Pub Date : 2023-01-01DOI: 10.56042/ijems.v1i1.65437
{"title":"Optimisation of Diffusion Welding Parameters in Al-Cu Bimetal for Shaped Charge Application","authors":"","doi":"10.56042/ijems.v1i1.65437","DOIUrl":"https://doi.org/10.56042/ijems.v1i1.65437","url":null,"abstract":"","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87999708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.56042/ijems.v29i5.46911
{"title":"Surface Tension of Polyurethane Solution and Thermodynamic Model","authors":"","doi":"10.56042/ijems.v29i5.46911","DOIUrl":"https://doi.org/10.56042/ijems.v29i5.46911","url":null,"abstract":"","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77620271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.56042/ijems.v29i5.48825
{"title":"Structure Determination of Al2CuMg Precipitates in AlCu15Mg5 Alloys by High-Resolution Electron Microscopy","authors":"","doi":"10.56042/ijems.v29i5.48825","DOIUrl":"https://doi.org/10.56042/ijems.v29i5.48825","url":null,"abstract":"","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77636876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.56042/ijems.v29i2.46466
A. M. Moshi, S. Bharathi
Optimization is ruling the entire field of machining and material processing technology from the time at which the revolution took place in machining processes. Various types of machining algorithms have been developed so far for optimizing the independent control factors in order to get the improved results of desirable output responses. Each algorithm has its own special features which made them useful in deriving the optimized solutions under different conditions. Suitable algorithm is chosen for the required case depending upon the nature of the problem, the requirement of the order of precision and the availability of optimization tools. In this review article, the general flow of few important algorithms has been explained in a simpler manner to be understood by the recent researchers. Also, required numbers of case studies for each algorithm have been provided extensively. This consolidated work will surely be helpful for the new researchers those who have entered into the domain of optimization.
{"title":"Effective utilization of optimization algorithms on machining operations","authors":"A. M. Moshi, S. Bharathi","doi":"10.56042/ijems.v29i2.46466","DOIUrl":"https://doi.org/10.56042/ijems.v29i2.46466","url":null,"abstract":"Optimization is ruling the entire field of machining and material processing technology from the time at which the revolution took place in machining processes. Various types of machining algorithms have been developed so far for optimizing the independent control factors in order to get the improved results of desirable output responses. Each algorithm has its own special features which made them useful in deriving the optimized solutions under different conditions. Suitable algorithm is chosen for the required case depending upon the nature of the problem, the requirement of the order of precision and the availability of optimization tools. In this review article, the general flow of few important algorithms has been explained in a simpler manner to be understood by the recent researchers. Also, required numbers of case studies for each algorithm have been provided extensively. This consolidated work will surely be helpful for the new researchers those who have entered into the domain of optimization.","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77811084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.56042/ijems.v29i4.46838
Anshu Parashar, Kuljot Singh Saggu, Anupam Garg
Cybersecurity issues are increasing day by day, and it is becoming essential to address them aggressively. An efficient IDS system should be placed to identify abnormal behaviour by dynamically tracing the network traffic pattern. In this work, we proposed a framework for Network Intrusion Detection System using stacking ensemble technique of machine learning, which is testified on Random Forest Regressor and Extra Tree Classifier approaches for feature selections from the subjected dataset. The extensive experimentation has been done by applying 11 states of the art and hybrid machine learning algorithms to select the best performing algorithms. During the investigation, Random Forest, ID3 and XGBoost algorithms are found as best performers among different machine learning algorithms based on accuracy, precision, recall, F1-score and time to increase real-time attack detection performance. Three case studies have been carried out. Our results indicate that the proposed stacking ensemble-based framework of NIDS outperformed compared to the different state of art machine learning algorithms with average 0.99 prediction accuracy.
{"title":"Machine learning based framework for network intrusion detection system using stacking ensemble technique","authors":"Anshu Parashar, Kuljot Singh Saggu, Anupam Garg","doi":"10.56042/ijems.v29i4.46838","DOIUrl":"https://doi.org/10.56042/ijems.v29i4.46838","url":null,"abstract":"Cybersecurity issues are increasing day by day, and it is becoming essential to address them aggressively. An efficient IDS system should be placed to identify abnormal behaviour by dynamically tracing the network traffic pattern. In this work, we proposed a framework for Network Intrusion Detection System using stacking ensemble technique of machine learning, which is testified on Random Forest Regressor and Extra Tree Classifier approaches for feature selections from the subjected dataset. The extensive experimentation has been done by applying 11 states of the art and hybrid machine learning algorithms to select the best performing algorithms. During the investigation, Random Forest, ID3 and XGBoost algorithms are found as best performers among different machine learning algorithms based on accuracy, precision, recall, F1-score and time to increase real-time attack detection performance. Three case studies have been carried out. Our results indicate that the proposed stacking ensemble-based framework of NIDS outperformed compared to the different state of art machine learning algorithms with average 0.99 prediction accuracy.","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78028709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.56042/ijems.v29i1.45904
N. Rattana, Rahul S Mulikb, Aakanksha J Kaushikc, Satish Kumar Sharmad
Travelling wire electrochemical spark machining (TW-ECSM) is newly evolved and developed hybrid machining process for the machining of advanced non-conducting materials which possess significant values of the properties like high strength, high wear and fatigue resistance, high refractoriness and high strength to weight ratio, etc. The control parameters like voltage, wire feed rate, electrolyte concentration and inter-electrode gap were selected as Input Parameters and Material Removal Rate (MRR), and Surface Roughness (SR) were the corresponding output responses. In present work, for multi-objective optimization and purpose of better control of machining parameters, three approaches, grey-relational analysis-principal component analysis (GRA-PCA), fuzzy logic and desirability function approach are used to determine the optimal combination of TW-ECSM process variables. Results of fuzzy logic and GRA-PCA approach are found comparable while desirability function approach is found to be capable of predicting the optimal responses at such levels of process variables also at which experiments are not performed. Consequences of the applied approach in the present work are also validated by conducting the confirmatory experiments and results are found in well agreement with the predicted results.
