Analysing the Feasibility of a Full-face Cutting Machine for the Robominers Project." BHM Berg- und Hüttenmännische Monatshefte 166, no. 2 (February 2021): 64–69. http://dx.doi.org/10.1007/s00501-021-01082-6.

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AbstractSeveral methods of excavation have previously been studied to choose the most suitable approach to be applied in the Robominers project. Compared to drilling and blasting and partial-face cutting, the full-face cutting option is regarded as one of the methods which can offer, among others, high advance rates and a safer working environment for the machinery. Current technologies of these methods, however, suffer from several limitations, such as the inability to bore very hard rocks, significant lack of geometrical flexibility in mine working areas, and low mobility due to large and heavy components. In this study, two of the most commonly applied small diameter full-face machines including the pipe jacking and the Boxhole Boring Machine (BBM) are studied with regards to their performance parameters. The pipe jacking machine option with a cutterhead consisting of disc cutters exhibits higher efficiency in excavation with only slightly lower production rates compared to a BBM with strawberry cutters. They are also much lighter machines. Yet, using the jacking concept means a limited driving length and does not apply to the Robominers. Therefore, the introduction of small gripper or shielded Tunnel Boring Machines (TBMs) can significantly improve the mobility. Their application, however, requires considering the risks of jamming in difficult ground conditions and the possible requirements of a support installation. These rock mechanics issues need to be carefully considered in the design of such machines. In addition, further studies are required to employ assisted cutting methods in very hard rocks and to increase the geometrical flexibility of these machines by lowering their turning radius.

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Longjun, Dong, Li Xibing, Xu Ming, and Li Qiyue. "Comparisons of Random Forest and Support Vector Machine for Predicting Blasting Vibration Characteristic Parameters." Procedia Engineering 26 (2011): 1772–81. http://dx.doi.org/10.1016/j.proeng.2011.11.2366.

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Li, Ying Jun, Peng Jie Sui, Qi Zhang, Chang Cun Li, and Yong He. "The Review of Workpiece Loading and Unloading Robot in the Catenary Shot Blasting." Applied Mechanics and Materials 496-500 (January 2014): 578–81. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.578.

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Industrial robots with advantages of highly flexible, high positioning accuracy, high-efficient production, continuous operation capability in the harsh environment, can effectively replace all kinds of complex operations and high-intensity labor which cant be completed by the existing manual operation. The structural characteristic and use of the catenary abrator is described in this paper. Based on the current production status, catenary shot blasting machine workpiece handling methods are elaborated. This paper describes the use of the robot which can work quickly and efficiently loading and unloading.

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Puapairoj, Sarunya, and Chiranut Sa-Ngiamsak. "Effect of Voltage Pattern on Intensity of Electromagnetic Emission during Electric Flame-Off Process of Ball Bonding Machine." Advanced Materials Research 418-420 (December 2011): 2265–71. http://dx.doi.org/10.4028/www.scientific.net/amr.418-420.2265.

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Electromagnetic interference (EMI) can degrade device performance, particularly a sensitive device such as magnetic recording heads. A high applied voltage generates a high electric field in order to break the electrical air gap during a gold ball bonding process. This work, for the first time, investigates the influence of high voltage pattern of a gold ball bond machine on both electric field and magnetic field as an electromagnetic wave by monitoring an intensity of electromagnetic interference. The investigation was carried out by simulation of a live gold ball bond machine operation by using a finite integral technique. The simulation results reveal that the voltage pattern plays an important role in the intensity of electromagnetic radiation (EMR). In conclusion, an ideal voltage pulse of 2 kV and 4 kV generates the highest EMR detected by a monopole antenna. The induced voltage occuring at the antenna reflecting the intensity of EMI blasting was as high as 33.39 V and 71.36 V, respectively. Smoothening the voltage pattern by incrasing the rise time of voltage to 100 ns only, the induced voltage at the antenna was reduced down to 99.90% and 99.92% compairing with the case of an ideal voltage pulse for the peak EFO voltage of 2 kV and 4kV respectively. This concludes the importance of the voltage pattern during a free air ball forming process; hence lowering the risk of the highly sensitive deivce to be damaged by EMI blasting.

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Journal articles on the topic 'Blasting machine'

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