Journal of Mines, Metals and Fuels最新文献_第4页

Automatic Feeder for Hardness Testing Equipment 硬度测试设备的自动送料器

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/32780

Vignesh R B, Vinay R, Venaktesh H, Y. Shariff, Vijee Kumar

{"title":"Automatic Feeder for Hardness Testing Equipment","authors":"Vignesh R B, Vinay R, Venaktesh H, Y. Shariff, Vijee Kumar","doi":"10.18311/jmmf/2022/32780","DOIUrl":"https://doi.org/10.18311/jmmf/2022/32780","url":null,"abstract":"This paper presents the development of the concept of automating the process of feeding the rocker arm bearing shafts into the hardness testing equipment. The present system used in industry for feeding is a manual feeding of the rocker arm bearing shafts (RABS) into the hardness testing equipment. A labourer feeds each and every component by hand, picking up 10-15 components at a time and then feeds it into the hardness testing equipment one by one. The eddy current principle is used here to check the hardness of the component. Hardness testing of components is done to ensure the rocker arm bearing shafts meet the hardness standard to ensure that it works for the designed purpose without any failure. The proposed system is an automated process. Suitable mechanical and electronic components are used to achieve automation and a finalized concept was generated. The proposed system consists of an automatic vibratory feeder bowl, a pneumatic double acting cylinder and proximity sensors. When the components are placed in the vibratory bowl due to the action of the feeder the components get stacked up then moves through a chute and then it will be pushed into the hardness testing equipment with the help of a double acting cylinder. The sensors are used to monitor and control the feeding process.","PeriodicalId":39575,"journal":{"name":"Journal of Mines, Metals and Fuels","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43714645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical Studies of Air Flow Analysis in Compressed Air Filters 压缩空气过滤器气流分析的数值研究

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/32783

Tejas R, Niranjan Hiremath, K. Narayanaswamy

引用次数: 0

Design and Numerical Study of Serpentine Duct using Flow Controllers for Flow Characteristics Enhancement 利用流动控制器增强蛇形管道流动特性的设计与数值研究

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/32776

Yogesh Shankar R.P, P. D

{"title":"Design and Numerical Study of Serpentine Duct using Flow Controllers for Flow Characteristics Enhancement","authors":"Yogesh Shankar R.P, P. D","doi":"10.18311/jmmf/2022/32776","DOIUrl":"https://doi.org/10.18311/jmmf/2022/32776","url":null,"abstract":"In the current work, computational study has been carrying out on the both baseline serpentine duct to know the flow behaviour and baseline with vortex generator to know the effect of vortex generators on the flow properties of the duct. A set of vortex generators are chosen for the study, by keeping all other parameters constant. Here in current work, for modelling the duct and vortex generator CATIA V5 is used; to discretizing the geometry ICEM CFD is used. For the analysis, the computational fluid dynamics tool FLUENT is used, SST k-ù model available in the FLUENT is used for the computations, and the results of current work will be validated with experimental results and shows that they are converged. Use of vortex generator in the current work proved extremely effective in enforcing the active flow control. Results obtained in this work are to study the pressure recovery at the engine face. The results ensure that the current work on the baseline model of serpentine inlet duct and model with vortex generator comparison is well established in case of pressure recovery and decrease in engine face distortion. After comparing the result of both baseline duct and duct with vortex generator we are expecting at least 25-35% of pressure recovery at the engine face. In the present study significant improvements characterized by an improved pressure recovery and decrease in distortion are observed over the baseline model of serpentine duct for vortex generator model. This reduction in pressure loss and distortion enhances the engine performance of thrust and also improves the overall performance of the engine.","PeriodicalId":39575,"journal":{"name":"Journal of Mines, Metals and Fuels","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46233901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental Study of Polymer Matrix Composites using Polyester, HEMP and Calcium Silicate. 聚酯、麻麻、硅酸钙聚合物基复合材料的实验研究。

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/31238

Sachin Prabha, Dattatray G.B.

