21 doi: 10.32622/ijrat.77201942 Abstract— Crankshaft is one of the large components with a complex geometry in internal combustion engine which converts the reciprocating displacement of the piston into a rotary motion. The study was undertaken with the objective of analysis of single cylinder four stroke engine of Super Splendor Crankshaft using ANSYS Software for different materials and optimize the best materials for crankshaft. The three materials used were Structural Steel, Aluminum Alloy and Nickel Chromium Molybdenum Steel. The measurement of crankshaft of bike engine was taken from bike workshop and model was generated in SolidWorks which was finally imported in ANSYS for Analysis. The stress analysis and total deformation was criteria for optimization of crankshaft materials. The comparative study was done by comparing both analytical as well as software generated results. The value of von-misses stresses of analysis is less than the material yield stress so this design is safe. From this work, the maximum stress appears at the area between crank journal and crank cheeks. By comparing von-misses stress values, Aluminum Alloy has higher strength and shows lower stress value (146.28 MPa) than other materials. Because of the more strength, Aluminum Alloy crankshaft can withstand load and is best materials for crankshaft among three.
{"title":"Design and Analysis of Crankshaft of Single Cylinder Four Stroke Engine Using ANSYS Software","authors":"S. Yadav, E. Prakash","doi":"10.32622/ijrat.77201942","DOIUrl":"https://doi.org/10.32622/ijrat.77201942","url":null,"abstract":"21 doi: 10.32622/ijrat.77201942 Abstract— Crankshaft is one of the large components with a complex geometry in internal combustion engine which converts the reciprocating displacement of the piston into a rotary motion. The study was undertaken with the objective of analysis of single cylinder four stroke engine of Super Splendor Crankshaft using ANSYS Software for different materials and optimize the best materials for crankshaft. The three materials used were Structural Steel, Aluminum Alloy and Nickel Chromium Molybdenum Steel. The measurement of crankshaft of bike engine was taken from bike workshop and model was generated in SolidWorks which was finally imported in ANSYS for Analysis. The stress analysis and total deformation was criteria for optimization of crankshaft materials. The comparative study was done by comparing both analytical as well as software generated results. The value of von-misses stresses of analysis is less than the material yield stress so this design is safe. From this work, the maximum stress appears at the area between crank journal and crank cheeks. By comparing von-misses stress values, Aluminum Alloy has higher strength and shows lower stress value (146.28 MPa) than other materials. Because of the more strength, Aluminum Alloy crankshaft can withstand load and is best materials for crankshaft among three.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86304348","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}
When Curtain Side Airbags are validated in real environment, a great variability in deployment behavior and performance is observed and many optimization loops are executed to mitigate that variability, with potential extra costs and time delays. The present study analyzes the Curtain Airbag performance in order to develop design best practices able to reduce the variability of his behavior and maximize the performance of his deployment. To achieve this goal the DFSS methodology has been applied and ad hoc experimental parameters have been identified to evaluate Curtain Airbag behavior. Noise factors and control factors have been defined and experimental testing has been executed to evaluate the contribution of each control factor to the overall performance. Finally, control factors that maximize the Signal to Noise ratio and the airbag performance have been chosen and translated into engineering best practices.
{"title":"Curtain Airbag design for Robust Deployment","authors":"Claudio Guerra, Nicola Leomanni","doi":"10.32622/IJRAT.77201903","DOIUrl":"https://doi.org/10.32622/IJRAT.77201903","url":null,"abstract":"When Curtain Side Airbags are validated in real environment, a great variability in deployment behavior and performance is observed and many optimization loops are executed to mitigate that variability, with potential extra costs and time delays. The present study analyzes the Curtain Airbag performance in order to develop design best practices able to reduce the variability of his behavior and maximize the performance of his deployment. To achieve this goal the DFSS methodology has been applied and ad hoc experimental parameters have been identified to evaluate Curtain Airbag behavior. Noise factors and control factors have been defined and experimental testing has been executed to evaluate the contribution of each control factor to the overall performance. Finally, control factors that maximize the Signal to Noise ratio and the airbag performance have been chosen and translated into engineering best practices.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"6 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91489614","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}
Blended learning, a thoughtful integration of face-to-face and online learning aims at: improving students‟ learning outcome and providing personalized learning experience through eLearning technologies, such as Moodle. To ascertain the benefits of blended learning, a study is performed on 150 students of the blended course offered at RGUKT Nuzvid through the Moodle Platform. The activity log files generated by the Moodle are collected at the end of the course. A set of the metrics are derived from the log files and actual grade of the corresponding students are obtained from final exam result. The metrics obtained from the log files are mapped to the final grade using a classification technique (Decision Tree Classification) and the hidden rules are generated to show the relation between the metrics and the final Grade. The results show the significance of the model.