{"title":"Multi-objective optimization of TW-ECSM process parameters for machining of advanced non-conducting material","authors":"N. Rattana, Rahul S Mulikb, Aakanksha J Kaushikc, Satish Kumar Sharmad","doi":"10.56042/ijems.v29i1.45904","DOIUrl":"https://doi.org/10.56042/ijems.v29i1.45904","url":null,"abstract":"Travelling wire electrochemical spark machining (TW-ECSM) is newly evolved and developed hybrid machining process for the machining of advanced non-conducting materials which possess significant values of the properties like high strength, high wear and fatigue resistance, high refractoriness and high strength to weight ratio, etc. The control parameters like voltage, wire feed rate, electrolyte concentration and inter-electrode gap were selected as Input Parameters and Material Removal Rate (MRR), and Surface Roughness (SR) were the corresponding output responses. In present work, for multi-objective optimization and purpose of better control of machining parameters, three approaches, grey-relational analysis-principal component analysis (GRA-PCA), fuzzy logic and desirability function approach are used to determine the optimal combination of TW-ECSM process variables. Results of fuzzy logic and GRA-PCA approach are found comparable while desirability function approach is found to be capable of predicting the optimal responses at such levels of process variables also at which experiments are not performed. Consequences of the applied approach in the present work are also validated by conducting the confirmatory experiments and results are found in well agreement with the predicted results.","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80299152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.56042/ijems.v29i2.46477
B. Singh, O. P. Jakhar, Ravi Kumar, C. S. Rajoriya
Fruits and vegetables are perishable; they don’t have a shelf life. They contain so much water that their logistic become difficult. Drying is both heat and mass exchange energy activity, mainly utilized as a food preservation technique. Fresh collected ginger has effectively dried from starting moisture content of 86% wet basis (w.b.) to the safe storage moisture content of 13% - 14% (w.b.) in Open Sun Drying (OSD) and hot air oven solar dryers. It has been found that the hot air dryer of the glass-to-glass module took less time (8hrs) as compared to the hot air dryer of an opaque module (10hrs) and Open Sun Drying (OSD) (14hrs). The drying behavior of ginger slices have been analyzed using various mathematical models. Page model has explained the drying behavior of ginger precisely with maximum values of coefficient of determinationi.e.,0.996, 0.997, and 0.994for hot air dryer of glass-to-glass module, opaque module, and OSD respectively, and has minimum reduced chi-square, mean bias error, and root mean square error.
{"title":"Experimental analysis and mathematical modelling of ginger using different solar drying systems","authors":"B. Singh, O. P. Jakhar, Ravi Kumar, C. S. Rajoriya","doi":"10.56042/ijems.v29i2.46477","DOIUrl":"https://doi.org/10.56042/ijems.v29i2.46477","url":null,"abstract":"Fruits and vegetables are perishable; they don’t have a shelf life. They contain so much water that their logistic become difficult. Drying is both heat and mass exchange energy activity, mainly utilized as a food preservation technique. Fresh collected ginger has effectively dried from starting moisture content of 86% wet basis (w.b.) to the safe storage moisture content of 13% - 14% (w.b.) in Open Sun Drying (OSD) and hot air oven solar dryers. It has been found that the hot air dryer of the glass-to-glass module took less time (8hrs) as compared to the hot air dryer of an opaque module (10hrs) and Open Sun Drying (OSD) (14hrs). The drying behavior of ginger slices have been analyzed using various mathematical models. Page model has explained the drying behavior of ginger precisely with maximum values of coefficient of determinationi.e.,0.996, 0.997, and 0.994for hot air dryer of glass-to-glass module, opaque module, and OSD respectively, and has minimum reduced chi-square, mean bias error, and root mean square error.","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84224140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.56042/ijems.v29i6.70245
{"title":"Piezoelectric Smart Material Based Self-Charging Supercapacitor","authors":"","doi":"10.56042/ijems.v29i6.70245","DOIUrl":"https://doi.org/10.56042/ijems.v29i6.70245","url":null,"abstract":"","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85992976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.56042/ijems.v29i6.70311
{"title":"Temperature and Strain Rate Dependent Anisotropic Plastic Deformation Behavior of AZ31B Mg Alloy","authors":"","doi":"10.56042/ijems.v29i6.70311","DOIUrl":"https://doi.org/10.56042/ijems.v29i6.70311","url":null,"abstract":"","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77249483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.56042/ijems.v29i5.48219
{"title":"Sequential Enzymatic and Oxidative Pre-Treatment Effect on Natural Lignocellulosic Fibres","authors":"","doi":"10.56042/ijems.v29i5.48219","DOIUrl":"https://doi.org/10.56042/ijems.v29i5.48219","url":null,"abstract":"","PeriodicalId":13464,"journal":{"name":"Indian Journal of Engineering and Materials Sciences","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73173199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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