引用次数: 0

Strain-Cum-Deformation Analysis of Friction Stir Welded AA5052 and AA6061 Samples with Microstructural Analysis AA5052和AA6061搅拌摩擦焊接试样的应变-变形分析及显微组织分析

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/31214

T. Prabaharan, M.B.S. Sreekara Reddy, A. Bovas Herbert Bejaxhin, Ramanan, Pothamsetty Kasi V, Jenaris

引用次数: 0

Evaluation and Comparison of Fracture Toughness of Glass Fibre Reinforce Composites 玻璃纤维增强复合材料断裂韧性的评价与比较

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/31053

Nikhil Rangaswamy, S. S, S. Avadhani, M. G A

{"title":"Evaluation and Comparison of Fracture Toughness of Glass Fibre Reinforce Composites","authors":"Nikhil Rangaswamy, S. S, S. Avadhani, M. G A","doi":"10.18311/jmmf/2022/31053","DOIUrl":"https://doi.org/10.18311/jmmf/2022/31053","url":null,"abstract":"The study of the behaviour of a broken structure or component under service conditions is known as fracture mechanics. Impurities, uneven curing, holes and notches are all sources of fractures. Cracks are common local discontinuities in materials caused by a variety of factors. Such discontinuities cause the structure's rigidity and consequently load bearing capability to deteriorate. It is known that for the crack to propagate, the stress in the locale of the crack tip should reach the critical value. Once stress level is critical, the crack propagates and leads to failure of the structure. A segment of the crack is divided into three modes namely Mode I (Opening mode), Mode II (sliding mode), Mode III (tearing mode). The current study presents a computational and experimental study on fractography and notch sensitivity evaluation in glass-fiber-reinforced-laminate under quasi-static load. For both numerical and experimental damage assessments, three volume fractions of glass and resin plies (50/50, 60/40, and 70/30) have been used. The fracture toughness investigation was carried out in accordance with ASTM standards, utilising a universal testing equipment. The numerical study is conducted out using the J-integral approach. The fracture toughness increases with resin content and is determined by the ductility of the plastic zone surrounding the crack tip. Within an acceptable range, the numerical findings are equivalent to the experimental values. When compared to the other modes, Mode 1 is the fatal. The mode I fracture toughness of several materials is evaluated experimentally and compared in this study.","PeriodicalId":39575,"journal":{"name":"Journal of Mines, Metals and Fuels","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45348032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fault Detection of Bearing using Signal Processing Technique and Machine Learning Approach 基于信号处理技术和机器学习方法的轴承故障检测

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/32937

Manjunatha G, H. C. Chittappa, Dilip Kumar K

{"title":"Fault Detection of Bearing using Signal Processing Technique and Machine Learning Approach","authors":"Manjunatha G, H. C. Chittappa, Dilip Kumar K","doi":"10.18311/jmmf/2022/32937","DOIUrl":"https://doi.org/10.18311/jmmf/2022/32937","url":null,"abstract":"In large- or small-scale industries, machines have rotary element supported by bearings for accurate drive and fixed support. Fault diagnosis has gained much importance in recent times due to increased bearing failures. This demands an efficient diagnosis methodology to detect faults in bearings. In this work, fault diagnosis for the acquired vibration signals of healthy and fault seeded in rolling element bearings were investigated using signal processing technique and online machine learning approach. The research work is carried out in two phases. The first phase of research work investigates fault detection of bearing using conventional signal processing techniques such as time domain analysis and spectrum analysis. The results show that signal processing techniques may be useful for revealing post fault detection information. It was also concluded that the use of different signal processing techniques is often necessary to achieve meaningful diagnostic information from the signals. The second phase of research work describes fault diagnosis of bearing using machine learning approach. Using MATLAB, Discrete Wavelet Features (DWT), were extracted from acquired signals for different rolling element bearing conditions. J48 algorithm was implemented to extract most significant features. Extracted features were used as input to different classifiers to obtain maximum classification accuracy of rolling element bearings. The results showed that machine learning technique could be used to detect and classify the different fault sizes effectively with vibration signals.","PeriodicalId":39575,"journal":{"name":"Journal of Mines, Metals and Fuels","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45375280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of Polymer Quenchants on the Toughness and Hardness of Different Medium Carbon Low Alloy Steels. 聚合物猝灭剂对不同中碳低合金钢韧性和硬度的影响。