{"title":"Activity Based Students’ Performance Measure Using Moodle Log Files","authors":"Kalpana Singh, Uday Kumar, Kumar Anurupam","doi":"10.32622/IJRAT.77201901","DOIUrl":"https://doi.org/10.32622/IJRAT.77201901","url":null,"abstract":"Blended learning, a thoughtful integration of face-to-face and online learning aims at: improving students‟ learning outcome and providing personalized learning experience through eLearning technologies, such as Moodle. To ascertain the benefits of blended learning, a study is performed on 150 students of the blended course offered at RGUKT Nuzvid through the Moodle Platform. The activity log files generated by the Moodle are collected at the end of the course. A set of the metrics are derived from the log files and actual grade of the corresponding students are obtained from final exam result. The metrics obtained from the log files are mapped to the final grade using a classification technique (Decision Tree Classification) and the hidden rules are generated to show the relation between the metrics and the final Grade. The results show the significance of the model.","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78252083","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}
Balram khote, Sarita Sharma, Neetu Singh, Ashok K. Sharma
Abstract - Rhodamine-B was removed from prepared synthetic aqueous dye solution by activated carbon prepared from bark of Vachellia Nilotica. The influence of process parameters such as interaction time, dose, pH and initial concentration are investigated and presented. The adsorption equilibrium values analysis was performed with different isotherm models such as Freundlich, Langmuir Isotherm, Toth, R-P, and Fritz-Schulender isotherm model is best fitted for Rhodamine –B dye removal. Present study shows that bark of Babul Tree [BBT] is efficient for removal of Rhodamine-B
{"title":"Studies on Removal of Rhodamine-B Dye by Using Bark of Vachellia Nilotica Tree","authors":"Balram khote, Sarita Sharma, Neetu Singh, Ashok K. Sharma","doi":"10.32622/ijrat.77201935","DOIUrl":"https://doi.org/10.32622/ijrat.77201935","url":null,"abstract":" Abstract - Rhodamine-B was removed from prepared synthetic aqueous dye solution by activated carbon prepared from bark of Vachellia Nilotica. The influence of process parameters such as interaction time, dose, pH and initial concentration are investigated and presented. The adsorption equilibrium values analysis was performed with different isotherm models such as Freundlich, Langmuir Isotherm, Toth, R-P, and Fritz-Schulender isotherm model is best fitted for Rhodamine –B dye removal. Present study shows that bark of Babul Tree [BBT] is efficient for removal of Rhodamine-B","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81867179","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}
Since past many years, a large amount of raw data is getting converted into digital data within the information era. Maintaining and procuring the data is busy task for all the users who are willing to access the information in line with the requirements, however, the digital knowledge that's unbroken throughout this globe is not relevant in line with the need of the users. To overcome this problem classification process plays a major role to classify the data according to the need of the customer and provide relevant information. The classification algorithm is the process of extracting the information from the large data set and classifying the data which helps the customer to get the relevant information. Multi-class classification is the process of classifying more than two outcomes. Most of the algorithms produce good results when the target classes are few but as the target classes increase the accuracy reduces. There are also cases in classification where instead of classifying a category in the target function, we classify a code. Imagine we want to classify a product code from a large corpus based on the text written by a user. In our paper, we study the repercussions of a corpus which outgrows memory after vectorizing and perform a comparative analysis of various algorithms used during the process with our algorithm. We have represented the Granular Hybrid Model algorithm to classify the ocean ship food catalogue data set based on the user need and product code at a granular level and also by taking care of memory constraints which is a major drawback of normal classification algorithms. Our algorithm has represented a good accuracy of around 75% compared to other algorithms by considering the memory constraints of a huge data set of Ocean ship food catalogue. Keywords— Machine Learning, Natural Language Processing, Tf-Idf, Sklearn Technique, Granular Hybrid Classification Algorithm
