Failure Analysis and Fatigue Life Improvement of Steering Mechanism of Heavy Commercial Vehicles Using FEA

Tie rods or Track rods are an integral part of vehicle's steering system. Just as its name suggests a Tie rod ties vehicle's steering rack to the steering arm. It is used to give direction to tires according to steering wheel movement. A tie rod assembly is attached to each end of the relay rod. The tie rod assembly consists of inner and outer tie rods that are usually connected through an adjusting sleeve. Tie rod may get fail due to varying forces and bumping of vehicle during steering. The forces from the steering are also considered during the static condition of car. The finite element models of the modified tie rod also analyzed to find stiffness and stress distributions in each component. 

by Mr. Omkar G. Purkar | Prof. P. R. Pimpalkar "Failure Analysis and Fatigue Life Improvement of Steering Mechanism of Heavy Commercial Vehicles Using FEA" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd46441.pdf 

Paper URL : https://www.ijtsrd.com/engineering/mechanical-engineering/46441/failure-analysis-and-fatigue-life-improvement-of-steering-mechanism-of-heavy-commercial-vehicles-using-fea/mr-omkar-g-purkar

callforpaperpapersinjournals, specialissuepublication, multidisciplinaryjournal

Potential Implications of Production and Market Risks on Potato Farming Enterprise among Smallholder Farmers in Tanzania

Despite the risks that potato smallholder farmers face that are thought to affect the profitability and viability of the enterprise, little is known on the implications of the production and market risks on potato farming enterprise in Tanzania. Therefore, this study aims at determining the effects of production and market risks on potato farming enterprise among smallholder farmers in the study area. Therefore, this study uses cross sectional data collected from 384 potato smallholder farmers in 2019, to first the likelihood of the selected production and market risks affect potato farming enterprise and how they affect the potato farm income among smallholder farmers. Data is analysed by use of descriptive statistics and, a multiple regression model is used to determine the effect of the selected production and market risks on potato farming enterprise. Empirical results from multiple regression model reveal that, climate risks low rainfall and frost bite and market risks price volatility have a positive and significant effect on potato farming enterprise among smallholder farmers in Tanzania. The findings of this paper have several policy implications. First, potato smallholder farmers to invest hire irrigation facilities especially during low rainfall and frost bites incidences so that they able to take advantages of the low supply of potato in the market hence fetching higher potato market prices. Second, potato smallholder farmers to observe price movement which follows a pattern of being high before the harvest, dropping at harvest time and rising again towards the end of the season. This information, could help potato smallholder farmers to plan when to plant and harvest potatoes and be able to have potatoes ready to sell when prices are good. Third, the government should come up with policies that help potato smallholder farmers to develop resilience mechanisms to manage potato price volatility. The polices should focus on developing Information Communications Technologies ICT related platforms such as M Kilimo with the purpose of improving the content and speed of disseminating market information such as potato price volatility. 

by Semeni Ngozi | Patience Mshenga | Isaac Maina Kariuki "Potential Implications of Production and Market Risks on Potato Farming Enterprise among Smallholder Farmers in Tanzania" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd46378.pdf 

Paper URL : https://www.ijtsrd.com/engineering/agricultural-engineering/46378/potential-implications-of-production-and-market-risks-on-potato-farming-enterprise-among-smallholder-farmers-in-tanzania/semeni-ngozi

callforpaperarts, artsjournal, peerreviewedjournal 

Comparison of Seismic Analysis of Multi Storyed Building Using Shear Wall in Seismic Zones III and IV

Looking to the past records of earthquakes, theres expansion inside the interest of quake opposing structures which may be fulfilled by giving the shear wall frameworks inside the structure. Furthermore inferable from the principal quakes inside the new taps the codal arrangements updated and executing extra weight age on seismic tremor style of construction. Typically shear divider will be illustrated as the underlying vertical part that is prepared to oppose a blend of shear, second and hub load iatrogenic by parallel burden and gravity load move to the wall from various help. This research work centers on the correlation of seismic investigation of private structures utilizing supporting and shear walls. The investigation of the building is conveyed in each of the four seismic which are Zone III and Zone IV. This investigation contains understanding the key parts responsible for the construction to perform severely during a seismic tremor, with the goal that they acquire their reasonable attributes for the further quakes. Demonstrating of the design will be done through STAAD professionals. V8i programming. Times pan of the design in bidirectional is reestablished from the programming itself just according to IS 1893 part 1 2002

by Sonal Asnani | Prof. Rashmi Sakalle "Comparison of Seismic Analysis of Multi Storyed Building Using Shear Wall in Seismic Zones III and IV" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd46437.pdf 

Paper URL : https://www.ijtsrd.com/engineering/civil-engineering/46437/comparison-of-seismic-analysis-of-multi-storyed-building-using-shear-wall-in-seismic-zones-iii-and-iv/sonal-asnani

callforpaperphysics, physicsjournal

Seismic Analysis and Design of Reinforced Concrete Multistory Building under Different Zone's