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/31243

C. Ramesha, Chandan B R, M. K. N., A. T., Sharan Raj

引用次数: 0

Analysis of Connecting Rod Made by Using Micro Si3N4 Particulates Reinforced with Al2024 Alloy Al2024合金增强Si3N4微颗粒连杆的分析

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/31041

Rachepalli Nochitha, P. Kataraki, Dharshan K, A. F. Zubair, Ayub Ahmed Janvekar

{"title":"Analysis of Connecting Rod Made by Using Micro Si3N4 Particulates Reinforced with Al2024 Alloy","authors":"Rachepalli Nochitha, P. Kataraki, Dharshan K, A. F. Zubair, Ayub Ahmed Janvekar","doi":"10.18311/jmmf/2022/31041","DOIUrl":"https://doi.org/10.18311/jmmf/2022/31041","url":null,"abstract":"In the present work, an attempt has been made to synthesize metal matrix composite using Al2024 as matrix material with Si3N4 particulates and K2TiF6 reinforcement using liquid metallurgy route in particular stir casting technique. The addition level of reinforcement is being varied from 4-8% in steps of 4 wt%. For each composite, reinforcement particles were preheated to a temperature of 500ºC and then dispersed in steps of three into the vortex of molten Al2024 alloy rather than introducing all at once, there by trying to improve wettability and distribution. Microstructural characterization was carried out for the above prepared composites by taking specimens from central portion of the casting by microstructural studies and SEM analysis. Tensile, Impact, and Fatigue properties of the prepared composite were studied before and after addition of Al2024 particulates to note the extent of improvement. Microstructural characterization of the composites has revealed fairly uniform distribution of Si3N4 particulates and some amount of grain refinement in the specimens. SEM analysis revealed the presence of Si3N4 and other phases. Further, the Tensile and Impact strength of the composite found increased with increased filler content.","PeriodicalId":39575,"journal":{"name":"Journal of Mines, Metals and Fuels","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49005115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

To Study the Influence of Ethanol and EGR on Engine Performance and Emissions by the Integration of Taguchi and RSM for an Engine Fuelled with CAOME. 采用田口和RSM相结合的方法研究乙醇和EGR对CAOME发动机性能和排放的影响。

Journal of Mines, Metals and Fuels Pub Date : 2023-03-15 DOI: 10.18311/jmmf/2022/31237

V. N, S. Sangashetty, NR Banapurmath Math, A. H, V. R

{"title":"To Study the Influence of Ethanol and EGR on Engine Performance and Emissions by the Integration of Taguchi and RSM for an Engine Fuelled with CAOME.","authors":"V. N, S. Sangashetty, NR Banapurmath Math, A. H, V. R","doi":"10.18311/jmmf/2022/31237","DOIUrl":"https://doi.org/10.18311/jmmf/2022/31237","url":null,"abstract":"With the rise in fossil fuel consumption rate, depletion in reserves and stringent pollution norms resulted in search of renewable and carbon neutral fuel. Ethanol is one such fuel that can be obtained from various feedstock’s including grains and green matter with high starch and sugar content such as corn, sugar cane and sugar beets. Even castor oil methyl esters which is non-edible in nature also fulfils the requirement of fuel for internal combustion engine. The traditional experimental scheme requires more time for optimization and extensive experiments need to perform as it is possible to vary only one parameter at a time. This also result in increase in cost and it doesn’t provide interactive effect among the chosen variables. Mathematical models of Taguchi method using design of experiments (DOE) provide good results. By using DOE, Taguchi L27 orthogonal array is considered. Analysis of variance (ANOVA), Regression Equation and signal-to-noise (S/ N) ratio are obtained to predict the optimal parameters and to evaluate the influence of significant conditions on performance, emission and combustion characteristics. It is observed from the experiments that ethanol blend percentage and EGR influences on the output parameters.","PeriodicalId":39575,"journal":{"name":"Journal of Mines, Metals and Fuels","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46245655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0