{"title":"Text Mining: Classification of Text Documents using Granular Hybrid Classification Technique","authors":"Shivaprasad Km, Dr. T Hanumantha Reddy","doi":"10.32622/IJRAT.76201910","DOIUrl":"https://doi.org/10.32622/IJRAT.76201910","url":null,"abstract":"Since past many years, a large amount of raw data is getting converted into digital data within the information era. Maintaining and procuring the data is busy task for all the users who are willing to access the information in line with the requirements, however, the digital knowledge that's unbroken throughout this globe is not relevant in line with the need of the users. To overcome this problem classification process plays a major role to classify the data according to the need of the customer and provide relevant information. The classification algorithm is the process of extracting the information from the large data set and classifying the data which helps the customer to get the relevant information. Multi-class classification is the process of classifying more than two outcomes. Most of the algorithms produce good results when the target classes are few but as the target classes increase the accuracy reduces. There are also cases in classification where instead of classifying a category in the target function, we classify a code. Imagine we want to classify a product code from a large corpus based on the text written by a user. In our paper, we study the repercussions of a corpus which outgrows memory after vectorizing and perform a comparative analysis of various algorithms used during the process with our algorithm. We have represented the Granular Hybrid Model algorithm to classify the ocean ship food catalogue data set based on the user need and product code at a granular level and also by taking care of memory constraints which is a major drawback of normal classification algorithms. Our algorithm has represented a good accuracy of around 75% compared to other algorithms by considering the memory constraints of a huge data set of Ocean ship food catalogue. Keywords— Machine Learning, Natural Language Processing, Tf-Idf, Sklearn Technique, Granular Hybrid Classification Algorithm","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73946676","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}
{"title":"Study on Haze Imaging Model and Image Restoration Schemes for Hazy Remote Sensing Images","authors":"N. Bibi, Dr.C. Vasanthanayaki","doi":"10.32622/ijrat.76201940","DOIUrl":"https://doi.org/10.32622/ijrat.76201940","url":null,"abstract":"","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77248296","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}
{"title":"Experimental Investigation of Mechanical Properties on Kevlar and Flax Fiber Reinforced Hybrid Composite Material with Filler Material","authors":"M. J. Prakash, Dr.B.V.Ramana Murty","doi":"10.32622/IJRAT.76201938","DOIUrl":"https://doi.org/10.32622/IJRAT.76201938","url":null,"abstract":"","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"89 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80327670","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}
{"title":"Performance Evaluation of Box Type Solar Cooker using PCM","authors":"E. Prakash","doi":"10.32622/IJRAT.76201955","DOIUrl":"https://doi.org/10.32622/IJRAT.76201955","url":null,"abstract":"","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91126812","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}
{"title":"A Survey on Test pattern compression Techniques in Analog and Mixed signal circuits","authors":"J. Poornimasre, R. Harikumar, P. Saravanakumar","doi":"10.32622/IJRAT.76201902","DOIUrl":"https://doi.org/10.32622/IJRAT.76201902","url":null,"abstract":"","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82131656","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}
{"title":"http://www.ijrat.org/archives/VOLUME-7-ISSUE-6","authors":"Sudhanshu Aggarwal, Gyanvendra Pratap Singh","doi":"10.32622/ijrat.76201932","DOIUrl":"https://doi.org/10.32622/ijrat.76201932","url":null,"abstract":"","PeriodicalId":14303,"journal":{"name":"International Journal of Research in Advent Technology","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86826412","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}
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