Impact of wind load as a marvel on structures, especially tall plans cant be unseen. Its major to ponder the deferred result of wind in style and appraisal of plans. The plan is explored for the gravity loads and besides for the equivalent loads for example wind load in zone ii Bhopal , zone iii Nagpur , zone iv Delhi , zone v Calcutta , zone vi Darbhanga .The structure is made on the thing known as staad.pro v8i. This appraisal is the assessment of the Reinforced strong cement multi story building G 10 . The codes utilized for the evaluations of Dead weight are IS 875 Part 1 1987 ,for live weight the code IS 875 Part 2 1987 and for the incorporates of wind power in various breeze zones are IS 875 fragment 3 1987.The deferred result of these appraisal shows the adjustment of forces, departures responses and weight of steel the proportion of partner material expected to negate equivalent loads will increase without a doubt. Amount of essential material expected to go against sidelong loads will augment profoundly. 

by Subodh Kumar | Prof. Priyanka Dubey "Seismic Analysis & Design of Reinforced Concrete Multistory Building under Different Zone's" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd46404.pdf 

Paper URL : https://www.ijtsrd.com/engineering/civil-engineering/46404/seismic-analysis-and-design-of-reinforced-concrete-multistory-building-under-different-zone's/subodh-kumar

callforpapertechnology, technologyjournal

Machine Learning in Material Characterization

Machine learning has shown great potential applications in material science. It is widely used in material design, corrosion detection, material screening, new material discovery, and other fields of materials science. The majority of ML approaches in materials science is based on artificial neural networks ANNs . The use of ML and related techniques for materials design, development, and characterization has matured to a main stream field. This paper focuses on the applications of machine learning strategies for material characterization. 

by Matthew N. O. Sadiku | Guddi K. Suman | Sarhan M. Musa "Machine Learning in Material Characterization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd46392.pdf 

Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/46392/machine-learning-in-material-characterization/matthew-n-o-sadiku

callforpaperinternationaljournal, ugclistofjournals, bestinternationaljournal  

Health Risk Prediction Using Support Vector Machine with Gray Wolf Optimization in Covid 19 Pandemic Crisis

The opinion of disease is important for Covid 19 as the antigen kit and RTPCR are unperfect and should be better for diagnosing such disease. Real Time Return Transcription real time converse transcription - polymerase chain . Healthcare practices include the collection of various sorts of patient data to help the physician diagnose the patients health. These data could be simple symptoms, first diagnosis by a doctor, or an in depth laboratory test. These data are therefore used for analyses only by a doctor, who subsequently uses his particular medical skills to found the ailment. In order to classify Covid 19 disease datasets such mild, middle and severe diseases, the proposed model utilizes the notion of controlled machine education and GWO optimization to regulate if the patient is affecting or not. An efficiency analysis is calculated and compared of disease data for both algorithms. The results of the simulations illustrate the effective nature and complexity of the data set for the grading techniques. Compared to SVM, the suggested model provides 7.8 percent improved prediction accuracy. The prediction accuracy is 8 better than the SVM. This results in an F1 score of 2 percent better than an SVM forecast. 

by Swati Shilpi | Dr. Damodar Prasad Tiwari "Health Risk Prediction Using Support Vector Machine with Gray Wolf Optimization in Covid-19 Pandemic Crisis" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd46400.pdf 

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/46400/health-risk-prediction-using-support-vector-machine-with-gray-wolf-optimization-in-covid19-pandemic-crisis/swati-shilpi

internationaljournalsinengineering, callforpaperengineering, ugcapprovedengineeringjournal 

Study on Minimum Quantity Lubricant Conditions to Improve the Surface Roughness in Hard Turning of SKD 61 Alloy Steel

In this research, Taguchi method was applied to find the optimal values of minimum quantity lubricant MQL condition in hard turning of SKD 61 with consideration of reduced surface roughness. The performance characteristics of MQL parameters cutting fluid type, pressure and fluid flow were studied by using a L9 array, the signal to noise ratios and analysis of variance ANOVA . In result of the present study, the lubricant and the pressure of MQL condition are the most influential factors which give statistic significant effect on machined surfaces. In addition, the optimal condition of the MQL mode to reduce the roughness was also presented. 

by The-Vinh Do "Study on Minimum Quantity Lubricant Conditions to Improve the Surface Roughness in Hard Turning of SKD 61 Alloy Steel" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd46369.pdf 

Paper URL : https://www.ijtsrd.com/engineering/mechanical-engineering/46369/study-on-minimum-quantity-lubricant-conditions-to-improve-the-surface-roughness-in-hard-turning-of-skd-61-alloy-steel/thevinh-do

internationaljournalsofcomputerscience, callforpapercomputerscience, ugcapprovedjournalsforcomputerscience